# Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More Explore our latest insights on DevOps. Get practical tips on tools like Azure, Docker, and Kubernetes. Straightforward advice for your DevOps. Join us and make your DevOps journey better. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Kubernetes Architecture: Control Plane, Scheduler, and Kubelet DevFeed: [Kubernetes Architecture: Control Plane, Scheduler, and Kubelet]() Original publisher: [Read original article]() Author: Nimesha Jinarajadasa Published: 2026-09-17T06:25:02Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [Kubernetes](), [control-plane](), [api server](), [Containers](), [etcd](), [kubectl]() Tags: [api](), [api-server](), [containers](), [control-plane](), [controllers](), [etcd](), [kubectl](), [kubernetes](), [kubernetes-architecture](), [kubernetes-networking](), [node](), [scheduler]() ### AI overview A beginner-friendly tutorial explaining how Kubernetes maintains the desired state of containerized applications. It covers the control plane, API server, etcd, controllers, scheduler, and kubelet. ### Source excerpt Learn how Kubernetes works, from the control plane and scheduler to kubelet, pods, and Services, with simple answers to interview questions. ## Understanding Load Balancing for Beginners DevFeed: [Understanding Load Balancing for Beginners]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-08-17T17:00:34Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [backends](), [networking](), [Algorithms]() Tags: [backend](), [beginners](), [cloud](), [connection-draining](), [devops](), [failover](), [health-checks](), [high-availability](), [kubernetes](), [layer-4-vs-layer-7](), [least-connections](), [load-balancer](), [load-balancer-for-beginners](), [load-balancing](), [load-balancing-algorithms](), [networking](), [nginx](), [round-robin](), [session-affinity](), [sre](), [sticky-sessions](), [thundering-herd](), [traffic-management]() ### AI overview This beginner-oriented article explains load balancing as both traffic distribution and backend failure detection. It compares round robin and least-connections algorithms, distinguishes Layer 4 from Layer 7 routing, and discusses health checks, failover, draining, sticky sessions, and the risks of overly aggressive checks. ### Source excerpt Spreading traffic is the easy half of load balancing. The half that decides whether an outage lasts ten seconds or ten minutes is noticing that a backend has stopped working, and most health checks cannot. ## Networking Concepts Every DevOps Engineer Needs to Know DevFeed: [Networking Concepts Every DevOps Engineer Needs to Know]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-08-14T17:14:08Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [networking](), [DevOps](), [browser](), [Kubernetes]() Tags: [browser](), [cidr-and-subnets](), [cloud](), [conntrack](), [devops](), [dns](), [ephemeral-ports](), [kubernetes](), [kubernetes-networking](), [linux](), [mtu-mismatch](), [nat-and-snat](), [network](), [network-troubleshooting-commands](), [networking](), [networking-concepts-for-devops](), [osi-model-for-devops](), [platform-engineering](), [proxy](), [routing](), [tcp](), [tcp-handshake](), [timeout](), [tls-handshake](), [vpn]() ### AI overview A tutorial follows a request from a browser to a container to explain networking concepts relevant to DevOps engineers. It maps symptoms such as connection refusal, timeouts, resets, and packet-size-related hangs to network layers and discusses diagnosis across VPN gateways, Kubernetes, and other infrastructure. ### Source excerpt Follow one request from a browser to a container and back. Every networking concept you actually need shows up on that path, in order, and so does every place it breaks. ## What Is a Container Registry and How to Use One DevFeed: [What Is a Container Registry and How to Use One]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-08-10T17:48:35Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [container images](), [content addressed store](), [Docker Hub](), [Dockerfile](), [supply-chain-security]() Tags: [base-images](), [cache](), [ci-cd](), [cloud](), [container-images](), [container-registry](), [containers](), [content-addressed-store](), [cryptographic](), [devops](), [docker](), [docker-hub](), [docker-login](), [docker-pull-rate-limits](), [docker-registry](), [harbor](), [image-manifest](), [image-retention-policy](), [image-scanning](), [image-tags-vs-digests](), [kubernetes](), [private-registry](), [pull-through-cache](), [reproducible-builds](), [security](), [supply-chain-security]() ### AI overview This guide explains how container registries store and distribute container images, emphasizing the distinction between mutable tags and immutable content digests. It also covers pushing, pulling, authentication, Docker Hub rate limits, caching, scanning, and retention. ### Source excerpt A tag is a bookmark somebody else can move. A digest is the image