Operations | Monitoring | ITSM | DevOps | Cloud

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.

Alerts are indispensable to any IT operations system today. Site reliability engineers (SREs) or ITOps executives set up several monitoring tools for their IT landscape. When there is a change, high-risk action, or outage in any of these incidents, the monitoring tool triggers an automated alert. This could happen on the monitoring tool’s dashboard itself, via email, or enterprise collaboration tools like Slack or Teams.

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.

High performance automobiles are built to be driven on the open road, at high speeds, hugging each curve and accelerating on the straightaways—they’re not for trips to the grocery store.

This is the twelfth chapter in The Observability Odyssey, a book exploring the role that intelligent observability plays in the day-to-day life of smart teams. In this chapter, our SRE, Dinesh, brings together his colleagues with an interest in AI.