Leveraging AIOps for SRE

  • Faster incident resolution: SREs must appropriately respond to challenges and manage incidents. SRE teams are responsible for complex and dynamic applications across different cloud environments. They focus on techniques that help avoid past incidents while mitigating risks at the end-user level. Vast amounts of data bring in multiple challenges, and Intelligent IT operations help them automate incident management, saving a lot of manual effort and time. AI can add intelligence to your automation and provide faster incident resolutions, and in some cases, can help predict the incidences before they happen.
  • Minimizing the noise: Noise minimization means bringing down incidents and time to respond to incidents. Monitoring techniques of the past are not efficient enough to track the ever-increasing number of app processes, users, and incidents. To improve user experience and engagement, organizations need to improve reliability. With AI and ML, you can detect and set a priority on incidents with predefined actions to be taken. With AIOps and automated course correction actions, the core teams will have more time to focus on more significant issues… Read more

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Opcito Technologies

Opcito Technologies

170 Followers

Product engineering experts specializing in DevOps, Containers, Cloud, Automation, Blockchain, Test Engineering, & Open Source Tech