Blog

Tag: observability

A focused list of articles for this topic.

14 min read · keep distributed traces continuous across every service boundary

Cross-service context propagation in microservices: practical OpenTelemetry patterns

Broken traces rarely mean missing instrumentation—they mean a lost traceparent at an HTTP hop, Kafka header, gRPC metadata field, or background thread. Master inject, transport, and extract so every span stays on the same request journey.

14 min read · turn observability signals into reliable scaling actions

Observability-driven auto-scaling in Kubernetes: from metrics to action

CPU-only autoscaling reacts after latency is already visible to users. Build a closed loop where Prometheus records saturation and queue pressure, KEDA applies bounded scaling behavior, and dashboards track scaling health as a first-class SRE signal.

14 min read · debug kernel-level latency and network issues in production

eBPF in production: kernel-level observability and debugging for DevOps teams

Application metrics cannot explain TCP retransmissions, cgroup scheduling delays, or syscall hot paths. eBPF runs sandboxed programs in the Linux kernel to observe those signals with minimal overhead—without strace, sidecars, or kernel rebuilds.

14 min read · trace every request path across microservices in Kubernetes

Distributed tracing with OpenTelemetry in production Kubernetes

One user request can cross dozens of services before it returns. Logs and metrics alone cannot show where latency or errors appear in the chain. This guide deploys the OpenTelemetry Operator, agent and gateway collectors, auto-instrumentation, and W3C context propagation to Tempo.

14 min read · unify traces metrics and logs through a scalable OTel Collector tier

Production-grade OpenTelemetry Collector pipeline for unified traces, metrics, and logs

Jaeger, Prometheus, and Fluentd as three separate stacks multiply ops cost and break correlation. This guide deploys agent and gateway Collectors with memory limits, tail sampling, exporter queues, and Kubernetes Helm patterns.

12 min read · collapse incident tooling into one auditable Slack workflow

ChatOps incident response: from Alertmanager alert to resolution in Slack

On-call engineers still context-switch between PagerDuty, Grafana, kubectl, and wikis while minutes burn. This guide wires Prometheus Alertmanager into a Slack bot that enriches alerts, posts runbook actions, and executes approved remediation with RBAC.

11 min read · define reliability targets with measurable error budgets

SLOs, SLIs, and error budgets for platform teams: a minimal reliability contract

Dashboards and alert volume do not define reliability. This guide shows how small platform teams pick one or two user-facing SLIs, set a 30-day SLO with an error budget, wire multi-window burn alerts, and connect budget policy to release decisions.

12 min read · hybrid platform operations and unified control planes

Standardizing infrastructure operations across containerized and virtualized workloads

Hybrid estates split teams across incompatible tooling and slower incident response. This article outlines a single operational layer: shared deployment interfaces, normalized observability, policy-as-code, mesh-aware connectivity, and identity that spans both runtimes.

8 min read · improve reliability and incident response

Observability setup for small platform teams: what to implement first

A minimalist monitoring blueprint that improves incident response without introducing heavy operational overhead.

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