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Fast track video series: Extracting alert data from emails

With BigPanda’s self-service Email Parser, extracting alert data from emails has never been more simple. In our latest video in the Fast track series, we explore the benefits of this tool. This parser is ideal for monitoring tools and systems that do not support REST API and or rely solely on email to generate and send alerts. So no matter what tools your organization utilizes, this feature can help you turn all of those alert emails into actionable incidents within BigPanda’s platform.

A deep-dive into event correlation

Event correlation is a powerful capability that can help reduce IT noise, detect incidents in real-time, and improve the performance of critical applications and services. Read on for a deep dive into event correlation as we explore everything from its origins to its current state-of-the-art techniques. We’ll also discuss how event correlation fits into the bigger picture of integrated service management.

Webinar: AIOps in healthcare

Healthcare around the world is constantly evolving. The amount of data being generated daily from every appointment and interaction, no matter how small or large, needs to be processed and analyzed in order to improve patient outcomes. The data must be accurate, stored, accessible and secure. Without a core infrastructure of smart IT, any outcomes are extremely challenging to generate, and data must be available in seconds for doctors to make life-saving decisions. The bottom line?

Event types and use cases for event correlation

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.

Webinar: Making the case for AIOps

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's new self-service tools are primed to make integration onboarding even faster

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.

RESOLVE '22: Customer experience in action

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.

RESOLVE '22: Observability and AIOps sitting in a tree

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.

Fast track video series: Integrate ticketing and messaging tools with BigPanda

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.