Detailed Overview of DevOps Automation Tools.
Automation is the crucial need for DevOps practices, and automating everything is the fundamental principle of DevOps. Automation kick-starts from the code generation on the developer's machine, until the code, is pushed to the code, and at that time monitors the application and system within the production. Best DevOps certification offers in-depth knowledge of the course in the easiest way.
In large DevOps team that maintains extensive massive IT infrastructure can be classified into six categories, such as
- Infrastructure Automation
- Configuration Management
- Deployment Automation
- Performance Management
- Log management
- Monitoring
Below are some tools in each of these categories let's see in short, such as
Infrastructure Automation
Amazon Web Services (AWS): Being a cloud service, you don't must be physically present in the data center, they're easy to scale on-demand, and there are no up-front hardware costs. It is often configured to provide more servers based on traffic automatically.
Configuration Management
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.
Deployment Automation
Jenkins: It facilitates continuous integration and testing. It helps to integrate project changes more efficiently by quickly finding issues as soon as the build is deployed.
Performance Management
App Dynamic: It offers real-time performance monitoring. The data collected by this tool help developers debug when issues occur.
Log Management
Splunk: This DevOps tool solves issues like storing, aggregating, and analyzing all logs in one place.
Monitoring
Nagios: It notified people when infrastructure and related services go down. Nagios is a tool for this purpose, which helps the DevOps team to find and correct problems.
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