What is AIOps
AIOps is the application of artificial intelligence to IT operations. It has become essential for monitoring and managing modern IT environments that are hybrid, dynamic, distributed and componentized.
Through algorithmic analysis of IT data, AIOps helps IT Ops and DevOps teams work smarter and faster, so they can detect digital-service issues earlier and resolve them quickly, before business operations and customers are impacted.
With AIOps, Ops teams are able to tame the immense complexity and quantity of data generated by their modern IT environments, and thus prevent outages, maintain uptime and attain continuous service assurance.
With IT at the heart of digital transformation efforts, AIOps lets organizations operate at the speed that modern business requires.
An AI Platform for Today — and the Future
You can’t manage today’s dynamic, constantly changing IT environments with yesterday’s tools.
The evolution of IT infrastructures — moving from static and predictable physical systems to software-defined resources that change and reconfigure on the fly — demands equally dynamic technology and processes for their management.
The complexity of managing the operations of modern IT environments exists at three levels:
Systems
At the core is the complexity of systems that are modular, distributed and dynamic, and whose components are ephemeral.
Data
The second layer is the data these systems generate about their internal operations — logs, metrics, traces, event records and more. This data is complex because of its high volume, specificity, variety, redundancy.
Tools
The third outer layer is the complexity of the tools used to monitor and manage the data, and the systems. There are more and more tools, with increasingly narrow functionality, that don’t always interoperate, and thus create operational and data silos.
As IT infrastructures evolve, old rules-based systems fall short, because they rely on a pre-determined, static representation of a mostly homogeneous, self-contained IT environment.
AIOps uses machine learning and data science to give IT operations teams a real-time understanding of any issues — including new, unforeseen problems for which rules haven’t been crafted yet — that affect the availability and performance of digital services.
Recent Comments
No comments
Leave a Comment
We will be happy to hear what you think about this post