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CI/CD β†’ Docker β†’ Kubernetes πŸš€ Modern software delivery in a nutshell. CI/CD automates testing and integration, Docker packages the application into containers, and Kubernetes deploys and manages thos
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Instagram post by @coding_with_pal
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Kafka doesn’t scale vertically… It scales horizontally ⚑ Partitions = Parallel processing Brokers = Distributed system That’s how Kafka processes millions of events/sec πŸš€ #kafka #apachekafka #syst
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Kafka vs Message Queue β€” they look similar… but they’re not the same πŸ‘€ Traditional message queues (like RabbitMQ, SQS) focus on sending and deleting messages πŸ“© πŸ‘‰ Once consumed β†’ message is gone Ka
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When one Kafka broker crashes… does your system go down too? πŸ€” Not if you understand replication. Kafka doesn’t rely on a single server β€” it duplicates data across multiple brokers. So even if one
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Part 3: gRPC πŸš€ In Part 1, we explored how REST APIs work. In Part 2, we saw how GraphQL gives flexible data fetching. Now let’s look at something different. gRPC is built for high-performance com
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Part 2: GraphQL πŸš€ In Part 1, we saw how REST works. Now let’s look at a different approach. Instead of multiple endpoints, GraphQL gives you one endpoint where you can ask for exactly the data you
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Part 1: Understanding REST APIs Most systems start with REST β€” simple, structured, and everywhere. But once your application grows, the limitations start to show. This is where things get interesti
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REST vs WebSockets β€” a fundamental concept in backend systems. REST works on a request-response model, where the client keeps asking the server for updates. WebSockets create a persistent connection
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From code to production in minutes βš™οΈ CI/CD automates testing, packaging with Docker, and deploying to Kubernetes so software can be released safely and quickly πŸš€ #devops #cicd #docker #kubernetes #
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AI models are powerful, but they don’t always know the right answer. If you send hundreds of pages of documents to a model, it becomes slow, expensive, and may even hallucinate. πŸ€– That’s where RAG
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Your notification service crashed… but orders still worked 🀯 That’s not magic β€” that’s Kafka βš™οΈπŸ“‘ Event-driven systems > tightly coupled systems. #kafka #apachekafka #systemdesign #microservices #ba
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About @coding_with_pal

Sourav Paul is a Instagram growing creator in the Education website category. With 229 followers and 12 posts, coding_with_pal's account shows a follower-to-following ratio of N/A:1. View all content anonymously on Pictame - no login required.

coding_with_pal's engagement rate sits at 3.71%. For accounts with 1K-10K followers, the average is around 5%, so there's some room to grow β€” though every community is unique.

Out of the last 12 posts, 100% are videos and 0% are photos. New posts appear roughly every 3 days β€” a steady, reliable rhythm. Captions lean detailed, averaging 524 characters.

3.71% engagement rate β€” room to grow compared to average for 1K-10K follower accounts.
New content every 3 days β€” a steady rhythm.

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coding_with_pal
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@coding_with_pal

Sourav Paul

PublicEducation website
Posts
12
Followers
229
Top Hashtags
#systemdesign#backenddevelopment#softwareengineering#kafka#apachekafka#restapi#graphql#DevOps

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Senior Software Engineer III (SDE3) Tech β€’ Full-Stack β€’ System Design β€’ DevOps β€’ AI Real-World Architecture Explained πŸš€

#tattoo
#anime
#meme
#fit