Suleiman Abdulkadir

Implemented Blue-Green deployment with Amazon ECS. Two services (Blue & Green) behind ALB for zero-downtime traffic switching. Tested successfully with "Hello - I'm BLUE". Built using ECS Cluster, ECR, CodeBuild, and ALB. #AmazonECS #BlueGreen #AWS #DevOps

@PsudoMike exactly

@suleops Code review just became the core skill. AI writes a function fast, knowing if it belongs in your codebase is still on you.

AI can code, but one of the most important skills for software engineers now is learning how to read code deeply. In the past, writing code was the main skill. Today, reading, understanding, reviewing, debugging, and improving code are becoming even more important.

Built an Agentic Workflow with AWS Bedrock Agents.Asked: "How many S3 buckets are in my AWS account?"Got: "You have 3 total. 1 is publicly accessible."Powered by Step Functions, Lambda, and Bedrock Agent. #AWS #AWSAgents #AmazonBedrock #Cloud

and think critically not just generate code.

If you rely on AI for everything without understanding the output, you’ll struggle when things break in production. The engineers who will stand out in the AI era are the ones who can understand systems, spot bad logic, fix bugs, review architecture decisions,

Just implemented VPC Traffic Mirroring on AWS. Source instance now mirrors all traffic to a target for inspection, with zero impact on production flow.tcpdump + CloudWatch metrics = magic. Super useful for security monitoring and troubleshooting. #AWS #VPC #TrafficMirroring

@smbclient1 Cloud and DevOps

Looking to connect with: cloud engineers, SOC analysts, cybersecurity students, threat intelligence analysts, and security architects.

Just shipped a VPC middlebox routing lab on AWS. Configured custom route tables and network interfaces for full traffic control across the VPC. Learned a lot about advanced AWS networking today. #AWS #VPC #Networking

Systems engineering and infrastructure still depend deeply on understanding how systems actually work, not just generating code.

One of the best pieces of career advice I’d give anyone entering tech: Focus on fields that still heavily require critical thinking, problem-solving, and human decision-making. Areas like cloud engineering, DevOps, Site Reliability Engineering (SRE), cybersecurity,

@EOEboh You haven't added security. It's very important

If you can explain most of these system design concepts clearly… you’re already ahead of a huge percentage of developers: SCALABILITY [ ] Horizontal vs Vertical Scaling [ ] Load Balancing [ ] Auto Scaling [ ] Consistent Hashing NETWORKING [ ] DNS & How It Works [ ] CDNs [ ] Reverse Proxy [ ] API Gateway DATA [ ] SQL vs NoSQL [ ] Database Sharding [ ] Replication [ ] Database Indexing [ ] CAP Theorem [ ] ACID vs BASE CACHING [ ] Cache Strategies (write-through, write-back, write-around) [ ] Cache Eviction Policies (LRU, LFU) [ ] Redis vs Memcached [ ] CDN Caching COMMUNICATION [ ] REST vs GraphQL vs gRPC [ ] WebSockets [ ] Message Queues [ ] Pub/Sub Pattern [ ] Webhooks RELIABILITY [ ] Rate Limiting & Throttling [ ] Circuit Breaker [ ] Retry Logic & Exponential Backoff [ ] Idempotency [ ] Timeouts & Fallbacks ARCHITECTURE [ ] Monolith vs Microservices [ ] Event-Driven Architecture [ ] CQRS [ ] Saga Pattern [ ] Service Discovery STORAGE [ ] Object Storage vs Block Storage [ ] Data Partitioning [ ] Blob Storage [ ] Time-Series Databases How many can you confidently explain in an interview?

Even if the product launches, many teams eventually need experienced software engineers to rebuild core parts properly from scratch.

That’s why many vibe coders who don’t fully understand software engineering give AI very implicit instructions instead of explicit requirements. The result is often messy architecture, insecure logic, technical debt, and systems that become difficult to scale or maintain.

The right choice always depends on the system you’re building, the scale, the team, the budget, and the business requirements That’s why understanding system design and software architecture matters so much. It helps you choose the right tools instead of blindly following trends

Saying a framework, language, or cloud provider is “the best” is usually the wrong mindset. Most cloud platforms offer similar core services with differences in pricing, ecosystem, scalability, support, and specialized tooling.

@ritu_twts it depends on the kind of project you are working on

As a dev, what do you prefer for backend?

@Damilolawo1a Every path in tech is different. But one of the best ways to learn is through project-based learning. Build projects, solve real problems, break things, fix them, and keep improving. That process teaches far more than endlessly consuming tutorials.

What’s the best way to break into tech? Web developer? AI/Ml? Cybersecurity ? Devops? Cloud computing? Data analyst? Data science ? 🤔

@V1rendra_ uhhmmm i think when you have simple system (or mvp) go for vercel. If you have complex system u have to use cloud platforms (AWS, GCP, or AZURE...)

As a developer , which one do you prefer for hosting ?