Kubernetes Helm Chart & ArgoCD GitOps Production Infrastructure Architect
Transforms Claude into a Principal Site Reliability Engineer (SRE) generating complete production Helm chart hierarchies, ArgoCD Application manifests, sealed secrets, and resource quota topologies.
Parametric Customizer & Compiler Live Tool
Adjust the variables below. The prompt code and API payload update dynamically in real time.
Defines pod lifecycle and networking characteristics.
Configures reverse proxy and TLS certificate management.
Determines scaling trigger metrics.
# KUBERNETES & ARGOCD GITOPS SRE ARCHITECT You are a Principal Cloud Infrastructure Architect specializing in Kubernetes (EKS/GKE), Helm v3, and ArgoCD GitOps deployment pipelines. ### DEPLOYMENT SPECIFICATIONS: - Workload Type: High-Throughput Node.js / Go REST Microservice with Redis Cache - Ingress & TLS: Traefik v3 with Let's Encrypt Cert-Manager & Cloudflare DNS01 - Autoscaling Strategy: HPA v2 (CPU 70% + Memory 80% + Custom Prometheus RPS metric) ### MANDATORY SRE PRODUCTION STANDARDS: 1. **Explicit Resource Limits & Requests**: Every container MUST declare distinct `requests` (CPU/Memory based on baseline profiling) and `limits` (preventing OOMKilled evictions of co-located pods). 2. **Zero-Downtime Rolling Update Specs**: - Configure `readinessProbe` (HTTP health check with failureThreshold: 3) and `livenessProbe`. - Set `strategy.rollingUpdate.maxSurge: 25%` and `maxUnavailable: 0`. 3. **Topology Spread & Anti-Affinity**: Prevent single-node outage by spreading pods across availability zones using `topologySpreadConstraints` (topologyKey: `topology.kubernetes.io/zone`). 4. **ArgoCD Application CRD**: Provide complete `Application` manifest pointing to target git repo, with automated prune and self-heal sync policies. 5. **Security Context**: Enforce `readOnlyRootFilesystem: true`, `runAsNonRoot: true`, and `drop: ["ALL"]` capabilities. ### OUTPUT STRUCTURE: Output modular, linted Helm `values.yaml`, `deployment.yaml`, `service.yaml`, and `argocd-app.yaml`.
Global edge security and network routing for Kubernetes clusters.
Leonardo Phoenix & Flux: Generate photorealistic studio assets with 150 daily free credits. Zero setup required.
π 3-Step Production Execution Blueprint
How senior engineers and top creators calibrate, customize, and verify this prompt formula in production.
Target Engine Calibration
Drop this prompt into your project root as `.cursorrules` or load it into Claude 3.5 Sonnet / DeepSeek-R1 system instructions.
Dynamic Parameterization
Adjust the dynamic variables (framework, database, and client state) to match your active codebase architecture.
Sanity & Boundary Check
Run a verification query asking the model to declare its architectural constraints before it generates the first line of code.
βοΈ Recommended API Hyperparameter Calibration
Verified 2026 SettingsCALIBRATION INSIGHT: Low temperature ensures deterministic syntax, accurate AST parsing, and zero hallucinated API methods.
πΈ Real Sample Outputs & Verified Results
Visual evidence and benchmark responses generated using this exact prompt formula.
π¬ Prompt Engineering Anatomy
Why this prompt consistently delivers high-tier results: technical parameter breakdown.
Zero Unavailable Rolling Update Setting maxUnavailable to 0 ensures new pods are completely healthy before terminating old pods, preventing dropped client connections.
Topology Spread Constraints Guarantees Kubernetes distributes replicas evenly across distinct AWS/GCP data centers, surviving regional node disruptions.
β οΈ Critical Anti-Patterns & Execution Traps
The top 3 engineering mistakes to avoid when deploying this category of prompt into production.
Context Window Flooding
Pasting 50 unminified files into the prompt degrades attention, causing the LLM to ignore core TypeScript rules.
Missing Delimiter Isolation
Letting user instructions mix directly with system rules triggers instruction drift and hallucinations.
Over-Relying on Outdated Paradigms
Allowing the model to use deprecated React 18 patterns (e.g. useEffect for data fetching) creates security vulnerabilities.
π¬ Frequently Asked Questions
Troubleshooting common edge cases, model incompatibilities, and best practices.
Can this be used for multi-cluster ArgoCD setups?
Yes, specify destination.server with the target Kubernetes cluster API endpoint.
π οΈ Recommended Companion Micro-Tools
Complementary client-side tools designed to test, sanitize, or choreograph outputs from this prompt.
Vibe Coding Prompt Architect (.cursorrules Studio)
Generate production-grade .cursorrules, .windsurfrules, and CLAUDE.md for Next.js 15, FastAPI, and Go with zero-hallucination guardrails.
Launch Tool β‘System Prompt Security Auditor & Jailbreak Scanner
Scan LLM instructions for prompt injection, persona hijacking, and instruction leaks. Score defense 0-100 and auto-harden in 0ms.
Launch Tool β‘Token & API Cost Calculator
Calculate live token counts & cost comparisons across GPT-4o, Claude 3.5, and DeepSeek-R1 with prompt caching discounts.
Launch Tool β‘Cursor AI & Claude 3.5 Sonnet Pro Bundle
Supercharge your workflow with instant codebase indexing, multi-file edits, and automated system rules.
Explore Related DevOps & Cloud Infrastructure Prompts View all β
Claude 3.5 Sonnet Senior Staff Full-Stack Refactoring Architect
Specialized prompt framework for Claude 3.5 Sonnet and Claude 3.7. Transforms messy legacy codebases into modular, testable, high-performance systems with automated regression tests.
cursorCursor AI (.cursorrules) for Next.js 15, React 19 & Tailwind CSS
Stops Cursor from writing outdated Next.js 13 patterns, Pages Router syntax, or deprecated React hooks. Enforces strict TypeScript, Server Actions, and modular clean architecture.
deepseekDeepSeek-R1 Autonomous Deep Research & Synthesis Engine
DeepSeek-R1 chain-of-thought framework designed to force deep reflection, counterfactual auditing, and hypothesis testing before producing production-ready research reports.