itself. Once that distinction lands, reproducible builds, supply chain security, and every it worked yesterday mystery make sense. ## Blue Green and Canary Deployments Explained DevFeed: [Blue Green and Canary Deployments Explained]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-08-09T16:30:08Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [Deployment](), [Software](), [Database]() Tags: [argo-rollouts](), [automation](), [blue-green-and-canary-deployments](), [ci-cd](), [ci-cd-pipeline](), [cloud](), [database](), [deployment](), [deployment-strategies](), [devops](), [dora-change-failure-rate](), [expand-and-contract-migration](), [feature-flags](), [guide](), [kubernetes](), [progressive-delivery](), [release-management](), [rollback](), [rolling-update](), [schema](), [sre](), [traffic-splitting](), [zero-downtime-deployment]() ### AI overview This guide explains blue-green and canary deployment strategies for replacing running software versions. It emphasizes that effective rollback depends on detecting problems with reliable metrics and that database schema changes can limit reversibility. ### Source excerpt Both strategies buy you the same thing, which is a cheap way to be wrong. The mechanism is the easy part, and the two hard parts are noticing you are wrong and dealing with the database. ## YAML for DevOps Beginners, Syntax, Rules and Common Mistakes DevFeed: [YAML for DevOps Beginners, Syntax, Rules and Common Mistakes]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-08-06T17:16:19Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [YAML](), [configuration](), [DevOps](), [Ansible](), [ci](), [Kubernetes]() Tags: [ansible](), [block-scalars](), [ci-cd](), [cloud](), [configuration](), [devops](), [errors](), [guide](), [how-to](), [json](), [kubernetes](), [kubernetes-yaml-manifests](), [linter](), [mistakes](), [multi-document-yaml](), [structure](), [syntax](), [validation](), [yaml](), [yaml-anchors-and-aliases](), [yaml-common-mistakes](), [yaml-for-devops](), [yaml-indentation-rules](), [yaml-norway-problem](), [yaml-syntax-rules](), [yaml-vs-json](), [yamllint-validation]() ### AI overview A tutorial explaining YAML syntax, implicit typing, indentation rules, block scalars, anchors, aliases, and merge keys. It emphasizes that YAML can silently reinterpret unquoted values and recommends linting and schema validation in CI pipelines. ### Source excerpt YAML tries to guess what you meant, and that is the entire problem. Once you know which values it silently reinterprets and why, the manifests that mysteriously break stop being mysterious. ## Managing Environment Variables and Secrets in DevOps DevFeed: [Managing Environment Variables and Secrets in DevOps]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-08-01T13:00:47Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [DevOps](), [configuration](), [GitGuardian](), [GitHub](), [Terraform](), [Kubernetes]() Tags: [ci-cd-secrets-management](), [cloud](), [collaboration](), [collaboration-tools](), [configuration](), [container](), [crash](), [devops](), [devsecops](), [dynamic-secrets](), [env-file-security](), [environment-variables](), [gitguardian](), [github](), [hardcoded-credentials](), [hashicorp-vault](), [jira](), [kubernetes](), [kubernetes-secrets](), [leak](), [managing-environment-variables-and-secrets](), [rotation](), [safety](), [sealed-secrets](), [secret-rotation](), [secret-scanning](), [secrets](), [secrets-management-best-practices](), [security](), [storage](), [terraform](), [vault]() ### AI overview A guide to managing environment variables and secrets in DevOps. It explains how secrets escape through repositories, processes, crash reports, containers, collaboration tools, Kubernetes Secrets, and Terraform state, and discusses storage, access controls, lifecycles, and rotation. ### Source excerpt Nearly 29 million secrets were pushed to public GitHub in a single year, and most teams still discover their own leaks by accident. Here is how environment variables actually escape, and what to use instead at each stage. ## How DNS Works for DevOps Engineers DevFeed: [How DNS Works for DevOps Engineers]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-07-31T17:00:06Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [DevOps](), [Internet](), [Kubernetes](), [Security]() Tags: [1-1-1-1](), [authoritative-name-server](), [cloudflare](), [cname-vs-a-record](), [coredns-kubernetes](), [devops](), [dig-command-examples](), [dns](), [dns-for-devops-engineers](), [dns-record-types](), [dns-resolution-process](), [dns-troubleshooting](), [guide](), [health-checks](), [how-dns-works](), [infrastructure](), [kubernetes](), [linux](), [lookup](), [networking](), [outage](), [production](), [recursive-resolver](), [security](), [troubleshooting](), [ttl-in-dns](), [web]() ### AI overview A practical guide to DNS for DevOps engineers, tracing a lookup from a laptop through recursive, root, TLD, and authoritative servers. It explains