Tag
Vector is the Datadog observability agent, written in Rust with its own transformation language VRL. Typically 30-100 MB memory, handling logs, metrics, and traces from dozens of sources. The right choice when pipelines are too complex for Fluent Bit and a modern alternative to Logstash.
eBPF-based continuous profiling captures CPU flame graphs for every process on a Linux node around the clock, without instrumenting code or restarting services, at under 1% overhead. Parca covers the whole cluster, Beyla adds automatic HTTP/gRPC metrics and traces, and Pyroscope brings native per-language detail to the most critical services.
LLM applications need three distinct observability planes: prompt and response traces for debugging hallucinations, per-token and per-feature cost tracking, and response quality evaluation. Mature tools like Langfuse, LangSmith, and Helicone cover all three planes with specific instrumentation.
OpenTelemetry declared logs signals stable in July 2024. The third pillar of modern observability finally joins metrics and traces under a single protocol and a shared data model.
Parca is a continuous profiling tool based on eBPF that samples CPU usage across an entire Kubernetes cluster around the clock, without instrumenting application code and with under 1% overhead. It catches performance regressions before production and makes flame graphs practical for everyday debugging.
