Emire Barış5 min readkubectl describe explained: what to look for on Pods and Deployments
kubectl describe vs get: how to read Pod and Deployment output, Events, Conditions, lastState, and which command to run next. Optional kprompt examples.
Blog topic
devops
Day-2 DevOps with natural language: scale, explain, optimize, and review before apply. 67 articles.
Emire Barış5 min read
Muhtalip Dede7 min readkprompt + kagent: PlanResult as an MCP tool under a CNCF agent platform
How to compose kprompt with kagent without collapsing the layers: kagent hosts Agents-as-CRDs via MCPServer / RemoteMCPServer; kprompt ships read/plan-only MCP tools that return a typed PlanResult and never auto-apply. Validated against kagent quickstart + first MCP tool docs.
Muhtalip Dede3 min readkprompt + OpenTelemetry: trace payment request — without inventing spans
Day-2 OpenTelemetry with kprompt: bind Jaeger or Tempo, walk a span tree, narrate bottleneck waits, enrich service graphs with call edges when traces exist, and degrade honestly when OTel is missing. Not a Jaeger UI and not auto-remediation.
Muhtalip Dede4 min readkprompt + Argo CD: sync status, drift, and approve-gated reconcile
Day-2 Argo CD with kprompt: detect Application CRDs, show gitops sync status, investigate drift vs Git, approve-gated sync/promote/rollback through the real Application API, and optional --gitops PR mode instead of live reconcile. Flux is the peer engine on the same contract. Not an Argo UI and not silent sync.
Emire Barış3 min readKubernetes ConfigMap vs Secret: what beginners need to know
ConfigMap vs Secret in Kubernetes: when to use each, env vars and volume mounts, kubectl get/describe, common beginner mistakes, and optional kprompt examples.
Muhtalip Dede5 min readkprompt vs kagent: PlanResult ops CLI vs Kubernetes-native agent platform
kagent (CNCF Sandbox / Solo.io) is a Kubernetes-native agent runtime — Agents as CRDs, MCP, A2A, mesh. kprompt is an AI Runtime for cluster ops: PlanResult → approve, plus Observe notify. Is kprompt a kagent alternative? Only for the ops job — decision guide.
Muhtalip Dede4 min readkprompt on Google Cloud: GKE day-2 with Gemini, without a new control plane
Use kprompt against GKE the same way you use kubectl — get-credentials, aliases, plan-before-apply — plus Gemini BYOK. Optional Observe agent on the cluster; no Marketplace SaaS, no kubeconfig upload.
Muhtalip Dede4 min readkprompt on AWS: EKS day-2 with BYOK, without a new control plane
Use kprompt against Amazon EKS the same way you use kubectl — update-kubeconfig, aliases, plan-before-apply — plus Ollama or cloud BYOK. Optional Observe agent on the cluster; no Marketplace SaaS, no kubeconfig upload. Native Bedrock preset still deferred.
Muhtalip Dede3 min readkagent alternatives in 2026: when you want PlanResult ops instead of an agent platform
Looking for a kagent alternative? Map by job: kprompt for plan-before-apply day-2 + Observe notify, kubectl-ai for NL kubectl REPL, K8sGPT for diagnosis, ARK for agent apps as CRDs — plus when to keep CNCF kagent.
Muhtalip Dede4 min readkprompt vs agentgateway: PlanResult ops CLI vs AI/MCP agent gateway
agentgateway (Linux Foundation) is an AI-native proxy for LLM, MCP, and A2A traffic on Gateway API. kprompt is an AI Runtime for cluster ops: PlanResult → approve, plus Observe notify. Is kprompt an agentgateway alternative? Only for the ops job — decision guide.
Muhtalip Dede3 min readagentgateway alternatives in 2026: when you want PlanResult ops instead of an AI gateway
Looking for an agentgateway alternative? Map by job: kprompt for plan-before-apply day-2 + Observe notify, other AI/MCP gateways for LLM traffic policy, kagent for Agents-as-CRDs — plus when to keep Linux Foundation agentgateway.
