diff --git a/.github/workflows/docs-next-build.yml b/.github/workflows/docs-next-build.yml
index 06731855b803f..090be3ae24b7e 100644
--- a/.github/workflows/docs-next-build.yml
+++ b/.github/workflows/docs-next-build.yml
@@ -53,6 +53,36 @@ jobs:
                     echo "No docs-next-related changes detected; skipping build."
                 fi
 
+            - name: Enforce docs-next mirror for legacy 4.x doc changes
+              run: |
+                set -e
+                BASE_SHA="${{ github.event.pull_request.base.sha }}"
+                HEAD_SHA="${{ github.event.pull_request.head.sha }}"
+                CHANGED=$(git diff --name-only "$BASE_SHA" "$HEAD_SHA")
+
+                LEGACY_EN=$(echo "$CHANGED" | grep -E '^versioned_docs/version-4\.x/' || true)
+                LEGACY_ZH=$(echo "$CHANGED" | grep -E '^i18n/zh-CN/docusaurus-plugin-content-docs/version-4\.x/' || true)
+                NEXT_EN=$(echo "$CHANGED" | grep -E '^docs-next/' || true)
+                NEXT_ZH=$(echo "$CHANGED" | grep -E '^i18n/zh-CN/docusaurus-plugin-content-docs-next/current/' || true)
+
+                FAIL=0
+                if [ -n "$LEGACY_EN" ] && [ -z "$NEXT_EN" ]; then
+                    echo "::error::Changes detected under versioned_docs/version-4.x/ but no corresponding changes under docs-next/. Please mirror the edits into docs-next/."
+                    echo "Legacy EN files changed:"
+                    echo "$LEGACY_EN"
+                    FAIL=1
+                fi
+                if [ -n "$LEGACY_ZH" ] && [ -z "$NEXT_ZH" ]; then
+                    echo "::error::Changes detected under i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/ but no corresponding changes under i18n/zh-CN/docusaurus-plugin-content-docs-next/current/. Please mirror the edits."
+                    echo "Legacy zh-CN files changed:"
+                    echo "$LEGACY_ZH"
+                    FAIL=1
+                fi
+                if [ "$FAIL" -ne 0 ]; then
+                    exit 1
+                fi
+                echo "✅ Legacy 4.x / docs-next mirroring check passed"
+
             - name: Use Node.js
               if: steps.changes.outputs.relevant == 'true'
               uses: actions/setup-node@v4
diff --git a/prompt/img-illustration-style-guide.md b/doc-tools/prompts/img-illustration-style-guide.md
similarity index 100%
rename from prompt/img-illustration-style-guide.md
rename to doc-tools/prompts/img-illustration-style-guide.md
diff --git a/doc-tools/skills/doris-doc-optimize/SKILL.md b/doc-tools/skills/doris-doc-optimize/SKILL.md
new file mode 100644
index 0000000000000..5168e10f6866e
--- /dev/null
+++ b/doc-tools/skills/doris-doc-optimize/SKILL.md
@@ -0,0 +1,170 @@
+---
+name: doris-doc-optimize
+description: Restructure and SEO/GEO-optimize an existing Apache Doris user documentation file (`.md` / `.mdx`), primarily under `i18n/zh-CN/docusaurus-plugin-content-docs-next/current/` or `docs-next/`. The skill reorganizes the doc from a user-scenario perspective, applies tables and lists for parameters / scenarios / FAQs, fixes formatting (4-space indent, code-block language tags, blank lines, Chinese/English spacing, command-concatenation bugs), validates every external link with `curl` and every `/images/...` reference against `static/`, and updates the frontmatter `description` + `keywords` per the bundled `./references/seo-geo.md` guide — all without changing the original meaning or dropping any technical content (commands, parameters, YAML, sample outputs, images are preserved verbatim). Use this skill whenever the user points at a single Doris doc file and asks to "优化这篇文档", "重新组织这篇文档", "帮我优化文档结构", "对这篇文章进行 SEO 优化", "按 SEO/GEO 优化这篇文档", "调整一下这篇文档的结构", "把这篇文档润色一下", "optimize this doc", "restructure this doc", "polish this doc", or anything similar — even if the user only says "make this doc better" or "这篇文档读起来不顺" while pointing at a Doris doc path. Do NOT use this skill for translating between languages (use `doris-translate-zh-to-en` instead), writing a brand-new doc from scratch (use `doris-feature-card` or `doc-coauthoring`), or pure link-checking without restructure (use `check-md-links` instead).
+---
+
+# Doris Doc Optimize
+
+Optimize an existing Apache Doris user-documentation file in place: restructure for clarity, apply SEO/GEO best practices, fix formatting, and verify links — all while preserving every piece of technical content from the original.
+
+## Audience and intent
+
+The user has a Doris doc that is technically correct but hard to scan, has weak SEO metadata, or has accumulated small format / grammar issues. They want the same content reorganized to be more useful for readers and search engines. They are **not** asking for new technical material, translation, or a from-scratch rewrite.
+
+The most common files this skill operates on:
+- `i18n/zh-CN/docusaurus-plugin-content-docs-next/current/**/*.md` (Chinese docs, JSON-style frontmatter inside `---` fences)
+- `docs-next/**/*.md` or `docs-next/**/*.mdx` (English docs, YAML frontmatter)
+
+## Inputs
+
+- **Required**: a path to one `.md` or `.mdx` file (typically the user `@`-references it or pastes the path). If the user gives multiple files or a directory, stop and ask which single file to optimize — this skill operates on one file at a time.
+- **Optional**: extra instructions the user adds (e.g. "保留所有截图", "再加一节 troubleshooting"). Treat these as constraints layered on top of the default workflow.
+
+If no file path is provided, ask for one before doing anything else. Do not guess.
+
+## Paths used by this skill
+
+At runtime the working directory is the `doris-website` repo root. The paths below mix two conventions — pay attention to which is which:
+
+- **SEO/GEO guide (must read at runtime)**: `./references/seo-geo.md` **relative to this skill's directory** — i.e. resolve it as `doc-tools/skills/doris-doc-optimize/references/seo-geo.md` from the repo root. This is the source of truth for description length, keyword strategy, knowledge-type meta comments, and structural patterns. Read it on every run; it can evolve.
+- **Static image assets** (repo-relative): `./static/` — internal references like `/images/next/install/foo.png` must resolve to `./static/images/next/install/foo.png`.
+- **Internal doc cross-references**: never include `.md` / `.mdx` extensions (project convention).
+
+## Workflow
+
+Run the steps in order. Step 1 (read the file) and step 2 (read the SEO/GEO guide) can run in parallel.
+
+### Step 1 — Read the target file
+
+Read the entire file. Note:
+- Frontmatter style (JSON-inside-`---` for zh-CN Doris docs, YAML elsewhere) — preserve it exactly.
+- All code blocks, YAML samples, image references, and example outputs — these are immutable content; you may regroup them but never delete or rewrite their substance.
+- The language (zh-CN vs en) — this affects keyword strategy and section names.
+
+### Step 2 — Read `./references/seo-geo.md`
+
+Always read the bundled SEO/GEO guide at runtime so the latest conventions apply. The path is relative to this skill's directory — resolve it to `doc-tools/skills/doris-doc-optimize/references/seo-geo.md` from the repo root. Pull from it:
+- The frontmatter checklist (title / description / keywords).
+- The GEO knowledge-type and 适用场景 meta-comment patterns.
+- The structural recommendations per doc type (Guide / Reference / Feature / Tutorial / FAQ / Mixed).
+
+### Step 3 — Plan the new structure
+
+Before writing, sketch the target outline. The goal is **scenario-driven** organization — the reader should be able to answer "is this doc for me?" within the first screen, then follow a clear path to action.
+
+A typical reshape adds these sections near the top (use only the ones that apply — don't pad):
+
+1. **Opening paragraph** — one short paragraph framing who the doc is for and what they will achieve.
+2. **适用场景 / Use cases** — a table when there are multiple scenarios; omit if the doc has a single obvious use case.
+3. **前置条件 / Prerequisites** — a bulleted list of environment / version / permission requirements; omit if there are none.
+4. **流程总览 / Overview** — a numbered list of the high-level steps; only when the doc has a multi-step procedure (≥3 steps).
+
+For the body:
+- Group related content into clear H2 sections, with H3 sub-steps.
+- Each procedural block follows **目的 → 命令 → 说明** (intent → command → explanation), so a reader copying commands always knows why.
+- Move parameter explanations into tables (one row per field).
+- End with a **常见问题 / Troubleshooting** table when the doc has clear failure modes (the original had warnings, "if X then Y" prose, or known pitfalls). If the original has none, do not invent failure modes.
+
+**Important**: every heading from the original must have its content reachable in the new version. You may rename, regroup, or split sections — but if any original H2/H3 carried content, that content must land somewhere in the output.
+
+### Step 4 — Rewrite the file
+
+Apply the plan. While rewriting, enforce:
+
+**Content preservation**
+- All commands, YAML, JSON, sample outputs, and image references are kept verbatim. You may move them, but not edit them — except to fix obvious typos in the prose around them, or to fix code-block-internal bugs that are clearly wrong (e.g. two shell commands concatenated with no newline; missing closing brace in a non-functional snippet). When in doubt, leave it as-is and note it in the summary.
+- Never invent new commands, parameters, version numbers, or facts. If the original is ambiguous, preserve the ambiguity.
+
+**Writing**
+- Tighten paragraphs to ≤3 sentences each.
+- Unify terminology — `Kubernetes` (not `kubernetes` or `K8s` mid-sentence), `Prometheus`, `Grafana`, `Helm`, `Doris`, etc. Match the canonical casing of each product name.
+- Insert a space between Chinese characters and adjacent ASCII letters / digits (e.g. `部署 Prometheus`, not `部署Prometheus`).
+- Fix obvious grammar, punctuation, and typos in the prose.
+
+**Structure**
+- Tables for: parameter explanations, scenario matrices, troubleshooting, comparison.
+- Ordered lists for: sequential steps.
+- Unordered lists for: prerequisites, non-sequential items, bullet-point summaries.
+
+**Format hygiene**
+- Indentation: 4 spaces (Markdown nested lists and YAML inside fenced blocks).
+- Code-block language tags: `shell` / `bash` for commands, `yaml` for YAML, `json` for JSON, `sql` for SQL, `text` for plain output (Pod listings, log lines, expected stdout). Do not use `shell` for non-shell output.
+- One blank line between blocks; no trailing blank lines at end of file.
+- Spaces around inline code: `` 访问 `http://...` `` style.
