v0.56.0
ed-donner/llm_engineeringv0.56.0Jun 3, 2026by github-actions[bot]
AI Summary
This release introduces a new Databricks sink, a delay transform, and enhanced HTTP retry strategies, while restoring support for RHEL 8 and fixing a CPU regression.
Key Highlights
- New `databricks_zerobus` sink for Unity Catalog
- New `delay` transform for event timing
- Enhanced `tag_cardinality_limit` transform
- Restored RHEL 8 support
- Fixed CPU regression affecting metric sinks
Breaking Changes
- The `greptimedb_metrics` and `greptimedb_logs` sinks now require GreptimeDB v1.x
New Features
- New `databricks_zerobus` sink
- New `delay` transform
- HTTP sink `retry_strategy` configuration
- Support for `zstd` compression in the `vector` sink
- Parquet batch encoding in the `aws_s3` sink
- Unit tests with `expected_event_count` field
Full Release Notes
The [COSE team](https://opensource.datadoghq.com/about/#the-community-open-source-engineering-team) is excited to announce version `0.56.0`! š ## Release highlights - Added a new `databricks_zerobus` sink that streams log data to Databricks Unity Catalog tables through the Zerobus ingestion service. The sink supports OAuth 2.0 authentication, automatic schema fetching from Unity Catalog, and protobuf batch encoding. - Added a new `delay` transform that delays each event by a fixed duration. Events can also be delayed based on a condition which includes VRL transforms. - HTTP-based sinks that use the shared retry helpers now support a `retry_strategy` configuration option to control which HTTP response codes are retried. The `http` sink also includes a new example showing how to retry only specific transient status codes. - The `vector` sink now supports `zstd` compression in addition to `gzip`. This provides better compression ratios and performance for Vector-to-Vector communication. - The `tag_cardinality_limit` transform received major enhancements: per-tag cardinality overrides (`per_tag_limits`), per-metric tracking isolation (`tracking_scope: per_metric`), a global key cap (`max_tracked_keys`), and the ability to opt entire metrics out of cardinality tracking. - Parquet batch encoding in the `aws_s3` sink is now available out of the box in official release binaries for all users. - Fixed a CPU regression introduced in 0.50.0 affecting all sinks that use metric normalization such as `prometheus_remote_write`, `aws_cloudwatch_metrics`, `statsd`, and others. - Restored support for installing Vector on RHEL 8, Rocky Linux 8, AlmaLinux 8, and CentOS Stream 8, which had been broken since 0.55.0 due to an inadvertent glibc requirement bump. - Unit tests now support an optional `expected_event_count` field on test outputs, allowing assertions on the number of events emitted by a transform. ## Breaking Changes - The `greptimedb_metrics` and `greptimedb_logs` sinks now require GreptimeDB v1.x. Users running GreptimeDB v0.x must upgrade their GreptimeDB instance before upgrading Vector. š View all new features and fixes in the release notes [here](https://vector.dev/releases/0.56.0).