Gokulakrishnan S’ Post

🚀 How I Scaled My Personal Projects Using AWS Services 🌩️ Scaling an application can feel like a niiiightmare sometimes, but with AWS, it became a smooth and efficient journey for me, I love AWS btw. Let me share how I took some personal projects to the next level with these fantastic services: 1️⃣ AWS Lambda: Embracing serverless architecture was a game-changer! Handling thousands of concurrent requests effortlessly meant I could focus on writing scalable code without worrying about infrastructure management. Less stress, more productivity! 😁 2️⃣ Amazon S3: Storing and serving static assets like images and videos became easy peasy. S3 offered high availability, VEEERY GOOD security, and was cost-effective. And when I integrated S3 with CloudFront, I provided fast content delivery around the world. Win-win! 3️⃣ Amazon RDS: Scaling the database was crucial. With Amazon RDS, managing the relational database was a piece of cake. Automated backups, software patching, and read replicas helped distribute the load efficiently. 4️⃣ Elastic Load Balancing (ELB): Increased traffic? No problem!!! (This service is REALLY AMAZING) ELB automatically distributed incoming traffic across multiple targets, ensuring fault tolerance and high availability. It made handling spikes in traffic so much easier. 5️⃣ Amazon CloudWatch: Monitoring and logging are pivotal for any application. CloudWatch provided real-time insights into my apps performance and helped quickly identify and resolve issues before they affected users. Peace of mind, always. 6️⃣ AWS Auto Scaling: Adjusting the number of EC2 instances based on demand ensured optimal performance while keeping costs in check. No more over-provisioning, just the right resources at the right time. By leveraging these AWS services, I built a scalable, resilient, and cost-effective architecture that grows with the user base. 🌱✨ #AWS #CloudComputing #Serverless #Scalability #FullstackDevelopment #TechInnovation

Successfully Deployed Dynamic Portfolio Website with AWS ( Amazon Web Services ) I’m excited to share my latest project, where I leveraged AWS services to automate the deployment and management of a dynamic website! Key Services Used: AWS CodePipeline: For setting up an automated CI/CD pipeline to streamline code updates. AWS CodeDeploy: To automatically deploy code to Amazon EC2 instances. Amazon EC2: For scalable computing power and hosting the application. Amazon S3: For storing static assets like images and scripts. Amazon CloudFront: To improve website performance by caching content globally. AWS CloudTrail & CloudWatch: For tracking activities and monitoring performance metrics. Amazon SQS & SNS: For reliable messaging between application components and sending notifications. Amazon VPC: For setting up a secure and isolated network for my infrastructure. What I achieved: Automated deployment from code commits to production with zero downtime. Scaled web applications dynamically based on user traffic using EC2 autoscaling. Monitored and optimized performance with CloudWatch and set up SQS queues for improved message processing. Strengthened security and auditability using CloudTrail for logging API activity. I’m thrilled to have successfully implemented AWS DevOps practices in this project! #AWS #DevOps #CodeDeploy #CodePipeline #CloudEngineering #Automation #CICD #CloudEngineer #AamzonWebServices #EC2 #DevOpsEngineer

Welcome to our comprehensive video on creating secure ALB & Target Groups in AWS! 🌐 In this tutorial, we’ll walk you through a step-by-step process to set up an **Application Load Balancer (ALB)** and target groups, essential components for scalable and secure architecture. **🔍 What You’ll Learn:** - **Creating EC2 Instances:** Understand the basics of setting up and securing EC2 instances. - **Setting Up ALB:** Learn how to create an Application Load Balancer that distributes incoming traffic across multiple targets, ensuring high availability and fault tolerance. - **Configuring Target Groups:** See how to configure target groups to manage your EC2 instances efficiently. - **Securing Your Setup:** Discover best practices for securing your AWS environment, including configuring security groups and SSL certificates. **Why Watch This Video?** - **Whether you’re a beginner or an experienced developer,** this tutorial is tailored to help you master AWS load balancing and auto-scaling. - **Hands-On Learning:** Follow along with practical steps and detailed explanations. - **Scalable Architecture:** Build a robust, scalable, and secure architecture for your applications. **Don’t Miss Out!** - **Make sure to like, subscribe, and hit the notification bell** to stay updated with our latest tech tutorials. - **Thank you for the support!** Your engagement helps us create more valuable content for the community. Join us in part 3 of our AWS DevOps project series and take your cloud security and scalability skills to the next level! 🚀 #AwsTargetGroups #SslCertificate #SecureAlbAws #AwsEc2 #AwsScaling CHAPTERS: 00:00 - Introduction 01:46 - Recap of Progress 02:46 - Creating an Application Load Balancer (ALB) 03:42 - Creating a Security Group for the ALB 06:11 - Creating a Target Group 08:31 - Registering Targets in the Target Group 10:42 - Creating a Listener in the ALB 12:35 - Waiting for the ALB to be Active 18:15 - ALB Overview 21:00 - Outro

