AWS Lambda vs Amazon EC2: Key Differences

EC2 vs Lambda vs Fargate — this confuses almost every beginner in AWS. Here’s the simplest breakdown 👇 EC2 → Full control, but you manage everything Lambda → No servers, event-driven execution Fargate → Containers without managing infrastructure 💡 The real trick is NOT learning all 3… It’s knowing WHEN to use each. Most people overuse EC2 Smart engineers choose based on use case. 👉 My rule: • Control → EC2 • Automation → Lambda • Containers → Fargate Which one do you use the most in real projects? #AWS #CloudComputing #DevOps #Serverless #Fargate #EC2 #Lambda #CloudEngineering

AWS bills you for a lot of things while you sleep. Dev servers nobody is using. Staging environments that ran after the last deploy. Test databases from last week’s debugging session.EC2 instances someone forgot to shut down. None of these feel expensive individually. But together they quietly add up. We have been there, our development environments were running 24 hours a day even though engineers only used them maybe 8–9 hours. That’s a lot of wasted compute. Once we started automatically shutting things down overnight, the difference was obvious on the next AWS bill. That experience is actually what pushed me to start building ParkMyAWS. Just a simple way to schedule EC2 and RDS instances so they stop when nobody needs them and start again the next morning. Sometimes the best SaaS ideas are just fixing a small but annoying habit. Do you shut down your dev infrastructure overnight, or does it run all the time? #AWS #IndieHacker #SoloFounder #BuildingInPublic

$ free -h Swap: 0B / 0B used This is your system telling you it's healthy. Swap is backup memory carved out on disk. When your RAM runs out of room, the OS starts pushing less-active data out of RAM and into swap to free up space. Sounds helpful right? The moment your system starts actively using swap, performance usually drops. Why? Because disk is orders of magnitude slower than RAM. You've just traded memory speed for disk speed to keep things running. That's a band-aid, not a solution. As a cloud/infrastructure engineer, this matters more than you might think In production, VMs, containers, EC2 instances, swap usage is a signal, a bad one. It can mean: ▫️Memory pressure building up gradually ▫️Poor resource allocation from the start ▫️Workloads that weren't profiled properly ▫️A node that needs to be scaled, not patched Every memory fundamental you learn locally applies directly in the cloud. When you understand what swap usage actually signals, you stop treating it as a metric to ignore and start treating it as a diagnostic tool. You design EC2 instance types with intention. You set resource requests and limits in Kubernetes with actual numbers. You catch memory pressure before it becomes an incident. Understanding the fundamentals underneath is what separates engineers who run cloud systems from those who architect them well #CloudEngineering #Linux #Infrastructure #SRE #DevOps #Performance

🌩️ Tips of the Day - AWS Solution Architect Associate & Professional Exam🌩️ - 🖥️ Host all three tiers on Amazon EC2 for full control over SQL Server. - 📁 Use Amazon FSx for Windows File Server for managed SMB file sharing. - ⚠️ Avoid Amazon FSx File Gateway for intra-VPC file sharing—it adds unnecessary complexity. - 🚫 Do not use Amazon EFS for Windows-based applications—it only provides NFS access. - 🗄️ Choose Amazon RDS only if it meets your specific SQL Server features; otherwise, EC2 is better. - 🔄 Remember, EBS volumes cannot be shared across multiple Windows EC2 instances—use clustered file systems instead. - 📊 Leverage native SQL Server features like Data Quality Services when hosted on EC2. Try Our Exam Simulator: ======================= Associate - https://lnkd.in/gZPRfixe Professional - https://lnkd.in/garNM--A #CloudComputing, #AWS, #TechTips, #IT, #CloudArchitecture, #AWSSolutionsArchitect, #EC2, #AmazonRDS, #WindowsServer, #SQLServer, #CloudSecurity, #DigitalTransformation

AWS just gave you a reason to stop rewriting your file-system code. Amazon S3 Files lets you mount an S3 bucket like NFS — on EC2, ECS Fargate, and Lambda — with zero changes to your app logic. → Hard prerequisites (versioning, SSE, CLI version) → IAM roles — file system + compute, done right → Network model — TCP 2049, per-AZ mount targets → Full CLI walkthrough for EC2, Lambda & ECS Fargate → Terraform tracks for all three platforms → A final operator checklist before you go live Swipe through 👇 #AWS #CloudEngineering #DevOps #S3 #Infrastructure

S3 is now a File System! AWS introduced S3 Files on April 7, 2026. I’ve just finished testing it and it’s a game changer for shared storage architectures. What I built:  A WordPress site running across multiple EC2 instances using S3 Files as shared storage and RDS as the database. Why this matters:  • Full NFS v4.1+ support • Mount S3 buckets directly on EC2, ECS, EKS, Lambda and Fargate  • ~1 ms latency for active data with high throughput for large reads  • No need for EFS • S3 remains the single source of truth The boundary between object storage and file systems is blurring, simplifying architectures and reducing operational overhead for shared workloads. AWS blog:  https://lnkd.in/gfRE-8z6 #AWS #CloudInfrastructure #AmazonS3 #S3Files #DevOps #CloudEngineering #WordPressOnAWS #SolutionsArchitect

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐄𝐊𝐒? EKS is AWS' Managed Kubernetes Service 𝐖𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐭𝐡𝐢𝐬 𝐦𝐞𝐚𝐧? 1. AWS manages the control plane meaning it's going to provision and all of your 𝑚𝑎𝑠𝑡𝑒𝑟 𝑛𝑜𝑑𝑒𝑠. 2. Install Control plane processes such as: - API Server - Scheduler - Controller Manager - etcd 3. AWS makes it very easy for scaling and backups being an AWS service 𝗪𝗵𝘆 𝗘𝗞𝗦? 1. Running and scaling K8s can be difficult. 2. Properly 𝘀𝗲𝗰𝘂𝗿𝗶𝗻𝗴 K8s increases operational overhead 3. Tight integration with other AWS services CoderCo #K8s #EKS #Containers

🚀 AWS Learning Series — Day 5 | EC2 Practical Today I performed EC2 practical: 🔹 Steps I followed: • Launch EC2 instance • Choose AMI (Ubuntu) • Select instance type • Configure security group • Create key pair • Launch instance 🔹 After Launch • Connected using SSH • Installed packages • Tested server Real-world Use Case: Deploying a web server using EC2. This is how companies deploy applications in AWS. Next → AMI 🚀 #AWS #EC2 #DevOps #CloudComputing #AWSLearning #CloudEngineer

Things AWS bills you for while you sleep: • dev servers nobody is using • staging environments after a deploy • test databases from debugging • EC2 instances someone forgot to stop None of these feel expensive individually. But together they quietly inflate the monthly bill. This is actually what pushed me to start building ParkMyAWS — a scheduler that automatically stops EC2 and RDS instances when nobody needs them and starts them again in the morning. https://www.parkmyaws.com #Laravel #AWS #Solofounder #BuildInPublic

💡Why Your AWS Setup Fails (And How I Fixed It with a Load Balancer) Just built my first scalable setup on AWS! I deployed an application using Amazon EC2 and configured an Application Load Balancer to distribute traffic across multiple instances. Key learnings: How load balancing actually works behind the scenes Importance of health checks & availability zones Debugging real-world issues (timeouts, traffic routing, etc.) It was challenging at first, but seeing traffic successfully distributed across servers was worth it If you're learning AWS, this is a must-try hands-on project! #AWS #CloudComputing #DevOps #Learning #EC2 #LoadBalancer #Tech