From Telemetry to Traffic
Compare eBPF, sidecars, telemetry agents, OpenTelemetry, APM, and proxies through an evolving ladder of production visibility.
Read the guideObservability guides
Metrics, logs, and traces tell you where to look. API traffic shows the request, response, and dependency behavior that caused the failure. These guides connect the two.
Start here
Compare eBPF, sidecars, telemetry agents, OpenTelemetry, APM, and proxies through an evolving ladder of production visibility.
Read the guideLearn what metrics, logs, traces, and traffic each reveal about a production problem.
Follow practical workflows for latency, retries, and failures across service boundaries.
Carry production evidence into repeatable tests that run before the next release.
Export a recorded API session to Datadog Synthetics with proxymock. Review step limits, variable chaining, credentials, and assertions before publishing.
Discover endpoints, RED metrics, and traces in an opaque Kubernetes service with OpenTelemetry eBPF Instrumentation, then replay traffic with proxymock.
A Kubeshark alternative that goes beyond observability. Stream live cluster traffic into proxymock, then replay or mock it locally from your laptop.
Find the rare payload that sends a service down a retry path, correlate it to the recorded response, and prove the fix with proxymock replay.
Inspect encrypted microservice traffic with Speedscale’s eBPF collector. Check TLS support, node permissions, and Java-agent rollout requirements first.
We shifted testing, security, and CI/CD left. Observability stayed in production. With AI writing code faster, validation is the bottleneck.
Follow an eBPF debugging trail through rustls, Tokio inlining, and an empty map to learn how TLS plaintext gets matched to the right TCP connection.
Teams run inventory, security logs, request routing and billing through OpenTelemetry. Five non-observability uses, and the failure mode of each.
Observability tells you when production is on fire. Capturing and replaying real traffic lets you recreate the incident, verify the fix, and keep it fixed.
Capture the API traffic behind a production issue, replay it safely, and verify the fix against the same behavior.