"A successful rewrite isn’t about choosing Go, Java, or Python.
It’s about clear milestones, ruthless focus, and a team that owns the mission together."

What’s your take? Would you attempt a monolith rewrite in your org, or stick to incremental refactors?

Pitfalls to Avoid
* Big Bang rewrites
* Ignoring infra costs (Java services can be $$$ if not tuned)
* Over-engineering 50 microservices too early
* Knowledge stuck with one person

6. Celebrate Milestones
Migration fatigue is real. Every 10% traffic shift or “first service live” is a win.

4. Use Incremental Migration
Shadow traffic, compare results, and flip over gradually.
(Canary releases + API Gateway = lifesaver.)

5. Break Down Silos
Encourage devs to step outside comfort zones — backend touching infra, frontend fixing APIs, etc.

2. Measure Progress Relentlessly
Track % traffic on new vs old system, error rates, and performance gaps.
(Java folks: Micrometer + Prometheus + Grafana works wonders.)

3. Be Ruthless About Scope
Port first, refactor later. Create a “future cleanup” backlog.

1. Define a Minimal Viable Rewrite (MVR)
Don’t rewrite everything. Start with the core 20% of functionality that delivers 80% of value.

Curious: If you’re working in Java today, which of these patterns (coalescing, dual-writes, async pipelines) have you implemented in your systems?

Link : discord.com/blog/how-dis...

Lesson for Java engineers:
You don’t need Rust to scale. With CompletableFuture, Spring Boot, and modern GC tuning, you can replicate many of these wins in enterprise systems. The big gains come from architecture choices, not just switching languages.

Thin Data Services work wonders: A simple layer between your API & DB can cut latency, cache hot rows, and prevent DB stampedes.

Migration without downtime is an art: Dual-writes, shadow reads, and checkpointed batch tools are patterns you can apply even in Java/Spring systems.

Key Takeaways:

GC isn’t free: At hyperscale, GC pauses can be a deal-breaker. (Finance folks: learn your G1/ZGC/Shenandoah inside out!)

Architecture > Language: Rust gave Discord predictable latency, but the real magic was request coalescing, consistent hashing & dual-writes.

Memory about the feature: 404 Not found
But the feature is already shipped 😅