Ashhh
@asmitwt
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My fear is that if I don’t have anyone who loves me around, I’ll end up like Kanye, Lil Peep, or Juice WRLD.
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It was a difficult phase for me because I couldn’t manage the relationship, and eventually I had to make a decision and block her. Speaking of blocking, let us understand how a firewall actually blocks traffic and prevents you from visiting the desired website you wanted to. So,
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Microservices without a service mesh is like running a city without traffic signals. Service mesh gives you: traffic management retries & timeouts mTLS security observability And the best part? App code almost untouched. Kubernetes samajh gaya? Ab service mesh seekhne ka time hai
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Service Mesh 101 (for devs who are secretly confused but nod in meetings): In simple words: Service mesh = a smart layer that sits between your services and the network. It: controls traffic adds security (mTLS) gives metrics & tracing All this without changing your app code
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Microservices banayi, k8s pe chadha di. Fir: traffic kahan jaa raha pata nahi logs 10 jagah TLS setup pe dimaag fry Yahi sab handle karne ko banta hai service mesh. Tu code likh, mesh tera network sambhalega. 😉
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If you’re doing microservices on Kubernetes without a service mesh, you’re basically doing ‘best of luck’ driven development.
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Microservices without a service mesh is like running a city without traffic signals. Service mesh gives you: traffic management retries & timeouts mTLS security observability And the best part? App code almost untouched. Kubernetes samajh gaya? Ab service mesh seekhne ka time hai
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Completed the mTLS part of ISTIO
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My roadmap from here: KIND → deploy a real app → migrate it to GKE → measure differences (networking, autoscaling, cost, etc.) If you’re getting into Kubernetes, start with KIND. Your brain — and your wallet — will love you for it.
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Important reality check: KIND is not for production. It’s built for local dev, testing, prototyping, and education. Master it → then step into GKE/EKS/AKS with confidence instead of fear.
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Why KIND is a cheat code for learning Kubernetes: Cluster up in seconds Zero cloud bill Perfect for CI/CD + debugging infra No risk of exposing anything publicly Works with kubectl 100% normally
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The mental model that changed everything for me : Laptop → Docker → KIND Cluster → Nodes → Pods → Containers → App Each Kubernetes node is literally a Docker container. Control plane + workers = containers. It behaves like a real cluster.
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Learning Kubernetes without blowing money on cloud infrastructure? Yeah, it’s possible — and honestly smarter. Meet KIND (Kubernetes IN Docker): a full K8s cluster that runs locally inside Docker.
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