+
+**SEO / GEO**
+- Update frontmatter `description` to be problem-oriented and ≤120 chars. Preserve the existing frontmatter shape (JSON-style for zh-CN Doris docs, YAML elsewhere).
+- Expand `keywords` to cover synonyms, error/scenario keywords, and (for zh-CN) Chinese long-tail variants. Keep the original keywords; only add.
+- Insert `<!-- 知识类型: ... -->` and `<!-- 适用场景: ... -->` HTML comments at the top of major sections per `./references/seo-geo.md`. Place them above the H2/H3 they describe, not inline.
+
+**Internal links**
+- Doc cross-references must NOT include `.md` / `.mdx` extensions (project convention). If the original violates this, fix it.
+
+### Step 5 — Validate links
+
+Run validation in parallel; fast and worth the time.
+
+**External `http(s)` links** — for each unique URL:
+```shell
+curl -sI -o /dev/null -w "%{http_code}\n" <url>
+```
+If HEAD returns 4xx (especially 403/405), retry with `curl -sIL` (follow redirects) and then `curl -sL -o /dev/null -w "%{http_code}\n" <url>` (GET). Accept 2xx and 3xx as alive. Anything else, flag in the summary; do not silently remove the link.
+
+**Image references** — for each `/images/...` path, check that `./static/images/...` exists:
+```shell
+test -f ./static/images/next/install/foo.png && echo OK || echo MISSING
+```
+
+**Internal doc links** — verify the target file exists (with `.md` / `.mdx` / `index.md` fallback, since the project strips extensions). If a link points to a non-existent doc, flag it; do not delete.
+
+### Step 6 — Write the file
+
+Overwrite the target file in place using the `Write` tool. Read first if you haven't yet in this turn (you usually will have, in Step 1).
+
+### Step 7 — Report
+
+Print a short summary listing:
+
+1. **Structural changes** — sections added (适用场景, 前置条件, 流程总览, 常见问题, etc.), sections merged, parameter table extracted from prose.
+2. **SEO/GEO additions** — new `description` (quote it), `keywords` added, knowledge-type meta comments inserted, FAQ table added.
+3. **Bug fixes** — typos / grammar / command-concatenation fixes / wrong code-block language tags / `.md` extensions stripped from internal links. List concretely so the user can spot-check.
+4. **Link-check results** — count of external links checked (all green / N flagged), images verified (all present / N missing). For any flag, name the URL or path.
+
+Keep the summary under ~15 lines. The user can read the diff; the summary's job is to highlight non-obvious changes and any flags that need their attention.
+
+## Constraints and guardrails
+
+These exist because the failure mode for this skill is silent content loss or hallucinated facts — both worse than leaving the doc unchanged.
+
+- **Never invent**: no new commands, parameters, version numbers, error messages, or troubleshooting steps that weren't in the original (or obviously implied by it).
+- **Never delete**: code blocks, image references, example outputs, and admonitions stay. If a section feels redundant, merge it; don't drop it.
+- **Preserve frontmatter shape**: zh-CN Doris docs use a JSON object inside `---` fences — keep that exact form. English docs use standard YAML — keep that.
+- **No `.md` / `.mdx` extensions in internal doc cross-references** — project convention.
+- **Don't translate**: if the user wants Chinese ↔ English, that is `doris-translate-zh-to-en`, not this skill.
+- **One file per invocation**: if asked to optimize a folder, ask which single file to start with.
+
+## Reference example
+
+The canonical example is the install-prometheus-and-grafana doc under `i18n/zh-CN/docusaurus-plugin-content-docs-next/current/install/deploy-on-kubernetes/separating-storage-compute/`. The optimization:
+
+- Added `适用场景` (table), `前置条件` (bullet list), `部署流程总览` (numbered list) at the top.
+- Split each `Step N` into `N.1 / N.2 / N.3` sub-steps, each with intent → command → explanation.
+- Extracted ServiceMonitor YAML field meanings into a parameter table.
+- Added a `常见问题` table at the end covering the four most common failure modes implied by the original prose (Targets not visible, Targets DOWN, Grafana empty, port unreachable).
+- Updated `description` to a 50-char problem-oriented summary; expanded `keywords` with Chinese long-tail terms (`存算分离`, `集群监控`, `指标采集`, `Dashboard`).
+- Inserted `<!-- 知识类型 -->` and `<!-- 适用场景 -->` meta comments at the top of major sections.
+- Fixed an upstream bug where `helm repo add ... helm-charts` and `helm repo update` had been concatenated into one line with no separator.
+- Verified all three external links (`get-helm-3`, prometheus-community charts repo, dashboard JSON) returned 200, and confirmed all three image files existed under `static/images/next/install/`.
+
+That run is a good shape to emulate, but adapt to the doc in front of you — don't force these exact sections onto a doc that doesn't need them.
+
+## Self-check before reporting done
+
+Before printing the summary:
+- Diff the new file against the original mentally: is every code block, image, and YAML sample still present?
+- Did you read `./references/seo-geo.md` this run? (Yes / re-read it.)
+- Did you actually run `curl` on every external link, not just eyeball them?
+- Is the frontmatter shape unchanged?
+- Are there any internal doc cross-references with `.md` / `.mdx` still on them?
+
+If any answer is wrong, fix before reporting.
diff --git a/doc-tools/skills/doris-doc-optimize/references/seo-geo.md b/doc-tools/skills/doris-doc-optimize/references/seo-geo.md
new file mode 100644
index 0000000000000..1c9453ca21daa
--- /dev/null
+++ b/doc-tools/skills/doris-doc-optimize/references/seo-geo.md
@@ -0,0 +1,112 @@
+# SEO and GEO Optimization Techniques (General)
+
+## SEO (Search Engine Optimization)
+
+### 1. Frontmatter Optimization
+
+- **title**: Close to real search queries; include common user keywords
+- **description**: Problem-oriented, usable as a search snippet; keep within 120 characters
+- **keywords**: Cover synonyms and long-tail variants (optional)
+
+### 2. Content Structure
+
+- Clear H2/H3 hierarchy for easy parsing by search engines
+- Provide a checklist or quick navigation at the beginning
+- Each section has explicit subheadings to support quick scanning
+
+### 3. Keyword Coverage
+
+- Cover common error keywords or failure scenarios (e.g., `Too many open files`)
+- Naturally weave in key synonyms (e.g., vector search / semantic search)
+- Make the technical context explicit (Kafka / Iceberg / S3, etc.)
+
+### 4. Enhancement Blocks
+
+- **FAQ block**: Cover common questions to broaden search coverage
+- **Troubleshooting section**: Add common errors and their solutions
+- **Comparison table**: Clarify trade-offs across technology choices
+
+---
+
+## GEO (Generative Engine Optimization)
+
+### 1. Knowledge Type Annotation
+
+Add meta comments at the start of a section to declare the content type:
+
+```html
+<!-- Knowledge Type: Operational Steps -->
+<!-- Knowledge Type: Configuration Parameters -->
+<!-- Knowledge Type: Hardware Requirements -->
+<!-- Knowledge Type: Architecture Decision -->
+```
+
+### 2. Use-Case Annotation
+
+```html
+<!-- Use Case: Pre-deployment Check / Environment Acceptance -->
+<!-- Use Case: Troubleshooting / Performance Tuning -->
+```
+
+### 3. Structured Expression
+
+| Technique | Description |
+|-----------|-------------|
+| Tabulation | Present parameters, configs, and version mappings as tables |
+| Step-by-step | Standardize operational content as "Purpose → Command → Explanation" |
+| Minimal example | Keep example code concise and direct; avoid redundant context |
+| One-line definition | Feature docs should provide a quotable capability definition |
+
+### 4. Conciseness and Decoupling
+
+- Keep each explanatory paragraph to 3 sentences or fewer
+- Avoid mixing content types (Guide vs. Reference)
+- Front-load key information; drop redundant explanation
+
+### 5. Unified Terminology
+
+- Use the same term for the same concept throughout
+- Define a term on first appearance, then use it directly afterward
+- Avoid mixing synonyms
+
+---
+
+## Docusaurus Adaptation
+
+### Frontmatter Best Practices
+
+```yaml
+---
+title: A title the user would actually search
+description: Problem-oriented description, within 120 characters, usable as a search snippet
+keywords:
+  - synonym1
+  - synonym2
+  - error-scenario keyword
+---
+```
+
+### Content Organization
+
+- Use H2 for top-level sections and H3 for sub-steps
+- Add a brief intro sentence before each table
+- Highlight important configuration with tables or lists
+- Annotate expected output for code blocks (when applicable)
+
+### Cross-link
+
+- Add links between related docs
+- Use meaningful link text; avoid "click here"
+
+---
+
+## SEO/GEO Strategy by Document Type
+
+| Type | SEO Focus | GEO Focus |
+|------|-----------|-----------|
+| **Guide** | Executable steps, FAQ, Troubleshooting | Structured steps, knowledge-type annotation |
+| **Reference** | Parameter accuracy, long-tail coverage, clear headings | Tabulated parameters, parseable structure |
+| **Feature** | Scenario coverage, comparison, problem-oriented titles | Capability definition, decomposable structure |
+| **Tutorial** | Clear path, no skipped steps, reusability | Step independence, minimal examples |
+| **FAQ** | Comprehensive question coverage, keyword embedding | Concise, directly quotable answers |
+| **Mixed** | Clear partitioning by type, heading differentiation | Independent blocks, selectively quotable |
diff --git a/docs-next/install/deploy-on-kubernetes/intro.mdx b/docs-next/install/deploy-on-kubernetes/intro.mdx
index e2d558c56c943..b59a4cb90fe1d 100644
--- a/docs-next/install/deploy-on-kubernetes/intro.mdx
+++ b/docs-next/install/deploy-on-kubernetes/intro.mdx
@@ -30,4 +30,10 @@ On Kubernetes, Apache Doris is managed by Doris Operator. Choose the guide that
     description="Deploy a Doris cluster on Kubernetes in storage-compute separation mode"
     link="separating-storage-compute/install-doris-cluster"
 />
+
+<GettingStartedCard
+    title="Deploy Prometheus and Grafana"
+    description="Deploy Prometheus and Grafana on Kubernetes with Helm to collect and visualize metrics for a Doris compute-storage decoupled cluster"
+    link="separating-storage-compute/install-prometheus-and-grafana"
+/>
 </div>
diff --git a/docs-next/install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana.md b/docs-next/install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana.md
new file mode 100644
index 0000000000000..0164217fc615e
--- /dev/null
+++ b/docs-next/install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana.md
@@ -0,0 +1,241 @@
+---
+{
+    "title": "Deploy Prometheus and Grafana",
+    "language": "en",
+    "description": "Deploy Prometheus and Grafana on Kubernetes with Helm to collect and visualize metrics for a Doris compute-storage decoupled cluster.",
+    "keywords": ["Doris", "decoupled storage and compute", "compute-storage decoupled", "Kubernetes", "K8s", "Prometheus", "Grafana", "Helm", "ServiceMonitor", "metric", "metric collection", "cluster monitoring", "monitoring deployment", "Dashboard", "kube-prometheus-stack"]
+}
+---
+
+<!-- Knowledge type: Procedure -->
+<!-- Use cases: monitoring deployment before a Doris compute-storage decoupled cluster goes live, monitoring onboarding for day-to-day operations -->
+
+This document describes how to deploy Prometheus and Grafana on Kubernetes with Helm and connect them to an Apache Doris compute-storage decoupled cluster for metric collection, visualization, and alerting. Prometheus scrapes the HTTP and bRPC metrics exposed by FE, BE, and Meta Service. Grafana presents the cluster status through dashboards.
