In today’s ever-evolving digital landscape, organizations face the challenge of meeting heightened customer expectations while adapting to the intricacies of modern digital ecosystems. As monolithic applications give way to agile microservices architectures, the need for faster time-to-market introduces a paradoxical demand for comprehensive synthetic testing. Microservices, the building blocks of this evolution, operate like interconnected gears, but their intricate interactions can lead to unforeseen disruptions.
Coined by Gartner, Artificial intelligence for IT operations (AIOps) refers to multi-layered technological systems that automate and improve IT operations through advanced analytics and machine learning (ML). AIOps uses Cognitive Operations, Algorithmic IT Operations, and IT Operations Analytics (ITOA) to proactively detect anomalies, identify patterns and deviations in real-time for root cause analysis, and provide valuable predictive insights to respond intelligently.
