Network Observability: Signals for Reliable Services
Track network health across hosts, DNS, paths, proxies, and requests. Learn which signals help diagnose failures without confusing telemetry with service SLOs.
Track network health across hosts, DNS, paths, proxies, and requests. Learn which signals help diagnose failures without confusing telemetry with service SLOs.
Understand bandwidth, throughput, latency, RTT, jitter, and packet loss with practical measurements, tail percentiles, and production diagnostic guidance.
Use a layered workflow to diagnose DNS, route, TCP, TLS, and HTTP failures with ping, curl, tcpdump, and Wireshark, then collect useful incident evidence.
Use a repeatable backend debugging workflow to reproduce failures, inspect evidence, test one hypothesis at a time, and verify fixes safely in production.
Monitor API gateways and downstream integrations with route-level health signals, dependency metrics, useful alerts, and clear ownership boundaries.
Instrument API integrations with structured logs, service metrics, and correlation IDs so teams can trace failures without exposing secrets or personal data.
Learn how Java Flight Recorder captures low-level diagnostics, profiling data, and continuous monitoring events from the JVM in production environments.
Learn how to use JMX and MXBeans to monitor JVM memory pools, perform hotspot diagnostics, and build custom MBeans for production observability.
Master Linux performance profiling with perf, ftrace, BCC tools, and flame graphs to identify and eliminate kernel bottlenecks.
Build alerting systems that catch real problems without fatigue. Learn alert design principles, severity levels, runbooks, and on-call best practices.