Optimizing AWS EC2 Costs with AMIs and Pricing Models

While studying 📚 💻 for the AWS Solution Architect certification ✈️ , I came across an exciting new concept in AWS. AWS has introduced S3 Files, which makes it possible to mount Amazon S3 directly on an EC2 instance like a file system. This means applications can access data in S3 much more easily, simplifying how we work with object storage. With this approach, applications can interact with files stored in S3 while still using familiar file operations and APIs for putting and getting objects. It’s amazing to see how AWS ☁️ continues to innovate and simplify cloud architectures. Learning about new features like this makes the journey of cloud learning even more exciting. #AmazonAmazon Web Services (AWS) #Devops #CloudComputing #AWSSolutionsArchitect

🚨 Most people think “I’ll just reduce the desired capacity” when removing an Amazon Web Services (AWS) EC2 from an Auto Scaling Group. But did you know there’s a safer way to remove a specific instance without impacting the rest of your fleet? aws autoscaling terminate-instance-in-auto-scaling-group \ --instance-id <INSTANCE_ID> \ --should-decrement-desired-capacity Why this matters: ✅ Removes the exact instance safely ✅ Avoids unnecessary replacements ✅ Keeps your ASG predictable and your costs under control Stop guessing. Start terminating smartly. 💡 #AWS #CloudOps #DevOps #AutoScaling #InfrastructureTips #CostOptimization #CloudManagement

🚀 AWS EC2 Launch Template Setup – Hands-on Practice Recently I completed a hands-on project on AWS EC2 Launch Templates. In this project, I learned how to: ✔ Create a Launch Template in AWS EC2 ✔ Configure instance settings (AMI, instance type, key pair, storage) ✔ Understand reusable infrastructure concepts ✔ Launch EC2 instances using templates ✔ Modify configurations based on requirements 💡 Key Learning: Launch Templates help us save time, maintain consistency, and easily integrate with Auto Scaling in real-world cloud environments. This was a great step toward improving my AWS & DevOps skills. 📂 Project Link: https://lnkd.in/gM-vj_9x #AWS #EC2 #DevOps #CloudComputing #LaunchTemplate #LearningByDoing

🚀 Stop Clicking. Start Understanding the Why Behind AWS Services Instead of just “poking around” the console, an AWS certification trains you to think deeper about every service you use. 🤔 Why choose S3 over EBS for storage? ⚡ Why use Lambda instead of EC2 for certain workloads? 📊 Why does DynamoDB scale effortlessly for high-traffic applications? 💰 Why is one architecture more cost-efficient than another? It’s not about memorizing services — it’s about understanding the purpose, trade-offs, and real-world impact behind each decision. 🧠 You start seeing AWS as a system of intentional design choices, not just a collection of tools. And that shift? That’s what turns hands-on experience into real cloud expertise. #AWS #AWSCertified #CloudComputing #DevOps #Learning #TechCareers Amazon Web Services (AWS)

AWS Lambda vs EC2 vs ECS When working in Amazon Web Services, choosing between AWS Lambda, Amazon EC2, and Amazon ECS depends on the needs of the business. Each service has a different purpose. 🔹 AWS Lambda – Good for small tasks that run only when needed. It helps save time and cost because there are no servers to manage. 🔹 Amazon EC2 – Good for applications that need full control of the server and steady performance. Often used for larger or older systems. 🔹 Amazon ECS – Good for running applications in containers and making updates easier as systems grow. My Approach: ✔ Review business and system needs ✔ Choose the best service based on cost, speed, and reliability ✔ Improve security and system uptime ✔ Help move older systems to modern cloud services ✔ Automate setup using Terraform and AWS CloudFormation ✔ Support smooth and safe deployments Bottom Line: Success in the cloud comes from choosing the right tool for the right job. Lambda works well for simple tasks, EC2 gives more control, and ECS helps manage growing applications. #AWS #CloudComputing #AWSLambda #EC2 #ECS #DevOps #CloudEngineer #Technology #CloudServices

