Operations | Monitoring | ITSM | DevOps | Cloud

The most effective way to understand an incident, resolve it and prevent it from occurring again is root-cause analysis. Simply put, root-cause analysis is the study performed by ITOps teams or site reliability engineers (SREs) to pinpoint the exact element/error that caused the unexpected behavior. Based on this, they plan remediation. Accurate and timely root-cause analysis can have a direct impact on the company’s top and bottom line.

GigaOm’s latest Radar for AIOps solutions has just been released and it makes for compelling reading for anyone trying to maximize organizational performance in our digital world. Particularly if you’re down with DevOps.

Mission creep is a phenomenon that occurs after a project begins and gains momentum, but then gradually grows beyond the original, intended scope. One day you wake up and realize that, instead of an efficient, manageable project, you’ve got a monster on your hands. For enterprises in the midst of dynamic growth, IT infrastructure is often beset by mission creep. The incumbent organization acquires smaller operations, integrates their technology, and soon things are out of control.

Alerts are notifications from AIOps monitoring tools that indicate that there is an anomaly. IT teams get these alerts on their monitoring dashboard via emails or enterprise collaboration tools such as Slack or Teams. Service level agreements expect IT teams to analyze every alert within a specific timeframe and take appropriate action.

This has been quite the summer to remember as we continue to witness our customers achieve remarkable efficiencies through automation such as deep integrations with change pipelines to suppress alerts during maintenance windows and correlating alerts to create incidents with dynamic and evolving descriptions that dramatically improve Incident management processes.

People’s involvement has been inevitable with log management despite advancements in ITOps. Log management at a high level collects and indexes all your application and system log files so that you can search through them quickly. It also lets you define rules based on log patterns so that you can get alerts when an anomaly occurs. Log management analytics solution leveraging RDA has been able to detect anomalies and aid predictive models over a machine learning layer.

On this day in 1955, the first edition of the “Guinness Book of Records” was published in London.

Historically, enterprise IT organizations have turned to application performance management (APM) systems to monitor and manage critical applications. However, throughout the world, enterprise organizations are suffering massive and systemic failures at an increasing rate. One of the main reasons these failures are increasing is that organizations aggressively seek to execute digital transformation initiatives.