Muhtalip Dede4 min readkprompt on Azure: AKS day-2 with Azure OpenAI, without a new control plane
Use kprompt against Azure Kubernetes Service the same way you use kubectl — az aks get-credentials, aliases, plan-before-apply — plus Azure OpenAI BYOK or Ollama. Optional Observe agent on the cluster; no Marketplace SaaS, no kubeconfig upload.
Muhtalip Dede4 min readAI Runtime vs AI Gateway vs Agent Platform — kprompt, agentgateway, and kagent
Three Kubernetes AI layers that share vocabulary and confuse buyers: AI Runtime (kprompt PlanResult ops), AI Gateway (agentgateway LLM/MCP/A2A data plane), Agent Platform (kagent Agents-as-CRDs). One hub, honest jobs, deep links.
Muhtalip Dede3 min readkprompt + Prometheus: why is my api slow — without inventing numbers
Day-2 Prometheus with kprompt: bind an existing Prom URL, read-only performance explain (CPU, memory, p95, HPA), optimize idle/rightsizing, and fail clear when metrics are missing. Not a PromQL IDE and not auto-remediation.
Emire Barış3 min readKubernetes labels and selectors explained (the glue between objects)
Labels and selectors in Kubernetes: how Deployments label Pods, how Services find them, kubectl -l and endpoints checks, common mistakes, and optional kprompt examples.
Muhtalip Dede7 min readTop 100 Kubernetes prompts (natural language ↔ kubectl)
A tagged hub of ~100 real Kubernetes ops prompts—Operations, Debug, GitOps, Observability, Security, and Multi-cluster—each with a kubectl or tooling note, linked to our cheat sheet, error playbook, and edge-case guide.
Muhtalip Dede3 min readkprompt + Helm deep dive: install, upgrade, dry-run, and wipe denies
Day-2 Helm with kprompt: real helm install/upgrade plans, template and client dry-run previews, Bitnami recipes, and hard denies for uninstall-all — without replacing Helm or GitOps.
Muhtalip Dede4 min readkprompt as an MCP tool provider — plan-gated ops from your editor
kprompt mcp serve exposes read and plan tools to Cursor, Claude Desktop, and other IDE assistants over stdio. Mutations return a PlanResult and never auto-apply. IDE interop, not an agent platform.
Muhtalip Dede2 min readBrownfield kprompt in 15 minutes — adopt without rebuilding the stack
Starting from zero with kind is easy. The real challenge is attaching kprompt to a cluster you already run: bind existing Prometheus, read-first insight, optional MCP — install last.
Emire Barış2 min readKubernetes Service vs Deployment: roles, not rivals
Service vs Deployment in Kubernetes: Deployments run and update Pods; Services give those Pods a stable network identity. When you need each, how they connect via labels, and kubectl checks that stick.
Emire Barış3 min readWhat is a Kubernetes Service? A beginner guide to stable networking
Why Pod IPs are not enough, what a Service does, ClusterIP vs NodePort vs LoadBalancer, selectors and Endpoints, kubectl commands, and optional natural-language checks with kprompt.
Emire Barış4 min readKubernetes Pods vs Deployments: what beginners actually need to know
A plain guide to Pods and Deployments — what each one is, how they relate, kubectl commands that stick, common beginner mistakes, and optional natural-language checks with kprompt.
Emire Barış1 min readkubectl get pods explained: STATUS, restarts, and next commands
How to read kubectl get pods output — READY, STATUS, RESTARTS, AGE — what CrashLoopBackOff and Pending mean, and which kubectl command to run next.
Emire Barış2 min readWhat is a Deployment in Kubernetes? (with kubectl examples)
What a Kubernetes Deployment is, how it manages Pods and ReplicaSets, kubectl get/describe/rollout commands, common beginner mistakes, and optional natural-language checks with kprompt.
Muhtalip Dede3 min readBuilding AI SRE in Public #10: Autonomous SRE — and why not yet
Why unsupervised auto-remediation is not the destination. Observe by default, Autopilot propose-only, reality anchors, and investigate → plan → approve → verify as the load-bearing loop — not a fleet of agents that apply because the model sounded sure.
