Appnomic Enables Self-Healing By Making IT Operations Autonomous With Predictive And Preventive Intelligence

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Below is our recent interview with Pranav Jha, COO of Appnomic:

Q: Can you tell us something more about your software? How does it help businesses?

A: Our software uses patented ML techniques to spot anomalies which, if addressed in time could prevent issues that could impact end users of business applications. While traditional tools like APM, ITOM provide insights into issues after they have happened, our software is designed to provide foresight that can predict issues before they strike. Our focus is to simply reduce the number of times IT or OT teams get together in war rooms to troubleshoot. We want the world to shift the focus from faster troubleshooting to reducing the number of times teams need to troubleshoot.

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Q: How Appnomic enables self-healing?

A: Self-healing is a technique to keep applications in good health. As is the case with any system, like our body for instance, keeping good health requires planning to eliminate issues, preventing issues that seem imminent, and reacting fast when issues strike to mitigate them. Likewise, we enable three types of self-healing use cases. First type (Autonomous), where system generates triggers on it predicts an issue or it predicts a surge in workloads, and automated actions wired to the trigger can recondition the system to prevent the issue, or prepare it to handle the surge. The second type (Preventive) points out frequent hotspots, with a lot of contextual information, so that experts can take note and eliminate commonly occurring root causes. The third type (Projected) provides insights into resource bottlenecks that are likely in next 3 to 4 weeks. All these self-healing uses cases uses patented methods that use a mix of supervised and unsupervised machine learning.

Q: Why is now the time for a technology solution like Appnomic?

A: Recent advancements in IT infrastructure technologies (cloud, containers, microservices) have cut the time it takes to create or change business applications. But, the modular nature of application architectures, and increase in 24/7 consumer facing applications has made operations more complex. When things go wrong, troubleshooting remains harder than ever, and needs expert skills. At the same time, the AI/ML technology have also matured. Thus, we feel that it is time IT and OT teams get to use AI/ML to stay ahead, and focus on simply reducing the need to troubleshoot. Now is the time to shift the focus from insight to foresight.

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Q: What are some of the main objectives for Appnomic going into 2020 and how do you plan to achieve them?

A: We want to create awareness about the need to shift focus to foresight. We will use 2020 to make several large enterprises adopt the self-healing approach. We intend to do this by increasing our investments in AI/ML research to get even better at predictions, and by making our software even more user friendly to consume.

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