![]() ![]() As operations teams get a granular idea of what's happening, they can ask increasingly complex questions that deploy specific, higher-level analytics. A system for supporting TechOps can make it easier to gain that vantage point to visualize the environment better. While end-to-end automation may seem desirable, it's neither feasible nor optimal for TechOps. Humans With Machines Make The Most Formidable OpponentĮven with a more visible and predictable environment, chess has demonstrated that humans and machines work better together. ![]() In TechOps, automated alerts that happen frequently can be resolved through automation - but only after the situation is understood. In both chess and TechOps, the level of automation depends on the understanding of a situation. The machine might identify the IP addresses associated with a specific partner, requiring a human to contact the partner to request they throttle their traffic. For example, a TechOps decision support system can provide more granular information when alerting the person on-call about a high load from particular IP addresses. ![]() Next, the computer helps evaluate detailed analytics to support a problem-solving path. With options on the table, a TechOps system may also recommend which is best given the context, like suggesting the most common runbook used during an alert. Teams need to gain an understanding of the environment using different searches and filters that identify unusual or anomalous activity.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |