Taos Glossary

An explanation of industry terms that is a quick read, and knowledge base.


What is NoOps?

“No Operations” (NoOps) is a relatively new concept in data management and network oversight. It is the idea that an IT environment can be so automated and removed from the underlying infrastructure that there’s zero need for a team to handle software in-house. In other words, it aims to completely automate the deploying, monitoring, and improving software operations.

How does NoOps work?

NoOps depends on the underlying infrastructure for applications and services, enabling developers to focus on developing the software. This lets the operations elements all be automated and relieves the Ops team of those management logistics. NoOps brings together multiple technologies and reworks IT processes, so automation, machine learning, and artificial intelligence handle both mundane and high-level tasks that were once solely human-operated. NoOps relies on automated, policy-based workflows triggered by events that help optimize applications and services to run efficiently, securely, and cost-effectively.

How is NoOps important?

Some experts still consider NoOps not to be realized at this point and are unsure if it is a practical pursuit. Can entirely eliminating manual operations for lifecycle management be realistic? Those who believe it’s practical intend to decrease the Ops expertise required and let developers focus solely on improving code while optimizing the automation of product, infrastructure, management, security, and operations across all platforms.

Benefits of NoOps

NoOps can help maximum development time, with just a handful of developers needed to manage a project life cycle. A NoOps implementation primarily applies to cloud-based infrastructure, so the dev team doesn’t need to be concerned about resource distribution.

Plus, there is less human error without any need for manual intervention. NoOps automation levels mean there’s little to no human involvement throughout operations, so the risk of error is dramatically reduced—if not eliminated altogether.

Being budget-friendly, NoOps can also help increase both productivity and revenue. Developers and operations teams can focus on growth priorities and be more productive thanks to the time and cost savings.

Common use cases for NoOps

NoOps, while still theoretical in some areas, will likely be a core element for Product-as-a-Service companies and smaller startups, helping them get to market quicker and earn more revenue faster. It can also provide a way to emulate the Agile methodology of fast releases, empowering agility by quickly deploying the product for testing.

NoOps will also be involved in more intelligent Ops, with AI and ML platforms managing software more accurately. It will be an increasingly-popular choice for companies that want to scale and optimize development.

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