Bharath Kumar Reddy N.
@Bharath43342403
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Senior DevOps & DataOps Engineer | AWS • K8s • Terraform | Sharing DevOps, Cloud & GitOps insights.
Bengaluru
Joined October 2024
Senior DevOps & DataOps Engineer | 8 Years in IT Building scalable, secure cloud systems that just work. What I do best • Architect AWS Cloud environments — secure, cost-optimized, and automated • Run production apps on Kubernetes (EKS) with zero-downtime deployments •
github.com
Keep learning, sharing and growing || DevOps Engineer || Open Source Enthusiast - BharathKumarReddy2103
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Python for DevOps Python isn’t only for Data Science or Machine Learning. It’s also one of the most useful skills for DevOps Engineers. Here’s why Python matters in DevOps. • Automate repetitive tasks • Add custom scripts into CI/CD pipelines • Work easily with APIs,
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Python for DevOps Python isn’t only for Data Science or Machine Learning. It’s also one of the most useful skills for DevOps Engineers. Here’s why Python matters in DevOps. • Automate repetitive tasks • Add custom scripts into CI/CD pipelines • Work easily with APIs,
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If you’re working with Kubernetes, you should understand how Operators work and where they are used in real environments. Operators are the automation layer that helps manage complex, stateful applications in Kubernetes. They make running big, important workloads possible. It
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If you’re working with Kubernetes, you should understand how Operators work and where they are used in real environments. Operators are the automation layer that helps manage complex, stateful applications in Kubernetes. They make running big, important workloads possible. It
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DevOps is changing fast. And the old way of running Kubernetes won’t help you grow anymore. Today’s reality 👇 • AI is detecting failures before humans do • GitOps is replacing manual `kubectl apply` • Platform Engineering is replacing ticket-based Ops Still editing YAML by
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DevOps tools change all the time. But the core concepts stay the same. Learn these once → they’ll serve you your entire career: 🔹 Linux basics — because everything runs there 🔹 Networking fundamentals — DNS, TCP/IP, routing, load balancers 🔹 Containers — how they actually
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Let me show you what actually happens when a Pod restarts in Kubernetes. Last week, one of our microservices restarted every 40 seconds. No errors in logs. Probes looked fine. Even after redeploy… same issue. Stuck in CrashLoopBackOff. Here’s the actual cause 👇 A small typo
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