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ArgoCD & GitOps

⬢ TIER 2Tech
High
Salary impact
7 months
Time to learn
Medium
Difficulty
12
Careers
TL;DR

Argo CD is the CNCF-graduated GitOps tool for declarative Kubernetes deployments using Git as single source of truth. Code scales from 1 app to 1000s across multiple clusters (ApplicationSets, sync waves, progressive delivery via Argo Rollouts). Career path: Operator (basic sync, health checks, $120-150k) → Engineer (multi-env orchestration, App of Apps, RBAC, $150-190k) → Architect (multi-tenant, canary/blue-green, drift detection at scale, $190-250k+) over 6-8 months. Lives next to Kubernetes, Helm, Kustomize, Flux, Vault, and CI/CD pipelines (GitHub Actions, GitLab CI).

What is ArgoCD & GitOps

Declarative continuous delivery for Kubernetes using Git as the single source of truth. Automate deployments, rollbacks, and multi-cluster management. CNCF graduated project. Learning Curve: Medium (Kubernetes + Git workflows)

🔧 TOOLS & ECOSYSTEM
Argo CDArgo RolloutsArgo WorkflowsArgo EventsFlux CDHelmKustomizeKuberneteskubectlKyvernoCiliumVault

💰 Salary by region

RegionJuniorMidSenior
USA$125k$165k$225k
UK£75k£100k£145k
EU€80k€110k€155k
CANADAC$130kC$170kC$235k

❓ FAQ

Argo CD vs Flux CD — which GitOps tool should I choose?
Argo CD: web UI, stronger visualization, larger community, steeper learning curve, better for teams new to GitOps. Flux CD: lightweight, YAML-native, Git-first philosophy, faster feedback loops, preferred by GitOps purists. For most enterprises: Argo CD. For minimal footprint clusters: Flux CD. Many teams run both for different workloads.
What are sync waves and why do they matter?
Sync waves allow you to control the order of resource creation in ArgoCD. Example: create namespaces (wave 0), then RBAC (wave 1), then applications (wave 2). Prevents race conditions where a pod tries to start before its configmap exists. Critical for multi-tier applications and database migrations.
How do I manage multiple clusters with Argo CD?
Three patterns: (1) Single Argo CD instance + registered clusters (simple, hub-spoke), (2) Argo CD per cluster (decentralized, GitOps per team), (3) ApplicationSets with cluster wildcards (monorepo, dynamic cluster discovery). ApplicationSets + monorepo = current best practice for 10+ clusters.
How does Argo CD detect and fix drift in production?
Argo CD periodically compares Git state (desired) vs cluster state (actual). If drift detected: yellow/orange status. Auto-sync = instantly reconcile (dangerous). Manual sync = review changes first (safer). For production: manual sync + PR approval. For dev: auto-sync.
Declarative vs imperative — why is Argo CD declarative?
Declarative: you declare desired state in Git, Argo CD converges cluster to match. Imperative: you run kubectl commands. Declarative wins because: (1) Git history = audit trail, (2) anyone can review PRs before deploy, (3) disaster recovery is just 'git checkout', (4) teams don't fight over 'who deployed what'.
Argo Rollouts vs Argo CD — when do I need both?
Argo CD handles deployment automation. Argo Rollouts handles progressive delivery strategies (canary, blue-green, A/B testing). Use Argo CD to deploy Argo Rollouts manifests. Use Argo Rollouts to shift traffic gradually (10%→25%→100%) and auto-rollback on errors. Together: safe, auditable, gradual rollouts.
How do I secure secrets in GitOps workflows?
Never store plaintext secrets in Git. Use: (1) Sealed Secrets (encrypts in Git, decrypts in cluster), (2) External Secrets Operator (fetch from Vault/AWS Secrets), (3) Sops (encrypt secrets.yaml, decrypt at apply time), (4) Argo Vault plugin. Sealed Secrets + Argo CD = encrypted Git history.

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