+
+## Use Cases
+
+| Scenario | Description |
+|------|------|
+| New cluster onboarding | Set up monitoring before the Doris compute-storage decoupled cluster goes into production so anomalies can be detected in time. |
+| Day-to-day operations | Continuously observe the key metrics of FE, BE, and Meta Service, along with node resource usage. |
+| Troubleshooting | Use historical metrics, dashboard views, and alerts to quickly pinpoint performance or availability issues. |
+| Capacity planning | Evaluate when to scale out based on the trend of node and component metrics. |
+
+## Prerequisites
+
+- A usable Kubernetes cluster with `kubectl` already configured.
+- A compute-storage decoupled cluster already deployed in the `default` namespace through Doris Operator, with all three component types (FE, BE/Compute Group, Meta Service) ready.
+- Nodes have public network access and can download the Helm installation script, Prometheus Community Charts, and the Grafana Dashboard JSON file.
+- Permissions to create namespaces, Helm Releases, ServiceMonitors, and other resources in Kubernetes.
+
+## Deployment Overview
+
+1. Install Helm, and deploy Prometheus, Grafana, and Alertmanager in one step through `kube-prometheus-stack`.
+2. Configure a Prometheus `ServiceMonitor` so that Prometheus can auto-discover and scrape the HTTP and bRPC metrics of the Doris cluster.
+3. Log in to Grafana, import the official Doris dashboard, and add a node monitoring panel as needed.
+
+## Step 1: Deploy Helm, Prometheus, and Grafana
+
+<!-- Knowledge type: Procedure -->
+
+### 1.1 Install Helm
+
+Purpose: Install Helm 3 on a local machine or operations node to install and manage the monitoring components on Kubernetes.
+
+```shell
+curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash
+```
+
+### 1.2 Add the Prometheus Community Helm Repository
+
+Purpose: Register the repository that hosts the `kube-prometheus-stack` Chart, and refresh the local cache.
+
+```shell
+helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
+helm repo update
+```
+
+### 1.3 Deploy kube-prometheus-stack
+
+Purpose: Deploy Prometheus, Grafana, Alertmanager, and the related Operator in a dedicated `monitoring` namespace.
+
+```shell
+# Create the namespace
+kubectl create namespace monitoring
+
+# Deploy kube-prometheus-stack
+helm install prometheus prometheus-community/kube-prometheus-stack -n monitoring
+```
+
+### 1.4 Check Pod Status
+
+Purpose: Confirm that all Pods in the monitoring stack are in the `Running` state before moving on to the next step.
+
+```shell
+kubectl get pods -n monitoring
+```
+
+A normal output looks like the following:
+
+```text
+NAME                                                     READY   STATUS    RESTARTS         AGE
+alertmanager-prometheus-kube-prometheus-alertmanager-0   2/2     Running   8 (5h28m ago)    4d23h
+prometheus-grafana-7994c77c7-8nk7j                       3/3     Running   12 (5h28m ago)   5d
+prometheus-kube-prometheus-operator-5576477887-dgp8h     1/1     Running   4 (5h28m ago)    5d
+prometheus-kube-state-metrics-77885ddddc-hldlw           1/1     Running   4 (5h28m ago)    4d23h
+prometheus-prometheus-kube-prometheus-prometheus-0       2/2     Running   0                4h11m
+prometheus-prometheus-node-exporter-2tl9s                1/1     Running   4 (5h28m ago)    4d23h
+prometheus-prometheus-node-exporter-b58rd                1/1     Running   4 (5h28m ago)    4d23h
+prometheus-prometheus-node-exporter-fqp6v                1/1     Running   4 (5h28m ago)    4d23h
+```
+
+## Step 2: Configure Prometheus to Scrape Doris Metrics
+
+<!-- Knowledge type: Configuration parameters -->
+<!-- Use cases: enable Prometheus to auto-discover and scrape metrics exposed by Doris FE/BE/Meta Service -->
+
+Create a `ServiceMonitor` so that Prometheus Operator auto-discovers Doris Services in the `default` namespace that carry the label `app.doris.disaggregated.cluster=test-disaggregated-cluster`, and scrapes their metrics grouped by the three component types: FE, BE, and Meta Service.
+
+### 2.1 Prepare the ServiceMonitor YAML
+
+Purpose: Declare the scrape targets, endpoint paths, and scrape interval, and use `relabelings` to assign a unified `group` label to each service by role for dashboard filtering.
+
+```yaml
+apiVersion: monitoring.coreos.com/v1
+kind: ServiceMonitor
+metadata:
+  name: doris-disaggregated-monitor
+  namespace: monitoring
+  labels:
+    release: prometheus
+spec:
+  namespaceSelector:
+    matchNames:
+    - default
+  selector:
+    matchLabels:
+      app.doris.disaggregated.cluster: test-disaggregated-cluster
+  endpoints:
+  - port: http
+    path: /metrics
+    interval: 15s
+    relabelings:
+    # 1. Unify the job name
+    - action: replace
+      targetLabel: job
+      replacement: doris-cluster
+    # 2. Map Service name suffix to component group: -cg1 -> be, -fe -> fe, -ms -> meta_service
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-cg1
+      replacement: be
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-fe
+      replacement: fe
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-ms
+      replacement: meta_service
+      targetLabel: group
+
+  - port: brpc-port
+    path: /brpc_metrics
+    interval: 15s
+    relabelings:
+    # 1. Unify the job name
+    - action: replace
+      targetLabel: job
+      replacement: doris-cluster
+    # 2. Map Service name suffix to component group: -cg1 -> be, -fe -> fe, -ms -> meta_service
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-cg1
+      replacement: be
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-fe
+      replacement: fe
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-ms
+      replacement: meta_service
+      targetLabel: group
+```
+
+### 2.2 Key Fields of the ServiceMonitor
+
+| Field | Value | Description |
+|------|------|------|
+| `metadata.namespace` | `monitoring` | The ServiceMonitor must reside in the same namespace as the Prometheus instance. |
+| `metadata.labels.release` | `prometheus` | Must match the Helm Release name. Prometheus Operator uses this label to discover ServiceMonitors. |
+| `spec.namespaceSelector.matchNames` | `default` | The namespace where the Doris cluster runs. Adjust to match your environment. |
+| `spec.selector.matchLabels` | `app.doris.disaggregated.cluster: test-disaggregated-cluster` | Selects the Service of the Doris compute-storage decoupled cluster. Update the cluster name as needed. |
+| `endpoints[0].port` | `http` | The HTTP port name on which FE, BE, and Meta Service expose `/metrics`. |
+| `endpoints[1].port` | `brpc-port` | The bRPC port name on which BE exposes `/brpc_metrics`. |
+| `endpoints[*].interval` | `15s` | Scrape interval. Adjust based on data volume and precision requirements. |
+| The `group` label in `relabelings` | `be` / `fe` / `meta_service` | Divides metrics into three component categories by Service name suffix, for dashboard variable filtering. |
+
+### 2.3 Apply the YAML and Verify
+
+Purpose: Let Prometheus Operator detect the new `ServiceMonitor` and refresh its scrape targets.
+
+```shell
+kubectl apply -f doris-monitor.yaml
+```
+
+In a browser, open Prometheus (default port `9090`, for example `http://your_ip:9090`), navigate to **Status → Targets**, and confirm that the FE, BE, and Meta Service targets under `doris-cluster` are all in the `UP` state.
+
+## Step 3: Configure Grafana and the Dashboard
+
+<!-- Knowledge type: Procedure -->
+<!-- Use cases: visualize Doris cluster and node metrics through Grafana -->
+
+### 3.1 Log In to Grafana
+
+Purpose: Access the Grafana bundled with `kube-prometheus-stack` and complete the first login.
+
+1. In a browser, open Grafana (default port `3000`, for example `http://your_ip:3000`).
+2. The username is `admin`. Retrieve the initial password with the following command:
+
+    ```shell
+    kubectl get secret --namespace monitoring prometheus-grafana -o jsonpath="{.data.admin-password}" | base64 --decode ; echo
+    ```
+
+### 3.2 Import the Doris Dashboard
+
+Purpose: Use the official Dashboard JSON file to visualize Doris cluster metrics.
+
+1. Download the official Dashboard file: [Doris-Dashboard-Cloud.json](https://doris.apache.org/files/doris-grafana-dashboard-cloud.json)
+2. In Grafana, go to **Dashboards → New → Import**, import the JSON file, and select the bundled Prometheus as the data source.
+3. Append `&var-cluster_id=doris-cluster` to the dashboard URL to match the `job` name set in the ServiceMonitor. For example:
+
+    ```text
+    http://your_ip:3000/d/3fFiWJ4mz456/doris-cloud-dashboard-overview?orgId=1&var-cluster_id=doris-cluster&refresh=5s
+    ```
+
+### 3.3 Add Node Monitoring (Optional)
+
+Purpose: The example JSON file does not include a host node monitoring panel. Use the official Grafana template `1860` to display `node-exporter` metrics directly.
