AI Continues DevOps Expansion

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Artificial Intelligence gives us the ability to clear out the clutter and just focus on the bits of data that are truly valuable. It is an effective and popular solution for targeting complex IT tasks, and DevOps is a great example of this. Many companies are seeing success when they use machine learning techniques to analyse their source code. It is clear that artificial intelligence is only going to further DevOps expansion.

The Companies Using AI For DevOps

Swedish business CodeScene is currently using artificial intelligence and machine learning in order to review source code in great detail. They can offer their clients the ability to analyse version control metadata over a set time frame and determine any areas in the code where more attention should be paid. This is just one excellent example of how artificial intelligence is continuing to develop the world of DevOps. Another company to watch is Haystack Analytics, which are making waves in mining GutHib data in order to boost the quality of software, optimise processes, and remove bottlenecks. They are helping development teams to avoid getting bogged down in the details and delivering subpar quality work by using data to identify any weak points. Their solutions can analyse the delivery funnel in detail and use AI to find the underlying cause of problems which the development team can then address appropriately. GitLab recently announced that the business has acquired UnReview, a developer that is using machine learning technology to automatically identify the right code reviewers. GitLab is making plans to use this technology as part of its own DevOps platforms. According to their research, three out of four DevOps workers are using artificial intelligence technology or machine learning as part of their testing process or are planning to use it in the near future.

How AI Is Improving DevOps

Developers have been speculating on the next big thing for the world of DevOps for years. It is an industry that is constantly evolving and is prone to rapid change, and the rise of artificial intelligence has only added to this. Some believe that artificial intelligence and machine learning tools are beginning to replace the role of a developer in a new trend known as AIOps. While we are still some way away from AI taking over DevOps completely, this technology has certainly expanded the field. Here are just a few ways that artificial intelligence is changing DevOps:
  • Automation
Artificial intelligence can be used to create various automated code development and deployment techniques, which can automate some of the fundamental processes of DevOps. Many developers are able to use AI tools to keep on top of the complex systems they are working with, through automation. These automation techniques and the use of AI in DevOps don’t just make life easier for developers, but they also bring new possibilities to the projects being developed. AI systems are able to work incredibly quickly and tailor scenarios to specific individuals.
  • Scale
The majority of DevOps teams are now running multiple different clouds, and artificial intelligence interfaces have become somewhat of a necessity for developers to scale and evolve their DevOps programmes. Developers spend a lot of time looking into data and at various systems, and machine learning technology has been able to take on a lot of these mundane tasks effortlessly. Allowing DevOps teams to scale more effectively than ever before.
  • Speed
Artificial intelligence is already having a massive impact on both the speed and the quality of the software being produced by DevOps teams. GitLab conducted some recent research by surveying more than 4,000 developers and found that many companies are releasing new code up to 10 times faster than they were previously. 75% were using artificial intelligence and machine learning for reviewing and testing their code in pre-release, which is 40% more than one year ago.

The Challenges Of AI In DevOps

Artificial intelligence is certainly bringing many advantages to the world of DevOps, but there are certainly some challenges with this technology as well. It is easy to assume that developers would see their workloads decrease with machine learning tools being adopted throughout the development sector. Unfortunately, this is certainly not the case for most DevOps teams. They might be spending less time managing the day-to-day tasks for their software, but this saved time is then moved onto more valuable tasks. This often includes analysing development goals and strategic planning. Many experts imagined that the AI revolution would end up making DevOps obsolete, but those in the industry have soon realised these tools are great for assisting their roles, not replacing them.

Artificial Intelligence Training

Here at TSG Training, we are specialists in training courses for the software development industry. We offer a vast range of training courses, including AI and DevOps courses. Our artificial intelligence training can lead to certification and will include everything you need, including learning materials and tutor assistance. Some of our most popular AI courses include;
  • BCS Essentials In Artificial Intelligence: This beginner’s course is an excellent starting point for gaining AI certification. It covers the basics of artificial intelligence and machine learning technologies, and after completing the exam, students will be able to demonstrate that they have a basic knowledge in AI.
  • BCS Foundation In Artificial Intelligence: This foundation course is BCS accredited, which means it is recognised internationally. The course covers three days and is perfect for anyone interested in artificial intelligence or who needs to implement it in an organisation. It follows on from and builds on the information learnt in BCS Essentials In Artificial Intelligence.
  • Microsoft Azure AI Fundamentals: This course covers the fundamental concepts around artificial intelligence and Microsoft Azure. Learners will discover how the programme can be used to develop AI solutions. This training is not designed to teach students to become software developers but instead to build awareness of AI workloads and how Azure can support them.
For more information on our training courses, contact us today.

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