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Benefits of DevOps Automation

DevOps has advantages over traditional isolated methods, so it is widely used. It is often used especially because of how it uses automation to improve the process. These improvements include:

Reduce the implementation and delivery time of services.

Improve the productivity of development and operations teams.

Save costs by reducing labor and optimizing resources.

Standardize the process to speed up delivery and improve reliability.

Improve performance and reduce tool redundancy.

DevOps automation can benefit projects ranging from government IT to commercial software delivery. It enables the team to accept current technologies and optimize processes, leaving more time for innovation.

Here are six automation trends that can change DevOps pipelines.

1. Demand for automated governance of infrastructure

Governance becomes critical as organizations adopt more automation tools and increase the number of their automated processes. As a result, organizations will start giving priority to automated compliance, security, and cost audits in 2020.

This enhanced governance will require organizational monitoring and validation:

How to build automation-including what security or inspection measures are taken, and how to monitor the system.

How to use it-including who is using it, and which systems or services can use automation tools.

How to protect it-including how to manage secrets, how to manage access, and how to identify vulnerabilities.

How to optimize-including cost control measures, resource management and performance verification.

To ensure effective governance, organizations will need to invest and implement comprehensive control mechanisms. These mechanisms need to provide visibility into their systems and cover a range of environments, including cloud computing and on-premises environments.

two。 Promote seamless infrastructure

Automation tools will be more integrated into systems and processes. Teams with in-house deployment expertise will customize tools to better integrate with existing infrastructure. At the same time, smaller teams of experts will use prefabricated plug-ins and replace incompatible resources and tools. This demand will open the market for managed solutions as well as new solutions.

To achieve a seamless infrastructure, the team will need:

Evaluate how automation is used and current infrastructure limitations.

Manage the balance between technical debt and new instruments.

Ensure that team roles are fairly represented and supported by any adopted automation.

3. Integration of artificial intelligence and data science

Automation technology is usually associated with artificial intelligence and data science. It uses artificial intelligence to guide operations and data science to perform analysis effectively. However, artificial intelligence and data science can also be used to improve automation processes and efficiency. For example, the DevOps team can analyze the log data to determine where to optimize the pipeline. Alternatively, they can use artificial intelligence to adaptively determine the test suite or deployment time. Both uses will increase as the team strives to achieve higher productivity.

The application of artificial intelligence and data science will also increase in other sectors. For example, the pipeline is similar to the content used in DevOps, where marketing teams can use DevOps to provide highly personalized content to customers. Ultra-personalized content uses personal customer data to provide content that closely matches individual interests and preferences. The use of automation pipelines in other areas of business will create the need for smarter and more professional automation tools.

4. Maturity of site Reliability Engineering (SRE) role

Site Reliability Engineering (SRE) is the predecessor of DevOps. It combines all aspects of development, operations, and infrastructure management. For many organizations, the leap from isolated roles to fully merged responsibilities is too big. However, the adoption of DevOps overlaps the knowledge and skill sets of many team members. This overlap makes a single unified site Reliability Engineering (SRE) role easier to access and implement.

This growing accessibility is particularly important as more and more operations and tools rely on code. For example, the growth of infrastructure or code is common in many cloud deployments. In order to manage extension pipelines and other automation processes, team members will need to develop site Reliability Engineering (SRE) skill sets and assume site Reliability Engineering (SRE) responsibilities.

5. Availability of Zero contact Automation

Zero-contact automation involves setting up automation processes and then using machine learning to adapt to changing conditions and needs. At present, it is mainly developed in the telecommunications industry, but it has potential in all fields.

With the improvement of this technology, you can expect to see it has been adopted by the DevOps pipeline. Through effective integration, zero-contact automation can further improve the agility and speed of software development and deployment.

6. Increase trust and communication

DevOps is based on collaboration, which depends on trust and communication among team members. In order to improve the effectiveness and efficiency of the DevOps process, organizations must strive to promote and increase this trust and communication. To reap these benefits, the organization will use automation to support the team. The two methods that can be implemented are:

Better integration of feedback and alert tools-these tools improve the visibility and accountability of the process. When individuals can see what each member is doing and participate in their evaluation, they will gain respect and trust for other members.

Automatically create an environment-especially a temporary environment. This environment can help bridge the gap between development and release. When teams see that products can be reliably put into production without intervention, they will gain trust in their products and an automated infrastructure.

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