AIOPS combines big data and machine learning to automate key IT operations processes including anomaly detection and identification, event correlation, and root cause analysis. While these actions set the stage for adopting AIOps, they are insufficient in isolation. In fact, a modern AIOPS solution also serves the entire software development lifecycle to address the volume, velocity, and complexity of multi-cloud environments.
AIOPS combines big data and machine learning to automate key IT operations processes including anomaly detection and identification, event correlation, and root cause analysis. While these actions set the stage for adopting AIOps, they are insufficient in isolation. In fact, a modern AIOPS solution also serves the entire software development lifecycle to address the volume, velocity, and complexity of multi-cloud environments.
AIOps aims to provide actionable insights to IT teams that help inform DevOps, CloudOps, SecOps, and other operational efforts. To achieve these AIOps benefits, a comprehensive AIOps tool consists of four key steps of data processing:
- Collection
- Aggregation
- Analysis
- Execution
Many companies combine second-generation application performance management (APM) solutions to collect and aggregate data with machine-learning-based AIOps tools that combine analysis and execution. But this approach introduces complexity and a potential loss of context. A modern, holistic AIOps platform incorporates all four phases to provide an end-to-end operational approach.
Advantage of AIOps
While this is by no means a comprehensive list of all the benefits that AIOPS tools can provide, here are six ways they can help IT operations teams and organizations as a whole.
1. Reduce downtime
Application and system downtime can be costly in terms of lost revenue, lower productivity, and damage to your organization’s reputation. AIOps helps DevSecOps and SRE teams to detect and react to emerging problems before they turn into costly and damaging failures.
2. Improve operational confidence
AIOPS can take the guesswork out of many IT operations processes and tasks by helping to pinpoint potential issues, evaluating their impact on your environment, and providing step-by-step remedial guidance.
3. Continually manage vulnerability risks
As environments grow in size and complexity, the number of chances to manage increases. Manual methods are unable to keep up with the rate of change, but AIOps tools help you identify, analyze, prioritize, and address vulnerability risks.
4. Optimize skills and resources
By providing root-cause analysis and remedial guidance, AI operations can help your team solve problems more efficiently while deepening their understanding and skills.
5. Focus on innovation
By eliminating the tedious day-to-day work required to “keep the lights on”, AIOps gives teams the freedom to develop and deliver more strategic and high-value projects and innovations.
6. Control complexity
AIOps can help teams understand interoperability between systems, streamline system patch and configuration management, simplify operations, and improve reliability.