TTL, caching, Kubernetes DNS and ndots, troubleshooting with command-line tools, and the security risk of dangling records. ### Source excerpt Almost every engineer uses DNS a hundred times a day and has never been taught how it works. This guide follows a single lookup from your laptop to the answer, then shows you exactly where it breaks in production. ## AI for Kubernetes: Complete Guide DevFeed: [AI for Kubernetes: Complete Guide]() Original publisher: [Read original article]() Author: Nimesha Jinarajadasa Published: 2026-07-31T03:12:00Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [Artificial Intelligence](), [Kubernetes](), [Tooling](), [Model Context Protocol](), [GitOps]() Tags: [agents](), [ai](), [clusters](), [diagnostics](), [gitops](), [guide](), [kubernetes](), [mcp]() ### AI overview A guide to AI for Kubernetes that distinguishes read-only diagnostic tools, write-capable agents, and command copilots. It explains the role of MCP, outlines the limits and risks of each category, and recommends starting with diagnosis before supervised agents and GitOps-managed workflows. ### Source excerpt The complete map of AI for Kubernetes: diagnostics, agents, and copilots, what each does today, the honest limits, and where to start. ## Using ArgoCD to Manage AI Model Deployments with GitOps DevFeed: [Using ArgoCD to Manage AI Model Deployments with GitOps]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-07-28T18:24:57Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [GitOps](), [argocd](), [model-deployment](), [Artificial Intelligence](), [model-serving](), [Architecture & Design]() Tags: [ai](), [ai-models](), [argo-rollouts-model-promotion](), [argocd](), [argocd-ai-model-deployment](), [argocd-applicationset](), [argocd-sync-waves](), [automation](), [ci-cd](), [declarative-model-serving](), [deployment](), [devops](), [gitops](), [gitops-for-ai-model-deployments](), [gitops-mlops](), [kserve](), [kserve-canary-deployment](), [kubernetes](), [kubernetes-model-deployment-rollback](), [ml-model-deployment](), [ml-model-versioning](), [mlops](), [model-deployment](), [model-registry-to-git-automation](), [model-serving](), [pull-requests](), [standard](), [tutorial]() ### AI overview This tutorial explains how to use ArgoCD and GitOps to deploy AI models while accounting for model weights stored outside container images. It covers pinned model references, rollback and recovery, synchronization ordering, readiness probes, evaluation-based promotion gates, and KServe status handling. ### Source excerpt Your microservices deploy through pull requests with full audit trails. Your models deploy because someone ran a script. Here is how to close that gap with ArgoCD, and what changes when the artifact weighs four gigabytes. ## How to Build a Kubernetes Troubleshooting AI Agent with LangChain and kubectl DevFeed: [How to Build a Kubernetes Troubleshooting AI Agent with LangChain and kubectl]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-07-27T17:26:08Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [AI Agent](), [Kubernetes](), [kubectl](), [LangChain](), [Tutorial]() Tags: [ai](), [ai-agent](), [ai-agent-for-kubernetes](), [ai-agents](), [aiops-for-kubernetes](), [automation](), [configuration](), [crashloopbackoff-troubleshooting](), [devops](), [human-in-the-loop-agent](), [kubectl](), [kubectl-ai-agent](), [kubernetes](), [kubernetes-rbac-for-ai-agents](), [kubernetes-troubleshooting-ai-agent](), [kubernetes-troubleshooting-automation](), [langchain](), [langchain-kubernetes-agent](), [langgraph](), [langgraph-agent-tutorial](), [python](), [react-agent-python](), [security](), [tool](), [troubleshooting](), [tutorial]() ### AI overview A tutorial on building a Kubernetes troubleshooting AI agent with LangChain v1 and kubectl. It describes a diagnostic ladder for investigating pod failures, read-only tools, approval requirements for write operations, separate identities for remediation, and a golden trace suite for evaluating results. ### Source excerpt Most pod failures resolve into six root causes, and the investigation is identical every time. Here is how to build an agent that runs that investigation for you, with a hard boundary between reading a cluster and changing one. ## Building AI Agents That Manage Kubernetes DevFeed: [Building AI Agents That Manage Kubernetes]() Original publisher: [Read original article]() Author: Nimesha Jinarajadasa Published: 2026-07-27T05:00:53Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [AI Agent](), [Kubernetes](), [kubectl](), [Python]() Tags: [agents](), [ai](), [how-to](), [kubectl](), [kubernetes](), [python](), [tutorial]() ### AI overview A hands-on tutorial for building a supervised AI agent that manages Kubernetes through an LLM and kubectl tool-calling loop. The agent reads cluster state, proposes approved actions such as scaling a deployment, applies guardrails and human approval, and verifies the result on a throwaway cluster. ### Source excerpt Build