Hey everyone, I'm excited to share my latest blog post on managing AWS Lambda functions! 🚀 In this post, I dive into the importance of monitoring, logging, and debugging to keep your Lambda functions running smoothly and efficiently. Whether you're dealing with common issues or looking to optimize performance, this guide has got you covered. 🔍 Key Highlights: - Setting up AWS CloudWatch for real-time monitoring. - Effective logging practices with CloudWatch Logs. - Debugging tips using AWS X-Ray and local debugging with AWS SAM CLI. - Best practices for error handling, resource optimization, and security. Read the blog here: https://lnkd.in/grz4UJDN I’d love to hear your thoughts and experiences with managing AWS Lambda functions. Leave a comment below and let’s discuss! Also, don't forget to visit my blog for more content like this. Happy serverless computing! 💻 #AWS #Lambda #CloudComputing #Serverless #TechBlog
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Have you ever wondered how to run an asynchronous task in a synchronous AWS Lambda function, after the function returns a response to the caller? Wonder no more. Find the information in my new blog post on the AWS Compute Blog: https://lnkd.in/dAMFJc_U. In this post, I dive into different techniques that allow you to run background or asynchronous tasks in your Lambda functions, improving performance and enhancing the overall user experience. Check it out and let me know your thoughts! #AWS #Lambda
Running code after returning a response from an AWS Lambda function | Amazon Web Services
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You’re managing data on AWS Cloud and you come across the dreaded "504 gateway timeout” error. Of course, you search online for potential discussions and solutions, but you leave more confused than when you started… Sound familiar? Luckily Lingling Peng has taken a deep dive into these timeout errors and developed a scientific approach to troubleshooting them for schematic APIs. She isolated the root causes and developed intelligent solutions, documenting them all along the way. Discover how 👇 https://lnkd.in/gxfPYJCb #aws #debugging #troubleshooting #gatewaytimeout #softwareengineer #data #openscience
Debugging on AWS Cloud: How to solve the dreaded "504 gateway timeout"
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You can achieve cloud native governance with Open Policy Agent (OPA). In the era of Everything-as-Code (EaC), Policy as Code (PaC) helps you implement Compliance-as-Code (CaC) offloading the policy decision-making process from the application. Amazon EKS Blueprints for Terraform, on the other hand, simplifies the process of setting up and configuring Kubernetes clusters on Amazon EKS, providing a standardized and repeatable way to deploy and manage the operational software required for running workloads By integrating OPA with EKS Blueprints, organizations can ensure that their Kubernetes clusters are not only deployed consistently but also adhere to their defined security and compliance policies from the outset. Pleased to publish this post with Hans Nesbitt where we explore benefits of using OPA to scan your "Amazon EKS Blueprints for Terraform" as code. We are excited to see how customers leverage this integration and implement Policy as Code to maintain a high level of security and compliance across their cloud-native environments. We invite you to share your experiences and best practices as we look to refine and improve these tools and methodologies. https://lnkd.in/g4kgB3wD P.S. Speaking of OPA, Rain v1.8.5 has added support for Claude3 Haiku and Sonnet, and can now generate OPA Rego to validate CloudFormation templates. https://lnkd.in/gh8bRq6A #aws #eksBlueprint #opa #PaC #securityAndCompliance #shiftLeft #terraform #genAI
Using OPA to validate Amazon EKS Blueprint Templates | Amazon Web Services
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My latest article is out! In it, I discuss the importance of monitoring and observability for modern applications using AWS X-Ray. This service provides end-to-end visibility into requests as they travel through various components of your application, helping you identify performance bottlenecks, troubleshoot errors, and optimize overall system health. Check it out to learn more about how to observe your modern application using AWS X-Ray. #awsxray #monitoring #observability #microservices #distributedsystems #awscommunity #awscommunitybuilders #modernarchitecture Link to the article: https://lnkd.in/dHNSQ6yz
Trace & Observe Modern Apps using AWS X-Ray