+
+1. In Grafana, import a dashboard:
+
+    ![image-for-grafana-import-dashboard](/images/next/install/image-for-grafana-import-dashboard.png)
+
+2. Select the official template number `1860`:
+
+    ![image-for-grafana-demo-1860](/images/next/install/image-for-grafana-demo-1860.png)
+
+3. After the import completes, you can view the node metrics:
+
+    ![image-for-node-metrics](/images/next/install/image-for-node-metrics.png)
+
+## Common Issues
+
+<!-- Knowledge type: Troubleshooting -->
+
+| Issue | Possible cause | Resolution |
+|------|----------|----------|
+| Doris targets do not appear under Prometheus **Targets** | The `namespaceSelector` or `matchLabels` of the ServiceMonitor does not match the actual Doris cluster; the `release` label does not match the Helm Release name. | Verify the cluster namespace, the Service label `app.doris.disaggregated.cluster`, and confirm that the `release` label on the `ServiceMonitor` is set to `prometheus`. |
+| Targets are listed but show `DOWN` | The Pod is not ready, or the `http` / `brpc-port` port name does not match the port name that is actually exposed. | Use `kubectl get svc -n default` and `kubectl describe pod` to confirm the port names, the readiness state, and that `/metrics` and `/brpc_metrics` are accessible inside the container. |
+| Grafana dashboard panels are empty | The URL is missing `var-cluster_id=doris-cluster`, or the `job` name in the ServiceMonitor has been changed. | Check that the `var-cluster_id` in the dashboard URL and the `job` label in the `ServiceMonitor` are both set to `doris-cluster`. |
+| Cannot access Prometheus on port 9090 or Grafana on port 3000 | The Service type defaults to `ClusterIP`, which is not reachable from outside the cluster. | Forward the port with `kubectl port-forward`, or change the corresponding Service type to `NodePort` or `LoadBalancer`. |
+| The command to retrieve the Grafana password returns `NotFound` | The Helm Release is not named `prometheus`, so the Secret name differs. | Use `kubectl get secret -n monitoring` to find the actual Grafana Secret name, then substitute it for `prometheus-grafana` in the command. |
diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs-next/current/install/deploy-on-kubernetes/intro.mdx b/i18n/zh-CN/docusaurus-plugin-content-docs-next/current/install/deploy-on-kubernetes/intro.mdx
index 967e95f19a7a3..34524e7128492 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-docs-next/current/install/deploy-on-kubernetes/intro.mdx
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs-next/current/install/deploy-on-kubernetes/intro.mdx
@@ -30,4 +30,10 @@ Apache Doris 在 Kubernetes 上由 Doris Operator 管理。请根据您要部署
     description="在 Kubernetes 上以存算分离模式部署 Doris 集群"
     link="separating-storage-compute/install-doris-cluster"
 />
+
+<GettingStartedCard
+    title="部署 Prometheus 与 Grafana"
+    description="在 Kubernetes 上通过 Helm 部署 Prometheus 与 Grafana，为存算分离 Doris 集群采集与可视化监控指标"
+    link="separating-storage-compute/install-prometheus-and-grafana"
+/>
 </div>
diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs-next/current/install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana.md b/i18n/zh-CN/docusaurus-plugin-content-docs-next/current/install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana.md
new file mode 100644
index 0000000000000..63c341d7192d7
--- /dev/null
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs-next/current/install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana.md
@@ -0,0 +1,241 @@
+---
+{
+    "title": "部署 Prometheus 和 Grafana",
+    "language": "zh-CN",
+    "description": "在 Kubernetes 上使用 Helm 部署 Prometheus 与 Grafana，采集并可视化 Doris 存算分离集群指标。",
+    "keywords": ["Doris", "存算分离", "compute-storage decoupled", "Kubernetes", "K8s", "Prometheus", "Grafana", "Helm", "ServiceMonitor", "metric", "指标采集", "集群监控", "监控部署", "Dashboard", "kube-prometheus-stack"]
+}
+---
+
+<!-- 知识类型: 操作步骤 -->
+<!-- 适用场景: Doris 存算分离集群上线前的监控部署、日常运维监控接入 -->
+
+本文介绍如何在 Kubernetes 上使用 Helm 部署 Prometheus 和 Grafana，并将其接入 Apache Doris 存算分离集群，实现指标采集、可视化与告警。Prometheus 负责拉取 FE/BE/Meta Service 暴露的 HTTP 与 bRPC 指标，Grafana 负责通过 Dashboard 呈现集群状态。
+
+## 适用场景
+
+| 场景 | 说明 |
+|------|------|
+| 新集群上线 | 在 Doris 存算分离集群投入使用前完成监控接入，确保异常可被及时发现 |
+| 日常运维 | 持续观察 FE/BE/Meta Service 的关键指标与节点资源使用情况 |
+| 故障排查 | 通过历史指标、Dashboard 视图与告警快速定位性能或可用性问题 |
+| 容量规划 | 基于节点与组件指标趋势评估扩容时机 |
+
+## 前置条件
+
+- 已具备一个可用的 Kubernetes 集群，并已配置好 `kubectl`。
+- 已经使用 Doris Operator 在 `default` 命名空间部署了一个存算分离集群（FE、BE/Compute Group、Meta Service 三类组件已就绪）。
+- 节点能够访问公网，可下载 Helm 安装脚本、Prometheus Community Charts 与 Grafana Dashboard JSON 文件。
+- 具备在 Kubernetes 中创建命名空间、Helm Release、ServiceMonitor 等资源的权限。
+
+## 部署流程总览
+
+1. 安装 Helm，并通过 `kube-prometheus-stack` 一键部署 Prometheus、Grafana、Alertmanager。
+2. 配置 Prometheus `ServiceMonitor`，让其能自动发现并采集 Doris 集群的 HTTP 与 bRPC 指标。
+3. 登录 Grafana，导入 Doris 官方 Dashboard，并按需补充节点监控面板。
+
+## 第 1 步：部署 Helm、Prometheus 与 Grafana
+
+<!-- 知识类型: 操作步骤 -->
+
+### 1.1 安装 Helm
+
+目的：在本地或运维节点安装 Helm 3，用于安装与管理 Kubernetes 上的监控组件。
+
+```shell
+curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash
+```
+
+### 1.2 添加 Prometheus Community Helm 仓库
+
+目的：注册 `kube-prometheus-stack` Chart 所在的仓库，并刷新本地缓存。
+
+```shell
+helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
+helm repo update
+```
+
+### 1.3 部署 kube-prometheus-stack
+
+目的：在独立的 `monitoring` 命名空间中部署 Prometheus、Grafana、Alertmanager 及相关 Operator。
+
+```shell
+# 创建命名空间
+kubectl create namespace monitoring
+
+# 部署 kube-prometheus-stack
+helm install prometheus prometheus-community/kube-prometheus-stack -n monitoring
+```
+
+### 1.4 检查 Pod 状态
+
+目的：确认监控栈中的全部 Pod 处于 `Running` 状态后再进入下一步。
+
+```shell
+kubectl get pods -n monitoring
+```
+
+正常输出示例如下：
+
+```text
+NAME                                                     READY   STATUS    RESTARTS         AGE
+alertmanager-prometheus-kube-prometheus-alertmanager-0   2/2     Running   8 (5h28m ago)    4d23h
+prometheus-grafana-7994c77c7-8nk7j                       3/3     Running   12 (5h28m ago)   5d
+prometheus-kube-prometheus-operator-5576477887-dgp8h     1/1     Running   4 (5h28m ago)    5d
+prometheus-kube-state-metrics-77885ddddc-hldlw           1/1     Running   4 (5h28m ago)    4d23h
+prometheus-prometheus-kube-prometheus-prometheus-0       2/2     Running   0                4h11m
+prometheus-prometheus-node-exporter-2tl9s                1/1     Running   4 (5h28m ago)    4d23h
+prometheus-prometheus-node-exporter-b58rd                1/1     Running   4 (5h28m ago)    4d23h
+prometheus-prometheus-node-exporter-fqp6v                1/1     Running   4 (5h28m ago)    4d23h
+```
+
+## 第 2 步：配置 Prometheus 采集 Doris 指标
+
+<!-- 知识类型: 配置参数 -->
+<!-- 适用场景: 让 Prometheus 自动发现并采集 Doris FE/BE/Meta Service 暴露的指标 -->
+
+通过创建 `ServiceMonitor`，让 Prometheus Operator 自动发现位于 `default` 命名空间下、带有 `app.doris.disaggregated.cluster=test-disaggregated-cluster` 标签的 Doris Service，并按 FE、BE、Meta Service 三类分组采集指标。
+
+### 2.1 准备 ServiceMonitor YAML
+
+目的：声明采集目标、端点路径、采集周期，并通过 `relabelings` 将服务按角色打上统一的 `group` 标签，便于在 Dashboard 中过滤。
+
+```yaml
+apiVersion: monitoring.coreos.com/v1
+kind: ServiceMonitor
+metadata:
+  name: doris-disaggregated-monitor
+  namespace: monitoring
+  labels:
+    release: prometheus
+spec:
+  namespaceSelector:
+    matchNames:
+    - default
+  selector:
+    matchLabels:
+      app.doris.disaggregated.cluster: test-disaggregated-cluster
+  endpoints:
+  - port: http
+    path: /metrics
+    interval: 15s
+    relabelings:
+    # 1. 统一 job 名称
+    - action: replace
+      targetLabel: job
+      replacement: doris-cluster
+    # 2. 按 Service 名称后缀映射到组件分组：-cg1 -> be, -fe -> fe, -ms -> meta_service
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-cg1
+      replacement: be
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-fe
+      replacement: fe
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-ms
+      replacement: meta_service
+      targetLabel: group
+
+  - port: brpc-port
+    path: /brpc_metrics
+    interval: 15s
+    relabelings:
+    # 1. 统一 job 名称
+    - action: replace
+      targetLabel: job
+      replacement: doris-cluster
+    # 2. 按 Service 名称后缀映射到组件分组：-cg1 -> be, -fe -> fe, -ms -> meta_service
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-cg1
+      replacement: be
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-fe
+      replacement: fe
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-ms
+      replacement: meta_service
+      targetLabel: group
+```
+
+### 2.2 ServiceMonitor 关键字段说明
+
+| 字段 | 取值 | 说明 |
+|------|------|------|
+| `metadata.namespace` | `monitoring` | ServiceMonitor 必须与 Prometheus 实例位于同一命名空间 |
+| `metadata.labels.release` | `prometheus` | 与 Helm Release 名称保持一致，Prometheus Operator 据此发现 ServiceMonitor |
+| `spec.namespaceSelector.matchNames` | `default` | Doris 集群所在的命名空间，按实际情况调整 |
+| `spec.selector.matchLabels` | `app.doris.disaggregated.cluster: test-disaggregated-cluster` | 用于选中 Doris 存算分离集群的 Service，集群名按实际情况修改 |
+| `endpoints[0].port` | `http` | FE/BE/Meta Service 暴露 `/metrics` 的 HTTP 端口名 |
+| `endpoints[1].port` | `brpc-port` | BE 暴露 `/brpc_metrics` 的 bRPC 端口名 |
+| `endpoints[*].interval` | `15s` | 抓取间隔，可按数据量与精度需求调整 |
+| `relabelings` 的 `group` 标签 | `be` / `fe` / `meta_service` | 通过 Service 名称后缀将指标划分到三类组件，用于 Dashboard 变量过滤 |
+
+### 2.3 应用 YAML 并验证
+
+目的：让 Prometheus Operator 检测到新的 `ServiceMonitor` 并刷新采集目标。
+
+```shell
