Question 1

How to deploy Vector on Kubernetes?

Accepted Answer

Vector provides platform-specific documentation for Kubernetes, including Helm charts and configurations for deploying as an agent or aggregator to collect and route container logs and metrics. Check the official docs for detailed guides and best practices.

Question 2

Vector vs FluentBit: which is better for performance?

Accepted Answer

Vector often outperforms FluentBit in benchmarks, e.g., achieving 26.7 MiB/s vs 19.6 MiB/s in TCP to HTTP tests, but FluentBit might be lighter for edge cases. Choose Vector for high-throughput pipelines and FluentBit for resource-constrained environments.

Question 3

Does Vector support OpenTelemetry?

Accepted Answer

Vector can integrate with OpenTelemetry through sources and sinks that handle OTLP formats, but it's not a native OpenTelemetry collector. Use it to route OTel data to various backends for vendor-neutral processing.

Question 4

How to transform logs with Vector?

Accepted Answer

Use Vector's transforms like 'remap' with VRL (Vector Remap Language) to parse, enrich, or filter logs in configuration files. The docs include examples for common transformations such as log deduplication or metric conversion.

Question 5

Can Vector reduce observability costs?

Accepted Answer

Yes, by routing data efficiently to cost-effective sinks and enabling data reduction through transforms, Vector helps cut vendor bills. Its performance also reduces infrastructure overhead, as noted in use cases for cost reduction.

Question 6

Is Vector production-ready for metrics?

Accepted Answer

Metrics are in beta, so while functional, they might lack stability or advanced features compared to logs. Monitor the project's releases for updates, and consider testing in non-critical environments first.

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