A Comprehensive List of AWS DevOps Tools

A Comprehensive List of AWS DevOps Tools

DevOps is an idea that has been circulating in the software development community for a few years now. It’s about bringing together developers and operations teams to work side-by-side, A Comprehensive List of AWS DevOps Tools continuously delivering new features and bug fixes by automating all the processes involved in production deployment. One of the main benefits is increased collaboration between these two groups, which ultimately leads to better code quality and speedier delivery cycles.

The aws devops tools we’ll discuss in this blog post will help you implement DevOps on AWS with ease!

 AWS CodePipeline

AWS CodePipeline is a fully managed service that helps you automate the continuous delivery of your software, so it’s always ready for production.

It integrates with AWS CodeCommit to version control code, Amazon S3 to store artifacts, and Amazon EC2 Container Service (Amazon ECS) to run tasks in containers.

You can use AWS CodePipeline as part of your existing CI/CD process or on its own. With CodePipeline, you specify the details of the steps required for every stage in your application deployment pipeline

– from validating code quality and testing functionality at each stage to deploying updated versions of your app on-premises or into the cloud.

AWS makes sure any updates are deployed smoothly without

AWS CodeBuild

Amazon Web Services, or AWS for short, offers a service called CodeBuild. This service is an execution environment that allows developers to build their applications without the need of any servers. AWS handles all the heavy lifting and provides security too!

 AWS CodeDeploy

AWS CodeDeploy is a deployment service for deploying applications using scripts or applications to EC2 instances, EBS volumes, or on-premise servers.

It can also be used with AWS Elastic Beanstalk to automatically deploy the application without having to maintain your own repository of AMIs.

You can configure deployments by defining one or more target groups that include deployment configurations and then associate those target groups with your Amazon EC2 instances, EBS volumes, and other targets in an environment.

The configuration includes specifying which version of the code should be deployed and how often it should be updated automatically if newer versions are available from the source location you specify – such as an Amazon S3 bucket where you store your software files. AWS CodeDeploy allows

Amazon Elastic Container Service

Amazon Elastic Container Service (Amazon ECS) is a container management service that makes it easy to run, stop, and manage Docker containers on a cluster of Amazon EC2 instances.

It provides high availability, load balancing, and scaling for your applications running inside Docker containers. With Amazon ECS you don’t need an external cluster manager or orchestration system to deploy or scale your apps you can use AWS’s simple web service interface instead.

This blog post will cover the basics of using Amazon ECS with Docker, as well as some best practices for getting started quickly with this new service from AWS.

We’ll also touch on how Auto Scaling works with Amazon ECS so you can make sure you’re looking at the right metrics when evaluating

Amazon CloudWatch

CloudWatch is a service offered by Amazon Web Services that provides monitoring and metrics for AWS infrastructures. CloudWatch offers customizable dashboards, alerts, and reports so customers can monitor their cloud performance.

Cloudwatch has been the backbone of many companies’ infrastructure. It is used to give you crucial information on your servers such as CPU usage, disk space utilization, and network in/out traffic.

With this data we are able to make decisions about what changes need to be made with our systems or applications in order to keep our business running at peak efficiency without any downtime.

We will dive into how we use it at The Company Store later on in the blog post!


Amazon Web Services (AWS) has announced the release of AWS X-Ray, a new service that allows for in-depth tracing and debugging of distributed systems.

The service is designed to help developers identify issues with their applications by providing visibility into how requests are handled in complex architectures.

Developers can use X-Ray to troubleshoot latency problems, pinpoint bottlenecks, and track down errors—all without needing deep knowledge of an application’s internals or significant instrumentation code changes.

In this blog post we will explore what the tool offers and the benefits it provides for developers using AWS services such as Elastic Beanstalk, Simple Storage Service (S3), DynamoDB, Lambda Functions etc., to build fast and reliable.


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