🚀 #90DaysOfDevOps - Day 41: Setting up an Application Load Balancer with AWS EC2☁ 💥🚀 Hey LinkedIn community! 👋 🌟 Today marks the kickoff of my 90-day DevOps journey! 🌟 🔨 Task of the Day: Today's focus is on Elastic Load Balancing in AWS. In Task 1, I launched 2 EC2 instances, configured with Apache Web Server using User Data. Additionally, I personalized the index.html files. Task 2 involved creating an Application Load Balancer (ALB) and adding EC2 instances as target groups.🚀💻 🧠 Key Learnings:   Key learning points from the provided information include: 1. Understanding the concept of Load Balancing and its importance in distributing incoming traffic. 2. Deploying EC2 instances with Ubuntu AMI and configuring Apache Web Server using User Data. 3. Personalizing web content by modifying index.html files on EC2 instances. 4. Creating an Application Load Balancer (ALB) in AWS Management Console. 5. Adding EC2 instances as target groups to the ALB for load distribution. 6. Verifying ALB functionality by checking target instance health status and testing load balancing capabilities. 🚀 Exciting Moments: 1. Launching EC2 instances and configuring Apache web servers with personalized content. 2. Creating an Application Load Balancer (ALB) to distribute traffic among instances. 3. Verifying ALB functionality by checking target instance health and testing load balancing capabilities.....💥 📝 Blog Update: Check out the detailed breakdown of Day 41 on my blog: [https://lnkd.in/gD2R8Uft]. I'm documenting every step of the way, so we can learn and grow together! 📚 🤝 Join the Conversation: Have tips, tricks, or insights to share? Drop them in the comments! Let's build a supportive Each other. 🚀 Stay tuned for tomorrow's update! 🎉 --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------  Happy blogging! #AWSBasics #LoadBalancing #ElasticLoadBalancing #EC2Instances #ApacheWebServer #ALB #ApplicationLoadBalancer #WebHosting #AutoScaling #WebDevelopment TrainWithShubham DevOps Parthu sri parthu

Here is list of 25 questions covering all major concepts of AWS- AMI service. Part#2 Q11-Q20 ❓ How does AMI region copying work, and why would you use it? ❓What happens to an EC2 instance if the AMI it was launched from is deleted? ❓Can you modify an existing AMI? ❓How do you handle patching in environments where AMIs are used? ❓What are some best practices when using AMIs in production environments? ❓Explain how you would use an AMI pipeline for a CI/CD process? ❓How would you manage AMI versioning for rollback purposes? ❓What security practices should you follow when creating and sharing AMIs? ❓What is the significance of AMI metadata, and how can it impact instance behavior? ❓How do you ensure AMIs are optimized for fast instance boot times? #aws #devops #cloudcomputing Amazon Web Services (AWS)

🚀 #90DaysOfDevOps - Day 41: Setting up an Application Load Balancer with AWS EC2☁ 💥🚀 Hey LinkedIn community! 👋 🌟 Today marks the kickoff of my 90-day DevOps journey! 🌟 🔨 Task of the Day: Today's focus is on Elastic Load Balancing in AWS. In Task 1, I launched 2 EC2 instances, configured with Apache Web Server using User Data. Additionally, I personalized the index.html files. Task 2 involved creating an Application Load Balancer (ALB) and adding EC2 instances as target groups.🚀💻 🧠 Key Learnings: Key learning points from the provided information include: 1. Understanding the concept of Load Balancing and its importance in distributing incoming traffic. 2. Deploying EC2 instances with Ubuntu AMI and configuring Apache Web Server using User Data. 3. Personalizing web content by modifying index.html files on EC2 instances. 4. Creating an Application Load Balancer (ALB) in AWS Management Console. 5. Adding EC2 instances as target groups to the ALB for load distribution. 6. Verifying ALB functionality by checking target instance health status and testing load balancing capabilities. 🚀 Exciting Moments: 1. Launching EC2 instances and configuring Apache web servers with personalized content. 2. Creating an Application Load Balancer (ALB) to distribute traffic among instances. 3. Verifying ALB functionality by checking target instance health and testing load balancing capabilities.....💥 📝 Blog Update: Check out the detailed breakdown of Day 41 on my blog: [https://lnkd.in/gPnYDYFJ]. I'm documenting every step of the way, so we can learn and grow together! 📚 🤝 Join the Conversation: Have tips, tricks, or insights to share? Drop them in the comments! Let's build a supportive Each other. 🚀 Stay tuned for tomorrow's update! 🎉 --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------  Happy blogging! #AWSBasics #LoadBalancing #ElasticLoadBalancing #EC2Instances #ApacheWebServer #ALB #ApplicationLoadBalancer #WebHosting #AutoScaling #WebDevelopment TrainWithShubham DevOps Parthu

