Shubham Malik’s Post

Day 16 / 30 – AWS Learning Journey ☁️ ✅ What I learned today: - What Amazon CloudWatch is and why it’s essential for AWS workloads - How CloudWatch supports: • Monitoring • Logging • Alarming • Reporting - Difference between default metrics and custom metrics - Observed real‑time metrics and configured monitoring through a demo 🔍 Key takeaway: You can’t improve or optimize what you don’t measure. CloudWatch provides the visibility and observability needed to operate cloud systems reliably. 📘 Resources: • AWS Zero To Hero Course For DevOps Engineers – YouTube • Official AWS CloudWatch Documentation 🎯 Next up: Understanding AWS Lambda and serverless architecture #30DaysOfAWS #AWS #CloudWatch #Monitoring #LearningInPublic

I used to wonder what separates a "cloud engineer" from someone who just passed the AWS exam. The answer? They've actually provisioned something that would break in production. So I'm building it, a full Kubernetes cluster on AWS. Multi-AZ, private subnets, spot instances, bash-automated lifecycle. No tutorials. No sandbox. Just real architecture decisions and their consequences. system that is: • Highly available across multiple Availability Zones • Secure with workloads running in private subnets • Cost-optimized using spot instances • Fully automated from provisioning to teardown Using this architecture as my blueprint, here’s what I’ll be working on: 🔹 Moving from AWS free tier to a production-ready setup 🔹 Designing and provisioning a custom VPC across 3 AZs 🔹 Deploying a kOps Kubernetes cluster 🔹 Containerizing applications with Docker and deploying via Kubernetes manifests 🔹 Automating infrastructure lifecycle with Bash scripts This is the kind of setup behind real-world cloud systems, not just demos. I'll be posting the whole thing as I go, including the parts that break. First update coming soon.. #DevOps #AWS #Kubernetes #CloudEngineering #BuildInPublic

Completed Day 27 of my AWS learning journey, Where I explored Elastic Beanstalk, a Platform as a Service (PaaS) that simplifies application deployment. This session helped me understand how AWS automatically manages infrastructure like EC2, Load Balancer, and Auto Scaling. Through hands-on practice, I deployed an application without manually configuring servers. What I worked on: 🔹 Created an Elastic Beanstalk application 🔹 Selected platform (Python) and sample application 🔹 Created Service Role & EC2 Instance Role 🔹 Configured VPC, availability zones, and instance settings 🔹 Deployed application environment 🔹 Verified EC2 instances created automatically 🔹 Accessed application using generated domain URL Quick Understanding: 🔹 Elastic Beanstalk → Deploy applications without managing infrastructure 🔹 Service Role → Allows Beanstalk to manage AWS resources 🔹 EC2 Instance Role → Grants permissions to instances 🔹 Environment → Runs and manages application setup This session showed how AWS enables fast and easy application deployment with minimal effort. #AWS #ElasticBeanstalk #PaaS #CloudDeployment #EC2 #HandsOnLearning

Day 17 / 30 – AWS Learning Journey ☁️ ✅ What I learned today: - What AWS Lambda is and how serverless architecture works - Key components of serverless computing - Differences between EC2 vs Lambda - When to use server‑based vs serverless architectures - Trade‑offs in cost, scalability, and management 🔍 Key takeaway: Choosing between EC2 and Lambda depends on the use case. Serverless reduces operational overhead, while EC2 offers more control—architecture decisions should be workload‑driven. 📘 Resources: • AWS Zero To Hero Course For DevOps Engineers – YouTube • Official AWS Lambda Documentation 🎯 Next up: Hands‑on cost optimization using AWS Lambda #30DaysOfAWS #AWS #Lambda #Serverless #CloudArchitecture

