Grafana Labs released Loki 3.0, a logging project
Loki 3.0 includes several key updates including:
- Query Acceleration with Bloom Filters: From the start, Loki has followed the Prometheus label-based data model, which is best suited for developer use cases while keeping scale and cost-effectiveness in mind. This approach made it easy to adopt and integrate Loki within an organization, but made it more difficult for non-developers to take advantage of common search and indexing benefits. This barrier is removed in Loki 3.0, which leverages bloom filters to accelerate queries that search for text strings, such as an order ID or user ID. This update will help users to speed up their needle-in-a-haystack queries from minutes to seconds.
- Native OpenTelemetry Support Added: As OpenTelemetry adoption continues to grow in the community, Loki seeks to meet users where they are with the addition of native OTLP support. With Loki 3.0, users can ingest, store, and query OTLP logs and metadata to solve observability problems.
The Loki engineering team also shared the project's roadmap for making Loki easier to use for its current users, and more accessible to a broader audience. Areas of focus include ease of operating Loki, the ability to cost-effectively support teams at larger and larger scale, interoperability with other Grafana telemetry offerings, and lower user-facing complexity.
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