🌟 Overview

This repository centralizes all our learning roadmaps across:

• Computer Science Fundamentals
• Backend Engineering
• Full Stack Development
• System Design
• Cloud & DevOps

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Top 1% Backend Developer Roadmap

12-Month Plan — No Fluff

TOP 1% Backend Developer Roadmap 12 months · 5 phases · Zero fluff · Built to compound

• 12 months Total timeline
• 32 topics Core to master
• 5 phases Progressive depth

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Before You Start

The philosophy behind this roadmap

• Build before you learn. Every phase ends with a real project — not a tutorial clone. The embarrassment of breaking production is the curriculum.
• The 'Skip' sections are as important as the topics. Time is finite. Learning Kubernetes at week 3 is how people waste 2 months feeling like experts while being confused.
• Top 1% is not harder topics — it's compounding habits. Reading real codebases, writing about your work, owning a specialty, building for real users. Most engineers never start. You start now.
• Go deep on one language before touching a second. One framework before touching a second. Depth compounds. Breadth doesn't.

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12-Month Overview

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Phase 1 — Foundation

Weeks 1–6 · Build the non-negotiable base. No shortcuts here.

❌ SKIP — don't waste time on:

• Watching 10hr YouTube "full course" videos passively
• Memorizing syntax before building anything real
• Learning multiple languages at once
• Any framework before understanding how HTTP and servers actually work

Weekly Breakdown

Week 1–2 · Core

• Pick one language, go deep: Python, Go, or Node.js. Learn it by building, not watching. Variables, functions, error handling, file I/O. That's it. (2 weeks)
• How the internet actually works: TCP/IP, DNS, HTTP/HTTPS request-response cycle. Not theory — open Postman, hit real APIs, read the headers. (1 week parallel)

Week 3–4 · Core

• Build a raw HTTP server: No Express, no FastAPI. Use raw sockets or the standard library. Serve HTML, return JSON. Understand what frameworks are hiding. (1.5 weeks)
• Linux + command line fluency: SSH, file permissions, process management, cron, grep, curl. You will live in the terminal. Learn it now. (1 week parallel)

Week 5–6 · Core

• Databases — SQL fundamentals: PostgreSQL. CREATE, SELECT, JOIN, INDEX. Understand what a query plan is. Run EXPLAIN on your queries from day one. (2 weeks)
• Git — beyond the basics: Branching strategies, rebasing, merge conflicts, git bisect. Commit messages that don't say 'fix stuff'. (0.5 weeks parallel)

→ Phase project — build this:

1. A URL shortener with PostgreSQL backend, no framework
2. Implement redirect tracking and basic analytics
3. Deploy it on a $5 VPS manually — no Docker yet

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Phase 2 — Core Backend Skills

Weeks 7–18 · Where 90% of devs stop. Go further.

❌ SKIP — don't waste time on:

• Learning every HTTP status code by heart (use a reference)
• GraphQL before REST is second nature
• Microservices before you've built a solid monolith
• NoSQL before you understand relational data deeply

Weekly Breakdown

Week 7–8

• REST API design — real patterns: Resource naming, versioning, pagination, filtering. Auth (JWT + sessions). Rate limiting. Error response consistency. (2 weeks)
• One framework, mastered: FastAPI, Express, or Gin. Don't learn three. Learn one until you can build from memory. Middleware, routing, validation. (2 weeks parallel)

Week 9–11

• Database design that doesn't break: Normalization, indexes (when and when not to), transactions, ACID. Migrations. Understand N+1 queries and how to kill them. (3 weeks)
• Caching — Redis basics: Cache-aside pattern, TTL strategy, cache invalidation. Sessions in Redis. When NOT to cache (the common mistake). (2 weeks)

Week 11–13

• Authentication done right: OAuth 2.0 flow — don't just copy-paste. Password hashing (bcrypt). Token refresh. CSRF. Session fixation. Security is not optional. (3 weeks)
• Async, queues, and background jobs: Why async matters. Event loop or goroutines. Message queues (RabbitMQ or Redis queues). Celery / BullMQ / workers. (3 weeks)

Week 14–16

• Testing — actually useful tests: Unit, integration, and API tests. Mocking external services. Test-driven debugging. 80% coverage or find the right 20%. (3 weeks)
• Docker — containerize everything: Write a Dockerfile from scratch. Docker Compose for local dev. Layer caching. Multi-stage builds. Understand what a container actually is. (3 weeks)

→ Phase project — build this:

4. Full auth system: register, login, JWT refresh, OAuth (Google)
5. Email queue with worker — background send, no blocking request
6. Containerize it with Docker Compose: app + db + redis

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Phase 3 — Production-Grade Thinking

Weeks 19–28 · Most tutorials never teach this. This is where you separate.

