The latest News and Information on AIOps, alerting in complex systems and related technologies.
AIOps adoption is on the rise. According to Gartner, by 2023 40 percent of DevOps teams will augment application and infrastructure monitoring tools with AIOps platform capabilities. Use cases are also expanding beyond IT to include IT Service Management (ITSM), digital experience monitoring (DEM), DevOps, Application Performance Monitoring (APM) and third party services.
Legacy monitoring tools fall short for SRE teams and DevOps pros tasked with maintaining uptime of key applications in modern, cloud-based IT systems. To have visibility and control over these environments, these teams must collect and analyze more granular, underlying system information — observability data. This article explains why the only way for SRE teams and DevOps pros to extract the necessary insights from this data is through the application of AI capabilities.
ICYMI: We recently announced that Cherwell selected Resolve as their top partner for discovery and dependency mapping. The Resolve platform seamlessly integrates with Cherwell products to provide customers deep visibility into complex infrastructure and business-critical applications, as well as to ensure their CMDBs are always up-to-date and accurate.
Another PagerDuty Summit is in the books, and we’re still coming down from the excitement and energy our customers and community showed us over the past week. We made several big announcements over the course of the conference, but none more significant than the AIOps advancements on our digital operations platform. We introduced a number of ways customers can apply machine learning algorithms and automation to a wide range of workflows across the platform.
As many recent studies show (like this one from Mckinsey) , self-service in B2B products is a growing trend. Today’s enterprise users expect the same seamless and simple experience they’ve learned to love as consumers. This works well for many simple tasks. But when it comes to more complex actions that require working with ‘under the hood’ technical features, things haven’t changed much since the early days of enterprise technology.
