Gowtham K L’s Post

𝗗𝗲𝗽𝗹𝗼𝘆 𝗙𝗹𝗮𝘀𝗸 𝗔𝗽𝗽 𝗼𝗻 𝗔𝗪𝗦 𝗘𝗖𝗦 𝗙𝗮𝗿𝗴𝗮𝘁𝗲 (𝗣𝗮𝗿𝘁 𝟱 𝗼𝗳 𝗼𝘂𝗿 𝗗𝗲𝘃𝗢𝗽𝘀 𝗝𝗼𝘂𝗿𝗻𝗲𝘆) Today, we're going deploy a containerized Flask application on AWS ECS Fargate using ECR, Load Balancer, Security Groups, and Task Definitions. Key learning: - Fargate is fully serverless: no EC2 instance mgmt 🙌 Go and deploy your ECS application. Blog link is in the comment section. Happy & Fun Learning Chetan Mohod #AWS #DevOps #ECS #Fargate #CloudComputing #Docker #Python #Flask #Hashnode

🚀 The Power of Python + AWS: Building Scalable Cloud Solutions 🚀 As a software engineer, I'm constantly amazed by how Python and AWS complement each other perfectly for building robust, scalable applications. 💡 Here's why this combo is a game-changer: 🐍 Python's Versatility: • Simple, readable syntax that accelerates development • Rich ecosystem with libraries like Boto3 for AWS integration • Perfect for automation, data processing, and ML workloads ☁️ AWS's Cloud Power: • Lambda for serverless Python functions • EC2 for scalable compute resources • S3 for limitless storage • RDS for managed databases • SageMaker for ML model deployment 🔥 Real-World Impact: Whether you're automating infrastructure with Python scripts, building serverless APIs, or deploying ML models - this stack delivers! 💼 As someone who works with these technologies daily, I can say: The learning curve is worth it. The possibilities are endless. What's your favorite Python + AWS use case? Drop your thoughts below! 👇 #Python #AWS #CloudComputing #DevOps #ServerlessArchitecture #MachineLearning #TechInnovation #SoftwareEngineering

🚀 Architecting the Future: Launching into Python for Serverless & Automation on AWS! Starting a strategic course focused on mastering the intersection of Python and advanced AWS services. This isn't just about scripting; it’s about building highly scalable, secure, and automated cloud solutions. The Core Pillars of Cloud Mastery The curriculum is meticulously designed to move from robust Python fundamentals (covering variables, conditionals, functions, lists, and dictionaries) to sophisticated enterprise architecture: Serverless Architectures: I'll be deploying complete serverless solutions using Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. This foundation is critical for developing modern, cost-efficient microservices. Intelligent Automation: The focus then shifts to practical, real-world application, writing and running powerful automation scripts with Python and AWS Systems Manager. This empowers essential automation for Support and Operations. Data & Security: The course also integrates crucial topics like managing data with Amazon RDS and Amazon DynamoDB , all while enforcing robust access control using AWS IAM roles and safeguarding credentials with AWS Secrets Manager. This course is designed to give a deep conceptual understanding of Python and how to use it strategically for enterprise-level automation. I am committed to leveraging these skills to drive significant efficiency and innovation in cloud operations. Let's Connect on Cloud Strategy! For my network focused on cloud and DevOps: What Python library or AWS service do you believe is currently the single most underestimated tool for automation? Share your insights below—I'm ready to learn from your experience! 👇 #AWS #Python #Serverless #Automation #CloudArchitecture #LinkedInLearning #CareerGrowth

Built a Python script that automatically generates unique EC2 instance names for AWS environments. The Problem: Multiple teams sharing one AWS account = naming chaos and confusion about resource ownership. The Solution: Python automation that creates standardized names in seconds: FINANCE-EC2-M4X9K2P7 Key Benefits: ✅ Eliminates manual errors ✅ Saves time at scale ✅ Easy resource identification ✅ Ready for production use Simple project, real-world impact. Check out the full write-up and code on my GitHub! #AWS #Python #CloudEngineering #DevOps #Automation #EC2 #CloudComputing #TechProjects #Level Up In Tech

