DevOps Automation Practices Fuels Speed and Increases Code Quality

DevOps Automation Practices Fuels Speed and Increases Code Quality

Looking to speed up your development process and increase code quality? Check out our latest blog post on DevOps automation practices. From continuous integration to continuous delivery, learn how to automate your workflow and take your development to the next level.

Using DevOps Automation Approaches Helps Boost Velocity and Improves Code Quality

Organizational velocity and creativity are facilitated by DevOps approaches. However, the advantages of DevOps can be neutralized by the rising complexity of toolchains and the increased velocity of software development. The DevOps track at Dynatrace Perform 2022 will focus on how to eliminate issues in the DevOps workflow through automation.

Insights about DevOps automation procedures from this article:

DevOps automation approaches unite development and operations departments for faster, more responsive IT.

However, while DevOps approaches can increase developer agility, speed, and code quality, they can also add complexity and separate data sources.

Eliminating silos is impossible without automating DevOps Automation processes and procedures. Improved DevOps productivity, new ideas in software development, and higher quality code can result from more fluid handoffs across activities in the toolchain.

Dynatrace Perform is an annual conference for the Dynatrace software intelligence platform, and this year we’ll be showcasing new integrations that help to unify the toolchain, reduce complexity, and simplify DevOps automation procedures. DevOps and site reliability engineering (SRE) teams can coordinate their efforts to guarantee code quality and security by eliminating silos between them.

The pressure on businesses of all stripes to speedily innovate new products and services, satisfy their customers, and maintain or grow their revenue stream is ever-increasing. Teams working on software are, therefore, under pressure to deliver new features more quickly.

However, this constant acceleration can put at risk the quality of the code as well as other organizational objectives. The software industry is frequently at the crossroads of this haste versus quality debate.

DevOps automation and SRE teams have responded to this demand by adopting DevOps processes in order to develop and release higher-quality software more quickly. However, without the aid of AI and automation tools, it is difficult to properly execute DevOps automation due to the complexity of multi-cloud platforms and microservices design.

Automation Solutions for DevOps Improve Both the Rate and Quality Of Code Creation

In response to this urgency, DevOps approaches encourage collaboration amongst departments to speed up the software development, testing, and management processes while also improving quality and security.

DevOps is an approach to software engineering and IT operations that streamlines both fields in order to speed up the software creation process, increase the frequency with which new software is released, and guarantee the highest possible quality of the code at all times.

However, many DevOps automation procedures are still manual and compartmentalized. There are more opportunities for mistakes and omissions when dealing with manual labor, which increases the likelihood of missing security flaws and quality issues.

DevOps Automation: What is Its Automated Part?

DevOps automation teams require uniform, integrated methods to build code quickly and at a high quality so they can focus on innovation and high-value tasks. A set of automated DevOps procedures is required.

AIOps, short for artificial intelligence in IT operations, allows teams to automate routine processes, improve CI/CD pipelines, and deal with application security risks at an early stage in the software development lifecycle.

To What End is DevOps Automation So Useful?

Automation also aids in ensuring that new code is of good quality and that any defects are found and repaired promptly.

DevOps automation is helpful since it lessens the amount of manual labor required of developers and operations teams, which is a major time saver. Consequently, jobs can be accomplished more rapidly and accurately with less room for human error.

When all is said and done, DevOps automation facilitates a more cooperative atmosphere between the development and operations teams. By automating certain processes, the two groups will be able to work together more efficiently to bring customers updated features and bug fixes.

DevOps automation works well for several reasons. For one, it facilitates the prompt rollout of updated features and bug fixes to paying clients.

Why is DevOps Automation So Effective?

There are many reasons why DevOps automation is so effective. One reason is that it allows for faster delivery of new features and fixes to customers. DevOps automation also helps to ensure that the quality of new code is high and that bugs are quickly identified and fixed.

Another reason why DevOps automation is effective is that it helps to reduce the amount of manual work that needs to be done by developers and ops teams. This means that there are fewer opportunities for human error and that tasks can be completed more quickly and efficiently.

Finally, DevOps automation helps to create a more collaborative environment between developers and ops teams. By automating tasks, both teams can focus on their core strengths and work together more effectively to deliver new features and fixes to customers.

Focusing on DevOps automation at Perform 2022

The DevOps technology track at Dynatrace Perform 2022, “Empowering digital game-changers,” will explore how observability, AI, and automating DevOps practices can increase the velocity and quality of software development teams.

This session focuses on recent developments for the Dynatrace DevOps software intelligence platform, including announcements and integrations that help businesses achieve fully automated, AI-driven DevOps and increase output. The song focuses on a number of subjects, including:

Insuring dependable production as a driving factor. How do companies get back to normal after experiencing setbacks? Service-level objectives (SLOs) provide a measure of accountability for SRE and DevOps Automation teams, allowing them to proactively address issues before they escalate. The DevOps stream additionally investigates the way in which automated remediation and incident management aid businesses in bouncing back rapidly from production incidents, thus reducing the extent of the damage done to end users and avoiding the breach of SLAs.

Improving turnaround time without compromising high-quality output. DevOps Automation teams often find themselves in a catch-22 situation in projects. The pace at which teams must now deliver their software has increased. However, quality is often sacrificed in favor of speed. Teams can avoid sacrificing either side of this crucial equation by using automated methods to track code, assess quality, and provide rapid feedback.

Automatic orchestration of the entire DevOps process. The complexity of DevOps toolchains rises alongside the maturity of DevOps processes. Developing and maintaining these toolchains takes time that may be better spent innovating, so development teams have to prioritize them. Developers can set aside routine tasks and focus on providing value to clients by taking advantage of open, event-based standards.

It would be ideal if the detection of an issue by a team immediately prompted a corrective action. Once a remediation script has been run and has failed to resolve the issue, the system should generate a service desk ticket and notify the appropriate teams via Slack. The ability to streamline the use of many tools allows teams to devote more time to their primary goal: developing and testing high-quality code.

Conclusion

When it comes to DevOps, automation is a hot topic. We want to make sure that you are fully informed about how to leverage automation in your business in order to optimize your DevOps automation practices and see the positive results that come with it. We hope that this blog post has helped to answer any questions you may have about how to get started with DevOps automation, and we would be happy to answer any questions that you may have in the future. Please contact us anytime at Enteros. If you are looking for more helpful information about DevOps, we would be happy to help you.

About Enteros

​Enteros​ offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of RDBMS, NoSQL, and machine learning database platforms.