Using AI to Automate Incident Management Sparks Debate - DevOps.com

When it comes to incident response with an integrated DevOps environment so much depends on the ability of an IT team to respond quickly and consistently to a specific set of events. Because of that requirement, many IT organizations have invested in incident management systems that everyone in IT can consult whenever an issue arises. Now PagerDuty, a provider of incident management software, is taking that concept a step further by applying artificial intelligence (AI) to automate as many incident response tasks as an organization deems appropriate. As promising as that may sound, however, Resilient Systems, a unit of IBM that is an arch-rival to PagerDuty, contends most organizations today do not have anywhere near the level of incident management maturity to make investing in AI worth their time and effort yet. Eric Sigler, head of DevOps for PagerDuty, says the the latest edition of the company's namesake incident management platform is designed to augment the capabilities of the local IT administrator by providing: Alert Grouping: Rules-based automation and machine learning algorithms automatically group related issues together to make it simpler to identify related issues.