Operations | Monitoring | ITSM | DevOps | Cloud

Rockets constantly blast off into space headed towards planets, aiming to create shiny new stars, while meteors whizz by them, threatening their journeys. That’s how global DevOps expert Helen Beal describes the complicated and risky universe of DevOps practitioners and SRE teams. The rockets are these teams’ frequent code releases. Planets represent customers that benefit from the value — stars — created by these launches.

Everyday IT operators are trying to prevent outages of business-critical applications. When prevention is not possible, IT operators strive to reduce the mean time to repair (MTTR) as much as possible. Improving resolution time can be quite a challenge. But IT operators don't stand alone in this challenge. They can use smart solutions that support Automated Root Cause Analysis and Anomaly Detection.

Discover how DevOps and SREs can develop more and operate less by applying AI to events, metrics, traces and logs to keep CI/CD agile and your business growing.

This is the first in a three-post series themed around Ops-led DevOps, where I’ll explore the relationship between observability and a set of software delivery lifecycle practices that support the adoption of DevOps practices and the transition from project to product-centric ways of working. I’ll start with Site Reliability Engineering, move onto Value Stream Management and finish with Continuous Delivery.

Alert noise is reaching an all-time high in IT organizations. The volume of these alerts from disparate tools and technologies has reached a point where they are greatly undermining the ability of IT organizations to properly manage, secure and optimize services and applications for users and customers. DEJ’s recent study on AIOps found that organizations currently spend $1.27 million annually on avoidable incident escalations that result from non-contextual and non-actionable alerts.