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 DevOps Automation Tools for 2023

Automating all the testing processes and configuring them to achieve speed and agility is vital. This process is known as DevOps automation.

The difficulty faced in a large DevOps Team that maintains a large, massive IT infrastructure can be classified briefly into six different categories. DevOps Training

  1. Infrastructure Automation
  2. Configuration Management
  3. Deployment Automation
  4. Performance Management
  5. Log Management
  6. Monitoring

Now in this DevOps tools tutorial, let’s see a few tools in each of these categories and how they solve the pain points.

Infrastructure Automation

Amazon Web Services (AWS): Being a cloud service, you do not need to be physically present in the data center. Also, they are easy to scale on demand. There are no up-front hardware costs, and it can be configured to automatically provision more servers based on traffic.

Configuration Management

Chef: It is a valuable DevOps tool for achieving speed, scale, and consistency. It can be used to ease out complex tasks and perform configuration management. The DevOps team can avoid making changes across ten thousand servers with this tool. Instead, they need to make changes in one place, automatically reflected in other servers.

Deployment Automation

Jenkins: This tool facilitates continuous integration and testing. It helps to integrate project changes more efficiently by quickly finding issues as soon as a build is deployed.

Log Management

Splunk: This tool solves the issues like aggregating, storing, and analyzing all logs in one place.

App Dynamic: It is a DevOps tool that offers real-time performance monitoring. The data collected by this tool helps developers to debug when issues occur.

Nagios: It is also important to notify people when infrastructure and related services go down. Nagios is one such tool for this purpose which helps DevOps teams to find and correct problems.

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