Muhtalip Dede2 min readBuilding AI SRE in Public #9: Knowledge Graph
Read-only service topology as typed nodes/edges — Ingress, PVC, Secret/ConfigMap names, reverse impact — not a Secret CMDB or chat “who depends on what” folklore. Honest degraded when OTel/mesh are missing.
Muhtalip Dede3 min readBuilding AI SRE in Public #8: Cluster Memory
Namespace dependency facts that bias Observe without becoming root-cause proof. Local or in-cluster stores — never cloud dumps as fake authority — with AG-034 confidence caps.
Muhtalip Dede3 min readBuilding AI SRE in Public #7: AI Timeline
Incident chronology as typed EvidenceRef[], not chat folklore. Events, rollout revisions, and HPA in one Investigation artifact — with honest degraded[] when Prom/OTel/mesh are missing.
Muhtalip Dede4 min readBuilding AI SRE in Public #6: Investigation Graph
Chat is a line; ops is a gated graph. Fan-out where edges are real, independent verify (not same-session soft-agree), PlanResult → approve → verify — without becoming a free-form agent fleet.
Muhtalip Dede10 min readKubernetes AI tools: K8sGPT, kubectl-ai, Kagent, and plan-before-apply CLIs
Map of Kubernetes AI / k8s AI tools by job: K8sGPT (and Kubegpt-style searches) for diagnosis, kubectl-ai and kprompt for NL CLIs, Kagent for in-cluster agents — honest mutation contracts included.
Muhtalip Dede4 min readKubectl alternatives in 2026: K9s, Kubernetes dashboards, and AI CLIs compared
Compare kubectl alternatives: K9s terminal UI, Headlamp and Lens dashboards, and natural-language Kubernetes CLIs. Which interface fits navigation, visual management, troubleshooting, and plan-before-apply operations.
Muhtalip Dede5 min readkubectl vs K9s: differences, when to use each, and why you need both
kubectl vs K9s (and k9s vs kubectl): kubectl is the scriptable API client; K9s is a live terminal UI over the same API. When to use each in incidents, CI, and day-2 ops — plus where AI CLIs fit.
Muhtalip Dede3 min readWhat is Kubernetes AI? Tools, jobs, and what “AI for K8s” actually means
A plain-language map of Kubernetes AI: analyzers like K8sGPT, intent CLIs like kubectl-ai and kprompt, in-cluster agents, and what belongs in CI vs on your laptop — for searches like kubernetes ai, k8s ai, and k8s ai tools.
Muhtalip Dede2 min readBest AI tools for Kubernetes troubleshooting (2026)
Practical shortlist of AI tools for Kubernetes troubleshooting: K8sGPT for scans, intent CLIs for explain/plan, kubectl for evidence — with an honest mutation checklist.
Muhtalip Dede1 min readChat with your Kubernetes cluster: what actually works safely
What “chat with your Kubernetes cluster” means in practice: local NL CLIs, hosted consoles, and analyzers — and how to keep credentials and apply behind a human gate.
Muhtalip Dede2 min readAI for Kubernetes Pods: diagnose CrashLoop without silent apply
How to use AI on Kubernetes Pods safely: explain CrashLoopBackOff and ImagePullBackOff with kubectl, K8sGPT, or an intent CLI — without piping model output straight into apply.
Muhtalip Dede2 min readkubectl-ai alternatives in 2026: plan-before-apply CLIs and when to keep Google’s tool
Best kubectl-ai alternatives by job: kprompt for gated PlanResult, K8sGPT for diagnosis, Kagent for in-cluster agents — plus when kubectl-ai is still the right REPL.
Muhtalip Dede1 min readKubegpt vs K8sGPT: same search, different tools (and what to use)
People searching Kubegpt usually mean K8sGPT — the analyzer-first Kubernetes AI tool. How it differs from kubectl-ai and plan-before-apply CLIs, and when each job fits.
Muhtalip Dede2 min readK9s alternatives in 2026: kubectl, Lens, Headlamp, and AI CLIs
Best K9s alternatives by job: stick with kubectl for scripts, Lens or Headlamp for visual multi-cluster, or a plan-before-apply AI CLI when intent is the bottleneck — not the TUI.
