Vibe coding changed software development:
– building is easier
– shipping is faster
– copying is common
– every app looks familiar
– getting users is still the hardest part
Top 10 resources to learn distributed systems (practical, for working devs):
1) Designing Data-Intensive Applications (Kleppmann) — the clearest map of replication, partitioning, streams, and real tradeoffs.
2) Distributed Systems (Tanenbaum + van Steen) — fundamentals: time, clocks, consensus, failure models. Great when you keep tripping on basics.
3) MIT 6.824 — labs force you to implement Raft-ish pieces, deal with partitions, and debug why tests flake.
4) Martin Kleppmann’s blog/talks — crisp explanations of consistency and logs, with diagrams that match production reality.
5) Jepsen analyses (Kingsbury) — teaches you how systems fail under partitions; also how to read vendor claims skeptically.
6) The Raft paper + the Secret Lives of Data visualization — consensus clicks faster when you see leader changes and log replication.
7) Kafka docs + “Kafka: The Definitive Guide” — distributed logs, consumer groups, ordering, rebalances. Useful even if you don’t run Kafka.
8) etcd docs (esp. consistency, leases, watches) — a real production KV store built on Raft; great for understanding control planes.
9) Google SRE book + Workbook — SLIs/SLOs, error budgets, incident response. Distributed systems fail in ops, not just in theory.
10) Practice project: build a tiny replicated KV store — gRPC/HTTP API, Raft library or your own, chaos tests (kill -9, delay, drop packets), and measure read/write consistency under load
Interviewed a backend dev with 12+ years. Solid resume, but they blanked on a few modern defaults: no Terraform, fuzzy on k8s, hadn’t used OpenTelemetry, and their answer to retries/idempotency was more 2016 cron-job than 2026 queue.
Then we gave them a broken service: p99 latency spike, DB CPU high, occasional 500s.
They didn’t guess. They asked for logs, slow query sample, and a diagram of the request path. In 10 minutes they found a missing composite index and an N+1 call pattern, proved it with EXPLAIN + a quick histogram, and suggested a safe rollout: add index concurrently, ship a feature flag, cap concurrency, and add a circuit breaker around the downstream.
Experience is knowing how to figure things out under pressure, not memorizing every library name
JAVA DEVS ,
FOR ANY INVESTMENT BANK( JP Morgan, Morgan Stanley, Goldman Sachs, Citi, etc..) -
Please prepare Producer Consumer implementation by both wait / notify and BlockingQueue .
i was tired of stupid people on road so i hacked my helmet into a traffic police device 🚨
while i ride, ai agent runs in near real time, flags violations, and proof with location & no plate goes straight to police.
blr people - so now ride safe… or regret it.
https://t.co/3zHgaRNtW5
A Basic HTTP Webserver in C++ (for windows).
currently GET request works with static html page in / route.
Let me know your thoughts!