Event correlation and AIOps go hand-in-hand. Event correlation is the process of identifying patterns in data that may indicate a problem or opportunity.

As organizations grow and become more complex, so does the need to monitor and troubleshoot issues across the entire IT infrastructure. Event correlation is a powerful technique that can help make sense of the huge volume of alert data generated by monitoring systems and identify problems as they occur. In this blog, we’ll look at event types, use cases for event correlation and approaches that organizations can use to get the most out of this valuable tool.

Over the past few years, artificial intelligence for IT Operations (AIOps) has risen in popularity within the technology landscape. It’s become a buzzword in the marketing world, and while there are many ways to define AIOps, the best way to start thinking about it is through the lens of outcomes, correlation and strategy—it’s all about the data.

BigPanda supports inbound integrations for alert ingestion out of the box; however, many IT organizations have older, rarer or custom-built tools that require a little more work upfront. Fortunately, BigPanda’s recently announced Open Integration Manager and Email Parser aim to streamline integrating these kinds of monitoring tools with the BigPanda platform.

Companies go to extreme lengths to provide their customers the best possible experience—and every company’s concept of what makes a good experience is different. In our RESOLVE ’22 panel Customer experience in action we sat down with Translation.com Director of Strategic Initiatives Sridevi Matukumalli and Akamai Senior Director Harish Menon to talk about this notion.

In our first session from RESOLVE ‘22, we were honored to have Darren Boyd and Satbir Sran from the Incubator podcast and ink8r think tank talk observability and AIOps with BigPanda’s Aaron Johnson. Both panelists are part of communities adopting open standards, and they regularly consult with organizations about how they can improve IT Operations and overall performance.

With distributed IT Operations becoming the norm, most enterprise teams struggle with communication and collaboration within and across the organization. Without the proper tools, staying on top of incidents can be challenging, quickly resulting in outages taking longer to resolve. The overall effect: increase in downtime-related costs and decrease in performance and availability of services making mean time to resolve (MTTR) worse.

Integrating all of your monitoring alert sources is quite a task. Large enterprises often struggle to aggregate millions of data records from dozens of monitoring, change, and topology tools in real-time. Filtering out the noise and prioritizing the most important alerts are crucial to a team’s success. BigPanda makes it simple to integrate with any monitoring alert sources with Open Integration Hub. Currently, we have more than 50 easy-to-use integrations to choose from.

Companies can take big strides toward “preventing preventable” incidents by minding what they measure. What’s in a name? In Measuring what matters, one of the panels at our RESOLVE ‘22 event, the three words in the title reflect a plan successful IT Ops teams have embraced to reduce the complexity of their reporting systems—resulting in a faster path for companies to make more effective use of all the IT resources at their disposal.

The pandemic accelerated digital transformation in the business world by forcing companies to double down on areas in which they’d already begun investing. The mass move to video conferencing solutions in industries such as healthcare and education are two examples. In other industries, companies were only able to survive by jumping into completely new areas: brick-and-mortar retailers diving feet-first into e-commerce after lockdowns and health concerns kept shoppers indoors, for example.