Most engineers approach DevOps by trying to learn as many tools as possible. And that’s exactly where they get stuck. The ecosystem keeps expanding new tools, new platforms, new workflows. It creates the illusion that you’re always behind. But in reality, high-performing engineers don’t focus on tools. They focus on systems. If you break DevOps down, it comes to a few core layers: • Infrastructure (Terraform, Cloud) • Containers (Docker) • Pipelines (CI/CD) • Observability (Monitoring & alerts) Once you understand these, tools become interchangeable. The real skill is not knowing more tools. It’s knowing how everything connects. If you’re building your DevOps roadmap for 2026, start here. https://lnkd.in/gbtG7iv9 #CloudOpsnetwork #cloud #DevOpstools
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What does Terraform actually do? Instead of manually creating cloud resources, Terraform lets you define infrastructure using code. Example: Write code → Terraform → Creates EC2, VPC, databases automatically. Benefits: • Repeatable infrastructure • Version control • Less manual errors Infrastructure as Code changed how DevOps teams work. #Terraform #DevOps #Cloud
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🚀 Elevate Your Cloud Infrastructure with Terraform + Azure 🚀 In today’s fast-paced cloud world, manual provisioning is no longer enough. With T𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗮𝗻𝗱 𝗔𝘇𝘂𝗿𝗲𝗥𝗠 𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗿, you can bring true automation and consistency to your infrastructure: 🔹 Seamlessly provision Azure resources 🔹 Automate deployments with Infrastructure as Code 🔹 Leverage reusable modules from Terraform Registry 🔹 Ensure scalability, reliability, and efficiency ��� 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲? Faster deployments. Fewer errors. Complete control. If you're serious about DevOps and cloud engineering, this is a game-changer. ✨ Build smarter. Deploy faster. Scale better. Learning With DevOps Insiders Aman Gupta #CloudComputing #DevOps #Terraform #Azure #IaC
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DevOps and FinOps share a common goal: keeping cloud spending under control while maintaining high performance. Shifting FinOps strategies left helps teams work together to prevent waste, maximize efficiency, and build a culture of collaborative optimization. Read guide: https://stwb.co/eeapehl
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Terraform isn’t just a tool—it’s a smarter way to manage infrastructure. With declarative configuration, you define what you need, and Terraform takes care of the rest. The execution plan lets you preview changes, while state management ensures consistency and control. Its cloud-agnostic approach works seamlessly across Azure, AWS, and GCP. And when integrated with CI/CD, it enables fast, reliable, and fully automated deployments. 📌 Result: Faster deployments Fewer manual errors Better collaboration Version-controlled infrastructure Simple, scalable, and reliable—that’s the power of Terraform. #Terraform #DevOps #IaC #Cloud #Automation #CICD
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Kubernetes v1.36 Highlights Here’s a quick summary of Kubernetes v1.36 key highlights: • HPA scaling to zero • Ephemeral image pull tokens • kube-proxy IPVS deprecation • faster scheduler • Gateway API momentum • improved support for AI workloads These changes continue the trend of Kubernetes becoming: • more secure • more scalable • more cost-efficient • better suited for modern cloud workloads If you're running production clusters, it’s worth reviewing these features early. #Kubernetes #DevOps #CloudNative #k8s #KubernetesRelease #PlatformEngineering
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A simple way to understand how Kubernetes components connect: Step 1 — You define a Deployment • Desired number of Pods Step 2 — Kubernetes creates Pods • Containers start running Step 3 — Service exposes the Pods • Stable network access Step 4 — Traffic is routed • kube-proxy handles networking Step 5 — Self-healing kicks in • Failed Pods are recreated Flow: Deployment → Pods → Service → Users Kubernetes handles scaling, recovery, and networking automatically. Understanding this flow makes debugging much easier. #Devops #Cloud #kubernetes #tech
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I started a focused program to build Cloud / DevOps capability through real systems. Instead of just studying, I’m structuring this around production-style architectures: • AWS (VPC, ALB, Auto Scaling) • Docker (containerized deployment) • CI/CD (GitHub Actions) • Terraform (Infrastructure as Code) • Monitoring (CloudWatch) The goal is not just to learn tools, but to design, deploy, and operate systems end-to-end. 3 weeks in — challenging, but starting to see how these components work together in practice. I’ll be sharing builds, failures, and what actually works. If you’re working in cloud/devops, I’d appreciate any feedback or insights. #CloudComputing #DevOps #AWS #LearningInPublic
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Just found a funny meme video that explains Terraform in the cloud world. Many people think infrastructure setup is easy… but DevOps engineers know the real struggle. That’s why tools like Terraform make life much easier by managing infrastructure with code. For learning look at this repo :- https://lnkd.in/dPjaGWxP Sharing this for anyone in DevOps / Cloud who will definitely relate to it. #Terraform #DevOps #Cloud #InfrastructureAsCode #TechHumor
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