The main idea behind DevOps is to enable companies to keep up with the increased software velocity and advancements in agile culture for a smoother end-to-end software delivery cycle.
The main goal of DevOps is to accomplish integration and automation, which is why implementing this philosophy can be challenging. Not only do you need to replace older methods and practices, but you’ll also have to change the mindset of the developers and the operations team to ensure they work in sync.
Several IT operations teams and software teams have adopted DevOps practices into their work culture for faster evolvement and improved innovations. The pipeline comprises continuous integration, testing, deployment, as well as monitoring application and system performance.
Introducing new DevOps tools and changing the mindset to prepare teams for the fast-paced world remains crucial for a successful implementation.
Despite the revolution that this philosophy brings to software development, several enterprises find themselves taking DevOps to an unproductive extreme. To remain productive, one of the aspects that teams need to work on is reducing rework, and the best way to ensure this is automation.
Under a DevOps model, the development and operations teams are integrated into one to prevent them from getting siloed. This also improves collaboration and productivity.
You see, it brings alive the possibility of both the teams thinking more alike, working together and sharing responsibilities. This is done by automating code testing and workflows, automating infrastructure and continuously measuring application performance.
In some models, even the QA and security teams merge with the dev and ops. In cases where security becomes the primary focus, the name gets modified to DevSecOps.
In essence, the focus of DevOps is on automating processes that were otherwise manual and slow. Teams use a technology stack and tooling that can operate and evolve applications more reliably and swiftly. As engineers will be able to accomplish tasks such as deploying code and provisioning infrastructure faster with reduced issues, teams can reach testing and maintenance stages quicker.
Software products are mostly developed from the customers’ perspective, and if not, from end-user experience. Often, developers work backward to identify customer needs and wants for ascertaining successful innovation.
One of the biggest challenges when developing a software development life cycle (SDLC) strategy for organizations is to consider dynamic customer needs, strict compliance policies, unpredictable market trends and company goals. To ensure a consistent workflow, DevOps teams need to adopt standardization. In fact, workflows, technologies, processes, protocols and metrics need to be standardized before they can be automated.
This is also the main reason why organizations adopting DevOps need to strike a balance between standardization and adaptability. One industry that has excelled at this has been the financial industry, which has been leading the charge when it comes to adopting the latest software delivery practices and technologies, including DevOps. Financial executives view DevOps as being a way to improve security and risk and governance strategies.
The result is that cloud-based financial services are now automating virtually all of their processes through their software delivering pipelines, which makes tasks such as scanning receipts, sending invoices, tracking expenses or making payments seamless as they sync to your account. This simpler process is beneficial for boosting developer productivity and resource utilization, and for enabling enterprise scale management. If anything automating processes is becoming necessary for achieving higher product quality, compliance and scalability.
As mentioned above, new DevOps tools need to be introduced to team members to keep up with the constantly evolving strategies and implementation. But to prevent the creation of silos between teams, mechanisms need to be developed to make the adoption of new technologies easier.
Achieving the delicate balance between standardization and automation will help eliminate communication gaps, performance bottlenecks and silos between the different teams.
The following are the advantages of adopting a DevOps philosophy:
Organizations need to realize that automation involves placing technologies around once-manual processes. The catch here is as the processes will become inherently repeatable, they need to be correct. Otherwise, organizations will only have flawed processes running faster, which will ultimately defeat the purpose of adopting DevOps in the first place.
Companies need to understand adaptability as well. This can be done by mixing both the old as well as new systems. For this purpose, an inventory of all applications, data stores and development processes for promoting meta development processes that include design, development, testing, deployment, configuration management and so on can be made.
In the end, the secret to winning DevOps is aligning DevOps tools with your organization’s goals – not following the footsteps of other organizations.
Everyone knew HashiCorp was attempting to find a buyer. Few suspected it would be IBM.
Embrace revealed today it is adding support for open source OpenTelemetry agent software to its software development kits (SDKs) that…
The data used to train AI models needs to reflect the production environments where applications are deployed.
Looking for a DevOps job? Look at these openings at NBC Universal, BAE, UBS, and other companies with three-letter abbreviations.
Tricentis is adding AI assistants to make it simpler for DevOps teams to create tests.