Muhtalip Dede1 min readK9s vs Kubernetes (k8s): what people mix up — and the real comparison
k9s vs k8s is usually a category mistake: Kubernetes is the platform, K9s is a terminal UI for it. Clear the confusion, then see kubectl vs K9s and K9s alternatives.
Emire Barış2 min readKubernetes Namespaces explained: isolation for beginners
What a Namespace is, why teams use dev/staging/prod separation, the default namespace trap, kubectl -n commands, common mistakes, and optional kprompt examples.
Muhtalip Dede4 min readkprompt vs ARK: AI Runtime that operates the cluster vs Agentic Runtime that hosts agents
McKinsey’s ARK is an Agentic Runtime for Kubernetes — CRDs to run agent apps on the cluster. kprompt is an AI Runtime that reasons about the cluster under plan → approve. Same word “runtime,” different jobs. Decision guide.
Muhtalip Dede4 min readThe AI Runtime for Kubernetes — not another AI wrapper
Why kprompt’s category is an AI Runtime for Kubernetes: observe, reason, plan, approve, execute, learn — not a ChatGPT wrapper, chatbot, or silent auto-healer. Honest shipped vs building.
Muhtalip Dede4 min readPrompt engineering is dead. Context engineering begins
For Kubernetes AI, clever prompts lose to curated context: live cluster facts, tool detection, local history, and a typed PlanResult. Why the next leap is what you feed the model — not how you word the sentence.
Muhtalip Dede3 min readBuilding AI SRE in Public #5: Multi-context
AI SRE across kubeconfig contexts: single-context default, explicit read fan-out, per-context mutate approval, aliases, and why we refuse silent fleet --approve or uploading cluster credentials.
Muhtalip Dede3 min readkprompt vs kubectl-ai: same NL CLI lane, different mutate contract
Both turn English into Kubernetes actions on your laptop. kubectl-ai optimizes for kubectl fluency and agentic chat; kprompt compiles intent into a gated PlanResult — plan, safety, approve — then apply. Decision guide for operators choosing an AI Kubernetes CLI.
Muhtalip Dede5 min readKubernetes CrashLoopBackOff: how to read it, find the cause, and fix it
CrashLoopBackOff is a symptom, not a cause. How the restart backoff works, what exit codes tell you, the kubectl ladder for finding the real failure, and how to apply a bounded fix you actually reviewed.
Muhtalip Dede3 min readKubernetes ImagePullBackOff: how to read ErrImagePull and fix the image reference
ImagePullBackOff means the container never started. How ErrImagePull differs from CrashLoopBackOff, what Events tell you, common causes (bad tag, private registry, rate limit), and how to fix it without guessing.
Muhtalip Dede2 min readBuilding AI SRE in Public #4: Safety Engine
Policy is code, not LLM vibes. How kprompt’s safety engine hard-denies wipe-class intents, scores risk, forces approval, and why fail-closed is the load-bearing wall of AI SRE.
Muhtalip Dede3 min readBuilding AI SRE in Public #3: PlanResult
PlanResult is the IR of AI SRE: one typed document for humans and CI. Why JSON, what applied means vs verify, how blastRadius attaches, what never gets stored, and how investigate/why must extend the same artifact.
Muhtalip Dede3 min readBuilding AI SRE in Public #2: Intent Compiler
Kubernetes deserves a compiler, not a chatbot. How kprompt turns natural language into Intent → Actions → PlanResult, why Go owns planning and safety, and why the IR must stay reviewable for AI SRE.
Muhtalip Dede3 min readBuilding AI SRE in Public #1: Why AI SRE
AI kubectl is not enough. Production needs investigate, why, blast radius, and verify — still behind an approval boundary. Why the AI SRE category exists, what failed in classic AIOps, and what we ship first.
Muhtalip Dede2 min readBuilding AI SRE in Public
A long-form series on building an AI SRE under an approval boundary — intent compiler, PlanResult, safety, multi-context, investigation, and why we refuse unsupervised auto-remediation. Episode index and honesty rules.
