DevOps Automation

Automation is that the crucial need for DevOps practices, and automate everything is that the fundamental principle of DevOps.
Automation kick starts from the code generation on the developers machine, until the code is pushed to the code and then to observe the application and system within the production.
Automating infrastructure set up and configurations, and software deployment is that the key highlight of DevOps practice.
DevOps practice id depends on automation to form deliveries over a few hours and make frequent deliveries across platforms.
Automation in DevOps boosts speed, consistency, higher accuracy, reliability, and increases the amount of deliveries.
Automation in DevOps encapsulates everything right from the building, deploying, and monitoring.

DevOps Automation Tools

In large DevOps team that maintain extensive massive IT infrastructure are often classified into six categories, such as:

DevOps Automation Tools

Chef
- Chef may be a handy DevOps tool for achieving speed, scale, and consistency. It can be used to ease out of complex tasks and perform configuration management. With the assistance of this tool, the DevOps team can avoid making changes across ten thousand servers. Rather, they have to form changes in one place, which is automatically reflected in other servers.

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

Amazon Web Services (AWS)
- Being a cloud service, you do not need to be physically present within the data center, they're easy to scale on-demand, and there are no up-front hardware costs.
- It can be configured to provide more servers based on traffic automatically.

Nagios
- It notified people when infrastructure and related service go down. Nagios tool helps the DevOps team to find and correct problems.

Jenkins
- It facilitates continuous integration and testing. It helps to integrate project changes more efficiently by quickly finding issues as soon as built is deployed.

App Dynamic
- It offers real-time performance monitoring. The data collected by this tool help developers to debug when issues occur.

Devops Benefits

We have seen earlier releases, within the absence of automation taking years to get into the production and also recently with agile, be it lean, scrum or safe, and with a percentage of automation being improved, release timelines are brought down to few months or weeks.
But automation is completely a requirement so as to form the releases as fast as possible during a few hours. So, feel it's impossible to form such quick and frequent releases unless we put in automation in place throughout the pipeline.
So, quite obviously then, if we would like to achieve the objectives of DevOps, top quality and value delivered to customers via frequent and fast deliveries, Automate everything may be a must.