+kubectl apply -f doris-monitor.yaml
+```
+
+在浏览器中访问 Prometheus（默认端口 `9090`，例如 `http://your_ip:9090`），打开 **Status → Targets**，确认 `doris-cluster` 下的 FE、BE、Meta Service 目标均处于 `UP` 状态。
+
+## 第 3 步：配置 Grafana 与 Dashboard
+
+<!-- 知识类型: 操作步骤 -->
+<!-- 适用场景: 通过 Grafana 可视化 Doris 集群与节点指标 -->
+
+### 3.1 登录 Grafana
+
+目的：访问 `kube-prometheus-stack` 自带的 Grafana，并完成首次登录。
+
+1. 在浏览器中访问 Grafana（默认端口 `3000`，例如 `http://your_ip:3000`）。
+2. 用户名为 `admin`，通过以下命令获取初始密码：
+
+    ```shell
+    kubectl get secret --namespace monitoring prometheus-grafana -o jsonpath="{.data.admin-password}" | base64 --decode ; echo
+    ```
+
+### 3.2 导入 Doris Dashboard
+
+目的：使用官方提供的 Dashboard JSON 文件可视化 Doris 集群指标。
+
+1. 下载官方 Dashboard 文件：[Doris-Dashboard-Cloud.json](https://doris.apache.org/files/doris-grafana-dashboard-cloud.json)
+2. 在 Grafana 中通过 **Dashboards → New → Import** 导入该 JSON 文件，并将数据源选择为已自带的 Prometheus。
+3. 在 Dashboard URL 后追加 `&var-cluster_id=doris-cluster` 以匹配 ServiceMonitor 中设置的 `job` 名称，例如：
+
+    ```text
+    http://your_ip:3000/d/3fFiWJ4mz456/doris-cloud-dashboard-overview?orgId=1&var-cluster_id=doris-cluster&refresh=5s
+    ```
+
+### 3.3 补充节点监控（可选）
+
+目的：示例 JSON 文件未包含主机节点监控面板，可使用 Grafana 官方模板 `1860` 直接呈现 `node-exporter` 指标。
+
+1. 在 Grafana 中导入 Dashboard：
+
+    ![image-for-grafana-import-dashboard](/images/next/install/image-for-grafana-import-dashboard.png)
+
+2. 选择官方模板编号 `1860`：
+
+    ![image-for-grafana-demo-1860](/images/next/install/image-for-grafana-demo-1860.png)
+
+3. 导入完成后即可查看节点指标：
+
+    ![image-for-node-metrics](/images/next/install/image-for-node-metrics.png)
+
+## 常见问题
+
+<!-- 知识类型: 故障排查 -->
+
+| 问题 | 可能原因 | 处理方式 |
+|------|----------|----------|
+| Prometheus **Targets** 中看不到 Doris 目标 | ServiceMonitor 的 `namespaceSelector` 或 `matchLabels` 未匹配实际 Doris 集群；`release` 标签与 Helm Release 名称不一致 | 核对集群所在命名空间、Service 标签 `app.doris.disaggregated.cluster`，以及 `ServiceMonitor` 的 `release` 标签是否为 `prometheus` |
+| Targets 显示但状态为 `DOWN` | Pod 未就绪，或 `http` / `brpc-port` 端口与实际暴露的端口名不一致 | 使用 `kubectl get svc -n default` 与 `kubectl describe pod` 确认端口名称、就绪状态及容器内 `/metrics`、`/brpc_metrics` 可访问 |
+| Grafana Dashboard 面板为空 | URL 中未带 `var-cluster_id=doris-cluster`，或 ServiceMonitor 的 `job` 名称被改动 | 检查 Dashboard URL 的 `var-cluster_id` 与 `ServiceMonitor` 中 `job` 标签是否同为 `doris-cluster` |
+| 无法访问 Prometheus 的 9090 或 Grafana 的 3000 | Service 默认类型为 `ClusterIP`，外部不可达 | 通过 `kubectl port-forward` 转发，或将对应 Service 改为 `NodePort` / `LoadBalancer` |
+| 获取 Grafana 密码命令报 `NotFound` | Helm Release 名称不是 `prometheus`，导致 Secret 名称不同 | 使用 `kubectl get secret -n monitoring` 查看实际的 Grafana Secret 名称，再替换命令中的 `prometheus-grafana` |
diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana.md b/i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana.md
new file mode 100644
index 0000000000000..63c341d7192d7
--- /dev/null
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana.md
@@ -0,0 +1,241 @@
+---
+{
+    "title": "部署 Prometheus 和 Grafana",
+    "language": "zh-CN",
+    "description": "在 Kubernetes 上使用 Helm 部署 Prometheus 与 Grafana，采集并可视化 Doris 存算分离集群指标。",
+    "keywords": ["Doris", "存算分离", "compute-storage decoupled", "Kubernetes", "K8s", "Prometheus", "Grafana", "Helm", "ServiceMonitor", "metric", "指标采集", "集群监控", "监控部署", "Dashboard", "kube-prometheus-stack"]
+}
+---
+
+<!-- 知识类型: 操作步骤 -->
+<!-- 适用场景: Doris 存算分离集群上线前的监控部署、日常运维监控接入 -->
+
+本文介绍如何在 Kubernetes 上使用 Helm 部署 Prometheus 和 Grafana，并将其接入 Apache Doris 存算分离集群，实现指标采集、可视化与告警。Prometheus 负责拉取 FE/BE/Meta Service 暴露的 HTTP 与 bRPC 指标，Grafana 负责通过 Dashboard 呈现集群状态。
+
+## 适用场景
+
+| 场景 | 说明 |
+|------|------|
+| 新集群上线 | 在 Doris 存算分离集群投入使用前完成监控接入，确保异常可被及时发现 |
+| 日常运维 | 持续观察 FE/BE/Meta Service 的关键指标与节点资源使用情况 |
+| 故障排查 | 通过历史指标、Dashboard 视图与告警快速定位性能或可用性问题 |
+| 容量规划 | 基于节点与组件指标趋势评估扩容时机 |
+
+## 前置条件
+
+- 已具备一个可用的 Kubernetes 集群，并已配置好 `kubectl`。
+- 已经使用 Doris Operator 在 `default` 命名空间部署了一个存算分离集群（FE、BE/Compute Group、Meta Service 三类组件已就绪）。
+- 节点能够访问公网，可下载 Helm 安装脚本、Prometheus Community Charts 与 Grafana Dashboard JSON 文件。
+- 具备在 Kubernetes 中创建命名空间、Helm Release、ServiceMonitor 等资源的权限。
+
+## 部署流程总览
+
+1. 安装 Helm，并通过 `kube-prometheus-stack` 一键部署 Prometheus、Grafana、Alertmanager。
+2. 配置 Prometheus `ServiceMonitor`，让其能自动发现并采集 Doris 集群的 HTTP 与 bRPC 指标。
+3. 登录 Grafana，导入 Doris 官方 Dashboard，并按需补充节点监控面板。
+
+## 第 1 步：部署 Helm、Prometheus 与 Grafana
+
+<!-- 知识类型: 操作步骤 -->
+
+### 1.1 安装 Helm
+
+目的：在本地或运维节点安装 Helm 3，用于安装与管理 Kubernetes 上的监控组件。
+
+```shell
+curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash
+```
+
+### 1.2 添加 Prometheus Community Helm 仓库
+
+目的：注册 `kube-prometheus-stack` Chart 所在的仓库，并刷新本地缓存。
+
+```shell
+helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
+helm repo update
+```
+
+### 1.3 部署 kube-prometheus-stack
+
+目的：在独立的 `monitoring` 命名空间中部署 Prometheus、Grafana、Alertmanager 及相关 Operator。
+
+```shell
+# 创建命名空间
+kubectl create namespace monitoring
+
+# 部署 kube-prometheus-stack
+helm install prometheus prometheus-community/kube-prometheus-stack -n monitoring
+```
+
+### 1.4 检查 Pod 状态
+
+目的：确认监控栈中的全部 Pod 处于 `Running` 状态后再进入下一步。
+
+```shell
+kubectl get pods -n monitoring
+```
+
+正常输出示例如下：
+
+```text
+NAME                                                     READY   STATUS    RESTARTS         AGE
+alertmanager-prometheus-kube-prometheus-alertmanager-0   2/2     Running   8 (5h28m ago)    4d23h
+prometheus-grafana-7994c77c7-8nk7j                       3/3     Running   12 (5h28m ago)   5d
+prometheus-kube-prometheus-operator-5576477887-dgp8h     1/1     Running   4 (5h28m ago)    5d
+prometheus-kube-state-metrics-77885ddddc-hldlw           1/1     Running   4 (5h28m ago)    4d23h
+prometheus-prometheus-kube-prometheus-prometheus-0       2/2     Running   0                4h11m
+prometheus-prometheus-node-exporter-2tl9s                1/1     Running   4 (5h28m ago)    4d23h
+prometheus-prometheus-node-exporter-b58rd                1/1     Running   4 (5h28m ago)    4d23h
+prometheus-prometheus-node-exporter-fqp6v                1/1     Running   4 (5h28m ago)    4d23h
+```
+
+## 第 2 步：配置 Prometheus 采集 Doris 指标
+
+<!-- 知识类型: 配置参数 -->
+<!-- 适用场景: 让 Prometheus 自动发现并采集 Doris FE/BE/Meta Service 暴露的指标 -->
+
+通过创建 `ServiceMonitor`，让 Prometheus Operator 自动发现位于 `default` 命名空间下、带有 `app.doris.disaggregated.cluster=test-disaggregated-cluster` 标签的 Doris Service，并按 FE、BE、Meta Service 三类分组采集指标。
+
+### 2.1 准备 ServiceMonitor YAML
+
+目的：声明采集目标、端点路径、采集周期，并通过 `relabelings` 将服务按角色打上统一的 `group` 标签，便于在 Dashboard 中过滤。
+
+```yaml
+apiVersion: monitoring.coreos.com/v1
+kind: ServiceMonitor
+metadata:
+  name: doris-disaggregated-monitor
+  namespace: monitoring
+  labels:
+    release: prometheus
+spec:
+  namespaceSelector:
+    matchNames:
+    - default
+  selector:
+    matchLabels:
+      app.doris.disaggregated.cluster: test-disaggregated-cluster
+  endpoints:
+  - port: http
+    path: /metrics
+    interval: 15s
+    relabelings:
+    # 1. 统一 job 名称
+    - action: replace
+      targetLabel: job
+      replacement: doris-cluster
+    # 2. 按 Service 名称后缀映射到组件分组：-cg1 -> be, -fe -> fe, -ms -> meta_service
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-cg1
+      replacement: be
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-fe
+      replacement: fe
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-ms
+      replacement: meta_service
+      targetLabel: group
+
+  - port: brpc-port
+    path: /brpc_metrics
+    interval: 15s
+    relabelings:
+    # 1. 统一 job 名称
+    - action: replace
+      targetLabel: job
+      replacement: doris-cluster
+    # 2. 按 Service 名称后缀映射到组件分组：-cg1 -> be, -fe -> fe, -ms -> meta_service
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-cg1
+      replacement: be
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-fe
+      replacement: fe
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-ms
+      replacement: meta_service
+      targetLabel: group
+```
+
+### 2.2 ServiceMonitor 关键字段说明
+
+| 字段 | 取值 | 说明 |
+|------|------|------|
+| `metadata.namespace` | `monitoring` | ServiceMonitor 必须与 Prometheus 实例位于同一命名空间 |
+| `metadata.labels.release` | `prometheus` | 与 Helm Release 名称保持一致，Prometheus Operator 据此发现 ServiceMonitor |
+| `spec.namespaceSelector.matchNames` | `default` | Doris 集群所在的命名空间，按实际情况调整 |
+| `spec.selector.matchLabels` | `app.doris.disaggregated.cluster: test-disaggregated-cluster` | 用于选中 Doris 存算分离集群的 Service，集群名按实际情况修改 |
+| `endpoints[0].port` | `http` | FE/BE/Meta Service 暴露 `/metrics` 的 HTTP 端口名 |
+| `endpoints[1].port` | `brpc-port` | BE 暴露 `/brpc_metrics` 的 bRPC 端口名 |
+| `endpoints[*].interval` | `15s` | 抓取间隔，可按数据量与精度需求调整 |
+| `relabelings` 的 `group` 标签 | `be` / `fe` / `meta_service` | 通过 Service 名称后缀将指标划分到三类组件，用于 Dashboard 变量过滤 |
+
+### 2.3 应用 YAML 并验证
+
+目的：让 Prometheus Operator 检测到新的 `ServiceMonitor` 并刷新采集目标。
+
+```shell
+kubectl apply -f doris-monitor.yaml
+```
+
+在浏览器中访问 Prometheus（默认端口 `9090`，例如 `http://your_ip:9090`），打开 **Status → Targets**，确认 `doris-cluster` 下的 FE、BE、Meta Service 目标均处于 `UP` 状态。
+
+## 第 3 步：配置 Grafana 与 Dashboard
+
+<!-- 知识类型: 操作步骤 -->
+<!-- 适用场景: 通过 Grafana 可视化 Doris 集群与节点指标 -->
+
+### 3.1 登录 Grafana
+
+目的：访问 `kube-prometheus-stack` 自带的 Grafana，并完成首次登录。
+
+1. 在浏览器中访问 Grafana（默认端口 `3000`，例如 `http://your_ip:3000`）。
+2. 用户名为 `admin`，通过以下命令获取初始密码：
+
+    ```shell
+    kubectl get secret --namespace monitoring prometheus-grafana -o jsonpath="{.data.admin-password}" | base64 --decode ; echo
+    ```
+
+### 3.2 导入 Doris Dashboard
+
+目的：使用官方提供的 Dashboard JSON 文件可视化 Doris 集群指标。
