LearnDevOps

If you’re adopting GitOps (or struggling to scale it), this article breaks down  Argo CD vs Flux  in plain engineering terms and then goes deeper into the  patterns that work in real teams —and the  anti-patterns  that quietly create drift, outages, and “GitOps theater.” GitOps isn’t just “deploy from Git.” It’s a discipline: ✅  Declare everything  (apps + infra) as code in Git ✅  Automate reconciliation  so the cluster matches desired state ✅  Use safe promotion paths  (dev → staging → prod) with approvals ✅  Avoid common traps  (manual kubectl changes, shared namespaces, messy repo layouts, unreviewed hotfixes) Read here: https://www.cloudopsnow.in/gitops-explained-argo-cd-vs-flux-patterns-and-anti-patterns/ #GitOps #ArgoCD #Flux #Kubernetes #DevOps #SRE #PlatformEngineering #CloudNative #CI_CD #InfrastructureAsCode

  If you’re choosing an Infrastructure-as-Code tool and tired of marketing comparisons, this guide breaks it down in an engineer-first way—showing when  Terraform vs CloudFormation vs Pulumi  fits best, based on team skills, scale, governance needs, and day-to-day workflows (with practical decision criteria, not theory). Most teams don’t fail at IaC because the tool is “bad.” They fail because the tool doesn’t match how the team builds, reviews, secures, and operates infrastructure. ✅  Terraform  → best for multi-cloud + strong ecosystem + reusable modules ✅  CloudFormation  → best for AWS-native teams that want tight AWS integration + guardrails ✅  Pulumi  → best for dev-heavy teams that want IaC in real programming languages + shared app/platform patterns Read here: https://www.cloudopsnow.in/terraform-vs-cloudformation-vs-pulumi-which-fits-which-team-the-practical-engineer-first-guide/ #Terraform #CloudFormation #Pulumi #IaC #Infrastructur...

  If you’re an engineer using Terraform in a team (or CI/CD) and you’ve ever worried about  state corruption, drift, locking issues, or “who changed what” , this guide is built as a practical survival manual. It covers  remote state, state locking, drift detection, safe recovery, and real-world workflows  so you can operate Terraform confidently in production. Terraform becomes safe and scalable when you treat  state  like a first-class system: ✅  Remote State  → store state centrally (not on laptops) so teams and pipelines stay consistent ✅  Locking  → prevent concurrent applies that can corrupt infrastructure ✅  Drift  → detect when real infra diverges from code (and fix it safely) ✅  Recovery  → handle lost/invalid state, rollbacks, imports, and “bad apply” scenarios Read here: https://www.cloudopsnow.in/terraform-state-management-remote-state-locking-drift-recovery-the-engineers-survival-guide/ #Terraform #IaC #De...

  If you’re starting with Terraform (or you’ve used it but still feel shaky on “modules vs state vs workspaces”), this guide is a clean, engineer-friendly walkthrough that explains the fundamentals  with real examples —and shows how to build Terraform in a maintainable, production-ready way. Terraform becomes easy when you follow a simple path: ✅  Core concepts  → providers, resources, variables, outputs (and how plans really work) ✅  Modules  → reuse infrastructure like “packages” (structure, inputs/outputs, versioning) ✅  State  → why remote state matters, locking, drift, and safe workflows ✅  Workspaces  → when to use them (and when not to) for env separation ✅  Best practices  → naming, folder layout, secrets handling, CI/CD, linting/testing, and guardrails Read here: https://www.cloudopsnow.in/terraform-for-beginners-modules-state-workspaces-best-practices-with-real-examples/ #Terraform #IaC #DevOps #Cloud #AWS #Azure #GCP...

  If you build or operate production systems, this article is a practical, engineer-friendly guide to the  reliability patterns that keep services alive under real-world failures —with clear explanations of  retries, timeouts, circuit breakers, and bulkheads , plus how to apply them without causing retry storms, cascading failures, or hidden latency spikes. Most outages don’t start as “big failures.” They start as small slowdowns that cascade. These patterns help you stop the cascade: ✅  Retries  → only when safe (use backoff + jitter, retry budgets, and idempotency) ✅  Timeouts  → set strict limits (no infinite waits; align client/server timeouts) ✅  Circuit Breakers  → fail fast when dependencies degrade (protect latency + threads) ✅  Bulkheads  → isolate blast radius (separate pools/queues per dependency or tier) Read here: https://www.cloudopsnow.in/reliability-patterns-that-keep-systems-alive-retries-timeouts-circuit-breakers-b...

Breaking the Glass Ceiling: How DevOps Specialization is Redefining "High Pay" in 2026 The "DevOps" job title used to be a catch-all, but in 2026, the market has matured into a sophisticated hierarchy of specializations. If you feel like your compensation has hit a plateau, it's likely because the industry is moving away from generalists and toward "Deep-Tech" experts. For those tracking their market value, the latest benchmarks from the Best DevOps Salary guide reveal a striking trend: the gap between a standard DevOps engineer and a specialized Platform or Security engineer has widened to nearly 30%. The 2026 Salary Breakdown by Role While base salaries are healthy, the real movement is happening in total compensation (TC), which includes equity, performance bonuses, and remote-work premiums. Role US Base (Mid-Senior) Total Compensation (Tech Hubs) DevOps Engineer $135k – $180k $220k – $350k Platform Engineer $145k – $195k $250k – $400k DevSecOps Ar...