In short, if data isn't up to par, AIOps may flop, or worse yet, steer technology decisions in the wrong direction.Įnter an emerging methodology on the scene that specifically addresses this, known as robotic data automation, or RDA, as identified in a Forbes piece by Shailesh Manjrekar. While AIOps functions on data points such as system logs and metrics, historical performance, event data, streaming real-time operations events, incident-related data, and ticketing, much of this data may be incomplete or hidden away in silos. However, there's a problem: AIOps requires the right kind of data at the right time, but much of this data either isn't ready or needs a quality overhaul. Applying advanced automation to countless rote IT functions will free up IT departments to concentrate on the bigger and more meaningful things, such as digital transformation and promoting continuous integration and deployment of software. Ukrainian developers share stories from the war zoneĪIOps, or artificial intelligence for IT operations, may be just what the doctor ordered for beleaguered IT shops. Linux distros for beginners: You can do this! Got questions about crypto? Ask the Coachįor Mom: The best flower delivery services How ransomware attacks threaten our food supply
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