DevOps Freelancer

  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 #InfrastructureAsCode #DevOps #SRE #PlatformEngineering #AW...

 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 #DevOps #CloudEngineering #SRE #AWS #Azure #GCP #CICD #PlatformEngineering

 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 #PlatformEngineering #SRE #InfrastructureAsCode

 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-bulkheads/ #ReliabilityEngineering #SRE #DevOps #Distribut...

DevOps Salaries in 2026: Stop Guessing, Start Benchmarking DevOps compensation is confusing because the title is overloaded. In one company, "DevOps" means maintaining CI/CD pipelines and managing a few Kubernetes namespaces. In another, it means owning reliability, release safety, cloud spend, incident response, security automation, and platform strategy. Same title, completely different value—and that's why you need a structured benchmark like this DevOps salary resource to compare yourself correctly. What a good salary benchmark helps you do A practical salary guide should help you answer real questions: Am I underpaid for my level and scope , not just my title? What's the real range (low–mid–high), not just an "average" number? How do salaries shift by country, city, remote policy, and industry ? Which adjacent roles (SRE, Platform, DevSecOps, Cloud) are trending higher? The goal isn't to chase random numbers. The goal is to understand the market a...