Adopting and Fostering a DevOps Culture
September 17, 2019

Ajay Kaul
AgreeYa Solutions

While DevOps has been around for a decade and has proven effective in delivering applications faster and more reliably while saving money, many organizations have not embraced or implemented DevOps methods. In order to effectively implement DevOps throughout an organization, changes are required in its technology culture — beginning at the top.

Some organizations still use a manual-build process, don't create unit tests and only utilize manual QA testing or manual deployments. They must change their way of thinking, and spend the time to automate these tasks, if they are to implement DevOps methods effectively. For many people in technology, the benefits of automating these tasks are self-evident.

So, why are some organizations still performing many or all of these steps manually?

For these organizations, making the change requires a significant paradigm shift. The developers, QA and IT operations staff are used to doing things a certain way. Many are under so much pressure to deliver on time, they don't have a moment to consider, understand or implement a different approach. The misconception is that implementing technology or project management tools to automate these processes will take more time and cost more money.

Initially, it will take some time, and incur an additional financial cost, to learn and implement DevOps methods. However, in the long term, time expenditures and costs will be reduced. For example, once an automated build process has been created for an application, the effort to manually build the application is eliminated for all future builds.

Starting with CI/CD

DevOps is about more than just implementing a continuous integration and deployment ("CI/CD") process. However, if an organization does not have a DevOps practice, this is a good place to start.

Using a continuous integration tool, each build is run automatically to check its code against the version control. By adding continuous deployment, a web application may be automatically deployed to a web server, mobile application, distribution server or app store. Automating these processes also eliminates reliance on the availability of certain individuals, who may be the only ones that know how to manually perform the build or deployment.

Another benefit from an automated build process is that every step of the build is performed consistently each time it is run, ensuring that steps are not missed. This may include creating a deployable artifact, code linting, running the unit tests and running integrations tests. Deploying these tests consistently automatically improves the quality and reliability of the application. Bugs are detected earlier in the development process, which reduces the overall effort and cost to fix them.

By reducing the time and effort it takes to build and deploy an application, costs are reduced, and applications can be delivered more quickly, with higher quality. This reduction to ongoing costs offsets the initial investment to create the CI/CD process.

Organizations that are developing applications for themselves, over a longer timeframe, may be more willing to consider a change to using DevOps methods. Organizations developing applications for other businesses may not believe they will experience similar benefits — particularly, if it's for smaller projects that only take a few months to complete. However, even these organizations can benefit from using DevOps methods for short-term projects. Once the CI/CD systems have been set up, and processes have been created for a project type (NET, iOS, Android, etc.), a template for each project type can be created and used in similar, future projects.

Changing to a DevOps culture starts by helping management understand the benefits of a DevOps practice. It is not technology for technology's sake, but rather brings value to the business — reducing cost and time, while delivering an application and improving overall quality.

Ajay Kaul is a Managing Partner of AgreeYa Solutions
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.