Completed Day 28 of my AWS learning journey, Where I explored AWS Lambda (Serverless computing) and Route 53 (DNS service). This session helped me understand how automation and domain routing work in cloud environments. Through hands-on practice, I automated tasks using Lambda and configured different routing policies. What I worked on: 🔹 Created an EC2 instance 🔹 Created Lambda function with Python runtime 🔹 Configured IAM role for Lambda 🔹 Wrote code to stop EC2 instance automatically 🔹 Tested Lambda function using events 🔹 Created Route 53 Hosted Zone 🔹 Configured different routing policies 🔹 Tested DNS-based traffic routing Quick Understanding : 🔹 Lambda → Run code without managing servers (serverless) 🔹 IAM Role → Grants permissions to Lambda 🔹 Route 53 → Converts domain name to IP address 🔹 Routing Policies → Controls how traffic is distributed This session helped me understand automation and intelligent traffic routing in AWS. #AWS #Lambda #Route53 #Serverless #CloudAutomation #DNS #HandsOnLearning

🚀 Built a Serverless Image Processor on AWS using Terraform GitHub - https://lnkd.in/gXbPYAfa A backend-focused cloud project where images uploaded to Amazon S3 are automatically processed using AWS Lambda. 🔧 What it does: ✅ Upload image to Source S3 Bucket ✅ S3 event triggers Lambda automatically ✅ Generates multiple optimized variants ✅ Stores outputs in Destination S3 Bucket ✅ Logs & monitoring with CloudWatch 📚 What I learned: - Event-driven architecture - Serverless workflows - Infrastructure as Code with Terraform - Lambda Layers using Docker - IAM permission design This project helped me understand how real platforms optimize uploaded media automatically. #AWS #Terraform #CloudComputing

I just launched new pre-exam quizzes for the Amazon Web Services (AWS) Solutions Architect – Associate (SAA-C03) on CloudCertly. ✅ 6 quizzes are already live 💡 Scenario-based questions inspired by real-world use cases 📈 More questions coming soon! If you're preparing for AWS SAA-C03, this is a great way to practice and check your understanding before the exam. Feel free to try it out and share your feedback! #AWS #AWSCertification #CloudComputing #Learning CloudCertly.com

Happy to share this update 👇 New AWS Solutions Architect – Associate (SAA-C03) practice quizzes are now available on CloudCertly. 6 quizzes are live already, with more questions coming soon. If you’re preparing for Amazon Web Services certifications, feel free to check it out! Amazon Web Services (AWS) #AWS #CloudComputing #AWSCertification #cloud

My 30-Day AWS Terraform Challenge. Day 3/30. Inspired by Piyush sachdeva Today I worked on creating an S3 bucket using Terraform and focused on understanding how authentication and resource provisioning come together in AWS. Instead of just writing code, I spent time understanding how Terraform communicates with AWS and how credentials play a foundational role in every deployment. Key Learnings: • Terraform uses AWS credentials to interact with AWS APIs • Authentication can be configured using AWS CLI, environment variables, or profiles • Amazon S3 is an object storage service used for storing files like backups, logs, and application data • S3 bucket names must be globally unique and follow strict naming conventions • Terraform workflow is simple and powerful: init → plan → apply → destroy • Tagging resources helps with organization and cost tracking What I built: • A simple S3 bucket using Terraform • Configured AWS provider with region • Applied infrastructure changes and verified in AWS This day reinforced a key idea: Cloud infrastructure is not just about creating resources, it’s about understanding how systems securely connect and operate together. Building step by step. Full blog here: https://lnkd.in/gYgNXrzr GitHub repo: https://lnkd.in/gmsCBxZi #30DaysOfAwsTerraform #Terraform #DevOps #AWS #CloudEngineering

What is AWS Lambda?🚀 AWS Lambda is a serverless compute service that lets you run code without managing servers. You simply upload your code, and Lambda takes care of scaling, execution, and infrastructure — you only pay for what you use. It’s perfect for building event-driven, scalable applications with minimal operational overhead. 📚 Recently, I completed the course: AWS Lambda - A Practical Guide - Learn from an Expert Big thanks to Daniel Galati for such a clear and practical learning experience! I’ve also compiled my notes from the course here: https://shorturl.at/aT2sm This journey helped me better understand concepts like serverless architecture, event-driven systems, and how Lambda integrates with other AWS services. #AWS #Lambda #Serverless #CloudComputing #Learning #Udemy #DevJourney