Today, I learned the new concept of aws load balancing and its role in distributing traffic across multiple instances. I went through the process of: Creating a Target Group: This group serves as a collection of healthy EC2 instances ready to handle incoming traffic. Launching EC2 Instances: I launched two instances and ensured they were part of the target group. Configuring HTTP Server: I set up a simple HTTP server (e.g.Apache ,httpd) on each instance to serve a test message. Setting Up Load Balancer: Finally, I configured an EC2 Load Balancer to distribute incoming traffic across the instances in the target group. what is Load Balancer? AWS Elastic Load Balancing is a service that automatically distributes incoming application traffic across multiple targets,  such as EC2 instances, containers, or Lambda functions. Why to use load balancer? 1) Spread load across multiple downstream instance 2) Expose a single point of access (DNS) to your application 3) Do regular health checks to your instances 4) High availability across zones Ashutosh S. Bhakare Unnati Development and Training Centre Pvt Ltd #awscloud #aws #devops #loadbalancer #unnatidevelopment #awssecurity #learning #ec2

𝐀𝐖𝐒 𝐋𝐚𝐦𝐛𝐝𝐚 𝐯𝐬. 𝐀𝐦𝐚𝐳𝐨𝐧 𝐄𝐊𝐒: 𝐂𝐨𝐬𝐭 𝐂𝐨𝐦𝐩𝐚𝐫𝐢𝐬𝐨𝐧 ℹ The cost of maintaining AWS Lambda and Amazon EKS (Elastic Kubernetes Service) depends on several factors, including traffic volume, the number of functions/containers, and the architectural needs of the application. 𝗔𝗪𝗦 𝗟𝗮𝗺𝗯𝗱𝗮: • 𝐏𝐫𝐢𝐜𝐢𝐧𝐠: Charges are based on the number of requests and the duration of function executions. The first 1 million requests and 400,000 GB-seconds per month are free. • 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰 𝗦𝗰𝗮𝗹𝗶𝗻𝗴: Lambda scales automatically with increasing requests, but the cost increases with each additional function invocation. • 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Since Lambda is a fully managed service, the management overhead is minimal. There’s no need to manage servers or infrastructure. 𝗔𝗺𝗮𝘇𝗼𝗻 𝗘𝗞𝗦: • 𝐏𝐫𝐢𝐜𝐢𝐧𝐠: Charges include an hourly rate for cluster management and costs for the EC2 instances (or Fargate) used. • 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰 𝗦𝗰𝗮𝗹𝗶𝗻𝗴: While EKS can auto-scale, it requires configuration and management. Scaling depends on auto-scaler settings and the type of instances used. • 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: EKS requires more management effort as you need to administer clusters, configure networking, manage updates, and handle configurations. 𝗖𝗼𝘀𝘁 𝗖𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻: •  𝗟𝗼𝘄 𝗧𝗿𝗮𝗳𝗳𝗶𝗰:  For applications with low or sporadic traffic, AWS Lambda can be cheaper since you only pay for actual usage. • 𝗛𝗶𝗴𝗵 𝗧𝗿𝗮𝗳𝗳𝗶𝗰: For applications with high or constant traffic, EKS might be more cost-effective. Despite initial administrative costs, the steady cost of EC2 instances can be lower compared to the cost of millions of Lambda requests. 𝗢𝘁𝗵𝗲𝗿 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: • 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Lambda is ideal for event-driven architectures and microservices. EKS is better suited for containerized applications requiring complex orchestration. • 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆: Lambda is simpler to manage and requires less DevOps effort compared to EKS. 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻: Choosing between AWS Lambda and EKS depends on the specifics of your application and the expected traffic volume. If you prioritize ease of management and low initial costs, Lambda might be preferable. If you anticipate steady high traffic and need more control over your infrastructure, EKS could be a more suitable choice. #aws #ec2 #eks #awslambda #k8s #awscost

Just wrapped up another engaging session on AWS, diving deep into Amazon VPC, EC2, and ELB! I got my hands dirty by setting up custom VPCs and exploring AWS Auto Scaling, Elastic Block Store (EBS), and Elastic File Systems (EFS). It's like orchestrating an ever-adapting tech symphony that scales harmoniously with user demands🎵 Scaling applications seamlessly with AWS Auto Scaling feels a lot like ensuring there's always enough room at the table during a family reunion—no one's left standing 😅😅 Have you implemented Auto Scaling in your projects? How do you ensure your applications handle sudden traffic spikes? Let's share tips and experiences below! 🔍💬 #AWS #cloudcomputing #devops #autoscaling #networking