DevOps Automation: What DevOps Tasks Should You Automate?
May 16, 2022

Brian Galura
Convox

As software development teams grow, so does the number of headaches they have to deal with — or "the curse of growth" as some like to refer to it. One such headache is the pressure to deliver new products and features consistently.

Many teams respond to this pressure by adopting a DevOps culture to ship products and features more speedily while preserving business value.

But "adopting a DevOps culture" means different things to different teams. Running a docker run command to automate application deployment might suffice for some. However, one command might not be enough for others with more extensive product portfolios. For these, automating multiple tasks within the DevOps process might be necessary to boost speed, precision, and consistency while reducing human error.

The latter, for many organizations, boosts the likelihood of meeting business goals with higher operational consistency and lower potential for human error. But the journey begins by understanding a team's DevOps flow and identifying precisely what tasks deliver the best return on engineers' time when automated. The rest of this blog will help DevOps team managers by outlining what jobs can — and should be automated.


Continuous Integration/Continuous Delivery

Proponents of agile methodology see CI/CD as the best practice for DevOps teams. By automating integration and delivery, software development teams can seamlessly optimize code quality and software security in the background while committing their focus to business objectives.

This automation accelerates the speed to market through quicker, more efficient shipping of software products.

Automatable processes that fall within the CI/CD umbrella include:

■ Builds

■ Code commits

■ Deployment of packaged applications in production/testing environments

Infrastructure management

DevOps teams can test applications in a simulated production environment much earlier in the software development lifecycle (SDLC) by automating infrastructure. This is especially useful as configuration and maintenance of infrastructures such as networks and servers is time-consuming. Automating infrastructure exchanges the burden of manual configurations with the gift of multiple test environment provisioning — so that developers can resolve common deployment issues early in the SDLC.

Provisioning

Automated provisioning facilitates the provision of computer resources on-demand and without human intervention. By automating provisioning, businesses can accelerate product delivery with a highly scalable, flexible architecture and dynamic resource allocation.

Application Deployment

According to Google's DevOps Research and Assessment Program (DORA), deployment automation is instrumental in accelerating software delivery and improving overall organizational performance.

With deployment automation, engineers can minimize the risk of production deployments by seamlessly deploying software to production and test environments. Automation also expedites the feedback loop, enabling teams to implement faster tests and updates.

Software testing

Test automation reduces the dependence on human intervention during testing. Test scripts, automation frameworks, and tools help engineers check product functionality more efficiently. Test automation can be applied to a range of testing tasks, including:

■ Unit testing

■ UI/UX testing

■ Smoke testing

Log management

Applications rely on logs for fault identification, and each application can generate a significant number of logs. The process of error identification and resolution can be eased with automation by using log management tools for aggregating logs.

Monitoring

As new features are added, so is an added layer of complexity for monitoring the performance of applications. By automating monitoring, DevOps teams can identify and resolve any declines in the customer experience more efficiently.

Final Word

Against an industry background of engineer scarcity, DevOps automation reduces the number of human engineers required to perform critical tasks. Introducing automation into an organization's DevOps culture accelerates multiple processes while facilitating seamless scaling with more efficient workflows. DevOps team managers should choose tools with high automation capabilities to utilize their engineering resources more efficiently and see results faster.

Brian Galura is CEO of Convox
Share this

Industry News

May 16, 2024

Pegasystems announced the general availability of Pega Infinity ’24.1™.

May 16, 2024

Mend.io and Sysdig unveiled a joint solution to help developers, DevOps, and security teams accelerate secure software delivery from development to deployment.

May 16, 2024

GitLab announced new innovations in GitLab 17 to streamline how organizations build, test, secure, and deploy software.

May 16, 2024

Kobiton announced the beta release of mobile test management, a new feature within its test automation platform.

May 15, 2024

Gearset announced its new CI/CD solution, Long Term Projects in Pipelines.

May 15, 2024

Rafay Systems has extended the capabilities of its enterprise PaaS for modern infrastructure to support graphics processing unit- (GPU-) based workloads.

May 15, 2024

NodeScript, a free, low-code developer environment for workflow automation and API integration, is released by UBIO.

May 14, 2024

IBM announced IBM Test Accelerator for Z, a solution designed to revolutionize testing on IBM Z, a tool that expedites the shift-left approach, fostering smooth collaboration between z/OS developers and testers.

May 14, 2024

StreamNative launched Ursa, a Kafka-compatible data streaming engine built on top of lakehouse storage.

May 14, 2024

GitKraken acquired code health innovator, CodeSee.

May 13, 2024

ServiceNow introduced a new no‑code development studio and new automation capabilities to accelerate and scale digital transformation across the enterprise.

May 13, 2024

Security Innovation has added new skills assessments to its Base Camp training platform for software security training.

May 13, 2024

CAST introduced CAST Highlight Extensions Marketplace — an integrated marketplace for the software intelligence product where users can effortlessly browse and download a diverse range of extensions and plugins.

May 09, 2024

Red Hat and Elastic announced an expanded collaboration to deliver next-generation search experiences supporting retrieval augmented generation (RAG) patterns using Elasticsearch as a preferred vector database solution integrated on Red Hat OpenShift AI.

May 09, 2024

Traceable AI announced an Early Access Program for its new Generative AI API Security capabilities.