What is DevOps Automation and How it Transforms Organizations?

9 MIN READ

According to a DevOps report for 2021, 98% of business leaders report that integrating DevOps into applications is a milestone movement toward digital transformation.

As the name suggests “DevOps” is an amalgamation of development and operation. It is a framework that looks into prioritizing cross-team collaboration. DevOps ensures seamless collaboration between software development and operation teams to streamline the delivery pipeline. On this note, it is important to know that DevOps is not a single tool but a cultural shift.

To level up deployment efficiency, DevOps automation is gaining popularity today. For a detailed knowledge of what DevOps automation is, read this blog till the end.

What is DevOps Automation and How it Transforms Organizations

Understanding DevOps Automation
To understand what DevOps Automation is, let’s look into its definition and scope in a simplified manner.

DevOps automation refers to a set of tools and technologies that help engineers to automate routine and monotonous tasks. Without automation processes, software developers need to conduct such tasks manually. This takes up a lot of their time and slows down the delivery pipeline.

Hence, DevOps automation helps save time by automating such repetitive tasks in the software development cycle. These aim to simplify the development process while improving reliability, efficiency, and consistency in the deployment pipeline.

Automation in DevOps orchestration involves diverse processes and strategies. These help enable faster feedback loops to reduce human-generated error. Additionally, the DevOps automation strategies also help ensure streamlined collaboration within departments to promote a culture of continuous improvement.

The scope of DevOps consulting services involves proven strategies and solutions to reduce integration problems. It also involves strategies to ensure early defect detection provides room for continuous feedback while tracking progress. Furthermore, the scope of what is DevOps automation also looks into enhancing an environment of collaboration and harmony between teams to streamline the deployment process.

With DevOps automation tools like Continuous Integration and Continuous Delivery, teams efficiently merge different functions and deploy them. This allows your organization enough time to market new products or feature updates.

Importance of DevOps Automation

Importance of DevOps Automation
To have a detailed idea of what DevOps automation is, it is also crucial to know its importance for deployment pipeline.
The points below will provide a comprehensive idea of the importance of DevOps automation process.

Enhanced Speed and Efficiency

With DevOps Automation, you can focus on catalyzing the software development cycle by reducing manual labor. This will furthermore, assist in lower human interference and faster execution of tasks.

It is also important to note that automation of DevOps processes can also help in streamlining, building, testing, and deployment. This enhances the frequency of delivery of features devoid of any bugs.

Detection of Issues at Initial Stage

Detection of Issues at Initial Stage
Very often, to speed up the delivery pipeline, developers tend to overlook minor errors. These can lead to grave software failures or data breaches.

However, DevOps automation tracks every minor error and addresses them during the development cycle. This makes the deployment process easier and cost-efficient while fixing the errors.

Improved Collaboration and Communication Process

DevOps automation tools also help foster a work environment of collaboration while streamlining communication by improving transparency between teams involved.

Furthermore, with easy sharing of information, DevOps automation tools streamline the communication process with a 360-degree feedback system. This will help all team members stay on same page with the software development and track the bugs.

Better Quality and Consistency

Better Quality and Consistency
The DevOps automation testing process ensures that the code changes are continuously checked and validated. The frequent scrutiny reduces instances of defects and bugs before the software enters the production stage. It also ensures consistency in deployment of software that further ensures the software reflects the superior quality while behaving predictably.

Less Manual Errors

As said before, DevOps automation reduces manual work to a certain degree. This, not only optimizes efficiency in deployment process, but it also lowers cases of human errors to optimize accuracy.

Furthermore, scripts and automated workflows also tend to standardize the DevOps automation process. This helps eliminate variations that can further cause errors.

Faster Time-to-Market

Faster Time-to-Market
You are already aware of what is DevOps automation and that one of its prime roles is to reduce the manual labor that goes behind. This helps save a lot of time in the development process. Consequently, by streamlining the development process, you can ensure faster deployment of products. Furthermore, getting the software ready at a shorter period, also acts as an edge as you will get ample time to market new applications or new feature updates. This will eventually help you create a buzz before the actual product launch.

Cost Savings

With automation, you do not need to manually control every process. Besides being time-saving, DevOps automation is also a cost-efficient process as it covers for the operation cost. Furthermore, DevOps automation also detects bugs at an early stage. This helps developers avoid costly outages and bug fixes which are common in conventional methods.

Benefits of DevOps Automation

Benefits of DevOps Automation
To know more, consider browsing through the following benefits.

Better Collaboration

By automating DevOps orchestrations, you can enhance transparency among departments which will lead to improved communication and collaboration.

Improved Speed and Efficiency

Improved Speed and Efficiency
Ensures acceleration of development process leading to faster deployments.

Scope for Continuous Improvement

With an all round feedback system, every team member stays on loop regarding project progress. This provides a scope for continuous improvement for every team member working on the particular software deployment cycle.