+
+1. 下载官方 Dashboard 文件：[Doris-Dashboard-Cloud.json](https://doris.apache.org/files/doris-grafana-dashboard-cloud.json)
+2. 在 Grafana 中通过 **Dashboards → New → Import** 导入该 JSON 文件，并将数据源选择为已自带的 Prometheus。
+3. 在 Dashboard URL 后追加 `&var-cluster_id=doris-cluster` 以匹配 ServiceMonitor 中设置的 `job` 名称，例如：
+
+    ```text
+    http://your_ip:3000/d/3fFiWJ4mz456/doris-cloud-dashboard-overview?orgId=1&var-cluster_id=doris-cluster&refresh=5s
+    ```
+
+### 3.3 补充节点监控（可选）
+
+目的：示例 JSON 文件未包含主机节点监控面板，可使用 Grafana 官方模板 `1860` 直接呈现 `node-exporter` 指标。
+
+1. 在 Grafana 中导入 Dashboard：
+
+    ![image-for-grafana-import-dashboard](/images/next/install/image-for-grafana-import-dashboard.png)
+
+2. 选择官方模板编号 `1860`：
+
+    ![image-for-grafana-demo-1860](/images/next/install/image-for-grafana-demo-1860.png)
+
+3. 导入完成后即可查看节点指标：
+
+    ![image-for-node-metrics](/images/next/install/image-for-node-metrics.png)
+
+## 常见问题
+
+<!-- 知识类型: 故障排查 -->
+
+| 问题 | 可能原因 | 处理方式 |
+|------|----------|----------|
+| Prometheus **Targets** 中看不到 Doris 目标 | ServiceMonitor 的 `namespaceSelector` 或 `matchLabels` 未匹配实际 Doris 集群；`release` 标签与 Helm Release 名称不一致 | 核对集群所在命名空间、Service 标签 `app.doris.disaggregated.cluster`，以及 `ServiceMonitor` 的 `release` 标签是否为 `prometheus` |
+| Targets 显示但状态为 `DOWN` | Pod 未就绪，或 `http` / `brpc-port` 端口与实际暴露的端口名不一致 | 使用 `kubectl get svc -n default` 与 `kubectl describe pod` 确认端口名称、就绪状态及容器内 `/metrics`、`/brpc_metrics` 可访问 |
+| Grafana Dashboard 面板为空 | URL 中未带 `var-cluster_id=doris-cluster`，或 ServiceMonitor 的 `job` 名称被改动 | 检查 Dashboard URL 的 `var-cluster_id` 与 `ServiceMonitor` 中 `job` 标签是否同为 `doris-cluster` |
+| 无法访问 Prometheus 的 9090 或 Grafana 的 3000 | Service 默认类型为 `ClusterIP`，外部不可达 | 通过 `kubectl port-forward` 转发，或将对应 Service 改为 `NodePort` / `LoadBalancer` |
+| 获取 Grafana 密码命令报 `NotFound` | Helm Release 名称不是 `prometheus`，导致 Secret 名称不同 | 使用 `kubectl get secret -n monitoring` 查看实际的 Grafana Secret 名称，再替换命令中的 `prometheus-grafana` |
diff --git a/sidebars-next.ts b/sidebars-next.ts
index 83be1f3840a1b..e9434173083a0 100644
--- a/sidebars-next.ts
+++ b/sidebars-next.ts
@@ -89,6 +89,7 @@ const sidebars: SidebarsConfig = {
                                 'install/deploy-on-kubernetes/separating-storage-compute/config-fe',
                                 'install/deploy-on-kubernetes/separating-storage-compute/config-cg',
                                 'install/deploy-on-kubernetes/separating-storage-compute/config-cluster',
+                                'install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana',
                             ],
                         },
                     ],
diff --git a/static/files/doris-grafana-dashboard-cloud.json b/static/files/doris-grafana-dashboard-cloud.json
new file mode 100644
index 0000000000000..74f4f20b73b65
--- /dev/null
+++ b/static/files/doris-grafana-dashboard-cloud.json
@@ -0,0 +1,15065 @@
+{
+  "annotations": {
+    "list": [
+      {
+        "builtIn": 1,
+        "datasource": {
+          "type": "datasource"
+        },
+        "enable": true,
+        "hide": true,
+        "iconColor": "rgba(0, 211, 255, 1)",
+        "name": "Annotations & Alerts",
+        "target": {
+          "limit": 100,
+          "matchAny": false,
+          "tags": [],
+          "type": "dashboard"
+        },
+        "type": "dashboard"
+      }
+    ]
+  },
+  "description": "Dashboard for Doris Cloud",
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "gnetId": 9734,
+  "graphTooltip": 0,
+  "id": 1,
+  "links": [],
+  "liveNow": true,
+  "panels": [
+    {
+      "collapsed": false,
+      "datasource": {
+        "type": "prometheus",
+        "uid": ""
+      },
+      "gridPos": {
+        "h": 1,
+        "w": 24,
+        "x": 0,
+        "y": 0
+      },
+      "id": 46,
+      "panels": [],
+      "repeat": "cluster_name",
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus"
+          },
+          "refId": "A"
+        }
+      ],
+      "title": "Cluster Overview",
+      "type": "row"
+    },
+    {
+      "datasource": {
+        "type": "prometheus",
+        "uid": ""
+      },
+      "description": "Total Frontends node number",
+      "fieldConfig": {
+        "defaults": {
+          "color": {
+            "mode": "thresholds"
+          },
+          "mappings": [
+            {
+              "options": {
+                "match": "null",
+                "result": {
+                  "text": "N/A"
+                }
+              },
+              "type": "special"
+            }
+          ],
+          "thresholds": {
+            "mode": "absolute",
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "red",
+                "value": 80
+              }
+            ]
+          },
+          "unit": "none"
+        },
+        "overrides": []
+      },
+      "gridPos": {
+        "h": 4,
+        "w": 6,
+        "x": 0,
+        "y": 1
+      },
+      "id": 10,
+      "links": [],
+      "maxDataPoints": 100,
+      "options": {
+        "colorMode": "none",
+        "graphMode": "none",
+        "justifyMode": "auto",
+        "orientation": "horizontal",
+        "reduceOptions": {
+          "calcs": [
+            "mean"
+          ],
+          "fields": "",
+          "values": false
+        },
+        "textMode": "auto"
+      },
+      "pluginVersion": "9.5.21",
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus",
+            "uid": ""
+          },
+          "editorMode": "code",
+          "expr": "count(up{group=\"fe\", job=\"$cluster_id\"})",
+          "format": "time_series",
+          "instant": true,
+          "intervalFactor": 1,
+          "refId": "A"
+        }
+      ],
+      "title": "FE Node Number",
+      "type": "stat"
+    },
+    {
+      "datasource": {
+        "type": "prometheus",
+        "uid": ""
+      },
+      "description": "Total not alive number of Frontends.",
+      "fieldConfig": {
+        "defaults": {
+          "color": {
+            "mode": "thresholds"
+          },
+          "mappings": [
+            {
+              "options": {
+                "match": "null",
+                "result": {
+                  "text": "N/A"
+                }
+              },
+              "type": "special"
+            }
+          ],
+          "thresholds": {
+            "mode": "absolute",
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "red",
+                "value": 80
+              }
+            ]
+          },
+          "unit": "none"
+        },
+        "overrides": []
+      },
+      "gridPos": {
+        "h": 4,
+        "w": 5,
+        "x": 6,
+        "y": 1
+      },
+      "id": 12,
+      "links": [],
+      "maxDataPoints": 100,
+      "options": {
+        "colorMode": "none",
+        "graphMode": "none",
+        "justifyMode": "auto",
+        "orientation": "horizontal",
+        "reduceOptions": {
+          "calcs": [
+            "mean"
+          ],
+          "fields": "",
+          "values": false
+        },
+        "textMode": "auto"
+      },
+      "pluginVersion": "9.5.21",
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus",
+            "uid": ""
+          },
+          "editorMode": "code",
+          "exemplar": false,
+          "expr": "count(up{group=\"fe\", job=\"$cluster_id\"}) - sum(up{group=\"fe\", job=\"$cluster_id\"})",
+          "format": "time_series",
+          "hide": false,
+          "instant": true,
+          "intervalFactor": 2,
+          "legendFormat": "__auto",
+          "range": false,
+          "refId": "A"
+        }
+      ],
+      "title": "FE Not Alive Number",
+      "type": "stat"
+    },
+    {
+      "datasource": {
+        "type": "prometheus",
+        "uid": ""
+      },
+      "description": "Total Backends node number",
+      "fieldConfig": {
+        "defaults": {
+          "color": {
+            "mode": "thresholds"
+          },
+          "mappings": [
+            {
+              "options": {
+                "match": "null",
+                "result": {
+                  "text": "N/A"
+                }
+              },
+              "type": "special"
+            }
+          ],
+          "thresholds": {
+            "mode": "absolute",
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "red",
+                "value": 80
+              }
+            ]
+          },
+          "unit": "none"
+        },
+        "overrides": []
+      },
+      "gridPos": {
+        "h": 4,
+        "w": 6,
+        "x": 11,
+        "y": 1
+      },
+      "id": 11,
+      "links": [],
+      "maxDataPoints": 100,
+      "options": {
+        "colorMode": "none",
+        "graphMode": "none",
+        "justifyMode": "auto",
+        "orientation": "horizontal",
+        "reduceOptions": {
+          "calcs": [
+            "mean"
+          ],
+          "fields": "",
+          "values": false
+        },
+        "textMode": "auto"
+      },
+      "pluginVersion": "9.5.21",
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus",
+            "uid": ""
+          },
+          "editorMode": "code",
+          "expr": "count(up{group=\"be\", job=\"$cluster_id\"})",
+          "format": "time_series",
+          "instant": true,
+          "intervalFactor": 1,
+          "refId": "A"
+        }
+      ],
+      "title": "BE Node Number",
+      "type": "stat"
