DevOps is the compilation of best practices and working approaches for software development procedures with the utmost goal of compressing and optimizing the development lifecycle and support practices like constant integration, continuous delivery, and continuous deployment(CD).
In the current business environment, DevOps teams and website dependability engineers must be capable of providing features and updates at a high-frequency rate, providing a short turn-around period at the time of managing the stability of the production environment.
Central to the DevOps culture and principles is the vision that cross-functional product teams, qualified to both develop and perform their software functions, should be the ones to provide them. This vision is captivated by the common DevOps mantra,” You Build It, You Run It.”
Throughout history, software developers would develop a new feature and pass it on to an IT operation team to determine how to test, operate, manage, support, and maintain the quality. In DevOps, a cross-functional product team expects to control features from visualization to production, along with input from developers and IT operators. This reduces knowledge silos between developers and IT operations teams and drives lower downtime and rapid releases with fewer bugs.
What is DevOps Automation?
DevOps Automation utilizes powerful software tools and methods to automate repetitive and manual tasks throughout the software development lifecycle. DevOps Automation is the combination of technology that performs functions with less human intervention and techniques that enable feedback loops between operations and development teams, allowing iterative updates to be rapidly deployed to production applications. DevOps practices depend on automation to generate deliveries over a few hours and provide frequent deliveries across platforms.
Automation is a critical requirement for DevOps practices, and automating everything is the primary principle of DevOps. The automation kick starts with the developer’s machine generating code until the code is pushed to the code and then monitoring the application and system in production. Automation infrastructure setup, compositions, and software deployment highlight DevOps practice.
Why is DevOps Automation Important?
Automation in DevOps increases speed, consistency, accuracy, and dependability and expands the volume of deliveries. Automation in DevOps encapsulates everything starting from developing and deploying to monitoring.
Automation is the fundamental principle for DevOps teams that reinforces all other DevOps principles. It “takes the robot out of humans” and promotes more profitable cooperation and communication by enabling team members to automate repetitive and everyday tasks so that they can spend more time working with each other and less time doing tiresome manual work.
It also encourages observability, enhancement, and shift-left practices by ensuring smooth and consistent procedures. Also, it goes hand-in-hand with declarative configuration management.
Advantages of DevOps Automation
Consistency
When processes are highly automated, they are also compatible and predictable. Software automation will always do the same until it reconfigures to do otherwise. The same is not accurate for manual processes inclined to human mistakes.
Scalability
Automation is considered the parent of scalability. Often, processes that are possible to manage by hand be performed manually at scale.
Speed
Automation means that processes such as code integration and application deployment take place faster. This is valid for two primary factors:
There is no requirement to wait on a human to be ready before a process can begin. Manually deploying a new release at 2. A.M. may not be adequate when you depend on a human to execute the strategy, but with the help of automation tools, there would be a smooth process.
Automated processes tend to get implemented swiftly. An engineer manually deploying the latest release will be required to assess the environment, classify configurations, manually verify that they deployed the newest version successfully, and it goes on and on. Conversely, an automation tool can perform these operations very instantaneously.
Tools for DevOps Automation
A large DevOps team that manages an extensive IT infrastructure is divided into six categories:
Infrastructure Automation
Composition Management
Deployment Automation
Execution Management
Register management
Monitoring
Here are some automation tools for each of these categories:
Infrastructure Automation Amazon Web Services(AWS):
Being a cloud service, you don’t require to be physically present in the data center.
They are simple to scale on demand.
There are no up-front hardware expenses.
It can be configured to offer more servers based on traffic automatically.
Composition Management Chef:
Chef is a handy DevOps tool for obtaining speed, scale, and consistency. It is used to simplify complex tasks and manage compositions. With the assistance of this tool, the DevOps team can ignore making changes across ten thousand servers.
Deployment Automation Jenkins:
Jenkins provides constant integration and testing. It assists in integrating project changes more significantly by fastly recognizing issues as soon as the formation gets deployed.
Execution Management App Dynamic:
It provides real-time execution monitoring. The data and information gathered by this tool assist developers in debugging when an error appears.
Register Management Splunk:
This DevOps tool solves concerns like storing, aggregating, and examining all registrations in one place.
Monitoring Nagios:
It notifies people when infrastructure and connected services go down. Nagios is a tool for this objective that guides the DevOps team to recognize and rectify problems.
Get Started with CodeEpsilon
Regarding automating log management and analysis, CodeEpsilon provides a solution tailored specifically to DevOps requirements. We can work at any size and with any application or infrastructure. It also offers repeatable and reusable setups and connects with various other popular DevOps tools.
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