Displaying items by tag: StormForge

Welcome to the VMblog 2022 Mega Series where we'll be covering a number of important topics throughout the coming months.  In this series, you'll be hearing from the industry leaders and experts in order to help you make important decisions within your own organization.  Follow along for a chance to better understand a number of topics and find out more about some of the best technologies available out there in the industry.  

In today's Q&A, we're speaking with industry expert, Patrick Bergstrom, CTO at StormForge.  And we're diving into the topics of Kubernetes and DevOps.

Who is StormForge?

At its core, StormForge is a team of world-class data scientists, machine learning experts and seasoned DevOps engineers. This unique combination has resulted in innovative products that drive significant  operational improvements for cloud-native environments, through better application performance and more effective resource utilization at scale. 

What value do we provide? 

Our team has direct experience with the complexity of enterprise Kubernetes apps and their impact on manageability, operating costs and emissions. Much of the complexity has to do with the inability to understand Kubernetes infrastructure resource behavior and the actions required to optimize these resources. 

Most organizations can’t address the problem because it’s very hard to solve - due to the number of container variables that need to be tuned simultaneously. Instead they overprovision CPU, memory and other resources as a way to avoid performance or scalability issues - which can get very costly when you’re provisioning hundreds or thousands of containers. 

StormForge uses machine learning to drive automation and facilitate intelligent action to solve complex operational problems, optimize infrastructure usage and maximize energy efficiency. We’re able to take valuable data that’s already being gathered from observability platforms and transform it into intelligent action that helps organizations optimize resources and make smart trade offs between performance and cost - at any scale. 

What sets us apart? 

• StormForge can optimize pre-production and production Kubernetes environments with a single platform. We offer an experimentation-based approach to optimization in development and an observation-based approach in production. Both approaches leverage AI and ML, but they are designed to help people, not replace them.
• StormForge uses a sophisticated patent-pending Machine Learning engine that goes well beyond the basic statistical modeling used by other solutions. Our insights, recommendations, and actions are precise, and the results can be measured and graphically displayed versus actual resource usage.
• Observability platforms help you understand what issues you’ve got and where they’re located. We take the next important step toward resolution with actionable intelligence, and the ability to automate the remedy that comes from observing and analyzing data. It’s the perfect partnership – marrying observability with ML-driven optimization. This is a big technology differentiator and a game-changer for our customers. 

 What does our ecosystem look like? 

 StormForge’s open integration approach is designed to fit into your cloud-native ecosystem. Our open platform works with any Kubernetes cloud service, any Kubernetes management platform, any CI/CD tool, any monitoring / observability solution and any codebase.

Ready for an optimized StormForge experience? 

See how StormForge can optimize YOUR environment. Register for a FREE test drive and FREE consultation with one of our Kubernetes optimization experts.

StormForge Assets

Video: How StormForge Works 

Blog: Using Machine Learning to Automate Kubernetes Optimization

Ebook: Closing the Day 2 Kubernetes Operations Gap

StormForge Website

StormForge.io