Under the hood, Moogsoft Observability Cloud extends AI-based intelligence so that it starts with raw observability data analysis. It discovers your infrastructure services to collect and analyze the time-series metrics locally, along with turning time-series metrics and event data from your existing tools into actionable insights.
It’s not everyday we are given a chance to get a first-hand look at how one of today’s leading and most advanced enterprises operates its IT stack. That’s why we were very excited when three senior IT executives from Expedia accepted our invitation to participate in a webinar discussing the company’s IT modernization journey.
Digitalization of business has transformed the world and its industries. Software that upkeep digital initiatives are no longer categorized as a support function. Rather, they are integral to every business process. Modern organizations require infrastructure monitoring tools to detect anomalies and alerting systems to automate remediation processes.
Imagine the following scenario: A large retailer experiences a major IT incident that impacts their point-of-sale systems. Their on-call engineers are alerted to the issue and begin their work to resolve it immediately. Behind the scenes, teams are collaborating on a fix, but in the storefront, frustration and tension are growing. Customers are complaining about not being able to check out, and in-store personnel have no good answers as to why the outage happened—or when it will be resolved.
The huge shift to remote work this year has presented many new challenges for IT teams—not least of which is the issue of securing the organization when large numbers of employees are now working at home. At PagerDuty, around a fifth of our employees were already based remotely, but the impact of COVID-19 meant that hundreds of other Dutonians had an almost-overnight switch to working away from the office.
Our reliance on digital services continues to be heightened by the ongoing COVID-19 pandemic. For work, school, and play, digital remains the primary channel. This puts huge pressure on ITOps and DevOps teams, making it critical that they can collaborate easily to resolve incidents rapidly. Many modern ITOps and DevOps teams rely on one of PagerDuty’s key integration partners, Slack, to meet this need.