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DevOps & observability · #kubernetes
Diagnose and fix HPA‑induced pod thrashing with a cause‑to‑fix table, step‑by‑step checks, and an example HPA config.
Learn how to scale Kubernetes workloads based on request‑per‑second using the Prometheus Adapter, avoiding late CPU‑driven scaling and improving latency.
Learn how Kubeflow Pipelines uses Argo Workflows to run each component in its own pod, enabling fine‑grained resource control, versioning, and full reproducibility. A step‑by‑step example shows how to write, submit, and verify a minimal pipeline on a production‑ready cluster.
Stop managing microservices as isolated Helm releases. Learn how to use Umbrella Charts to centralize dependencies, synchronize versions, and manage global configurations across your entire stack.
Decide between Traefik Mesh Operator and manual CRD configuration. Learn how to balance mTLS automation against granular control and implement weighted traffic splitting.
Learn how Gardener automates zero‑downtime Kubernetes upgrades by treating a Shoot’s version field as a trigger for rolling control‑plane and node updates, with a worked example, trade‑offs, and verification steps.
Learn how to activate FIPS‑validated cryptography in Talos Linux by adding a single kernel parameter via machine configuration, verify the setting, and understand the impact on your Kubernetes workloads.
Argo CD’s Sync Waves let you order resources in a GitOps deployment, ensuring that dependencies like ConfigMaps or CRDs are created before the objects that need them. Learn how to configure, test, and balance waves in this practical guide.
Learn how to deploy a minimal, production-grade Kubeflow Pipelines architecture focusing on resource efficiency, data boundaries, and failure mitigation.
prometheus
kubeflow
helm
traefikmesh
gardener
talos
argocd