mirekm

[mirekm @Sjuras17514]

@Elirain4

[mirekm @Sjuras17514]

Strzelanina w Krakowie #Krakow

[mirekm @Sjuras17514]

@Tytaniec @michalowski86 tak

[mirekm @Sjuras17514]

@michalowski86 To cały film który podesłał mi znajomy z miejsca zdarzenia. Przerobic musialem na gif bo ma <1s

[mirekm @Sjuras17514]

Krakow strzelanina #Krakow

[mirekm @Sjuras17514]

@Szafarowicz2001 precum

[mirekm @Sjuras17514]

@sysz5 @boop_pl nie wiem

[mirekm @Sjuras17514]

@matis1806 lol xd

[mirekm @Sjuras17514]

@cyber_razz scared puss high cortisol cry more

[mirekm @Sjuras17514]

@sparkliin @Angel_Michael11 grown man running to snitch like he is 7

[EVY TECHNO @EvyTechno]

The correct answer is: B. DHCP

Why?

DHCP (Dynamic Host Configuration Protocol)
automatically assigns:

IP addresses
Subnet masks
Default gateways
DNS server addresses

to devices when they join a network.

Why the others are wrong:

A. DNS – Translates domain names (like https://t.co/ZjnpbN1iAX) into IP addresses.

C. ARP – Maps IP addresses to MAC addresses inside a local network.

D. ICMP – Used for network diagnostics (e.g., ping).

[mirekm @Sjuras17514]

@KacperKrysciak @Rybson__ za długo bez ligi legend, nie wytrzymał organizm

[mirekm @Sjuras17514]

@DecimalCubed healthy or nah

[Vivo @vivoplt]

Roadmap to Become a Backend Developer in 6 Months

📁 Programming Basics
Pick ONE language
→ Java / JavaScript / Python / Rust
• Syntax, data types, control flow
• OOP (Java, Python)
• Async & event loop (JS)
• Ownership & borrowing (Rust)

📁 Backend Foundations
• HTTP & REST
• JSON, headers, status codes
• MVC / layered architecture
• SQL vs NoSQL (when & why)

📁 CS Basics (Practical)
• Arrays, hashmaps, trees
• Time & space complexity
• Concurrency basics
→ threads, async, event loop

📁 Backend Frameworks
• Spring Boot | Node.js | FastAPI/Django | Actix/Axum
• Routing & controllers
• Middleware, configs, DI
• Validation & error handling

📁 Databases
• PostgreSQL / MySQL
• MongoDB / Redis
• CRUD, joins, indexes
• Transactions, migrations
• Connection pooling
• ORM (Hibernate / Prisma / SQLAlchemy / Diesel)

📁 Auth & Security
• JWT, OAuth2
• Sessions, cookies
• Password hashing
• RBAC, API keys
• CORS, rate limiting
• Secrets & env management

📁 Build Real Backends
• Auth API
• Blog / Task Manager
• E-commerce backend
• Chat server
• File upload service

📁 Advanced Backend
• Redis caching
• Pagination & filtering
• WebSockets
• Queues (Kafka / RabbitMQ)
• Background jobs
• Logging & monitoring
• Stateless services
• Scaling (H vs V)
• Idempotency & retries

📁 DevOps & Deployment
• Docker & Compose
• CI/CD (GitHub Actions)
• Cloud (AWS / GCP / Render / Railway / Azure)
• Nginx, health checks, metrics

📁 Production Projects
• Scalable REST API
• Auth + roles
• DB + cache
• Workers + CI/CD
• Cloud deployed

📁 Portfolio
• 4–6 strong backend projects
• Clean README
• Architecture diagrams
• API docs
• Live demos

📁 Job Prep
• System design basics
• Backend patterns
• APIs, DBs, scaling
• LeetCode (foundations only)

✅ Apply for:
Backend / Java / Node / Python / Rust / API / Cloud roles

[Dhanian 🗯️ @e_opore]

If I Had 6–12 Months to Become a Backend Engineer in the AI Era, I’d Do This

Stage 1 — Programming & AI Foundations

Start with strong fundamentals
• Choose one backend language (Java / JavaScript / Python / Go / Rust)
• Syntax, data types, control flow, functions
• OOP and design basics
• How AI supports backend engineers (code review, debugging, testing)
• Using AI responsibly without skipping fundamentals

Stage 2 — How the Backend Works

Understand what happens behind the scenes
• How servers work
• HTTP and request–response lifecycle
• REST APIs fundamentals
• JSON and status codes
• Client–server architecture
• Visualizing backend flows with AI

Stage 3 — Backend Frameworks

Learn one production-grade framework

Java → Spring Boot
JavaScript → Node.js (Express / Fastify)
Python → Django / FastAPI
Go → Gin / Fiber
Rust → Actix-Web / Axum

Learn:
• Routing
• Controllers and services
• Middleware
• Dependency Injection
• Configuration management
• AI-assisted boilerplate generation

Stage 4 — Databases & Data Modeling

Master data storage and access
• SQL (PostgreSQL / MySQL)
• NoSQL (MongoDB / Redis)
• Schema design
• Relationships and constraints
• Indexing
• Transactions
• ORMs and query builders
• AI-assisted query optimization

Stage 5 — Authentication & Security

Build secure backend systems
• Password hashing
• JWT and sessions
• OAuth 2.0 basics
• Role-based access control
• CORS and CSRF
• Rate limiting
• Environment variables and secrets
• AI-assisted security reviews

Stage 6 — Building Real Backend Services

Practice through real APIs
• Authentication service
• User management system
• CRUD-based APIs
• File upload service
• Background job processing
• Logging and error handling
• AI-assisted test generation

Stage 7 — Advanced Backend Engineering

Think beyond CRUD
• Caching with Redis
• Pagination and filtering
• WebSockets and real-time systems
• Message queues (Kafka / RabbitMQ)
• Event-driven architecture
• API versioning
• AI-assisted performance analysis

Stage 8 — System Design & Scalability

Design systems that grow
• Monolith vs microservices
• Load balancing
• Horizontal and vertical scaling
• Database scaling strategies
• Stateless services
• Failure handling
• Using AI to simulate design scenarios

Stage 9 — DevOps & Deployment

Ship reliable backend services
• Linux basics
• Git workflows
• Docker and Docker Compose
• CI/CD pipelines
• Cloud deployment (AWS / GCP / Azure / Render)
• Reverse proxies (Nginx)
• Monitoring and alerting
• AI-assisted infrastructure troubleshooting

Stage 10 — Production-Grade Projects

Build backend systems that feel real
• Scalable REST API
• Authentication and permissions
• Database + caching
• Background workers
• Cloud deployment with CI/CD
• Logs, metrics, and monitoring
• Clear documentation

Stage 11 — Portfolio & Engineering Readiness

Show backend depth, not just features
• 3–5 production-quality backend projects
• API documentation
• Architecture diagrams
• Database schemas
• Load and performance considerations
• Explanation of AI-assisted workflows

Stage 12 — Career & Interview Preparation

Get job-ready as a backend engineer
• Backend interview fundamentals
• System design interviews
• Database and API questions
• Scalability discussions
• Problem-solving practice
• Continuous learning in the AI era

Grab the Backend Engineering Handbook;
Backend Engineering: From Fundamentals to Scalable Systems
https://t.co/t9mqUuRbjx

[mirekm @Sjuras17514]

#DebataTVP #Maciak