IT operations, or ITOps, refers to the processes and services administered by an organization's IT staff to its internal or external clients.
Every organization that uses computers has a way of meeting the IT needs of their employees or clients, whether or not they call it ITOps. In a typical enterprise environment, however, ITOps is a distinct group within the IT department.
The IT operations team plays a critical role in accomplishing business goals. Among other things, they help to maintain a stable and reliable IT ecosystem and ensures that IT empowers the organization’s employees and management to achieve the business’s desired outcomes.
As businesses increasingly migrate from the data center to the cloud, how that role is carried out is changing. In this article, we’ll define what ITOps teams do, how they differ from other teams like DevOps, and how IT operations are evolving.
Splunk IT Service Intelligence (ITSI) is an AIOps, analytics and IT management solution that helps teams predict incidents before they impact customers.
Using AI and machine learning, ITSI correlates data collected from monitoring sources and delivers a single live view of relevant IT and business services, reducing alert noise and proactively preventing outages.
IT operations provides high-level technological guidance and performs routine daily tasks to maintain the organization’s IT infrastructure. IT operations is important because it has end-to-end responsibility for the services provided by the IT organization, systems and infrastructure that support an organization’s business processes. It is tasked with maintaining the operational stability of the organization while at the same time supporting new initiatives to push business to the next level.
ITOps may be tailored to suit each organization’s needs and resources, rendering a uniform “to-do list” of tasks impractical. As a function, however, ITOps can be broken down into three key areas of responsibility. Which and how many of these tasks any individual team is responsible for will vary from one organization to another. Those tasks may include:
Just like anything else in the tech world, ITOps isn’t monolithic or static in any sense of the word. As technology evolves, new operations approaches arise — combining traditional ITOps with other teams, tools and systems.
To start, let’s clarify where ITOps fits in.
ITOps’ broad and sometimes nebulous description can make it seem that it covers anything IT-related. It’s true that ITOps activities can vary considerably from organization to organization, but in all cases, they fall under the responsibility of delivering and maintaining the technology needed to run a business.
In practice, that can include tasks such as maintaining networks, managing data centers, ensuring security and regulatory compliance, managing the help desk, licensing and managing software and other tasks that empower workers and support daily business operations.
Notably, IT operations does not include program and application development and related tasks.
DevOps is an approach to IT service delivery that combines people, practices, and tools to break down silos between development and operations teams. But DevOps also refers to a distinct IT role responsible for developing, implementing and maintaining custom applications for internal or external use.
As its name indicates, DevOps brings together the roles of development and IT operations. At its core, DevOps stems from the idea that teams should own their production support. Following a set of DevOps practices, DevOps teams accelerate the development of applications and services with a more responsive approach to the management of the IT infrastructure, so they can deploy and update IT products at the speed of the modern marketplace.
DevOps revolves around two key ideas: innovating and optimizing apps while shortening the software development life cycle and speeding up time to market.
Constant iteration and evolving technology has left a mark on both DevOps and ITOps — and perhaps nothing has been as influential as artificial intelligence. AIOps is the practice of applying AI analytics and machine learning to automate and improve IT operations.
AIOps platforms are designed for today’s networks with an ability to capture large data sets across the environment while maintaining data quality for comprehensive analysis. They can also suggest solutions, automate responses and alter algorithms to improve how they handle future issues.
In practice, AIOps is a three-step process — observe, engage, act — performed in a continuous cycle:
(There are other kinds of “Ops” trends, too, dig into NoOps or CloudOps for more.)
In a rapidly evolving tech landscape, IT operations (ITOps) play a pivotal role in maintaining stable IT ecosystems, enabling business success. As technology advances, ITOps merges with DevOps and embraces AIOps, leveraging AI and automation to enhance efficiency. This evolution underscores the dynamic nature of ITOps, vital for businesses to adapt and thrive.
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This posting does not necessarily represent Splunk's position, strategies or opinion.
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