The term “DevOps” first appeared on the scene about a decade ago. Now we all know that DevOps describes a continuous professional collaboration between IT workers and software developers. In this article, we plan on describing some of the possible future paths for this blossoming technology field.
Data Science and Artificial Intelligence
Many companies that have implemented DevOps into their business practices have received numerous benefits. In the future, data science teams may use DevOps development practices due to the prevalence of custom application development. When data scientists use DevOps, they can redo production models while testing previous models that they already deployed. The trend will only get more popular as custom application development teams and data scientists come together to maintain different applications.
Automation Is Here To Stay
Automation can allow businesses to do their work faster than it would be on the cloud. The presence of automation is especially evident among hybrid environments in the cloud. While many CEOs like the idea of the hybrid cloud, most companies can’t make the technology do exactly what it wants.
In the past few years, automation not only changes IT operations for the better, but it also makes the DevOps development process a whole lot simpler. You will also see a competition of sorts between vendor supported options against developers working on their own open source products.
In 10 Years, DevOps Will Look Extremely Different
For one thing, containers will become the bread and butter of the execution of applications. It could even become the standard bearer of both “Dev” and “Ops”. Additional technological changes could include functions that can operate without servers. Along with microservices, the structure of the application will become more flexible in its operations. However, some downsides from these changes can include the technology becoming a bit more difficult to manage over time.
To deal with these upcoming shifts, a change will need to get made in the workflows and tools of DevOps. But once container-native and cloud applications become more available, better tools will also appear. With these changes, developers will no longer be required to write code on their computers or install required tools. Look for integrated development environments (IDEs) that are based on the web to come through SaaS. But this last shift might come through a restricted enterprise cloud system.
The Tools of DevOps That We Will Need
As developers and IT professionals look for a way to increase the infrastructures of IT, they create new capabilities for this technology, cut down costs, and avoid cloud vendor issues. These workers need a traffic strategy that takes care of the health of its infrastructure throughout the data centers and the experiences of end users.
Now that a multi-cloud global environment is coming to pass, we need a new way to create more applications that are native to the cloud. These teams constantly work to deploy services that close the chasm between the idea and the actual delivery. What DevOps does well is to connect developers and IT professionals with end users. This access helps DevOps team to stay away from products that don’t really meet their most important needs.
People who work in the DevOps industry have the ability to see flaws in their technology and can correct any mistakes quickly. What sets apart the DevOps teams from professionals working in other tech fields is that DevOps workers collaborate with people all across the stakeholder path.
Despite all of the rapid changes that are taking place in the DevOps industry, a few sticking points are slowing things down. These issues include some of the following:
Continuing deployment
Fully automated testing and QA
Touchless automation for software
When you take the technology of DevOps and put it in a multi-cloud environment, teams can pursue innovation in a productive and supportive space. New platforms and tools coming in the near future will deal with many of the mundane deployment details. These changes, along with automation, AI, and other upcoming shifts, will make DevOps an exciting field to follow.
