Myths of Oversaturation of AI in DevOps: The market for DevOps technology is booming. One study estimates that it will grow nearly 200% between 2017 and 2023. A number of different types of technology are converging to make DevOps technology more robust. Artificial intelligence is at the core of most advances in DevOps.
Artificial intelligence is at the core of most advances in DevOps
Some critics have talked about the possible oversaturation of artificial intelligence tools on the market. I recently encountered some of these critics at a DevOps conference in San Diego not too long ago. They don’t intend to imply that artificial intelligence is unnecessary in the growing field of DevOps. I can learn more on DevOps here. However, they are at least arguing that there are a lot of redundant tools on the market.
These discussions appear to be largely structured solely for the sake of creating controversy. The truth is that the experts whining about the oversaturation of AI tools in DevOps are in the slim minority.
AI technology is actually becoming more important than ever. There are a number of essential tools that are based on increasingly complex artificial intelligence algorithms. These tools do not create nearly as much redundancy as people think.
Understanding the changing role of AI in the art of DevOps
One of the reasons that some supposed experts bicker about the unnecessary emphasis on new AI tools is that they have an unrealistic perspective of the existing capabilities of artificial intelligence. The truth is that modern computers are still extremely limited compared to what we hope to get out of them.
You can get an idea about this from studying the Turing Test. This test was developed nearly 70 years ago to help people figure out whether they were interacting with a human or a computer. Computers have gotten better at taking this test, but they still are not able to beat it yet.
It is going to be a long time before we can expect computers to come close to meeting the capabilities of humans. In the meantime, the best that DevOps developers can do is find more creative ways to utilize artificial intelligence.
A major online magazine on DevOps published a detailed article on several ways that artificial intelligence is changing the development field. Some of the biggest examples include the following:
- Continuous feedback utilization in various stages of the development process. Artificial intelligence technology has led to a number of different monitoring tools. These tools are capable of delivering feedback to central processors. They can continue to improve the applications in real time. They use a variety of different types of data, such as log files, performance metrics and a lot more.
- Improving communication is another very important element of DevOps. Artificial intelligence technology is able to constantly monitor various communication feedback loops and identify areas where it breaks down. Machine learning technology is able to build new workflows and expand the range of channels to facilitate discussions between conquered team members and customers interacting with the final project.
- Identifying correlations between different types of data is also essential. Machine learning technology is able to look at both internal data and data that overlaps with other tools. This information can be invaluable at establishing trends.
All of these functions are becoming more important in the DevOps process. Developers need to constantly look for new ways to improve every stage of the pipeline. None of these possibilities would be possible without all of these functions are becoming more important in the conquered process. Developers need to constantly look for new ways to improve every stage of the pipeline. None of these capabilities would be possible without increasingly adaptable forms of artificial intelligence.
Most experts are willing to acknowledge all of these benefits. Their criticism is that a number of tools on the market accomplish the same things. However, even this criticism falls short. The truth is that almost all of these tools have their own nuances and offer certain benefits that others do not.
Artificial intelligence is the backbone of DevOps
DevOps technology is changing remarkably. A lot of AI tools are responsible for these new capabilities.
Some experts have argued that AI technology has become overhyped. However, all existing literature on the topic says otherwise. It is becoming more obvious that new forms of artificial intelligence are necessary to and sure the evolution of DevOps.
