🔸 TLDR
▪️ Start by containerizing the monolith ✅
▪️ Make it more “stateless” (or at least state-aware) 🧠
▪️ Extract one business capability at a time (strangler fig pattern) 🌿
▪️ The hardest part is usually data + transactions + ops, not code 🔥
🔸 CONTEXT (NO MAGIC, JUST ENGINEERING)
You don’t “convert a monolith into microservices” overnight.
You stabilize, slice, extract, and operate—while production keeps running. 😅
🔸 THE MODERNIZATION PATH (A PRACTICAL FLOW)
▪️ 1) Baseline & observe: logs/metrics/traces, dependency map, critical flows 📈
▪️ 2) Containerize the monolith: externalize config, health checks, build image 🐳
▪️ 3) Untangle state: HTTP session, caches, filesystem, in-memory jobs 🧩
▪️ 4) Slice by business capability: pick a “thin vertical” (UI→API→DB) ✂️
▪️ 5) Extract a service: new boundary, new contract, same outcome 🎯
▪️ 6) Adapt data: reduce coupling to shared schema, handle dual-writes carefully 🗃️
▪️ 7) Operate it: CI/CD, rollout strategy, alerts, on-call readiness 🚨
▪️ 8) Repeat: grow the garden, shrink the monolith 🌿➡️🏗️
🔸 WHERE THE PAIN REALLY IS
▪️ “Stateless” isn’t free: sticky sessions, server-side session, temp files 😬
▪️ Shared database coupling: foreign keys everywhere, “one big schema” 🧱
▪️ Transactions across boundaries: the classic “it used to be one commit” 💥
▪️ Chatter + latency: in-process calls become network calls 🌐
▪️ Identity & security: auth propagation, service-to-service trust 🔐
▪️ Batch/jobs: timers, schedulers, and “who runs the job now?” ⏱️
▪️ Environment gaps: it worked on the app server… but not in k8s 😅
▪️ Operations overhead: dashboards, SLOs, incident response becomes real 🧯
🔸 WHAT “STATELESS MICROSERVICE” MEANS IN PRACTICE
▪️ No user session stored in memory (store session elsewhere or go token-based) 🪪
▪️ No local file dependency (use object storage) 📦
▪️ Scale horizontally without surprises (any pod can serve any request) 📈
▪️ Identity + config come from the environment, not from “the box” ⚙️
🔸 MIGRATION MOVES THAT REDUCE RISK
▪️ Strangler fig: route traffic gradually to new services 🌿
▪️ “Extract one thing” rule: one capability, one team, one contract 🎯
▪️ Contract-first: define APIs/events before moving logic 📜
▪️ Anti-corruption layer: protect the new world from old coupling 🛡️
▪️ Release safely: canary/blue-green, feature flags, rollback plan 🧪
🔸 TAKEAWAYS
▪️ Containerize first, extract second 🐳
▪️ Most surprises come from state + data + transactions 🗃️
▪️ Microservices are an org + ops change as much as a tech change 👥
▪️ Observability isn’t optional—it’s your flashlight 🔦
▪️ Small, repeatable extractions beat big-bang rewrites 🧩
🔸 QUESTION
▪️ What’s your biggest pain today: state, database coupling, or deployment/ops? 🤔
#JakartaEE #Java #Microservices #CloudNative #Containers #Kubernetes
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