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DevOps Roadmap 🏆 Step 1 – Linux Basics Step 2 – Scripting (Bash, Python) Step 3 – Git Step 4 – CI/CD (Jenkins, GitHub) Step 5 – Containerization (Docker) Step 6 – Orchestration (Kubernetes) Step 7 – Monitoring (Prometheus, Grafana) Step 8 – Cloud P

Which service do medial use??? AWS or azure or gcp

Which is cheap and good? AWS vs gcp vs azure

Have you ever used any cloud platform like AWS, GCP and Azure. Whats are your experience with them which one to prefer most. Share your thoughts 💭

If you have experience in any of the following areas I’m especially interested in connecting with you 1.API Architecture & Integration 2. Full Stack Development (React, Node.js, Python, etc.) 3. AI/ML Engineering (especially in credit scoring, ris

As a backend engineer. You should learn: - System Design (scalability, microservices) -APIs (REST, GraphQL, gRPC) -Database Systems (SQL, NoSQL) -Distributed Systems (consistency, replication) -Caching (Redis, Memcached) -Security (OAuth2, JWT

The “Entry-Level” AI Engineer Job Description of 2025 🚨 HR today: > “We’re looking for someone who knows Python, OOP, NumPy, Pandas, SQL, Advanced Excel, Power BI, ALL ML/DL models, every AWS service, LangChain, Docker, Kubernetes, LLM fine-tuning

can anyone refer me somewhere; my primary skills (which I almost use daily) are :- Python, Git/GitHub, AWS (RDS, EC2, ECS, S3, Lambda), Jenkins, SQL, and Docker. Really appreciate it!

is it a ideal thing to do for a technical mvp architecture high level ones for an startup? - Mobile frontend: React Native or Flutter (fast to ship cross-platform). - ML models: PyTorch/TensorFlow depending on preference. - Backend: Python serv

DevOps (Development + Operations) bottlenecks? Scoutflo’s on it! Raised ₹1.4 Cr led by 100X.VC 🤖 AI automates code deployment ☁️ Works across AWS,GCP,Azure, Civo 🛠️ No need for big DevOps teams 🔐 Secure,fast,scalable Goal:global scale,smarter