You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: content/learning-paths/cross-platform/create-your-own-topo-templates/_index.md
+6-6Lines changed: 6 additions & 6 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -12,17 +12,17 @@ minutes_to_complete: 30
12
12
who_is_this_for: This is an introductory topic for embedded, edge, and cloud software developers who want to create their own Topo Templates projects to be natively deployed with Topo.
13
13
14
14
learning_objectives:
15
-
- Install Topo and verify that the host and target environments are ready for deployment
16
-
- Run health checks and generate a target description to identify compatible Arm processor features and Templates
17
-
- Clone a Topo Template and deploy a containerized workload to an Arm-based Linux target
18
-
- (Optional) Deploy firmware and applications to heterogeneous Cortex-A + Cortex-M devices using remoteproc-runtime
15
+
- Explain the purpose and structure of a Topo Template
16
+
- Clone and deploy an existing Topo Template to validate the Template workflow
17
+
- Add clone-time arguments to customize a Topo Template
18
+
- Create a new Topo Template from a Docker Compose project
19
+
- Add x-topo metadata for configurable arguments, deployment guidance, and hardware requirements
19
20
20
21
prerequisites:
21
22
- This learning path builds on [Deploy containerized workloads to Arm-based Linux targets with Topo](/learning-paths/cross-platform/deploy-containerized-workloads-with-topo/).
22
23
- A host machine (x86 or Arm) with Linux, macOS, or Windows
23
-
- An Arm-based Linux target accessible over SSH, for example an Arm-based Linux VM, Raspberry Pi, DGX Spark, or NXP i.MX 93
24
+
- (Optional) An Arm-based Linux target accessible over SSH, for example an Arm-based Linux VM, Raspberry Pi, DGX Spark, or NXP i.MX 93
24
25
- Docker installed on the host and target. For installation steps, see [Install Docker](/install-guides/docker/).
25
-
- lscpu installed on the target (pre-installed on most Linux distributions)
0 commit comments