Solving CloudWatch Metric Issues from Stack Overflow 💡 I came across an interesting question on Stack Overflow recently. Someone was trying to set up CloudWatch alarms for their ECS tasks, specifically to monitor DesiredTaskCount and RunningTaskCount. However, they kept running into “Insufficient Data” issues. Here’s the catch: the AWS/ECS namespace only provides two default metrics: • MemoryUtilization • CPUUtilization If you’re looking for task-level metrics like DesiredTaskCount, RunningTaskCount, or PendingTaskCount, these are actually found in the ECS/ContainerInsights namespace. This namespace is part of Container Insights, which gives much deeper insights into your ECS services. My Advice: Always manually check the CloudWatch console for the correct namespace and metric names before writing your code. It’s a simple step, but it can save you a lot of time and prevent these kinds of headaches. Have you encountered similar issues with CloudWatch metrics? Let’s discuss your experiences or tips in the comments! 👇 #AWS #CloudWatch #ECS #DevOps #CloudComputing #Monitoring #AWSCommunityBuilders #StackOverFlow
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⚠️ Caution! Deleting a CloudFormation Stack Could Delete All Associated Resources ⚠️ In AWS, CloudFormation makes managing infrastructure as code a breeze, but there's a critical point to keep in mind: deleting a CloudFormation stack can automatically delete all resources associated with it! Here’s why it matters: When you delete a stack, resources like EC2 instances, S3 buckets, databases, and VPCs that were created with the stack may be removed. This can be useful, but accidental deletions are a real risk if dependencies or critical components are overlooked. 🛡️ Best Practices for Safe Deletion: - Review Stack Policies: Set stack policies to protect essential resources. - Use Retain Policies: For critical resources, mark them with "Retain" to prevent automatic deletion. - Double-Check Dependencies: Some resources might be shared across applications—don’t risk losing critical data or functionality! Always confirm before you delete! This small step can save a big headache. #AWS #CloudFormation #InfrastructureAsCode #CloudSecurity #CloudBestPractices #DevOps #CloudComputing #Automation
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Thank you to everyone who joined our AWS Compute Performance Engineering session! 🚀 Here are the top 3 insights we discussed: - #Benchmarking and #continuous monitoring are crucial for #optimization: These practices help ensure your applications run efficiently and meet performance requirements. - AWS offers great services like #Graviton, #Karpenter, and #Spot Instances: These tools help you scale and rightsize your infrastructure, providing flexibility and cost savings. - #Cost and #Performance are key for cloud #efficiency: Optimizing both ensures you get the most out of your AWS environment, especially when using containers for modern applications. Let's keep pushing the boundaries of what's possible with #AWS! #CloudComputing #PerformanceEngineering #Containers #DevOps #CloudOptimization #TechInnovation #AWSGraviton #EfficientCompute Watch the full session here:
AWS Summit Tel Aviv 2024 - Compute Performance Engineering: Maximizing your application (ARC302)
https://www.youtube.com/
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ECS Task vs ECS Service: In Amazon ECS (Elastic Container Service), a Task represents the specific execution of a containerized application defined by a task definition. The Task Definition includes settings like Docker images, CPU/memory requirements, networking, and other configurations. When you run a task, it launches a one-time instance of this definition. A Service, on the other hand, ensures that a specified number of task instances are always running. It manages tasks over time, restarting failed tasks or launching additional tasks if the desired count isn't met. Services are typically used for long-running applications (e.g., web servers), while tasks can be used for batch or single-run jobs. In summary, a task defines and runs container instances, and a service ensures task stability and scaling. Join me in exploring the latest trends in AWS DevSecOps! Subscribe to my newsletter for more insightful updates. 🛠🔒 🔗 Join the AWS DevSecOps Community: https://lnkd.in/dDsf4rCv 🔗 Follow on LinkedIn: https://lnkd.in/gy8xy2Gb 🔗 Book 1:1 Connect: https://lnkd.in/dCgmt2hw Remember to like, share, and comment to help spread valuable knowledge. Let's keep learning and growing together! 🌟 #AWS #DevSecOps #AI #ML #ChatbotDevelopment #Bedrock #ECS #ECR
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🚨Final Reminder!🚨 Have you registered for our upcoming AWS Webinar: Operate Resilient Workloads on AWS? Join myself, Michael Schmid, and our host Salim Tütüncü as we dive into: ✅ Proven best practices for building resilient workloads ✅ Tools to monitor, analyze, and improve workload behavior ✅ Harnessing the power of Chaos Engineering and Fault Injection to prepare for the unexpected Don’t miss this chance to strengthen your AWS skills and ensure your systems are built to withstand anything! 📅 Date: 18th of September ⏰ Duration: 90 minutes - 11am to 12:30pm CEST Level up your AWS Resilience strategies with practical insights! 🔥 👉 Register here: https://lnkd.in/eTPWkrCp #AWS #CloudComputing #Resilience #ChaosEngineering #DevOps #CloudArchitecture #TechEvent #AWSWebinar #CloudResilience #WorkloadOptimization #FaultInjection
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Benchmarking and continuous monitoring are crucial for cloud #optimization.
