@kodekloud: Design Centralized Logging System One bad microservice should never take down your entire logging stack. But it does — for 99% of teams that skip Kafka in their pipeline. Here's the architecture that actually survives a log flood from 100+ services: 🟢 Fluent Bit reads logs from every Kubernetes node (low RAM, language-agnostic) 🟢 Kafka acts as the shock absorber for sudden error spikes 🟢 Logstash or Vector enriches each line with pod metadata + trace IDs 🟢 Elasticsearch = hot tier, 7-day searchable history 🟢 S3 = cold tier, 1-year retention, dirt cheap 🟢 Kibana for search, ElastAlert for paging on-call The Kafka buffer is the one decision that turns a fragile pipeline into a bulletproof one. Save this 📌 — you'll need it for your next system design round. Follow for more distributed systems breakdowns 👉 . . . #SystemDesign #Microservices #Kubernetes #DevOps #SRE #Elasticsearch #Kafka #FluentBit #BackendDeveloper #SoftwareEngineer #Observability #DistributedSystems #CloudEngineering #CodingLife #TechReels #ProgrammerLife

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Tuesday 12 May 2026 14:22:01 GMT