PagerDuty is an IT operations management platform and cloud computing company launched in 2009. They provide a suite of tools designed to help IT and DevOps teams detect and respond to infrastructure problems, streamline workflows, and improve operational reliability. The PagerDuty platform bridges different systems and the teams that maintain them, centralizing the detection and reporting of incidents. It allows organizations to minimize downtime and resolve issues efficiently.

When it comes to observability, we’ve found that most organizations have ~20 tools installed in their IT environments. With so many tools, it’s difficult for IT leaders to gain insight into how their tools are performing and determine how much value ITOps is bringing to the organization.

Tool consolidation is the process of analyzing which IT observability and monitoring tools to use, which to add, and which to retire. By carefully determining the usage and value of your current observability stack, your ITOps teams can consolidate redundant tools and those providing little value to reduce your operational costs. While the benefits of tool consolidation are clear, doing so is anything but.

Choosing, deploying, maintaining, and rationalizing observability and monitoring tools can be a constant challenge for ITOps, DevOps, and SRE teams. As teams monitor increasingly complex systems, the need for instrumentation that monitors those systems grows at the same rate, leading directly to a growing problem of observability data engineering, integration, and enrichment.

Many ITOps organizations we speak with want a state of self-healing systems capable of identifying and resolving issues without human intervention. Thanks to the progress in AI and ML, AIOps has made significant advancements in areas that automate many of the steps involved with identifying and triaging incidents. We ask ITOps leaders why they aren’t taking the next step with auto-remediating incident response workflows.

As an ITOps leader, you know managing enterprise IT can be challenging, with its mix of old and new, on-site and cloud-based systems. Closely monitoring each part of the system infrastructure and its many components is a constant struggle, forcing you and your team to juggle non-stop alerts and keep services up and running. How can you stop alert fatigue and gain clarity when alerts are incessant, unclear, and lack the necessary context? The answer lies in intelligent alerts.

Tool rationalization, sometimes called tool consolidation, is the systematic analysis of observability and monitoring tools, the consideration of onboarding new tools to fill gaps, and the retirement of unnecessary tools. Perhaps you and your IT team are struggling with constantly buying new tools to meet a very niche use case to unlock new capabilities.

Is your company using ServiceNow IT Operations Management or considering using it? If so, you know the importance of enhancing the visibility of your IT infrastructure and services, protecting against service disruptions, and enhancing your company’s operational flexibility. In this blog, we’ll discuss how ServiceNow ITOM works, improves visibility across the entire IT infrastructure, and streamlines operations. We’ll also discuss how ServiceNow ITOM is better together with AIOps.

If you’re juggling complex, cloud-based, containerized systems and aiming to meet high customer expectations, your old monitoring processes probably don’t cut it anymore. Increasing infrastructure complexity means you need to instrument more, log more, and monitor more. That leads to even more complexity. The answer is better observability, right? Yes and no. Observability and monitoring are critical, but they are only part of what you need for service awareness and availability.

Navigating the complex world of ServiceNow’s Configuration Management Database (CMDB) can feel overwhelming. You might find yourself grappling with understanding the foundational aspects of the CMDB, or maybe you’re seeking effective ways to utilize and integrate it seamlessly into your IT processes. You want to extract the maximum value from your ServiceNow CMDB but need help figuring out how to start.