❌ SKIP — don't waste time on:

• Kubernetes before you understand why you need it
• Setting up Prometheus dashboards with no data to show
• Every cloud service — pick AWS or GCP and go one level deep

Weekly Breakdown

Week 19–20

• CI/CD pipelines: GitHub Actions or GitLab CI. Automated tests on PR. Build → test → deploy pipeline. Secrets management. Zero-downtime deployments. (2 weeks)
• Logging and observability: Structured logs (JSON). Correlation IDs. Log levels — don't log everything. Grafana + Loki or Datadog. Alerts that actually matter. (3 weeks)

Week 21–23

• Cloud fundamentals — one platform: AWS: EC2, RDS, S3, SQS, IAM roles. Or GCP equivalents. VPCs, security groups, managed services vs self-hosted tradeoffs. (3 weeks)
• Performance profiling: Profile before optimizing. Flame graphs. Slow query logs. p95/p99 latency, not averages. Load testing with k6 or Locust. (3 weeks)

Week 24–26

• Security in depth: OWASP Top 10 — actually fix each one. SQL injection, XSS, SSRF, insecure direct object references. Secrets in env vars, not code. (3 weeks)
• API design at scale: Idempotency keys. Webhook design. API versioning strategy. OpenAPI spec. Backward compatibility. Breaking vs non-breaking changes. (3 weeks)

→ Phase project — build this:

7. Deploy a real app to AWS/GCP with full CI/CD pipeline
8. Add structured logging, metrics, and one alert that pages you
9. Run a load test, find the bottleneck, fix it, re-test

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Phase 4 — Advanced Systems

Weeks 29–42 · The stuff senior engineers actually debate at 2am.

❌ SKIP — don't waste time on:

• Implementing your own consensus algorithm — use Raft-based systems
• Designing distributed systems before your monolith hits real traffic
• Kafka before you've exhausted simpler queues

Weekly Breakdown

Week 29–31

• System design fundamentals: CAP theorem (what it actually means). Consistency models. Horizontal vs vertical scaling. Load balancers. CDNs. Design Twitter's timeline. (3 weeks)
• Database at scale: Read replicas, connection pooling (PgBouncer). Sharding strategies. When to denormalize. Partitioning. Zero-downtime migrations. (3 weeks)

Week 33–35

• Message queues and event streaming: Kafka: partitions, consumer groups, exactly-once semantics. Event sourcing. Dead letter queues. At-least-once vs at-most-once. (3 weeks)
• Microservices — when and how: Service boundaries. gRPC vs REST for internal services. Service mesh basics. Distributed tracing (OpenTelemetry). The monolith-first rule. (3 weeks)

Week 37–39

• Kubernetes fundamentals: Pods, services, deployments, ingress. ConfigMaps and secrets. Horizontal pod autoscaling. Know when K8s is actually needed. (3 weeks)
• Reliability engineering: SLOs, SLIs, error budgets. Circuit breakers. Retry with exponential backoff. Chaos engineering. Graceful degradation. Incident response. (4 weeks)

→ Phase project — build this:

10. Design a system handling 10k req/sec on paper first — justify every choice
11. Add Kafka-based event streaming between two services
12. Set SLOs, break them intentionally, fix them, write a postmortem

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Phase 5 — Top 1% Differentiators

Weeks 43–52 · The things that make you irreplaceable. Pure craft.

❌ SKIP — don't waste time on:

• Knowing the most frameworks or languages — breadth doesn't compound
• Having the cleanest code on a system nobody uses
• Certification collection — AWS, GCP, etc. These signal effort, not ability

Weekly Breakdown (Rare Skills)

Week 43–45

• Read production codebases: Read Postgres internals, Redis source, or a major open-source backend. Understand how production-grade software is actually structured. (3 weeks)

Week 44–46

• Contribute to open source: Fix a real bug or add a real feature to a project people use. Not a toy project. The code review from senior engineers is irreplaceable. (Ongoing)

Week 46–48

• Write about what you build: Technical blog, teardown posts, postmortems. Writing forces clarity of thought. Engineers who communicate well get 2x the leverage. (Ongoing)

Week 47–49

• Deep-dive one specialty: Search infrastructure, payments, real-time systems, ML pipelines, or data engineering. Go beyond surface level. Own one area completely. (3 weeks)

Week 49–51

• Systems thinking and trade-offs: Any architecture decision has costs. Strong developers defend trade-offs, not choices. For every decision, write the case against it. (Ongoing)

Week 51–52

• Build something real with users: Not a tutorial project. Something that handles real traffic, breaks in real ways, and forces you to solve problems you didn't anticipate. (Ongoing)

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You are top 1% when:

• You can design a system that handles 10x current load without rewriting it
• Junior devs come to you with problems you've already solved — and documented
• You know which corners to cut and which never to cut
• You've debugged something nobody else could find — and wrote a postmortem about it
• You have opinions on trade-offs and can defend the other side too

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The entire strategy in one line:

Build deep. Ship real things. Write about it.

Build deep. Ship real things. Write about it. That's the entire strategy.