When you’re investing in automation solutions, ultimately, tangible results need to follow quickly. Getting a return on investment (ROI) out of an automation project after two years is something that would have been OK in the not-so-distant past but is no longer acceptable nowadays. With the current speed of change, where new technologies come and go and existing ones evolve at lightning speed, IT teams require much faster time to value on automation investments.

In the last half-decade, AIOps and observability have arguably been the hottest two topics in IT operations management. Gartner first mentioned AIOps—Artificial Intelligence for IT Operations—in 2016, defining it as using big data and machine learning to automate IT operations processes, such as event correlation, anomaly detection and causality determination.

Artificial intelligence (AI) and associated technologies, such as machine learning and natural language processing (NLP), are used for daily IT operations tasks and activities. AIOps supports IT Ops, DevOps, and SRE teams working smarter and faster to identify digital-service issues earlier and address them quickly, preventing disruptions to business operations and customers. This is accomplished through algorithmic analysis of IT data and Observability telemetry.

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.

In July, the research firm Research In Action (RIA), published the 2022 edition of their annual Vendor Selection Matrix™. Despite AIOps being a well established technology (Moogsoft has customers who have been reaping the benefits of AIOps for many years) selecting a vendor can still be quite difficult, given the plethora of vendors who quickly re-branded their solutions as AIOps. So a vendor selection guide is a valuable resource.