🚀 Day 1 – 7 Days of AWS Challenge Started the 7 Days of AWS Challenge today with Shubham Londhe and learned the fundamentals of cloud computing and AWS. ☁️ What I learned: 1️⃣ AWS Pricing Models Pay-as-you-go – pay only for what you use (best for beginners) Reserved Instances – cheaper for long-term usage Spot Instances – very low cost, but can be interrupted 👉 For beginners like me, pay-as-you-go is the way to go because there's no upfront cost. 2️⃣ Cloud Deployment Models On-premises – full control, good for banks and government Cloud – flexible and scalable, perfect for startups Hybrid – a mix of both, used by enterprises migrating to the cloud 3️⃣ Service Models IaaS: EC2, S3 (you control the infrastructure) PaaS: Lambda, Elastic Beanstalk (just write code, AWS handles the rest) SaaS: WorkMail, Chime (ready-to-use software) 4️⃣ AWS Milestones 2006 – AWS launched with S3 & EC2 2014 – AWS Lambda introduced serverless computing Today – AWS powers millions of apps worldwide 💡 Key takeaway: Cloud isn't just about storing data - it's about scaling fast and paying only for what you need. Excited for Day 2! 🚀 #7DaysOfAWS #AWSwithTWS #AWS #CloudComputing #DevOps #LearningInPublic

The first few labs you should do when you start learning AWS: Instead of just reading or watching… start solving real problems 👇 1️⃣ Improve website reliability → Moved a static website to Amazon S3 and hosted it there. 2️⃣ Build a highly available system → Deployed an application across two EC2 instances in different Availability Zones. 3️⃣ Improve application performance → Upgraded an EC2 instance to a more powerful instance type. 4️⃣ Set up secure networking → Configured a VPC with route tables, an internet gateway, and security groups. 5️⃣ Understand cloud cost planning → Created a cost estimate for an EC2-based architecture based on demand. 6️⃣ Work with managed databases → Migrated to Amazon RDS and explored Multi-AZ deployment + read replicas. These are the kind of problems that helped me actually understand AWS. Biggest takeaway: 👉 AWS starts making sense when you stop memorizing services and start connecting them. If you're starting cloud, try learning this way. #AWS #CloudComputing #LearningInPublic #DevOps #Students #Tech

Day 50 & 51 | #90DaysOfDevOps Today I started AWS EC2 service and understood its basic concepts like Region, Availability Zone (AZ), and instance setup. Learning: AWS EC2 (Elastic Compute Cloud): EC2 is used to create virtual servers in the cloud. We can launch, manage, and scale servers based on our needs. What I Did: Created an EC2 instance and explored all configuration options using the pay-as-you-go model. Basic Concepts: Region: A geographical area where AWS data centers are located. Availability Zone (AZ): Multiple isolated data centers inside a region for high availability. User Data Script: Used User Data to automate setup during instance launch. Example: Install packages, start services automatically when instance starts. Launch Template: Created a launch template to reuse configuration like: - AMI - Instance type - Security group - Key pair Helps in launching multiple instances easily. Auto Scaling & Load Balancer: Auto Scaling: Automatically increases or decreases the number of instances based on load. Load Balancer: Distributes incoming traffic across multiple instances to improve performance and availability #DevOps #AWS #EC2 #LearningInPublic #TrainWithShubham

Creating a server in the cloud takes just a few clicks… but understanding what happens behind it is where real learning begins. I explored how to launch an EC2 instance in AWS and realized how concepts like AMI, security groups, and key pairs come together to create a working server. Sharing a simple step-by-step breakdown 👇 #AWS #EC2 #CloudComputing #SoftwareEngineering #DevOps #LearnAWS

I've been learning more about the basics of cloud computing with AWS lately, and some things finally made sense to me: ☁️ Amazon EBS for storage It was a big change to realize that EC2 instances don't just "store data inside themselves." You can attach, detach, and scale EBS like a permanent hard drive. ☁️ Amazon Machine Image machine templates AMIs showed me how important it is to be able to reproduce something. Instead of setting up servers over and over, you can launch the same environments in minutes. ☁️ Scaling with Application Load Balancer and Elastic Load Balancer This is when things started to seem "real." Dividing traffic among several instances and considering availability, fault tolerance, and scaling is a completely different way of thinking. #AWS #CloudComputing #DevOps #EC2 #EBS #AMI #LoadBalancing #ALB #TechLearning #LearningInPublic #CloudJourney #BackendDevelopment #SoftwareEngineering #Scalability #SystemDesign #TechGrowth #BuildInPublic #Developers #CloudEngineer #100DaysOfCloud #Infrastructure #TechCommunity