a supervised AI agent that manages Kubernetes: an LLM in a kubectl tool loop with real guardrails. Full hands-on tutorial, live output. ## Multi Agent Systems for Platform Engineering, Patterns and Architecture DevFeed: [Multi Agent Systems for Platform Engineering, Patterns and Architecture]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-07-26T16:16:42Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [Platform Engineering](), [distributed-systems](), [systems](), [Model Context Protocol](), [Provisioning]() Tags: [a2a-protocol](), [agent](), [agent-orchestration](), [agent-to-agent-communication](), [ai-agents](), [architecture](), [audit-trail](), [automation](), [devops](), [distributed-systems](), [hierarchical-agent-systems](), [internal-developer-platform-automation](), [kubernetes](), [langgraph](), [langgraph-multi-agent](), [mcp](), [mcp-for-platform-engineering](), [multi-agent](), [multi-agent-architecture-patterns](), [multi-agent-systems](), [multi-agent-systems-for-platform-engineering](), [platform-engineering](), [platform-engineering-automation](), [provisioning](), [supervisor-agent-pattern]() ### AI overview A practical guide to designing multi-agent systems for platform engineering. It compares supervisor, pipeline, fan-out, hierarchical, and swarm patterns; explains how agent contracts, identity boundaries, audit trails, and verification address common failure modes; and distinguishes MCP from A2A. ### Source excerpt Studies of real agent systems put failure rates between 41 and 86 percent, and almost none of it is the model's fault. Here are the patterns that hold up for platform work, and the discipline that decides whether yours does. ## How to Connect Prometheus Alerts to an Event-Driven AI Agent for Initial Investigation DevFeed: [How to Connect Prometheus Alerts to an Event-Driven AI Agent for Initial Investigation]() Original publisher: [Read original article]() Author: Pramodh Kumar M Published: 2026-07-23T15:00:31Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [AI Agent](), [Prometheus](), [event driven](), [Kubernetes](), [Slack](), [Deployment]() Tags: [agents](), [ai](), [ai-agents](), [aiops](), [alert-fatigue](), [alert-manager](), [alert-triage](), [architecture](), [auto-remediation](), [automated-incident-response](), [automation](), [devaiops](), [event-driven](), [event-driven-ai-agents-with-prometheus-alerts](), [guide](), [how-to](), [kubernetes](), [kubernetes-ai-agent](), [prometheus](), [prometheus-alert-rules](), [prometheus-alertmanager-webhook](), [root-cause-analysis](), [slack](), [sre](), [sre-automation]() ### AI overview This guide explains how to connect Prometheus and Alertmanager to an event-driven AI agent that investigates alerts before a human responds. It covers the architecture, read-only investigation tools, alert-rule annotations, safety guardrails, and a progression toward guarded remediation. ### Source excerpt Every page interrupts a human, yet most alerts end in the same ten investigation steps. Here is how event driven AI agents catch Prometheus alerts and do that first pass before you even look at your phone. ## Using AI to Troubleshoot Kubernetes Clusters DevFeed: [Using AI to Troubleshoot Kubernetes Clusters]() Original publisher: [Read original article]() Author: Nimesha Jinarajadasa Published: 2026-07-18T08:34:19Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [Kubernetes](), [Artificial Intelligence]() Tags: [ai](), [clusters](), [errors](), [guide](), [how-to](), [kubernetes](), [recovery](), [troubleshooting](), [verify]() ### AI overview A practical tutorial on using k8sgpt to troubleshoot deliberately broken Kubernetes clusters. It covers diagnosing ImagePullBackOff and CrashLoopBackOff errors, generating AI-assisted explanations and fix steps, applying a suggested fix, and verifying recovery while a human remains responsible for the decision. ### Source excerpt Use AI to troubleshoot Kubernetes with k8sgpt: diagnose real ImagePullBackOff and CrashLoopBackOff errors, get fix steps, and verify recovery. ## Kubernetes Tutorial: Deploy, Expose, Scale, and Self-Heal Your First App DevFeed: [Kubernetes Tutorial: Deploy, Expose, Scale, and Self-Heal Your First App]() Original publisher: [Read original article]() Author: Nimesha Jinarajadasa Published: 2026-07-06T08:25:48Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [Kubernetes](), [Tutorial](), [kubectl](), [YAML](), [Containers](), [Deployment]() Tags: [beginners](), [declarative](), [guide](), [kubectl](), [kubernetes](), [scale](), [self-healing](), [state](), [tutorial](), [yaml]() ### AI overview A beginner-friendly, hands-on tutorial that walks through deploying an application to a Kubernetes cluster, exposing it with a Service, scaling it, observing self-healing, and repeating the deployment declaratively with YAML and kubectl. ### Source excerpt A hands-on Kubernetes tutorial for beginners: deploy your first app, expose and scale it, see self-healing, and use YAML with kubectl.