If you are interested to learn about the DevOps tools
Automation is the crucial need for DevOps practices, and automate everything is 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 after that to monitor the application and system in the production.
Automating infrastructure set up and configurations, and software deployment is the key highlight of DevOps practice. DevOps practice id is dependent on automation to make deliveries over a few hours and make frequent deliveries across platforms. Automation in DevOps boosts speed, consistency, higher accuracy, reliability, and increases the number 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 can be classified into six categories, such as:Play Videox
- Infrastructure Automation
- Configuration Management
- Deployment Automation
- Performance Management
- Log management
Below are few tools in each of these categories let see in brief, such as:
Amazon Web Services (AWS): Being a cloud service, you don’t need to be physically present in the data center, they are 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.
Chef: Chef is 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 help of this tool, the DevOps team can avoid making changes across ten thousand servers. Rather, they need to make changes in one place, which is automatically reflected in other servers.
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.
Splunk: This DevOps tool solves issues such as storing, aggregating, and analyzing all logs in one place.
Nagios: It notified people when infrastructure and related service go down. Nagios is a tool for this purpose, which helps the DevOps team to find and correct problems.
Benefits of Automation in DevOps
We have seen earlier releases, in 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 absolutely a must in order to make the releases as fast as possible in a few hours. So, I think it is impossible to make such quick and frequent releases unless we put in automation in place throughout the pipeline.
So, quite obviously then, if we want to achieve the objectives of DevOps, high quality and value delivered to customers via frequent and fast deliveries, Automate everything is a must.
Clearly, we know by now that automation removes manual errors, dependency on an individual, performs faster, and achieves accuracy thereby achieving consistency and reliability. Hence, automating everything enables the devops objective of high-quality delivery, enables frequent releases and faster releases.
In a nutshell, Automation,
- Removes manual errors
- Team members are empowered
- Dependency removed
- Latency removed
- Increases no of deliveries
- Reduces the lead time
- Increases frequency of releases
- Provides faster feedback
- Enables speed, reliability, and consistency