That is why tooling is needed to predict outages, performance leaks, and how functionality changes impact the running landscape. The only way to achieve this level of insight and predictability is to use AI-driven tools. Using AI in operations will be the way forward to make sure outages are close to none and, should one occur, mean time to repair is as short as possible. In the unlikely event a performance issue occurs, AI can quickly determine the weakest link and how it needs to be strengthened.

The third reason is that IT is everywhere, becoming ever more entangled in our lives, homes, work, and products. For businesses, IT will run more and more in functional ecosystems instead of in the company by itself. This means the complexity of IT will increase exponentially. With that in mind, it will become impossible for IT Operators to oversee the entire dynamic application and data landscape without intelligent tooling. AI tools are necessary to oversee, control, and automate these chains of command.

The last reason NoOps is becoming a necessity, is the increasing amount of functional changes that need to be performed. Lifespans of new products have steeply shortened, and everybody expects functional changes are promoted quickly during that lifespan. This means development and implementation of updates need to speed up. To do that, smart automation tools together with a DevOps way of working are required to organize and manage these updates in an efficient way.

The right mindset

To grow towards a NoOps organization, you need to have the right people with the right mindset. The people involved should be a mix of operations engineers, data scientists, and software engineers. Additionally, there are six key-elements everybody in the team needs to adopt in their mindset.

1. Being in IT together: as a team, coming from different backgrounds, everyone takes responsibility for the business outcomes. This means informing each other, taking ownership, and giving honest feedback to each other to stay sharp.

2. Eliminate toil: toil is repetitive operational work which should be automated as much as possible.

3. Embrace risk: it is impossible to completely eliminate every risk. So, if you want to change something in IT, you must embrace that risk and be aware of what the impact of applying that change could be.

4. Unexpected things happen: prepare for them. Even with a detailed plan in place, events can occur that will deviate you from the desired outcome. Make sure you have the proper runbooks in place so you can remediate such a situation as soon as possible.

5. Automate, automate, automate: automation not only helps to eliminate toil, but also to ensure /standards are consistently met, and processes are executed faster.

6. Keep IT simple: the most difficult one to meet. As Albert Einstein said: “Genius is making complex ideas simple, not making simple ideas complex”. That is what we must strive for. By making sure code is setup modular and simple to adjust, but also in the presentation of what the team is doing for its customers.

The best way to start the transition to NoOps? Think big, start small, and iterate fast. For us at Itility, the NoOps mindset is already embedded in the way we work. The Itility IT Factory provides customers with a platform that is automated, orchestrated and hands-off, using AI to continuously improve.