My First Deployed Cloud Project After months of learning AWS, Python, and Infrastructure-as-Code, I’m proud to share my live Cloud Resume Project, fully built and deployed on AWS using modern cloud-native services. This project helped me gain hands-on experience with: ✅ Amazon S3: hosting my static site (HTML, CSS, JS) ✅ CloudFront + Route 53: secure global CDN and custom domain setup ✅ AWS Lambda & API Gateway: serverless backend for my visitor counter ✅ DynamoDB: persistent data layer for tracking visits ✅ IAM & Policies: fine-grained permissions and security ✅ Terraform: Infrastructure-as-Code for full automation 💡 Tech Highlights Fully automated with Terraform (no manual console setup) Includes a dynamic visitor counter via Lambda + DynamoDB Custom responsive portfolio design Supports dark/light theme toggling CI/CD-ready for future updates This project wasn’t just about building, it was about understanding how cloud components work together to create scalable, secure, and automated infrastructure. 🔗 Live Demo: pfourie.com 📂 GitHub Repo: https://lnkd.in/d9JYAkT4 #CloudComputing #AWS #Terraform #DevOps #Serverless #CloudEngineering #Portfolio #LearningInPublic #CareerGrowth

🚀 Built a Python (Boto3) script to detect unused AWS resources and reduce cloud costs. The problem? Our AWS bill was creeping up month after month. After investigating, I found: • Unattached EBS volumes sitting idle • Elastic IPs not associated with any instances • Old snapshots we no longer needed • Unused Load Balancers All of these were costing us money. Every. Single. Month. So I built an automation script using Python and Boto3: What it does: ✅ Scans all regions for unused resources ✅ Identifies idle EBS volumes, unattached EIPs, old snapshots ✅ Generates a detailed report with cost estimates ✅ Optionally deletes resources (with confirmation) Here's what I learned: 🔹 Boto3 is powerful but requires proper IAM permissions Make sure your script has read-only access first, then add delete permissions after testing. 🔹 Always add dry-run mode Never delete resources without confirmation. Safety first! 🔹 Cost visibility is critical You can't optimize what you can't see. Regular audits are essential. 🔹 Automate repetitive tasks Manually checking resources across regions? That's what scripts are for. The result? We reduced our AWS bill by 20% in the first month. Next step: Scheduling this script to run weekly and send reports automatically. What's your favorite AWS cost-optimization strategy? #AWSAutomation #Python #Boto3 #DevOps #CloudCost #CostOptimization #AWS #Automation

🧩 Task 2: Deploying a Python App using AWS ECR & ECS (Fargate) Today’s task focused on containerizing and deploying a simple Flask-based CRUD application using AWS Elastic Container Registry (ECR) and Elastic Container Service (ECS) with Fargate launch type. 🧱 Steps Performed: 1️⃣ Built a Docker image for the Flask application. 2️⃣ Tested the container locally on port 5000 to ensure functionality. 3️⃣ Created a private ECR repository named vijayproject. 4️⃣ Tagged and pushed the image (myapp:latest) to Amazon ECR. 5️⃣ Defined an ECS Task Definition referencing the ECR image. 6️⃣ Allocated 1 vCPU and 2GB Memory, with port mapping 5000:5000. 7️⃣ Added a health check endpoint to monitor container status. 8️⃣ Deployed the task on AWS Fargate with a public IP (no Load Balancer due to Free Tier setup). 9️⃣ Verified successful application deployment within ECS. 🚀 🎯 Outcome: This task provided hands-on experience in building, containerizing, and deploying an application using AWS-managed services — a key step in understanding real-world DevOps and Cloud deployment pipelines. #Task2 #DevOps #AWS #ECR #ECS #Docker #Fargate #Python #Flask #CloudDeployment #Containerization #AWSProjects

PDF Guide, 60 pages. Learn to create AI agents on Google Cloud using the Agent Development Kit ( which can be used with Python or Java ) https://lnkd.in/eTSSw4Tv

Another night of Python upskilling. When I first encountered Amazon Web Services (AWS) Lambda a couple of years ago, I was clueless as to how to use it. After using it several times over the past couple of years in various projects I've worked on, I can say i am comfortable with Lambda and its ability to automate a repetitive task based off of events. An example of how I've used Lambda is featured in this article of implementing Object Lock on an S3 bucket 👉🏾: https://lnkd.in/eSymAZcp Take notice. #cloud #devops #cloudengineer #devopsengineer #aws #cloudcomputing #softwaredevelopment #tech #freeagent #inspire #levelup #labeveryday