Thank you to everyone who joined our AWS Compute Performance Engineering session! 🚀 Here are the top 3 insights we discussed: - #Benchmarking and #continuous monitoring are crucial for #optimization: These practices help ensure your applications run efficiently and meet performance requirements. - AWS offers great services like #Graviton, #Karpenter, and #Spot Instances: These tools help you scale and rightsize your infrastructure, providing flexibility and cost savings. - #Cost and #Performance are key for cloud #efficiency: Optimizing both ensures you get the most out of your AWS environment, especially when using containers for modern applications. Let's keep pushing the boundaries of what's possible with #AWS! #CloudComputing #PerformanceEngineering #Containers #DevOps #CloudOptimization #TechInnovation #AWSGraviton #EfficientCompute Watch the full session here:
AWS Summit Tel Aviv 2024 - Compute Performance Engineering: Maximizing your application (ARC302)
https://www.youtube.com/
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🚀 Streamline Your AWS Lambda Development with CloudWatch 🚀 AWS just made it easier to monitor and optimize Lambda functions! With CloudWatch Logs Live Tail and Metrics Insights, developers can now gain real-time insights and make data-driven decisions faster than ever. 📈💻 These features allow you to watch logs in real-time and analyze metrics right within CloudWatch, enhancing observability and making troubleshooting a breeze. Say goodbye to time-consuming log searches and hello to faster debugging! Read more about these new capabilities: 🔗 AWS Blog https://lnkd.in/e9DqT_MZ #AWS #Lambda #CloudWatch #DevOps #Observability #CloudComputing #Serverless
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🌐 Day 9 of #50dayAWSDeveloperAssociate: Diving into AWS CloudFront 🚀 Today, I explored the power of AWS CloudFront, Amazon's Content Delivery Network (CDN), and how it can enhance the performance of web applications by delivering content to users with low latency and high transfer speeds. Key takeaways: ✅ Global Reach: With CloudFront, content is cached at edge locations worldwide, ensuring fast and reliable delivery. ✅ Seamless Integration: It integrates effortlessly with other AWS services like S3, EC2, and Lambda, streamlining content delivery and backend processes. ✅ Security & Scalability: CloudFront offers advanced security features like SSL/TLS encryption and DDoS protection through AWS Shield. I’m excited to continue this journey and gain deeper insights into how CloudFront can be used to optimize my AWS solutions. Tomorrow’s focus: Advanced CloudFront configurations and real-time use cases. #AWS #CloudFront #AWSDeveloper #50dayAWS #CloudComputing #AWSJourney #TechLearning #AWS #CloudFront #AWSDeveloper #AWSLearning #CloudComputing #TechLearning #DeveloperJourney #AWSAssociate #AWSCloud #ContentDeliveryNetwork #EdgeComputing #CDN #TechCommunity #CloudSolutions #WebOptimization #ScalableInfrastructure #AWSArchitecture #CloudSecurity #AWSPractitioner #LearnAWS #TechEducation #CloudInnovation #DevOps #CloudNative #ServerlessComputing #AWSPro #CloudTech #AWSforDevelopers
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💡 New on CloudedBytes.com: Understanding JSON and Its Usage in AWS Curious about how JSON plays a crucial role in AWS services? Our latest blog breaks down everything you need to know about JSON, from its structure to how it's used in writing policies, configuring resources, and automating tasks in AWS. 👉 Check out the full article here: https://lnkd.in/dB_epvmQ ✍️Written by: Ayesha Noor Arshad #AWS #JSON #CloudComputing #CloudSecurity #CloudedBytes #TechCareers #Automation
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🚀 Excited to share our latest achievement: deploying an Amazon EKS cluster using Terraform! 🌟 With Terraform's infrastructure as code approach, we've automated the deployment of our Amazon EKS cluster, streamlining the process and ensuring consistency across environments. ✨ Key features of our setup: Automated Provisioning: Terraform scripts handle the provisioning of VPC, subnets, security groups, and other necessary resources. Scalability: Easily scale our Kubernetes cluster up or down to meet changing workload demands. Security: Secure configurations are baked in, including IAM roles, policies, and network settings, ensuring a robust and compliant environment. Version Control: Infrastructure changes are versioned and auditable, providing transparency and control over our infrastructure. 👉 Check out the website and dive deeper into our infrastructure setup on https://lnkd.in/g3rwm6t5 #Terraform #AmazonEKS #DevOps #InfrastructureAsCode #Automation
Provionsing AWS EKS Cluster with Terraform
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🚨 AWS Service Deprecations: What You Need to Know 🚨 AWS is making notable moves by phasing out several services like CodeCommit, Cloud9, and more. This marks a shift from their usual approach, as AWS has been cautious about deprecating services in the past. While the exact reasons are unclear, it's possible that AWS’s growing investment in AI is influencing these decisions. Key upcoming changes to prepare for: - Snowmobile Service Will Be Retired 🛑 - WorkDocs Stopping New User Registrations ❌ - Discontinuation of OpsWorks for Chef Automate and OpsWorks Stacks 🔄 - CodeCommit Unavailable to New Accounts 🔒 - CloudSearch, SimpleDB, S3 Select, Forecast, and Data Pipeline No Longer Available for New Customers 🚫 CodeCommit’s deprecation may not affect everyone, but it did offer distinct features like IAM policy-based repository access management that some users might miss. If your applications rely on any of these services, it’s crucial to start planning for necessary updates, reconfigurations, or migrations to ensure smooth continuity. Post Details curated using info shared by Erik Osterman (Cloud Posse) For more details, please take a look at Erik's repo for more deprecated changes by Amazon Web Services (AWS). GitHub Link: https://lnkd.in/gWRshp-D #AWSUpdates #CloudStrategy #CloudMigration #TechAlert #DevOps #AIinCloud #AWSAnnouncements #CloudInnovation
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