Master AWS with 5 core layers

𝗦𝘁𝗼𝗽 𝗼𝘃𝗲𝗿𝗹𝗼𝗮𝗱𝗶𝗻𝗴 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳 𝘄𝗶𝘁𝗵 𝟮𝟬𝟬+ 𝗔𝗪𝗦 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀. 🛑 You don’t need all of them. You only need the right foundation. Most engineers get stuck in “AWS overload” — trying to learn everything → mastering nothing. But real-world systems are built on just a few core layers: 𝗖𝗼𝗺𝗽𝘂𝘁𝗲: Where your code runs → EC2, Lambda, ECS 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 & 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲: Where your data lives → S3, RDS, DynamoDB 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴: How services connect → VPC, Route 53, Load Balancer 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Who can access what → IAM, KMS Master these → you’re already ahead of most beginners. Whether you're preparing for AWS exams or building projects, focus on depth over breadth. 💬 Which AWS service do you use the most daily? #AWS #DevOps #CloudComputing #SoftwareEngineering #Learning

🚀 AWS Basics Simplified I’ve started strengthening my fundamentals in AWS & Cloud, and here are some important concepts explained in simple terms 👇 🔐 1. AWS Root User Only ONE root user per AWS account Has full access to everything ❌ Never use for daily tasks 👉 Best Practice: Use IAM Users for daily work with admin permissions 🌍 2. AWS Region A geographical area where AWS has data centers Each region contains multiple Availability Zones (AZs) 💡 Why Regions? ✔ Low latency ✔ High availability ✔ Disaster recovery ✔ Compliance 🔑 3. Key Pair (EC2 Login) Used to securely connect to EC2 Works on public + private key concept No password needed 📌 Important: Stored in: ~/.ssh/authorized_keys Region-specific Private key must be 🔐 💾 4. EBS Volume (Storage) Acts like a hard disk for EC2 ❌ Cannot be attached to multiple EC2 at same time ✅ Can be detached & reattached 💡 Think of it like a USB drive 📸 5. Snapshot Backup of EBS volume Stored in S3 (Region level) Incremental → saves cost 🧠 Remember: 👉 Volumes live in AZ, Snapshots live in Region 🧩 6. AMI (Amazon Machine Image) Template to launch EC2 Contains OS + software + configs 💡 Use case: Launch multiple identical servers quickly 📌 My Key Learnings ✔ Root user is only for emergency ✔ IAM is must for security ✔ Everything in AWS is scoped (AZ / Region / Global) ✔ AMI + Snapshot + EBS are deeply connected 📚 I’ll be sharing more AWS & DevOps concepts in upcoming posts. Stay tuned! #AWS #CloudComputing #DevOps #LearningJourney #BeginnerFriendly #EC2 #IAM #CloudBasics

I’ve been learning AWS core services and wanted to put together a simple breakdown with real-time examples. In this video, I covered the key areas that are actually used in most projects: Compute (EC2, Lambda), Storage (S3, EBS), Database (RDS, DynamoDB), Networking (VPC, CloudFront), and Security (IAM). Instead of just theory, I tried to explain how these are used in real-world scenarios like websites, applications, and company infrastructure. This helped me understand how everything connects in cloud environments, especially from a job perspective in Cloud and DevOps roles. If you’re starting with AWS or trying to get job-ready, this might be useful. Here’s the video: https://lnkd.in/gpBuBvEk Open to feedback and suggestions. #AWS #CloudComputing #DevOps #AWSCertification #CloudCareers #Learning

Using Multiple AWS Accounts via CLI If you’re working across Dev, QA, and Prod, you’ve probably done this a lot: Running the same AWS command again and again with different --profile values. Here’s a cleaner and safer way to handle it using the AWS CLI. Step 1: Configure profiles (one-time setup) aws configure --profile account1 aws configure --profile account2 Step 2: Set default profile for your session export AWS_PROFILE=account1 Now you can run: aws ec2 describe-instances aws s3 ls 👉 No need to add --profile every time Switching accounts becomes easy export AWS_PROFILE=account2 Now all commands run in your second account Real-World Lesson: I’ve seen people accidentally run commands in the wrong account 😅 👉 Always double-check before running critical operations: echo $AWS_PROFILE Pro Tip: In enterprise setups, prefer SSO over static access keys: aws configure sso Why these matters Cleaner commands Faster workflow Reduces human error (especially in PROD) Must-have skill for Cloud/DevOps engineers #AWS #Cloud #DevOps #AWSTips #CLI #CloudEngineer

Today I worked on creating an AMI for an EC2 instance in the us-east-1 region using the AWS CLI. Command used: aws ec2 create-image --instance-id --name "" --region us-east-1 Verification: aws ec2 describe-images --image-ids --query "Images[*].State" --region us-east-1 Result: "available" 🎉 #AWS #EC2 #CloudComputing #DevOps