Improved Resource Utilization

Improved Resource Utilization
Reduces manual labor and hence can free up teams to prioritize bigger tasks.

Early Issue Detection

The DevOps automation tools are capable of identifying issues and bugs at a very early stage and fixing them before deployment.

Better Consistency and Quality

Better Consistency and Quality
With automation of DevOps, development and deployment teams ensure a reliable and consistent behavior of software.

Scalability

DevOps automation pipeline ensures handling of multiple tasks efficiently.

Essential Tools for Automation

Essential Tools for Automation
For a more comprehensive idea on what is DevOps automation, you must also have an idea of the essential tools used for an automation process.

The points below will take you through some of the essential DevOps automation tools.
Ansible
Jenkins
Docker
Kubernetes
Git
Jira
Selenium
Chef
Prometheus
Terraform
Azure DevOps automation is another crucial platform by Microsoft that enables development and deployment with an end-to-end DevOps tool chain. Furthermore, Azure DevOps also integrates with most tools popular in the industry. All these features enroll Azure as a go-to tool for DevOps orchestration.

Key Challenges and Considerations of DevOps Automation

Key Challenges and Considerations of DevOps Automation-min
Here are the key challenges that you might come across while working with DevOps automation and their solution.

Complexity Management

Switching to automated pipelines can be a complex and overwhelming process. To address this, your team can focus on simplifying processes using DevOps automation and testing tools. You can also contact DevOps-managed services to assist you in the transition process to manage complicated workflows efficiently.

Skill Gaps and Training

Every team member might not be up to date with the DevOps automation process. This might lead to gaps between team members with quick adaptability to new platforms and the ones who are comparatively slower.

A wise way to address such scenarios is by using DevOps orchestration tools and practices that help simplify tasks. Additionally, organizations can also organize training sessions and programs to focus on training and up skilling the team.

Cost Management

Organizations must also ensure a balance in handling expenses of automation tools and cloud resources. To address this, one must optimize strategies for resource usage and choose cost-effective tools and practices.

Future Trends in DevOps Automation

Future Trends in DevOps Automation
Here are the noteworthy DevOps automation trends that hold the potential to revolutionize DevOps orchestration processes in forthcoming years.

DevSecOPs

As cyber security of sensitive data is a growing concern for businesses and organizations across all domains, DevSecOps is slowly yet steadily gaining recognition. According to latest reports on utilization of DevSecOps, 50% of firms conduct the SAST test while 40% of firms conduct the DAST test. The remaining 10% run scans on dependencies and containers.

To understand in simple terms, DevSecOps is a revolutionary tool that integrates security in the delivery pipeline. It tracks any threat to security at an early stage during software development. Thus, this allows DevSecOps to reduce risks associated with any security vulnerabilities in the deployment pipeline.

MLOps Implementation

MLOps Implementation
MLOps or AIOps is a set of tools that uses machine learning and artificial intelligence to automate DevOps processes. By implementing MLOps automation in DevOps cycle, you can ensure efficiency by monitoring IT operations and management. This can also introduce real-time analysis of large datasets which can further detect anomalies. Along with these, AIOps and MLOps can also reduce manual tasks and optimize accuracy and efficiency.

Cloud Platforms

The demand for a bigger resource library and storage place for seamless flow in the deployment pipeline is introducing the need for a cloud-based platform in DevOps automation services. Cloud platforms also provide organizations with a large platform to develop and deploy applications and software that can be managed by team members sitting anywhere. This allows team members to focus on products and services rather than infrastructure.

Serverless Computing

Serverless Computing
Serverless computing takes cloud computing to a new level with an execution model that manages allocation of machine sources dynamically. Consequently, customers do not require servers that result in cost savings, improved efficiency, scalability, and fast-growing development cycles.

Final Thoughts

This is everything you need to know on what is DevOps automation and its necessity in software development cycle for organizations today.

To conclude, embracing automation in DevOps is no longer a choice but a necessity for organizations. With DevOps automation tools, your organization can strive to deliver reliable, accurate, and efficient software and products at higher frequency. For a smooth transition to DevOps automation, you can connect with the best DevOps service providers.

To know more, about how MoreYeahs‘ team of professionals aims to revolutionize the software development cycle for your firm explore our website.

Frequently Asked Questions

Yes, DevOps tools are orchestrated in a manner to be integrated into your existing systems and technologies. To ensure this, DevOps tools come with API, plugins, and extensions for easy integration.
Some of the popular DevOps automation tools are Jenkins, Docker, Prometheus, Nagios, Phantom, Terraform, and GitLab CI/CD.
Some DevOps automation process tools that are highly in demand are GitOps, Low Code Applications, Microservice Architecture, DevSecOps, and Kubernetes.