How AIOps Helps An SRE With Their Daily Work
Site reliability engineering is an inseparable part of the IT industry. The responsibility of an SRE includes code management, deployment, configuration, monitoring, remediation, and giving support to other teams. The efforts of SRE teams bring an effective result to the organization.
SRE is not an easy job. Members need to put in lots of effort and time to fulfill their responsibilities. Manually completing all the tasks are also risky, tiresome, and error-prone. New technology was created in order to fix these problems. The technology is called AIOps. AI Ops – what does it mean? How does it help SRE with their daily work? SRE and AIOps are discussed in this blog.
AIOps
AIOps is the combination of Artificial intelligence and IT operations. From monitoring to resolving issues, AIOps helps ITOps, DevOps, and SRE in every stage. It reduces the complexity in data generation, prevents outages, and maintains uptime to achieve continuous delivery. Speed is the focus of modern businesses. AIOps helps an organization to achieve immense speed throughout the development cycle.
AIOps and SRE – How are they Working Together?
Analyze Datasets
AIOps uses Topology Analytics to consume and correlate datasets. Generally, it is hard to find root causes. AIOps automatically identify the root issues and effectively remediate them. Manual identifying and fixing are inefficient compared with this process.
Visibility of Delivery Chain
Visibility of the delivery chain shows teams what they are doing and what they need to do. AIOps visualize two parts of the organization. The first one is user experience. Using automation and predictive insights of AIOps, SRE can improve the end-user experience. The second one is network and application performance. Eliminating manual tasks, increasing collaboration, and automation improve network and application performance.
Classify and Reduce Noises
SRE focuses on enhancing users’ engagement with the application. The traditional monitoring process is time-consuming and often full of false alerts. AIOps uses machine learning to identify and divide alarms on priority. In some cases, AIOps auto solves issues. Thus SRE teams can focus on solving only critical issues.
Automation in Every Possible Area
The most valuable part of AIOps is automation. Automation allows SRE to deliver continuous and comprehensive service. It reduces steps in workflows to reduce the lifecycle. As a result, the SRE team saves time and uses it to perform their core job.
AIOps boost service levels, enhance teams’ efficiency, scalability, and agility. Continuous improvement builds confidence in SRE members. Adopting SRE and AIOps together allows organizations to achieve their goals smoothly.
