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K8s Authentication: Proving Who You Are to the API Server
The K8s API Server is a vault door; authentication is proving your identity to the guard. It tries a chain of methods—like OIDC for users or tokens for pods—until one succeeds. The footgun: unauthenticated requests become system:anonymous, a major risk.
Kubernetes API Server Authorization Modules
Kubernetes API server authorization is like a chain of security guards. A request must get a "yes" from at least one configured module (like RBAC) to pass. This is fundamental to securing any cluster. The footgun is that the chain stops at the first "allow."
Kubernetes Audit Logging: Your Cluster's Black Box Recorder
Kubernetes audit logging is the security camera for your API server, recording every API call to answer "who did what, and when?". It's essential for security forensics and compliance, but a common footgun is using a weak default or logging everything.
Falco: Real-Time Threat Detection for Cloud-Native
Falco is a runtime security camera, watching Linux syscalls to detect threats in real time. It's used in Kubernetes to spot abnormal behavior like privilege escalation or writing to /etc. The key is it only *detects* and *alerts*; it doesn't block threats.
The Three Pillars of Observability
Observability isn't one tool; it's a three-legged stool of metrics, logs, and traces. Metrics give the 'what' (CPU is high), logs the 'why' (an error loop), and traces the 'where' (which service is slow). The footgun is treating them as separate silos.
Kubernetes Events: The Cluster's Short-Term Memory
Think of Kubernetes Events as a cluster's temporary log, recording state changes like a Pod starting or a container failing. Use them with kubectl describe to debug issues in real-time.
Kubernetes Metrics Server: The Engine for Autoscaling
Metrics Server is the dedicated speedometer for your cluster's pods, feeding CPU and memory usage to Kubernetes's autoscalers. It powers the Horizontal and Vertical Pod Autoscalers and the kubectl top command. The footgun: it's *only* for autoscaling.
Kubernetes Cluster-Level Logging
Cluster-level logging treats logs as a stream, not as files on ephemeral pods. It centralizes logs from all nodes before they disappear when a pod dies, which is essential for debugging any production application.
Prometheus Architecture: A Pull-Based Monitoring System
Prometheus is a monitoring system that actively pulls metrics from your services, rather than waiting for them to push data. It's the standard for tracking performance in dynamic environments like Kubernetes.
Prometheus Exporters: Translating Metrics for Monitoring
A Prometheus Exporter is a translator, converting metrics from third-party systems like databases or hardware into the format Prometheus can scrape. Use one when you can't modify an app's code directly.
cAdvisor: A Task Manager for Containers
cAdvisor is like a task manager for your containers, giving you a live view of their resource usage. It's used to track performance, historical usage, and network stats for every container on a host.
PromQL: Querying Time Series Data as Vectors
PromQL treats metrics as vectors of values over time, letting you slice and aggregate system state. It's used for Grafana dashboards and Alertmanager rules. The footgun: applying rate() to a gauge instead of a counter produces silent, nonsensical results.
Prometheus Alertmanager: Taming Your Alert Storms
Alertmanager is the traffic controller for your Prometheus alerts, turning a potential flood into actionable notifications. It groups, deduplicates, and routes alerts to services like PagerDuty. The footgun: don't load balance traffic to an HA cluster.
OpenTelemetry
OpenTelemetry is a CNCF standard for generating, collecting and exporting traces, metrics and logs from your services using one vendor neutral set of APIs and SDKs, so you can switch observability backends without rewriting instrumentation code.
Service Mesh Observability: Seeing Inside the Black Box
A service mesh provides observability by intercepting all service-to-service traffic. It automatically generates logs, metrics, and traces, helping you debug distributed systems without changing application code.
GitOps Principles: Your Repo as the Source of Truth
GitOps treats infrastructure state like code, with your Git repo as the single source of truth. Automated agents pull declarative configs from the repo to reconcile the live system, making it ideal for Kubernetes.
Helm: The Package Manager for Kubernetes
Helm is like apt or Homebrew for Kubernetes. It bundles all your app's YAML files into a single manageable package called a Chart, solving "YAML sprawl." Use it to install complex apps with one command or to package your own for repeatable deployments.
Helm Repository: Your Private App Store for Kubernetes
A Helm repository is a private app store for your Kubernetes applications. It's just an HTTP server with a catalog file (index.yaml) pointing to your packaged charts. Use it to share reusable app templates across teams without using public registries.
Helm Templates: Turning Static YAML into Dynamic Manifests
Think of Helm templating as a mail merge for Kubernetes. It combines static YAML templates with dynamic values to generate manifests for different environments. Use it to manage configurations for dev, staging, and prod.
Configuration Drift: When Live State Betrays Git
Configuration drift is when your live system's state no longer matches its Git source of truth. GitOps tools like Argo CD detect this by constantly comparing live resources to Git, flagging any discrepancies.