AWS CloudWatch Essentials for Workloads Monitoring

Exploring AWS today 🚀 Spent time diving deeper into core AWS services and strengthening my understanding of cloud infrastructure and automation. From working with EC2, S3, and IAM to exploring EKS and CloudWatch, it’s impressive how AWS enables scalable, secure, and highly available systems. What stood out most is how Infrastructure as Code (Terraform/CloudFormation) and CI/CD pipelines integrate seamlessly with AWS to create efficient, production-ready environments. Continuously learning and building in the cloud space — one step closer to mastering scalable system design and reliability engineering. #AWS #CloudComputing #DevOps #CloudEngineering #Terraform #Kubernetes #Learning #TechJourney

Day 7 / 30 – AWS Learning Journey ☁️ ✅ What I learned today: - Designed and created a production‑level AWS VPC project - Applied concepts learned earlier: • Subnets • Route Tables • Internet Gateway & NAT Gateway • Security Groups and NACLs - Understood how different AWS networking components work together in a real setup 🔍 Key takeaway: Hands‑on projects bring clarity. Building a VPC from scratch helped connect theoretical concepts with real‑world cloud architecture. 📘 Resources: • AWS Zero To Hero Course For DevOps Engineers – YouTube • Official AWS Documentation 🎯 Next up: Week‑1 revision & interview question practice #30DaysOfAWS #AWS #VPC #CloudArchitecture #HandsOnLearning

🚀 AWS Learning Journey – Day 17 Continuing my learning through the AWS Zero to Hero series by Abhishek Veeramalla. Today I explored AWS Lambda and understood the concept of serverless computing in AWS. AWS Lambda is a service that allows us to run code without managing servers. Instead of creating and maintaining EC2 instances, we can simply upload code, and AWS takes care of execution, scaling, and infrastructure management. Lambda functions are triggered by events such as file uploads, API requests, or changes in AWS services. This makes it possible to build event-driven applications that automatically respond to different actions. One of the key advantages of Lambda is that it follows a pay-as-you-use model, where you are charged only for the actual execution time of your code. Because there is no need to manage servers, AWS Lambda helps in building scalable, cost-efficient, and highly available applications. #AWS #Lambda #Serverless #CloudComputing #DevOps #LearningInPublic #TechJourney

Day 4 / 30 – AWS Learning Journey ☁️ ✅ What I learned today: - What Amazon VPC (Virtual Private Cloud) is — a logically isolated, private, and secure network in AWS - How VPC allows you to launch and manage AWS resources within your own network - High‑level VPC architecture, including how traffic flows between components - Core VPC components: • Subnets – logical IP address ranges within a VPC • Route Tables – define how network traffic is directed • Internet Gateway – enables communication with the internet • NAT Gateway – allows outbound internet access for private resources • Security Groups & NACLs – control inbound and outbound traffic 🔍 Key takeaway: VPC acts as the networking foundation of AWS. Understanding how subnets, gateways, and routing work together is essential before designing or deploying production‑grade cloud applications. 📘 Resources: • AWS Zero To Hero Course For DevOps Engineers – YouTube • Official AWS Documentation 🎯 Next up: Hands‑on with VPC networking — subnets, security groups, and real traffic flow scenarios #30DaysOfAWS #AWS #VPC #CloudNetworking #LearningInPublic

Today I realized something important while learning cloud and DevOps. Many people think cloud is only for hosting applications. Even I used to think the same before. But cloud is much more than that. It helps us run applications, store data, secure systems, monitor performance, automate deployments, and even analyze data. Also, DevOps is not a tool or a console. It is a way of working where development and operations come together to build and deliver applications faster and better. Instead of doing everything manually, we automate the process and reduce errors. Now I understand that learning cloud is not about remembering services. It is about understanding why we use them and when to use them. I made a simple video explaining AWS services in real-world way. If you are learning cloud, this might help you: Channel: https://lnkd.in/eNUiNRKW Video Link : https://lnkd.in/ghTv66bb Slowly learning, but learning the right way. #AWS #CloudComputing #DevOps #LearningJourney #SystemAdministrator #ITCareer #CloudEngineer #TechLearning #CareerGrowth #ContinuousLearning

As part of my cloud learning journey, I explored AWS Lambda and Route 53 in Amazon Web Services. I practiced creating Lambda functions using Python and configured IAM roles to perform tasks like stopping EC2 instances, deleting unused EBS volumes, and releasing unused Elastic IPs. I tested these functions to understand how serverless automation works in real-time. I also worked on Route 53 by creating hosted zones and configuring different routing policies such as simple, weighted, latency, failover, geolocation, geoproximity, and IP-based routing to manage traffic efficiently. This hands-on experience helped me understand how Lambda enables serverless automation and how Route 53 provides scalable and reliable traffic routing in cloud environments. Sharing my assignment work as part of continuous learning and practical experience. #AWS #Lambda #Route53 #CloudComputing #DevOps #Serverless #HandsOnLearning #CloudJourney

🚀 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

🚀 Day 28 of My Cloud Learning Journey – AWS Lambda & Route 53 Today, I explored two powerful AWS services: AWS Lambda and Amazon Route 53. 🔹 AWS Lambda (Serverless Computing): Lambda allows us to run code without managing servers. It automatically scales, is cost-efficient (pay-per-use), and integrates securely with IAM. 💡 What I did practically: Created a Lambda function Configured IAM roles Tested events Wrote code to automatically stop EC2 instances Automated tasks like deleting unused EBS volumes & Elastic IPs 🔹 Amazon Route 53 (DNS Service): Route 53 helps route user traffic by translating domain names into IP addresses and directing requests efficiently. 🌐 Routing Policies I Learned: Simple Routing Weighted Routing Latency-Based Routing Failover Routing Geolocation Routing Geoproximity Routing Multi-Value Routing IP-Based Routing 📌 Also understood key concepts like: ✔️ Traffic (user requests) ✔️ Alias records (point domain to AWS resources) ✨ This session gave me hands-on experience in automation and traffic management in AWS. Excited to keep learning and building more real-world cloud solutions! ☁️🔥 #AWS #Lambda #Route53 #CloudComputing #Serverless #DNS #LearningJourney #DevOps

Curious about how Infrastructure as Code (IaC) can spin up and manage cloud infrastructure in minutes ⏱️ Explored this using Terraform on Amazon Web Services (AWS) by organizing multiple environments (dev, staging, production) through reusable modules and variable-driven configurations. Seeing infrastructure scale just by tweaking a few inputs was a great learning experience. Attaching a simple architecture diagram 👇 #Terraform #AWS #IaC #DevOps #CloudComputing