Using Reinforced learning Neural Networks (RNN) to drive up performance and reduce cost in cloud-based applications.
RNN is a modern branch of machine learning that offers enormous promise in the field of AIOps, particularly for performance optimization. In the past, RNN have been used to show how a machine can learn how to play a game of pong, or similar task, but at Opsani we use it to tune cloud based services. We have seen improvements of 2x-3x using this method.
What you will learn:
-The different branches of ML within AI. How a neural network learns using reinforcement.
-How Opsani uses RNN to improve application performance while cutting costs, for a critical cloud applications.
-How to extend the CI/CD process to seamlessly incorporate CO -- Continuous Optimization.
Based on her experience at companies like VMware and Facebook, Jocelyn knew that applying AI to infrastructure was an area of great opportunity. With Opsani, she found a perfect application of AI to a hard and important problem, with unique technology created by an incredible team.
Effective optimization isn’t a one-shot process, it needs to be continuous. Code changes. Middleware changes. Infrastructure changes. Opsani’s AI continuously optimizes your cloud applications even as everything changes, to increase efficiency, boost performance, and lower costs.
In this episode of Stay Tuned With Opsani, we speak with Pete Abrams of Instana shares his thoughts on exactly what’s necessary to keep up with the fast pace of change developers are facing today. He also speaks about how DockerCon has evolved from a highly technical and somewhat niche event to a mature meeting of major enterprise businesses that are really looking into the road map of their software development process.
In this episode of Stay Tuned With Opsani, we speak with Evgeny Shvarov of Intersystems about just how radical Docker actually has been for companies. We discuss how it’s not an exaggeration for Intersystems to say the technology has changed the life of the whole industry.
In this episode of Stay Tuned With Opsani, we speak with Ryan DaRin of Pegasystems about some of the ways he envisions Opsani’s AI-based automated optimization as an asset both to Pegasystems’ developers as well as their own users’ experience.
Watch Opsani AIOps Iterating to find the best performance, the lowest cost, and the most efficient combination to automatically find the ideal solution without any involvement from your DevOps team.
The Opsani neural network learns the characteristics of your application and individual resource settings interact. This allows Opsani to optimize your application maximum efficiency gains. Opsani AI modifies resources, middleware configuration, kernel parameters, application specific parameters, and container settings to drastically increase the performance to cost ratio."
AIOps for Continuous Optimization of Cloud Applications
Opsani AI is paving the way for Continuous Optimization as part of the CI/CD toolchain. Go on the AIOps journey with us as we cover topics on Continuous Optimization, Cloud Performance, Cloud Costs, CI/CD/CO, Performance Tuning, and all things AIOps. In our webinars, we aim to help DevOps Teams, Performance Engineers, Operations Teams and CIOs explore the possibilities of what AI can do for their cloud performance and ultimately the bottom line. Our team of Continuous Optimization experts bring you informational and forward-thinking webinars monthly. Our goal is to help businesses reduce cloud costs and increase cloud efficiency.
We invite you to tune in for our monthly webinars. If you are interested in learning more about Opsani, please feel free to reach out to us directly at email@example.com or visit https://opsani.com/