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| 1 | +# Timeplus Enterprise 3.1 |
| 2 | + |
| 3 | +## Key Highlights |
| 4 | + |
| 5 | +Key highlights of the Timeplus 3.1 release include: |
| 6 | + |
| 7 | +- **Timeplus Inputs** |
| 8 | + |
| 9 | + Timeplus input is a new concept which allows users to push / stream data to the inputs by leveraging existing data ecosystem and tools. |
| 10 | + |
| 11 | + In this release, the following inputs are supported. |
| 12 | + |
| 13 | + - Splunk S2S |
| 14 | + - Splunk HEC |
| 15 | + - Datadog |
| 16 | + - Elastic |
| 17 | + - OpenTelemetry |
| 18 | + - Netflow / IPFIX |
| 19 | + - Syslog |
| 20 | + |
| 21 | +- **Microsoft Sentinel External Table (Output)** |
| 22 | + |
| 23 | + User can write security events to Microsoft Sentinel by using this external table now. |
| 24 | + |
| 25 | +- **Performance Enhancements** |
| 26 | + |
| 27 | + - Bidirectional direct join for Mutable streams |
| 28 | + - Historical data backfill concurrency control “backfill_max_threads” query setting |
| 29 | + - Big performance improvements on Protobuf Kafka record streaming parsing. |
| 30 | + - Better HTTP Connection Pooling |
| 31 | + - Better Materialized View Workload Rebalance |
| 32 | + |
| 33 | +- **System Observability Enhancements** |
| 34 | + |
| 35 | + - Provide disk IO utilization of each node in the cluster |
| 36 | + - More lagging insights in historical store : v_stream_applied_lags |
| 37 | + - More metrics for Streaming Join |
| 38 | + |
| 39 | +## Supported OS {#os} |
| 40 | +|Deployment Type| OS | |
| 41 | +|--|--| |
| 42 | +|Linux bare metal| x64 or ARM chips: Ubuntu 20.04+, RHEL 8+, Fedora 35+, Amazon Linux 2023| |
| 43 | +|Mac bare metal| Intel or Apple chips: macOS 14, macOS 15| |
| 44 | +|Kubernetes|Kubernetes 1.25+, with Helm 3.12+| |
| 45 | + |
| 46 | +## Releases |
| 47 | +We recommend using stable releases for production deployment. Engineering builds are available for testing and evaluation purposes. |
| 48 | + |
| 49 | +### 3.1.1 {#3_1_1} |
| 50 | +Released on 01-29-2026. Installation options: |
| 51 | +* For Linux or Mac users: `curl https://install.timeplus.com/3.0 | sh` [Downloads](/release-downloads#3_1_1) |
| 52 | +* For Docker users (not recommended for production): `docker run -p 8000:8000 docker.timeplus.com/timeplus/timeplus-enterprise:3.1.1` |
| 53 | +* For Kubernetes users: `helm install timeplus/timeplus-enterprise --version TBD` |
| 54 | + |
| 55 | +Component versions: |
| 56 | +* timeplusd 3.1.1 |
| 57 | +* timeplus_appserver 3.0.47 |
| 58 | +* timeplus_connector 3.0.21 |
| 59 | +* timeplus cli 3.0.0 |
| 60 | +* timeplus byoc 1.0.0 |
| 61 | + |
| 62 | +#### Changelog {#changelog_3_1_1} |
| 63 | + |
| 64 | +**Inputs** |
| 65 | +* Splunk S2S |
| 66 | +* Splunk HEC |
| 67 | +* Datadog |
| 68 | +* Elastic |
| 69 | +* OpenTelemetry |
| 70 | +* Netflow / IPFIX |
| 71 | +* Syslog |
| 72 | + |
| 73 | +**Outputs** |
| 74 | +* Microsoft Sentinel External Table |
| 75 | + |
| 76 | +**Other Functionalities** |
| 77 | +* Python table function for read, write and transform |
| 78 | +* Immutable column `_tp_index_time` for mutable stream |
| 79 | + |
| 80 | +**Performance** |
| 81 | +* Bidirectional direct join for Mutable streams |
| 82 | +* Historical data backfill concurrency control “backfill_max_threads” query setting |
| 83 | +* Big performance improvements on Protobuf Kafka record streaming parsing. |
| 84 | +* Better HTTP Connection Pooling |
| 85 | +* Better Materialized View Workload Rebalance |
| 86 | + |
| 87 | +**System Observability Enhancements** |
| 88 | + |
| 89 | +* Provide disk IO utilization of each node in the cluster |
| 90 | +* More lagging insights in historical store : v_stream_applied_lags |
| 91 | +* More internal observability metrics for streaming Join |
| 92 | + |
| 93 | +**Bugfixes** |
| 94 | +* Quite a few bugfixes for Mutable stream |
| 95 | +* Bugfixes for Materialized View checkpointing |
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