This article is the second in a 4-part series on leveraging artificial intelligence for IT operations (AIOps) to provide a more efficient, reliable, agile, cost-effective, and optimized IT infrastructure. If Artificial Intelligence is the ultimate multi-tool for IT operations (as discussed in our first article), then DevOps, Network Ops, Site Reliability Engineers (SREs), and SecOps are the teams using it.

Dell’s recent acquisition of Moogsoft is the most recent validation of the growing market for automated ITOps – also known as AIOps. When legacy companies such as Dell recognize the importance of AIOps it proves the technologies behind automating ITOps are now mainstream and a vital part of every modern IT management stack. We look forward to seeing how Moogsoft’s integration into Dell will play out over the coming years.

Streamlined user experience, expanded monitoring capabilities, faster root cause analysis, and enhanced performance and security.

Datadog’s modern observability empowers development engineers with full-stack visibility, comprehensive instrumentation generation, and proactive alerts to accelerate software development releases and address potential incidents. While Datadog gives teams end-to-end visibility, it works even better together with AIOps from BigPanda – development teams gain insights into outside application dependencies and reliance on other systems.

This article kicks off a 4-part series on leveraging AIOps to provide a more efficient, cost- and resource-saving, reliable, and agile IT infrastructure.