+    },
+    {
+      "datasource": {
+        "type": "prometheus",
+        "uid": ""
+      },
+      "description": "Total not alive number of Backends.",
+      "fieldConfig": {
+        "defaults": {
+          "color": {
+            "mode": "thresholds"
+          },
+          "mappings": [
+            {
+              "options": {
+                "match": "null",
+                "result": {
+                  "text": "N/A"
+                }
+              },
+              "type": "special"
+            }
+          ],
+          "thresholds": {
+            "mode": "absolute",
+            "steps": [
+              {
+                "color": "green",
+                "value": null
+              },
+              {
+                "color": "red",
+                "value": 80
+              }
+            ]
+          },
+          "unit": "none"
+        },
+        "overrides": []
+      },
+      "gridPos": {
+        "h": 4,
+        "w": 7,
+        "x": 17,
+        "y": 1
+      },
+      "id": 14,
+      "links": [],
+      "maxDataPoints": 100,
+      "options": {
+        "colorMode": "none",
+        "graphMode": "none",
+        "justifyMode": "auto",
+        "orientation": "horizontal",
+        "reduceOptions": {
+          "calcs": [
+            "mean"
+          ],
+          "fields": "",
+          "values": false
+        },
+        "textMode": "auto"
+      },
+      "pluginVersion": "9.5.21",
+      "targets": [
+        {
+          "datasource": {
+            "type": "prometheus",
+            "uid": ""
+          },
+          "editorMode": "code",
+          "expr": "count(up{group=\"be\", job=\"$cluster_id\"}) - sum(up{group=\"be\", job=\"$cluster_id\"})",
+          "format": "time_series",
+          "instant": true,
+          "intervalFactor": 1,
+          "refId": "A"
+        }
+      ],
+      "title": "BE Not Alive Number",
+      "type": "stat"
+    },
+    {
+      "datasource": {},
+      "description": "",
+      "fieldConfig": {
+        "defaults": {
+          "color": {
+            "mode": "thresholds"
+          },
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+              "refId": "A"
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+              "refId": "A"
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+              "legendFormat": "Total",
+              "range": true,
+              "refId": "B"
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+          "timeRegions": [],
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+            "w": 12,
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+              "alias": "Total",
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+              "intervalFactor": 2,
+              "legendFormat": "{{instance}}",
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+              "refId": "A"
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+              "legendFormat": "Total",
+              "range": true,
+              "refId": "B"
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+          "timeRegions": [],
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+            "sort": 0,
+            "value_type": "individual"
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+          "type": "graph",
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+          "dashes": false,
+          "datasource": {
+            "type": "prometheus",
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+          "gridPos": {
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+            "x": 0,
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+              "bars": false,
+              "color": "rgb(56, 255, 0)",
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+          "targets": [
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+                "uid": ""
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+              "refId": "B"
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+            "sort": 0,
+            "value_type": "individual"
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+              "refId": "B"
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+              "refId": "A"
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+          "timeRegions": [],
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+        "tagValuesQuery": "",
+        "tagsQuery": "",
+        "type": "query",
+        "useTags": false
+      },
+      {
+        "current": {
+          "selected": true,
+          "text": "all-node-exporter",
+          "value": "(cluster-node-exporter|fe-node-exporter|be-node-exporter)"
+        },
+        "hide": 0,
+        "includeAll": false,
+        "label": "",
+        "multi": false,
+        "name": "node_exporter_group",
+        "options": [
+          {
+            "selected": true,
+            "text": "all-node-exporter",
+            "value": "(cluster-node-exporter|fe-node-exporter|be-node-exporter)"
+          },
+          {
+            "selected": false,
+            "text": "fe-node-exporter",
+            "value": "(cluster-node-exporter|fe-node-exporter)"
+          },
+          {
+            "selected": false,
+            "text": "be-node-exporter",
+            "value": "(cluster-node-exporter|be-node-exporter)"
+          }
+        ],
+        "query": "(cluster-node-exporter|fe-node-exporter|be-node-exporter),(cluster-node-exporter|fe-node-exporter),(cluster-node-exporter|be-node-exporter)",
+        "queryValue": "",
+        "skipUrlSync": false,
+        "type": "custom"
+      }
+    ]
+  },
+  "time": {
+    "from": "now-5m",
+    "to": "now"
+  },
+  "timepicker": {
+    "refresh_intervals": [
+      "5s",
+      "10s",
+      "30s",
+      "1m",
+      "5m",
+      "15m",
+      "30m",
+      "1h",
+      "2h",
+      "1d"
+    ],
+    "time_options": [
+      "5m",
+      "15m",
+      "1h",
+      "6h",
+      "12h",
+      "24h",
+      "2d",
+      "7d",
+      "30d"
+    ]
+  },
+  "timezone": "",
+  "title": "Doris Cloud Dashboard Overview",
+  "uid": "3fFiWJ4mz456",
+  "version": 1,
+  "weekStart": ""
+}
\ No newline at end of file
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diff --git a/static/images/next/install/image-for-node-metrics.png b/static/images/next/install/image-for-node-metrics.png
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diff --git a/versioned_docs/version-4.x/install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana.md b/versioned_docs/version-4.x/install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana.md
new file mode 100644
index 0000000000000..0164217fc615e
--- /dev/null
+++ b/versioned_docs/version-4.x/install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana.md
@@ -0,0 +1,241 @@
+---
+{
+    "title": "Deploy Prometheus and Grafana",
+    "language": "en",
+    "description": "Deploy Prometheus and Grafana on Kubernetes with Helm to collect and visualize metrics for a Doris compute-storage decoupled cluster.",
+    "keywords": ["Doris", "decoupled storage and compute", "compute-storage decoupled", "Kubernetes", "K8s", "Prometheus", "Grafana", "Helm", "ServiceMonitor", "metric", "metric collection", "cluster monitoring", "monitoring deployment", "Dashboard", "kube-prometheus-stack"]
+}
+---
+
+<!-- Knowledge type: Procedure -->
+<!-- Use cases: monitoring deployment before a Doris compute-storage decoupled cluster goes live, monitoring onboarding for day-to-day operations -->
+
+This document describes how to deploy Prometheus and Grafana on Kubernetes with Helm and connect them to an Apache Doris compute-storage decoupled cluster for metric collection, visualization, and alerting. Prometheus scrapes the HTTP and bRPC metrics exposed by FE, BE, and Meta Service. Grafana presents the cluster status through dashboards.
+
+## Use Cases
+
+| Scenario | Description |
+|------|------|
+| New cluster onboarding | Set up monitoring before the Doris compute-storage decoupled cluster goes into production so anomalies can be detected in time. |
+| Day-to-day operations | Continuously observe the key metrics of FE, BE, and Meta Service, along with node resource usage. |
+| Troubleshooting | Use historical metrics, dashboard views, and alerts to quickly pinpoint performance or availability issues. |
+| Capacity planning | Evaluate when to scale out based on the trend of node and component metrics. |
+
+## Prerequisites
+
+- A usable Kubernetes cluster with `kubectl` already configured.
+- A compute-storage decoupled cluster already deployed in the `default` namespace through Doris Operator, with all three component types (FE, BE/Compute Group, Meta Service) ready.
+- Nodes have public network access and can download the Helm installation script, Prometheus Community Charts, and the Grafana Dashboard JSON file.
+- Permissions to create namespaces, Helm Releases, ServiceMonitors, and other resources in Kubernetes.
+
+## Deployment Overview
+
+1. Install Helm, and deploy Prometheus, Grafana, and Alertmanager in one step through `kube-prometheus-stack`.
+2. Configure a Prometheus `ServiceMonitor` so that Prometheus can auto-discover and scrape the HTTP and bRPC metrics of the Doris cluster.
+3. Log in to Grafana, import the official Doris dashboard, and add a node monitoring panel as needed.
