Cloud Architecture Simplified: EC2 + API

Your AWS architecture isn’t documented. It’s remembered. By one engineer. Who knows: • which service talks to what • why that one config exists • what will break if you change it Until they’re unavailable. And suddenly, everything feels risky. Cloud doesn’t fail because of outages. It fails because no one knows how it works anymore. #AWS #DevOps #CloudComputing #StartupTech #Engineering

Your AWS architecture isn’t documented. It’s remembered. By one engineer. Who knows: • which service talks to what • why that one config exists • what will break if you change it Until they’re unavailable. And suddenly, everything feels risky. Cloud doesn’t fail because of outages. It fails because no one knows how it works anymore. #AWS #DevOps #CloudComputing #StartupTech #Engineering

Built a scalable AWS architecture combining EC2, RDS, and S3 for high availability and efficient data management. 🚀 🔹 EC2 handles application workloads with Auto Scaling for flexibility 🔹 RDS ensures reliable and managed database performance 🔹 S3 provides secure object storage and log archiving 🔹 ALB + VPC help manage traffic flow securely and efficiently A simple yet powerful architecture pattern for building reliable cloud applications. Always learning and exploring more in Cloud & DevOps! ☁️💡 #AWS #CloudComputing #DevOps #EC2 #RDS #S3 #Architecture #CloudArchitecture #LearningJourney

Navigating the AWS ecosystem can be challenging, especially when deciding which compute service best fits your architecture. As an IT Engineer, I often get asked about the differences between these core services. Here is a high-level breakdown of the AWS Compute family to help you make an informed decision: 🔹 EC2 (Elastic Compute Cloud): The foundation. It provides virtual servers (instances) where you have full control over the OS and stack. Ideal for applications requiring custom configurations. 🔹 Lambda: The king of Serverless. Run code without provisioning or managing servers. You only pay for the compute time you consume. Perfect for event-driven tasks. 🔹 ECS (Elastic Container Service) & EKS (Elastic Kubernetes Service): Your go-to for containerization. ECS is AWS’s native container orchestrator (highly integrated), while EKS is the managed Kubernetes service for those who need industry-standard orchestration. 🔹 Fargate: Serverless compute for containers. It works with both ECS and EKS, removing the need to manage the underlying EC2 instances. You focus on the containers; AWS handles the rest. 🔹 AWS Batch: Designed for batch computing. It efficiently plans, schedules, and executes your batch computing workloads across the full range of AWS compute services. Key Takeaway: There is no "one size fits all." The choice depends on your need for control versus your desire for operational simplicity. What is your "go-to" compute service for new projects? #AWS #CloudComputing #ITEngineering #DevOps #Serverless #TechCommunity #CloudArchitecture

End-to-End AWS Microservices Architecture — Simplified Visual From user request to deployment, this diagram captures how modern scalable systems are built using Amazon Web Services: 🔹 User requests routed via DNS & Load Balancer 🔹 Containerized microservices running on Kubernetes (EKS) 🔹 Docker images stored in ECR and deployed on EC2 worker nodes 🔹 File uploads handled by S3 with event-driven processing using Lambda 🔹 CI/CD pipeline automating build → push → deploy 🔹 Supporting services like IAM, CloudWatch, and API Gateway ensuring security & monitoring #microservices #Aws #cloud

Stop overcomplicating AWS. ☁️ The cloud isn't magic. It’s just flawless orchestration. Most architecture diagrams look like chaos. This is the exact, clean 8-step logic that handles millions of requests seamlessly.👇 #AWS #CloudArchitecture #SystemDesign #DevOps #Engineering

Exploring the power of AWS Lambda and serverless architecture. AWS Lambda enables developers to run code without provisioning or managing servers, allowing teams to focus more on building applications while AWS handles the underlying infrastructure. Key benefits of AWS Lambda: • Automatic scaling based on demand • Pay only for the compute time used • Faster deployments with reduced operational overhead • Native integration with AWS services • Ideal for event-driven architectures Common use cases include APIs, automation workflows, file processing, scheduled tasks, and real-time backend services. Serverless computing continues to play an important role in building scalable, efficient, and modern cloud solutions. #AWS #AWSLambda #Serverless #CloudComputing #DevOps #SRE #Architecture #Cloud #Technology

Before implementation, the most important step is understanding the architecture itself. This post is not about deployment yet, it is about getting familiar with the core concepts behind a containerized microservices architecture on AWS. Before building, it is essential to know: • how the system is designed • which AWS services will be used • what each service does • why a particular service is chosen in the architecture In this architecture, I have broken down the role of key components such as: Amazon ECS, EC2, Auto Scaling, Application Load Balancer, RDS, DynamoDB, S3 static website hosting, VPC, Availability Zones, and containerization. The goal here is to build clarity before implementation. This is the conceptual foundation for what I will be implementing next. #AWS #Microservices #Containerization #ECS #CloudArchitecture #DevOps #RDS #DynamoDB #S3 #SystemDesign

AWS Cloud Mind Map – A Practical Guide for Cloud Engineers Here’s a visual breakdown of core AWS services every Cloud & DevOps Engineer should know. This mind map simplifies key domains to help you understand how everything connects in real-world architectures. 🔹 Compute– EC2, Lambda, ECS, EKS 🔹 Storage – S3, EBS, EFS, Glacier 🔹 Networking – VPC, Subnets, Route 53, CloudFront 🔹 Databases – RDS, DynamoDB, Aurora 🔹 Security & Identity – IAM, KMS, Cognito 🔹 Monitoring – CloudWatch, CloudTrail, X-Ray 🔹 Integration & Messaging – SQS, SNS, EventBridge 🔹 DevOps & IaC – CodeBuild, CodeDeploy, Terraform A structured view like this makes it easier to learn, revise, and design scalable cloud solutions. #AWS #CloudComputing #DevOps #CloudEngineer #AWSCertification #Architecture #Learning #Tech

🚀 Project Showcase: CloudNova – Production‑Grade Kubernetes Platform on AWS Recently worked on CloudNova, a hands‑on initiative focused on building a production‑ready Kubernetes platform on AWS using modern cloud‑native best practices. 🔹 What I built: A scalable Kubernetes platform on Amazon EKS Complete infrastructure automation using Terraform (IaC) Containerized workloads deployed with CI/CD automation End‑to‑end observability with Prometheus & Grafana 🔹 Key Architecture Highlights: Provisioned VPC, EKS clusters, IAM roles, EC2 worker nodes using Terraform Designed for scalability, resilience, and cost optimization Implemented monitoring dashboards and alerts for production visibility This project strengthened my understanding of Kubernetes operations, infrastructure automation, observability, and platform reliability in real‑world cloud environments. Always excited to build and learn more around AWS, Kubernetes, Terraform, CI/CD, and Cloud Architecture. Happy to connect with fellow cloud & platform engineers 🚀 #AWS #EKS #Kubernetes #Terraform #CloudArchitecture #DevOps #PlatformEngineering #CloudComputing #IaC #Observability