DevOps Automation: Boosting Efficiency and Productivity

5 min read

100+ DevOps Interview Questions You Must Prepare To Get JobDevOps has arisen as a flavor when automation has assisted in building a fast-paced industry where new deployments occur regularly. We must recognize that DevOps automation is a strategy for ensuring greater coordination between the operations and development teams, not a platform.

From software creation to software launch, DevOps relies significantly on sequential processes. As a result, the demand for DevOps infrastructure automation in the area is increasing. DevOps and automation begin with product preparation, where development and operations collaborate to achieve the desired output.

Automation is an essential need for DevOps procedures, and automating everything constitutes the fundamental idea of DevOps. Automation starts with the code creation on the developer’s machine until the code gets pushed to the code afterward to monitor the software and system in the production environment.

Devops Automation

Continue reading to learn how DevOps automation tools can help boost efficiency and productivity.

What is DevOps Automation?

Numerous jobs and procedures comprise the software development process, and automating them is critical. Multiple devices, technologies, and methods are available to automate these software creation tasks, called DevOps and Automation. It additionally automates infrastructure supplies, deployment, and operational procedures and functions. It is intended to streamline and speed the software development lifecycle by reducing manual labor and human mistakes, enhancing overall efficiency.

Continuously integrating (CI), continual delivery (CD), infrastructure as code (IaC), setting up, automated validation, and monitoring are all part of automation and DevOps. These methods automate laborious and repetitive operations, allowing teams to concentrate on more strategic and profitable tasks.

Benefits of DevOps and Automation

The benefits of automation and DevOps are not limited to increased productivity. A closer investigation reveals the following additional benefits:

  • Consistency

The use of integrity automation makes it much easier to find faults and other issues with actions within software systems.

Any fully automated procedure or activity will consistently deliver predictable and uniform outcomes at the end. For practically all purposes, you have eliminated user errors due to the underlying static program setup and the lack of human involvement.

  • Scalability

Scaling automated procedures is significantly easier than scaling manual operations. The automatic processes are simple to scale up by adding new approaches to meet the increased demand.

Additionally, the small number of available team members strongly hampers any attempt at expanding in a heavily manual workplace.

As a result, in an autonomous environment, scaling is only limited by the availability of the supporting software and technology. This is not an issue in cloud-based setups because assets are automatically scaled in response to the workload. The DevOps automation Scaling In/Out and Automatic Scaling-Up/Down features are great examples of this concept.

  • Speed

One of the most essential parts of DevOps is the quickness with which one can proceed through the various stages of a project’s lifespan because it directly relates to how effectively the project can be completed.

Furthermore, running a process individually will never be faster than automating it with a standard template and running it continuously instead.

  • Flexibility

The ability to automate a process allows us to be versatile in terms of the procedure’s extent and functionality.

Most of the time, the design of the system’s automation is the only thing that restricts the usefulness and breadth of the endeavor, and you can readily change it to meet the needs. It enables better adaptability to modifications within the framework than educating a team member.

Also Read: DevOps Engineer Jobs: Crack the Code Revolutionize Your Career

Top 10 DevOps Automation Tools to Boost Efficiency and Productivity

We compiled automation tools in the DevOps list of the best automation tools for managing and deploying environments:

  1. Docker

Docker is a freely available platform based on Linux. Docker is a DevOps and automation tool suite that provides packaged environments for software, making them more adaptable secure, and eliminating testing conflicts. Additionally, it allows DevOps to quickly and efficiently develop and execute apps. Docker applications are OS and platform-neutral. Then, you can download and complete the containers remotely using the Docker Engine.

  1. Kubernetes

K8s is a container management and automation system. Additionally,  it is prevalent throughout DevOps teams. It handles containers at a wide scale and functions well with Docker. Moreover, Kubernetes streamlines or automates the administration of dozens of containers and can additionally be used to deliver containerized software to a cluster instead of individual workstations by automating the process of distributing and scheduling throughout a collection.

  1. Raygun

Raygun is a top-tier APM (application performance monitor) solution that provides superior tracking and crash analysis. Raygun assists DevOps in identifying performance issues by returning to the troublesome line of the operation, the application programming interface request, or the source code.

  1. Splunk

Splunk enables you to search, evaluate, and visualize actual machine-generated data or records, evaluate system state, and discover hardware failure spots. By sending device data to Splunk, the automation DevOps tool will analyze all accessible data for you and retrieve valuable data, assisting you in identifying precise causes and sources of problems.

  1. Git

Git is one of the most prominent DevOps automation tools in the software sector, utilized by large corporations like Facebook, Amazon, & Microsoft. Moreover, it is prevalent across remote teams and collaborators. Developers can follow the progress of development work and manage many versions of the underlying code using its networked source code management (SCM) paradigm. It uses host repositories like GitHub, where participants push their work.

  1. Ansible

Ansible is a configuration control solution that is agentless and provides constant delivery. Ansible can connect networks and push components from a single centralized point. It will proceed to run the modules and delete them when the operation finishes.

  1. Jenkins

Jenkins is an accessible CI server that automates the application project build cycle and is very flexible. Its pipeline feature enables developers to autonomously upload code to the storage facility, execute test cases, and retrieve reports. It will also give you immediate feedback and issue alerts if a sprint points to a faulty build.

  1. Bamboo

Atlassian, the developers of Confluence and Jira, introduced Bamboo as a CI service. Bamboo promotes “integrations that impact” and offers a Small Teams bundle with proceeds going to charity. Bamboo, like Jenkins DevOps Automation, includes prebuilt features, which means you’ll have to maintain fewer plugins. When compared with open-source alternatives, the UI is incredibly intuitive and saves a significant amount of time.

  1. BitBucket

BitBucket is a comparable repository to GitHub. It is a less expensive automation tool and allows developers to interact across the development lifecycle. BitBucket interfaces with project management systems like Trello and Jira, including CI/CD capability.

  1. GitHub

GitHub has been a leading DevOps and automation tool for developer interaction since 2000. Not only can programmers quickly modify current code (with alerts provided instantly to team participants). However, they can also make immediate reductions in the event of an error or disaster.

Also Read: 100+ DevOps Interview Questions You Must Prepare To Get Job


Automation is not an understanding in DevOps; it is a prerequisite. Teams may essence on what they excel at best: providing new explanations that satisfy the needs of their clients by automating monotonous and error-prone tasks. Automation rationalizes the software’s development process by plummeting human error, increasing rapidity and efficiency, and shortening CI/CD, IaC, and handling conformations. Moreover, this trend is maintained by tools such as Terraform, Ansible, Promethean, and Scriversi, which provide frequent DevOps automation structures or features that make the DevOps method more effective and productive.

FAQs (Frequently Asked Questions)

How Automation Is Done in DevOps?

Automation starts with the gathering of code in the developer’s workplace. Additionally, it continues until you upload the code to the context, after which the software program and system are observed in production. The primary concentration of DevOps methodology is industrializing network setup and management, as well as software deployment.

Can You Automate DevOps?

Automation can help in optimizing DevOps processes in various ways, including increasing the delivery rate, enlightening quality, lessening errors, and improving reliability.

What Are the Steps of Automation?

The significant automation steps are:

  • Identifying automation latent
  • Optimize and evaluate your processes
  • Explain the practicable procedure.
  • Make the essential forms and input masks.
  • Formulate for the launch.
  • Carry out the procedure automation.
  • Additionally, keep an eye on the consequences.

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