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How To Achieve Near-zero Downtime Deployments On AWS? - Cloud Stack Studio

How To Achieve Near-zero Downtime Deployments On AWS? Are you interested in maintaining application availability during updates on AWS? In this video, we’ll explore how to implement deployment strategies that minimize or eliminate service disruptions. We’ll cover key techniques such as blue-green deployments, canary releases, and rolling updates, explaining how each method helps keep your application running smoothly while deploying new features or fixes. You’ll learn how to use AWS services like Elastic Load Balancing, API Gateway, and Route 53 to route traffic effectively and ensure your users experience minimal impact during updates. We’ll also discuss the importance of automated rollback mechanisms with tools like AWS CodeDeploy, which can detect failures and revert to stable versions automatically. Additionally, the video covers best practices for handling database changes with minimal downtime, including how to apply backward-compatible updates and utilize AWS Database Migration Service or Aurora’s deployment features. Monitoring your deployment with AWS CloudWatch is emphasized, as it provides real-time metrics and alerts to help you respond quickly to issues. We’ll also highlight the significance of testing in staging environments that mirror production to catch problems early. Combining these approaches with automation tools like AWS CloudFormation and CodePipeline creates a reliable, repeatable deployment process that keeps your application available and your users satisfied. Subscribe for more cloud infrastructure tips and best practices!

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About Us: Welcome to Cloud Stack Studio, your go-to channel for all things cloud infrastructure. We focus on key topics like AWS vs. Azure vs. Google Cloud, cloud security best practices, DevOps automation tools, and Kubernetes and containerization. Our mission is to provide informative content that helps you navigate cloud migration strategies, continuous integration and continuous deployment (CI/CD), and the culture of collaboration within DevOps.

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