What Is The Future Of Devops Automation?

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What Is The Future Of Devops Automation?

Excerpt: As DevOps enters its second decade, its emphasis has changed away from product delivery. DevOps Automation is the use of innovations to enhance feedback loops between operations and development teams, allowing for faster delivery of repeated notifications to production environments. It’s no longer only about dev and ops; it’s about removing barriers between the business and its customers, with just an aim of delivering value rather than just innovative capabilities and products.

Table of Contents: 

  • Introduction
  • What is DevOps Automation?
  • Examples of DevOps Automation
  • How is DevOps aided by Automation?
  • Why is it necessary to automate DevOps tasks?
  • What is the process to be automated?
  • DevOps future trends
  • Conclusion

Introduction

It is theoretically possible to perform DevOps procedures such as Continuous Integration, Continuous Delivery, and log analytics by hand. However, doing so would require a large team, a lot of time, and a level of coordination and communication within and between team members that aren’t feasible in most cases.

Software tools and preset parameters can be used to automate these processes. Notwithstanding, automation reduces the dependence on humans in a DevOps practice for simple, repetitive work.

What do you understand exactly about DevOps Automation?

DevOps practises require a lot of automation, and the basic aspect of DevOps is to automate everything. Automation begins with the generation of code on the developer’s machine and continues till the code is tried to push to the code, after which the application and system are monitored in production.

DevOps automation is indeed the complement of technology which perform functions with less human involvement to ways to facilitate feedback loops among operations and development teams, allowing for faster deployment of iterative updates to production applications.

DevOps automation increases the number of deliveries while improving speed, continuity, precision, and reliability. The whole advancement, implementation, and verification phase are covered by DevOps automation.

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Here is a few good examples of DevOps Automation:

  • Infrastructure-as- Using configuration files written in advance, code tools can automatically adjust software environments.
  • Release automation suites could be used to build, test, and deploy new versions of an application.
  • By assessing how a new version of an application behaves, automated testing frameworks can determine if it needs to meet predetermined levels of quality.

DevOps is aided by automation

Automation advantages the DevOps lifecycle, not the other way around. Automation can be used to replace more than just human interactions. By automating specific DevOps jobs or procedures, efficiency and performance can be improved. In relation to the number of resources that are used to automate the operation, this should result in a lower return. Automation combined with a strong DevOps workflow, on the other hand, will result in higher-quality software with more frequent releases while having no negative effect on the organization or end-user experience.

Why is it necessary to automate DevOps tasks?

From just a marketing perspective, DevOps automation reduces the time it takes to deploy features. Automation also improves platform availability and reliability by preventing it from occurring caused by human error, environmental irregularities, or self-healing. From an engineer’s perspective, DevOps tools embolden development teams and increase their effectiveness. It also reduces the need for large development teams by reducing cross-team friction and reducing duplication and repetitive work across multiple development teams.

DevOps approaches can and should be used to achieve those goals because they seamlessly integrate with Agile Methodology.

What are the processes that should be automated?

 The primary objective of DevOps automation is to keep moving toward a self-service model.

  • The responses to incidents are automated.
  • Developers have access to on-demand resources.
  • When re-architecting applications, business requirements are taken into account.
  • Security teams are involved in the design and development phase.

After automating the restrictions that engineers confront when releasing and rolling out new code to production, massively increasing design velocity in the process, organizations begin to look into how much they can automate in the operational stage when software has been in manufacturing and providing business value.

Analyze the latest incident data for operational slowdowns, particularly recurring issues. Determine what causes long-term or recurring events. The platform’s reliability and availability should be improved by either trying to prevent or reducing the impact of certain kinds of incidents.

Define success and build a business case after you’ve decided which challenges automation could indeed help you with.

Whereas we can’t foretell the outcome of DevOps, there are some DevOps future trends which we can anticipate seeing in terms of DevOps development.

DevOps Future Trends

  • Automation that has been well-implemented

Many organizations have over-automated DevOps as a result of a misinterpretation of what DevOps has been and an over-reliance on waterfall structures, resulting in inefficient oversight and a fundamental failure in team communication. As the industry matures, we can expect to see a surge in the marketing of more DevOps automation tools, and even though developers will need to better understand how to strike a balance among features that can be automated and features that require the personal touch of an experienced engineer.

Regrettably, the industry will need a chance to sort it out.

  • Automation Isn’t Going Away

Automation has improved IT operations in recent years, and it has also simplified the DevOps development process. You’ll also notice a competition between vendor-supported options and open source developers working with their own projects. Automation can help businesses complete tasks more quickly than they could on the cloud. The existence of automation is particularly noticeable in hybrid cloud environments.

We need a unique opportunity to create more cloud-native applications now that a multi-cloud global environment is becoming a reality. These groups are constantly working to deploy services that bridge the gap between concept and execution.

Predictive DevOps should be the next business-value-creating transformation. DevOps teams will shift their focus from tracking the application or infrastructure to monitoring the business in order to achieve true value. To start generating automated outcomes all over different phases and activities within the lifecycle, DevOps would then depend heavily on more advanced and autonomous techniques. In order to achieve this, robotic process automation tools will infiltrate the DevOps ecosystem, assisting with the automation of manual and error-prone tasks for increased productivity.

Teams will be able to reduce their test automation time as a result of this. Standard unit testing and human code reviews will be joined by code reviews for improved validation of post-code commits. These will make it easier to spot more complicated security, capabilities, and framerate drops.

On average, it is more effective to use freely available tools and standards instead of establishing and maintaining your own.

Before you add a new tool to your technological stack, think about the following:

  • Directly incurred costs (licensing and hosting)
  • Attempts to launch (initial investment)
  • Efforts to keep the status quo (ongoing investment)
  • As a result of the addition of complexity, the system has become more complex.
  • Is there anything else you can do with a tool? dependability and support requirements

Final thoughts:

In a perfect world, you’d have a tool that could solve your current problem while also being useful for future ones. Continuous integration allows well-known tools to be used for automated testing and deployment, reducing the amount of time (and effort) required to ship code. Measurability, problem resolution, and automated mitigation solutions are just a few examples. Businesses will benefit from increased dependability and client satisfaction as we unload the mundane task of operating software in production. The tools we used to keep our software running in production were very innovative.

Author Bio

Meravath Raju is a Digital Marketer, and a passionate writer, who is working with MindMajix, a top global online training provider. He also holds in-depth knowledge of IT and demanding technologies such as Business Intelligence, Salesforce, Cybersecurity, Software Testing, QA, Data analytics, Project Management and ERP tools, etc.

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