Muhtalip Dede3 min readPlanResult JSON deep dive: fields, risk, jq recipes, and what is never stored
Schema-focused companion to CI plan gates: apiVersion, plan.actions, risk.denied, result payloads, RouteResult / MultiContextResult, history vs CI artifacts, and hard rules on manifests and API keys.
Muhtalip Dede2 min readoptimize my cluster: idle workloads, rightsizing, and HPA hints — without auto-apply
How kprompt’s shipped optimize report works: inventory, Prometheus-backed idle and rightsizing findings, HPA hints, JSON output, and optional follow-up scale/patch plans that still require their own approval. What it is not.
Muhtalip Dede3 min readBeyond AI kubectl: why kprompt is aiming at AI SRE
Natural language → plan → approve is the wedge. The differentiator is thinking about the cluster — investigate, why, timeline, blast radius, verify — still under the same approval contract. Honest shipped vs building vs exploring.
Muhtalip Dede4 min readHelm vs kubectl for day-2: when charts win, when raw apply wins
A practical decision guide for Helm charts versus kubectl apply on day-2 Kubernetes ops — plus how kprompt maps install/upgrade prompts to reviewable Helm plans without replacing Helm or GitOps.
Muhtalip Dede4 min readkprompt is an intent compiler, not a Kubernetes chat REPL
Why we compile natural language into a gated PlanResult instead of racing kubectl-ai on agentic chat — same NL CLI lane, different contract: typed plans, hard denies, CI JSON, multi-tool day-2 under one approval loop.
Muhtalip Dede3 min readkubectl cheat sheet with natural-language equivalents (kprompt)
A practical kubectl cheat sheet paired with natural-language prompts — get, list, describe, logs, scale, rollback, delete, explain, Helm, and JSON CI — for operators who know the API and want faster day-2 typing.
Muhtalip Dede6 min readKubernetes edge-case prompts: what should fail closed, what needs a second look
Edge-case prompt scenarios for Kubernetes AI CLIs — wipe jokes, unscoped deletes, ambiguous resource names, missing tools, secrets reads, scale-to-zero, and --approve traps — with what kprompt does today.
Muhtalip Dede5 min readReal Kubernetes error prompts: crash loops, OOM, ImagePull, denies, and slow APIs
A playbook of real incident prompts for Kubernetes — what to type when pods crash, images fail to pull, memory kills, wipe-class mistakes, RBAC denials, and latency spikes — with kprompt examples that stay plan-before-apply.
Muhtalip Dede4 min readKubernetes OOMKilled: how to detect memory kills, raise limits, and avoid guesswork
A practical guide to OOMKilled in Kubernetes — exit 137, Last State, memory requests vs limits, kubectl checks, and how kprompt explain can suggest a reviewable memory patch.
Muhtalip Dede4 min readKubernetes safety with AI: plan, approve, hard denies, and production discipline
Why natural-language Kubernetes tools need plan-before-apply, risk scoring, and hard denies — with real kprompt examples for scale, rollback, and blocked wipe prompts.
Muhtalip Dede5 min readChoosing an LLM for Kubernetes: BYOK providers, privacy, and what to run in prod
Compare Gemini, OpenAI, Anthropic, Groq, and Ollama for Kubernetes CLI workflows with kprompt — BYOK keys, air-gapped setups, model speed vs explain quality, and security rules for operators.
Muhtalip Dede4 min readKubernetes in CI/CD: gating cluster changes with plan JSON before apply
How to use kprompt PlanResult JSON in CI/CD pipelines to review Kubernetes scale, deploy, and rollback plans before apply — with jq gates, GitHub Actions patterns, and production safety rules.
Muhtalip Dede4 min readHow to troubleshoot Kubernetes: deployments, pods, and crash loops from the terminal
A practical guide to Kubernetes troubleshooting — CrashLoopBackOff, deployments not ready, image pull errors, and rollbacks — using kubectl workflows and natural-language explains with kprompt.
Muhtalip Dede6 min readKubernetes meets AI: what works, what breaks, and what's next
Large language models change how operators talk to clusters — but they don't replace kube-apiserver truth. A practical map of AI + Kubernetes: use cases, failure modes, and why plan-before-apply matters.