Optimizing Kubernetes Telemetry via eBPF
Deploying eBPF, Cilium, and Kepler resolves the high CPU overhead of agent-based monitoring while establishing precise Joules-level sustainability telemetry in Kubernetes.
- #kubernetes
- #linux
- #observability
Deploying eBPF, Cilium, and Kepler resolves the high CPU overhead of agent-based monitoring while establishing precise Joules-level sustainability telemetry in Kubernetes.
Manual pod updates became a GitOps platform pipeline where CI builds images, Kustomize separates dev and prod, ArgoCD reconciles drift, and short-SHA tags trace rollbacks.
Transitioning from imperative Makefile scripting to a declarative OpenTofu orchestration layer for managing a growing Kubernetes observability stack through Infrastructure as Code.
Fixing Grafana dashboard provisioning by moving from brittle embedded JSON in values.yaml to standalone files, resolving 'invalid character' bugs once and for all.
Mastering SRE principles by transitioning from ad-hoc data collection to a standardized OpenTelemetry ecosystem using Prometheus, Grafana Tempo, and MinIO for persistence.
Executing a risk-based, four-stage migration of the observability stack from Docker to Kubernetes to ensure data integrity and system stability.
Migrating from EOL Promtail to Grafana Alloy via a Strangler Fig pattern, bridging Kubernetes and Docker logs to ensure zero visibility loss during the platform transition.
Eliminating static .env files by centralizing secrets in OpenBao via a reusable internal/secrets module, decoupling credentials to streamline the Kubernetes migration phase.
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