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Are you looking to reduce your Amazon EC2 usage and cut down on costs? In my latest article, I walk you through the step-by-step process of automatically starting and stopping your EC2 instances of your dev environment using AWS EventBridge and AWS Lambda. This automation helps you reduce the cost of the dev environment efficiently and ensures you only pay for what you use. Here's a quick rundown of what you can expect 𝐂𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐋𝐚𝐦𝐛𝐝𝐚 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧: We'll set up the function to handle stopping and starting instances. 𝐂𝐨𝐝𝐢𝐧𝐠 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧: I'll share the exact Python code you'll need. 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐂𝐨𝐝𝐞: Ensuring everything works as expected. 𝐔𝐩𝐝𝐚𝐭𝐢𝐧𝐠 𝐈𝐀𝐌 𝐏𝐞𝐫𝐦𝐢𝐬𝐬𝐢𝐨𝐧𝐬: Configuring Lambda with the necessary permissions. 𝐂𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐚 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞: Setting up AWS EventBridge rules to automate the process. Read the full article https://lnkd.in/d4DNA2Ry and start optimizing your AWS EC2 usage today! #AWS #CloudComputing #AWSLambda #AmazonEC2 #Automation #CloudOptimization #TechTips #Python #DevOps
Setting Up Schedules with AWS EventBridge Scheduler
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Automate chaos experiments with AWS Fault Injection Service and AWS Lambda using Lambda extensions, no function code changes required via James Beswick on Amazon Web Services (AWS) https://lnkd.in/dGZ7s4Us #aws #awscloud
Automating chaos experiments with AWS Fault Injection Service and AWS Lambda | Amazon Web Services
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A great practical article showing how Amazon Q can help in your day to day tasks with AWS Cloudformation, saving you time for you and your teams. https://lnkd.in/gEyFhEFF
Five ways Amazon Q simplifies AWS CloudFormation development | Amazon Web Services
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Exploring Azure Functions: The AWS Lambda Equivalent
Exploring Azure Functions: The AWS Lambda Equivalent | Cartisien Interactive
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If you’ve chosen to run you application in Kubernetes on AWS using the Elastic Kubernetes Service (EKS) you will want to setup monitoring tools to keep an eye on everything. There are lots of open source tools available and most can be setup rather easily in your cluster. You will have to maintain these and mange the compute and storage for them. If you want to use these tools (like Grafana and Prometheus) you can also take advantage of the managed versions of them and leave most of the work to AWS. You will have a cost but it will be up to you to decide if it’s worth it. This article from Siva Guruvareddiar and Michael Hausenblas shows how to set these up with your EKS cluster. https://lnkd.in/eWNSnNxF
Enhancing observability with a managed monitoring solution for Amazon EKS | Amazon Web Services
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🚀 Excited to share my latest project! 🚀 I've just completed building a Serverless CRUD API using AWS Lambda, API Gateway, IAM, and DynamoDB. This project was a fantastic experience, and I learned so much about the power and flexibility of serverless architectures. 🌐 Here's a brief overview of what I accomplished: 1.Set Up DynamoDB: Created a table to store product data. 2.Lambda Functions: Developed functions to handle Create, Read, Update, and Delete (CRUD) operations. 3.API Gateway: Configured API Gateway to handle HTTP requests and route them to the appropriate Lambda functions. 4.IAM Roles: Managed access and permissions to ensure secure interactions with DynamoDB. Why Serverless? ---Serverless computing offers unparalleled benefits: ---Scalability: Automatically adjusts to meet demand. ---Cost-Efficiency: Pay only for what you use. ---Reduced Operational Overhead: Focus on writing code, not managing servers. ---High Availability: Built-in redundancy and fault tolerance. Want to know more? Check out my detailed blog where I walk through the entire process step-by-step: https://lnkd.in/gWCisJF2 A special thanks to my mentors Raghul Gopal , Sarumathy Prabakaran and Dr. KARTHI M for their guidance and support throughout this project. I couldn't have done it without you! I'm excited to continue exploring AWS and serverless architectures. If you have any tips or similar experiences, I'd love to hear about them! #AWS #Serverless #CRUD #APIGateway #Lambda #DynamoDB #CloudComputing #TechBlog #LearningJourney #pep #sjit #awscloudclubs
Building a Serverless CRUD API with AWS: A Comprehensive Guide
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