+
+## Step 1: Deploy Helm, Prometheus, and Grafana
+
+<!-- Knowledge type: Procedure -->
+
+### 1.1 Install Helm
+
+Purpose: Install Helm 3 on a local machine or operations node to install and manage the monitoring components on Kubernetes.
+
+```shell
+curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash
+```
+
+### 1.2 Add the Prometheus Community Helm Repository
+
+Purpose: Register the repository that hosts the `kube-prometheus-stack` Chart, and refresh the local cache.
+
+```shell
+helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
+helm repo update
+```
+
+### 1.3 Deploy kube-prometheus-stack
+
+Purpose: Deploy Prometheus, Grafana, Alertmanager, and the related Operator in a dedicated `monitoring` namespace.
+
+```shell
+# Create the namespace
+kubectl create namespace monitoring
+
+# Deploy kube-prometheus-stack
+helm install prometheus prometheus-community/kube-prometheus-stack -n monitoring
+```
+
+### 1.4 Check Pod Status
+
+Purpose: Confirm that all Pods in the monitoring stack are in the `Running` state before moving on to the next step.
+
+```shell
+kubectl get pods -n monitoring
+```
+
+A normal output looks like the following:
+
+```text
+NAME                                                     READY   STATUS    RESTARTS         AGE
+alertmanager-prometheus-kube-prometheus-alertmanager-0   2/2     Running   8 (5h28m ago)    4d23h
+prometheus-grafana-7994c77c7-8nk7j                       3/3     Running   12 (5h28m ago)   5d
+prometheus-kube-prometheus-operator-5576477887-dgp8h     1/1     Running   4 (5h28m ago)    5d
+prometheus-kube-state-metrics-77885ddddc-hldlw           1/1     Running   4 (5h28m ago)    4d23h
+prometheus-prometheus-kube-prometheus-prometheus-0       2/2     Running   0                4h11m
+prometheus-prometheus-node-exporter-2tl9s                1/1     Running   4 (5h28m ago)    4d23h
+prometheus-prometheus-node-exporter-b58rd                1/1     Running   4 (5h28m ago)    4d23h
+prometheus-prometheus-node-exporter-fqp6v                1/1     Running   4 (5h28m ago)    4d23h
+```
+
+## Step 2: Configure Prometheus to Scrape Doris Metrics
+
+<!-- Knowledge type: Configuration parameters -->
+<!-- Use cases: enable Prometheus to auto-discover and scrape metrics exposed by Doris FE/BE/Meta Service -->
+
+Create a `ServiceMonitor` so that Prometheus Operator auto-discovers Doris Services in the `default` namespace that carry the label `app.doris.disaggregated.cluster=test-disaggregated-cluster`, and scrapes their metrics grouped by the three component types: FE, BE, and Meta Service.
+
+### 2.1 Prepare the ServiceMonitor YAML
+
+Purpose: Declare the scrape targets, endpoint paths, and scrape interval, and use `relabelings` to assign a unified `group` label to each service by role for dashboard filtering.
+
+```yaml
+apiVersion: monitoring.coreos.com/v1
+kind: ServiceMonitor
+metadata:
+  name: doris-disaggregated-monitor
+  namespace: monitoring
+  labels:
+    release: prometheus
+spec:
+  namespaceSelector:
+    matchNames:
+    - default
+  selector:
+    matchLabels:
+      app.doris.disaggregated.cluster: test-disaggregated-cluster
+  endpoints:
+  - port: http
+    path: /metrics
+    interval: 15s
+    relabelings:
+    # 1. Unify the job name
+    - action: replace
+      targetLabel: job
+      replacement: doris-cluster
+    # 2. Map Service name suffix to component group: -cg1 -> be, -fe -> fe, -ms -> meta_service
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-cg1
+      replacement: be
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-fe
+      replacement: fe
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-ms
+      replacement: meta_service
+      targetLabel: group
+
+  - port: brpc-port
+    path: /brpc_metrics
+    interval: 15s
+    relabelings:
+    # 1. Unify the job name
+    - action: replace
+      targetLabel: job
+      replacement: doris-cluster
+    # 2. Map Service name suffix to component group: -cg1 -> be, -fe -> fe, -ms -> meta_service
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-cg1
+      replacement: be
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-fe
+      replacement: fe
+      targetLabel: group
+    - sourceLabels: [__meta_kubernetes_service_name]
+      regex: .*-ms
+      replacement: meta_service
+      targetLabel: group
+```
+
+### 2.2 Key Fields of the ServiceMonitor
+
+| Field | Value | Description |
+|------|------|------|
+| `metadata.namespace` | `monitoring` | The ServiceMonitor must reside in the same namespace as the Prometheus instance. |
+| `metadata.labels.release` | `prometheus` | Must match the Helm Release name. Prometheus Operator uses this label to discover ServiceMonitors. |
+| `spec.namespaceSelector.matchNames` | `default` | The namespace where the Doris cluster runs. Adjust to match your environment. |
+| `spec.selector.matchLabels` | `app.doris.disaggregated.cluster: test-disaggregated-cluster` | Selects the Service of the Doris compute-storage decoupled cluster. Update the cluster name as needed. |
+| `endpoints[0].port` | `http` | The HTTP port name on which FE, BE, and Meta Service expose `/metrics`. |
+| `endpoints[1].port` | `brpc-port` | The bRPC port name on which BE exposes `/brpc_metrics`. |
+| `endpoints[*].interval` | `15s` | Scrape interval. Adjust based on data volume and precision requirements. |
+| The `group` label in `relabelings` | `be` / `fe` / `meta_service` | Divides metrics into three component categories by Service name suffix, for dashboard variable filtering. |
+
+### 2.3 Apply the YAML and Verify
+
+Purpose: Let Prometheus Operator detect the new `ServiceMonitor` and refresh its scrape targets.
+
+```shell
+kubectl apply -f doris-monitor.yaml
+```
+
+In a browser, open Prometheus (default port `9090`, for example `http://your_ip:9090`), navigate to **Status → Targets**, and confirm that the FE, BE, and Meta Service targets under `doris-cluster` are all in the `UP` state.
+
+## Step 3: Configure Grafana and the Dashboard
+
+<!-- Knowledge type: Procedure -->
+<!-- Use cases: visualize Doris cluster and node metrics through Grafana -->
+
+### 3.1 Log In to Grafana
+
+Purpose: Access the Grafana bundled with `kube-prometheus-stack` and complete the first login.
+
+1. In a browser, open Grafana (default port `3000`, for example `http://your_ip:3000`).
+2. The username is `admin`. Retrieve the initial password with the following command:
+
+    ```shell
+    kubectl get secret --namespace monitoring prometheus-grafana -o jsonpath="{.data.admin-password}" | base64 --decode ; echo
+    ```
+
+### 3.2 Import the Doris Dashboard
+
+Purpose: Use the official Dashboard JSON file to visualize Doris cluster metrics.
+
+1. Download the official Dashboard file: [Doris-Dashboard-Cloud.json](https://doris.apache.org/files/doris-grafana-dashboard-cloud.json)
+2. In Grafana, go to **Dashboards → New → Import**, import the JSON file, and select the bundled Prometheus as the data source.
+3. Append `&var-cluster_id=doris-cluster` to the dashboard URL to match the `job` name set in the ServiceMonitor. For example:
+
+    ```text
+    http://your_ip:3000/d/3fFiWJ4mz456/doris-cloud-dashboard-overview?orgId=1&var-cluster_id=doris-cluster&refresh=5s
+    ```
+
+### 3.3 Add Node Monitoring (Optional)
+
+Purpose: The example JSON file does not include a host node monitoring panel. Use the official Grafana template `1860` to display `node-exporter` metrics directly.
+
+1. In Grafana, import a dashboard:
+
+    ![image-for-grafana-import-dashboard](/images/next/install/image-for-grafana-import-dashboard.png)
+
+2. Select the official template number `1860`:
+
+    ![image-for-grafana-demo-1860](/images/next/install/image-for-grafana-demo-1860.png)
+
+3. After the import completes, you can view the node metrics:
+
+    ![image-for-node-metrics](/images/next/install/image-for-node-metrics.png)
+
+## Common Issues
+
+<!-- Knowledge type: Troubleshooting -->
+
+| Issue | Possible cause | Resolution |
+|------|----------|----------|
+| Doris targets do not appear under Prometheus **Targets** | The `namespaceSelector` or `matchLabels` of the ServiceMonitor does not match the actual Doris cluster; the `release` label does not match the Helm Release name. | Verify the cluster namespace, the Service label `app.doris.disaggregated.cluster`, and confirm that the `release` label on the `ServiceMonitor` is set to `prometheus`. |
+| Targets are listed but show `DOWN` | The Pod is not ready, or the `http` / `brpc-port` port name does not match the port name that is actually exposed. | Use `kubectl get svc -n default` and `kubectl describe pod` to confirm the port names, the readiness state, and that `/metrics` and `/brpc_metrics` are accessible inside the container. |
+| Grafana dashboard panels are empty | The URL is missing `var-cluster_id=doris-cluster`, or the `job` name in the ServiceMonitor has been changed. | Check that the `var-cluster_id` in the dashboard URL and the `job` label in the `ServiceMonitor` are both set to `doris-cluster`. |
+| Cannot access Prometheus on port 9090 or Grafana on port 3000 | The Service type defaults to `ClusterIP`, which is not reachable from outside the cluster. | Forward the port with `kubectl port-forward`, or change the corresponding Service type to `NodePort` or `LoadBalancer`. |
+| The command to retrieve the Grafana password returns `NotFound` | The Helm Release is not named `prometheus`, so the Secret name differs. | Use `kubectl get secret -n monitoring` to find the actual Grafana Secret name, then substitute it for `prometheus-grafana` in the command. |
diff --git a/versioned_sidebars/version-4.x-sidebars.json b/versioned_sidebars/version-4.x-sidebars.json
index 29de294461cf0..9060a442fe71d 100644
--- a/versioned_sidebars/version-4.x-sidebars.json
+++ b/versioned_sidebars/version-4.x-sidebars.json
@@ -69,7 +69,8 @@
                                         "install/deploy-on-kubernetes/separating-storage-compute/config-ms",
                                         "install/deploy-on-kubernetes/separating-storage-compute/config-fe",
                                         "install/deploy-on-kubernetes/separating-storage-compute/config-cg",
-                                        "install/deploy-on-kubernetes/separating-storage-compute/install-doris-cluster"
+                                        "install/deploy-on-kubernetes/separating-storage-compute/install-doris-cluster",
+                                        "install/deploy-on-kubernetes/separating-storage-compute/install-prometheus-and-grafana"
                                     ]
                                 }
                             ]