We are well into 2022 and are busy bringing new exciting features to market. Our customers continue to provide input into our product roadmap and many new features are based on this collaborative effort. A big thank you to our valued customers. Throughout the year we will continue to drive innovation and allow our customers, of all sizes, to implement the most advanced AIOps solution in the shortest time possible.

All companies are going through some form of cloud adoption - whether cloud migration for the first time, hybrid cloud adoption, or extending cloud-native with newer microservice architecture. But, according to a recent survey by Aptum*, only 39% of companies are completely satisfied with their current rate of digital transformation. Cloud adoption projects create a continuous state of change for engineering teams juggling to keep things up and running while limiting the impact on customers.

BigPanda’s recent coronation as a Unicorn has prompted its leaders to look to the future of IT Operations and how it relates to artificial intelligence (AI) and machine lifiearning (ML). What is BigPanda’s role in improving IT Ops? How can AIOps contribute to greater achievement in global enterprises? These are questions a VP of Product Marketing like BigPanda’s Mohan Kompella, who has spent 15+ years in IT Operations, has been asking.

BigPanda offers a diverse set of APIs to enterprises looking to move faster and scale incident response workflows seamlessly. APIs are core to automating repeated incident response workflows that enable IT Ops to keep up with the pace of change and innovation agile teams need to thrive. In Q4 of 2021, BigPanda announced the general availability of new self-service APIs including an updated Incidents API.

Slowdowns caused by system disruption and complexities in your IT environment are more than an operational headache. They can have a direct impact on the bottom line. While it’s enormously important to make IT systems more efficient and give time back to the organization, it’s just as important to recognize the value of that time and understand the best ways to allocate it between workers, apps, and infrastructure.

Gone are the days when AIOps was merely used as a buzzword to draw attention to the growing popularity of AI in IT service management. Today, factors such as the never-ending COVID 19 pandemic and the great resignation have pushed AIOps to emerge as a vital instrument for enterprises looking for ways to optimize their digital operations.