☁️ AWS Cheat Sheet 2026: The Services You Actually Need to Know ☁️ With 200+ services, AWS can feel like a labyrinth. But for 90% of use cases, you only need to master the "Core 20." Here is a breakdown of the essentials for every Cloud & DevOps Engineer. 👇 🏗️ 1. Compute (The Brains) EC2: Virtual servers. You manage the OS. Lambda: Serverless functions. Run code without provisioning servers. Fargate: Serverless containers. Run Docker without managing EC2 instances. 📦 2. Storage (The Memory) S3: Object storage. Infinite scaling for images, logs, and static sites. EBS: Block storage. Hard drives for your EC2 instances. EFS: Shared file system. One "drive" connected to multiple servers. 🌐 3. Networking (The Roads) VPC: Your private, isolated section of the AWS cloud. Route 53: Scalable DNS and domain registration. CloudFront: Content Delivery Network (CDN) to speed up your app globally. ALB/NLB: Load balancers to distribute traffic across your targets. 🗄️ 4. Databases (The Filing Cabinet) RDS: Managed Relational DBs (MySQL, Postgres, SQL Server). DynamoDB: Ultra-fast, serverless NoSQL database. ElastiCache: In-memory caching (Redis/Memcached) for speed. 🛡️ 5. Security (The Guard) IAM: Identity & Access Management. Who can do what? (Always follow Least Privilege). Secrets Manager: Securely store and rotate API keys and passwords. KMS: Key Management Service. Encrypt your data at rest. 🚀 6. DevOps & Automation (The Factory) CodePipeline: Orchestrates your CI/CD workflow. CloudFormation / CDK: Infrastructure as Code (IaC). Define your cloud in JSON, YAML, or TypeScript/Python. EKS: Managed Kubernetes (The industry standard for container orchestration). CloudWatch: Monitoring, logs, and alarms to see if things are breaking. 💡 Pro-Tip: If you are just starting, focus on IAM, VPC, EC2, and S3. They are the four pillars that almost every other service is built upon. What AWS service was the hardest for you to wrap your head around? For me, it was definitely VPC networking! Let's discuss in the comments. 💬 #AWS #CloudComputing #DevOps #SolutionsArchitect #TechCareer #AmazonWebServices #CloudNative #LearningPath

One of the most meaningful AWS S3 updates in years just dropped and it quietly fixes a problem developers have dealt with for over a decade. If you’ve worked with Amazon Web Services S3, you already know: • You try multiple bucket names • You hit “Already Exists” • You lose time before deployment even begins That friction has been part of the workflow for far too long. AWS has now introduced Account Regional Namespaces for S3. 🔗 https://lnkd.in/dPFMGgef What this means in practice: ✅ Bucket names can now live within an account-scoped namespace ✅ You can use predictable names like logs, assets, data ✅ No more trial-and-error naming just to get started To be clear - global uniqueness isn’t entirely gone. But for most real-world use cases, the problem is effectively solved. And that’s what makes this important. Because the best platform improvements aren’t always new features they’re the ones that remove everyday friction. This is a small architectural shift with a massive developer experience impact. #AWS #CloudComputing #DevOps #S3 #CloudArchitecture #TechUpdate #SoftwareDeveloper #Cloud #S3Update #Architecture #IT #Developer

🚀 I recently played around with Amazon S3 Files on AWS, and it turned out to be a pretty interesting experience. * I set up a public EC2 instance, connected to it, and mounted S3 Files so I could interact with an S3 bucket like it was just a normal folder. * One thing I noticed right away was that changes didn’t show up in S3 instantly — there was roughly about a 60-second delay. * It works fine for basic file-style access, especially if your goal is just to avoid writing custom S3 integration logic. * That said, it’s still important to be clear on what this is (and what it isn’t) before using it in production. * It’s also worth noting that it’s not a replacement for EFS. EFS is built for real-time file system workloads, while S3 Files is more of a convenience layer on top of object storage. * Where it actually becomes useful is in batch-heavy and data-driven workloads — things like ETL pipelines, log processing, data lake ingestion, ML training jobs, and analytics tasks where large files are processed in chunks. #AWS #Cloud #S3 #DevOps

🚀 Why is AWS Lambda called “Serverless”? And how it works with CloudWatch? At first glance, “serverless” sounds like there are no servers at all 🤔 But the reality is servers still exist… you just don’t manage them. 👉 That’s why AWS Lambda is called serverless. 💡 Why “Serverless”? No server provisioning No OS maintenance No scaling worries No capacity planning AWS handles everything behind the scenes from infrastructure to scaling. 🎯 We focus only on writing code. AWS takes care of where, when, and how it runs. ⚙️ How Lambda Works : Event occurs (API call, S3 upload, scheduler, etc.) Lambda function is triggered AWS spins up a runtime environment Code executes Environment scales automatically based on demand 🔍 Where CloudWatch fits in? This is where things get powerful. 👉 Amazon CloudWatch + Lambda = Visibility + Monitoring 💡 What CloudWatch does for Lambda: 📊 Logs: Automatically captures logs (console.log / print statements) 📈 Metrics: Tracks invocations, duration, errors, throttles 🚨 Alarms: Alerts you when something goes wrong 📉 Performance Monitoring: Helps identify slow executions #aws #cloud #devops #cloudengineer #devopsengineer #monitoring #logging #cloudwatch #compliance #amazon #lambda #cloudtril

Today I worked on creating a volume snapshot in the us-east-1 region using the AWS CLI. This is a common practice for backups or before performing risky system updates. Command used: aws ec2 create-snapshot --volume-id --description "" --tag-specifications 'ResourceType=snapshot,Tags=[{Key=Name,Value=}]' --region us-east-1 Verification: aws ec2 describe-snapshots --snapshot-ids --query "Snapshots[*].State" --region us-east-1 Result: "completed" 🎉 #AWS #EC2 #CloudComputing #DevOps