Mastering AWS: Focus on Core 15 Services

Built a Modular AWS Infrastructure using Terraform — and it actually works end-to-end! From IAM users & policies → VPC (with public/private subnets) → EC2 deployment… all structured using reusable modules and separate dev & prod environments. Learned how real-world infrastructure is designed — clean, scalable, and automated. Live on GitHub: https://lnkd.in/gQsjg6QQ Developed under the guidance of Dr. Swapnil D. Waghmare. Curious what you think — feedback welcome #Terraform #AWS #DevOps #InfrastructureAsCode #Cloud #LearningInPublic

🚀 AWS Cloud Mindmap – A Practical Guide for Cloud Engineers Sharing a visual overview of key AWS services that every Cloud & DevOps Engineer should be familiar with. This mindmap covers essential domains: 🔹 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) #AWS #DevOps #Mindmap #Cloud #AWS Cloud

Your AWS bill is high for a reason. And it’s usually not pricing. It’s small mistakes repeated over time. I’ve seen teams: • Keep resources running “just in case” • Skip monitoring completely • Choose bigger instances than needed Individually small. Together expensive. The problem is — no one notices early. Swipe to see the most common AWS cost mistakes → I break down real DevOps problems like this 🚀 #aws #cloud #devops #softwareengineer #cloudengineering #finops

🚀 Day 29 of My DevOps Journey Today, I learned how to handle real-world traffic using AWS Auto Scaling and Load Balancer 🔥 💡 What I learned: Load Balancer distributes traffic across multiple servers, and Auto Scaling adjusts resources based on demand. 🛠️ What I did: ✔️ Created an AMI from EC2 ✔️ Configured Auto Scaling group ✔️ Set scaling policies ✔️ Deployed a Load Balancer 🔥 Realization: Building applications is not enough — they must be scalable and reliable under heavy load. 🚀 Small win today: Successfully created a scalable cloud architecture! Now I understand how real systems handle millions of users 💪 #DevOps #AWS #AutoScaling #LoadBalancer #Cloud #LearningJourney

Over the past few days, I designed and deployed a personal cloud environment on AWS using Terraform, allowing me to connect the dots between infrastructure as code, automation, and cloud architecture. What I implemented: - VPC with a /26 CIDR block for scalability - Public subnet with Internet Gateway - EC2 instance with IAM role-based access (no static credentials) - Security Group with restricted SSH access - Terraform installed on EC2 for infrastructure management To validate the setup, I successfully provisioned an S3 bucket directly from the instance using Terraform. This project is designed to evolve — next steps include adding private subnets, RDS, and serverless components like Lambda, SNS, and SQS. 💻 Check out the code here: https://lnkd.in/e_6EnV3T #AWS #Terraform #CloudComputing #DevOps #InfrastructureAsCode #CloudEngineering

🚀 AWS DevOps Series — Day 11 Tomorrow, we are diving into one of the most critical services in production: 👉 Amazon RDS (Multi-AZ, Backups) 🔍 What you will learn: ✅ Multi-AZ for High Availability & Automatic Failover ✅ Automated Backups (Point-in-Time Recovery) ✅ Manual Snapshots for Safe Deployments 💡 In real-world systems, it's not about if your database fails — it's about how fast you can recover. This session is focused on production-ready concepts + hands-on demo. 📅 Date: 6 April ⏰ Time: 10:00 PM IST If you're serious about DevOps & Cloud — don’t miss this 🚀 #AWS #RDS #DevOps #CloudComputing #Learning #TechWithDiwana #Day11

🚀 AWS DevOps Series — Day 11 Today we are diving into one of the most critical services in production: 👉 Amazon RDS (Multi-AZ, Backups) 🔍 What you will learn: ✅ Multi-AZ for High Availability & Automatic Failover ✅ Automated Backups (Point-in-Time Recovery) ✅ Manual Snapshots for Safe Deployments 💡 In real-world systems, it's not about if your database fails — it's about how fast you can recover. This session is focused on production-ready concepts with hands-on demo. 📅 Date: 6 April ⏰ Time: 10:00 PM IST If you're serious about DevOps & Cloud — don’t miss this 🚀 #AWS #RDS #DevOps #CloudComputing #Learning #TechWithDiwana #Day11

AWS cost optimization is a skill most teams learn too late. Working in cloud infrastructure shown me how quickly costs compound when teams move fast without cost awareness. Common leaks I've seen: → NAT Gateways transferring TBs of unintended traffic → EBS volumes attached to stopped instances → Unused Elastic IPs sitting idle → Over-provisioned RDS instances The cloud bill is honest. Your architecture tells you the truth. Every engineer should understand the cost implications of what they deploy. Have you ever found an unexpected AWS cost leak? #AWS #CloudCost #FinOps #DevOps #CloudComputing

Mastering the Terraform "Conversation." 🗣️☁️ Writing the code is only half the battle. Understanding the lifecycle of a deployment is where the real magic happens. Here is my 4-step checklist for every change: 1️⃣ terraform init: The handshake. It initializes the backend and downloads the necessary provider plugins (like Azure or AWS). 2️⃣ terraform validate: The sanity check. It ensures my configuration is syntactically correct before I even touch the cloud. 3️⃣ terraform plan: The safety net. It shows exactly what will be Added, Changed, or Destroyed. Never skip this step! 4️⃣ terraform apply: The execution. Bringing the code to life and provisioning the actual resources. Which of these steps do you find the most critical in your daily workflow? #DevOps #InfrastructureAsCode #Terraform #Azure #Automation#AWS

Did you know one of the most important AWS services for modern applications requires no server management at all? 🤯 After clearing my AWS Cloud Practitioner and AWS Solutions Architect certifications, AWS Lambda AWS Lambda is the backbone of serverless computing in AWS. It allows you to run code without provisioning or managing servers, making applications more scalable and cost-efficient. 🔹 Why AWS Lambda is important: ✔ Core service in serverless architecture ✔ Works seamlessly with S3, API Gateway, DynamoDB & more ✔ Automatically scales from zero to millions of requests ✔ Pay only for what you use 🔹 Real-world example: Upload a file to S3 → Lambda triggers automatically → processes the file (resize, transform, etc.) This is why AWS Lambda is a must-know service for anyone preparing for cloud roles. Looking forward to diving deeper into more AWS services 🚀 #AWS #CloudComputing #Serverless #AWSSolutionsArchitect #LearningInPublic #CloudEngineer #WomenInTech