Put Datadog Observability Insights into Intelligent Action

Cloud-native Kubernetes applications have become core to business transformation and an organization’s ability to accelerate and improve service delivery and business agility.  At the same time, cloud native applications, containers, and Kubernetes have also introduced complexity that often hinders scalability and performance. This complexity has led developers to frequently  over-provision resources beyond what is actually needed to deliver reliable, stable performance for a positive user experience – which drives up costs and diminishes the savings that cloud can offer. The increased complexity of managing virtual machines, containers and applications requires new technologies to ensure smooth operation, automation and performance that scales. This has led to  a proliferation of tools that help identify and alert IT of issues affecting application performance. 

The  increased use of observability tools has resulted in an exponential growth in data collection and insight, however  it’s not always clear what actions to take based on that data. Dashboards and greater visibility into the health of cloud native apps and Kubernetes environments have improved insights, but to truly get the most out of applications and investments, teams need to turn observability and insights into intelligent action. 

By combining Datadog’s leading monitoring service for cloud-native applications with StormForge’s machine learning-powered solution for cloud-native application performance and resource optimization, DevOps and business teams can optimize resources, cost savings, and application performance at any scale all from one single interface.  

StormForge leverages the wealth of data you’re already collecting from Datadog to turn observability into actionability. Our integration enables StormForge to access metrics collected by Datadog and, using StormForge machine learning, provide recommendations for configuration changes that will minimize resource waste and improve performance. 

StormForge makes it easy to optimize your Kubernetes environment:

• Deploy StormForge in under an hour, begin receiving recommendations based on production observability data in less than a day
•  Simplify optimization with a holistic approach that combines pre-production experimentation and scenario analysis with real-time configuration recommendations based on production data
• Accelerate action with a single, integrated pane of glass to view ML-driven recommendations alongside the rest of your observability data
• Tune application configurations to reclaim resources, reduce cluster size and free-up resources for developers and projects

By recommending optimized configurations for Kubernetes applications, StormForge helps Datadog customers proactively and automatically ensure operational efficiency and intelligent business trade-offs between cost and performance without time-consuming, ineffective trial-and-error.

StormForge is the leader in Kubernetes application optimization. Purpose-built for Kubernetes, the StormForge platform makes it easy to achieve cloud resource efficiency at scale by combining enterprise-grade performance testing with machine learning to optimize applications automatically. The result is a significant increase in application performance and developer velocity, with much lower costs. 

StormForge Optimize Live: StormForge Optimize Live integrates with the Datadog platform to analyze observability data and optimize applications running in Kubernetes in near-realtime. By leveraging machine learning to adjust CPU and Memory parameters, Optimize Live reduces resource waste and ensures that applications request only the amount of resources they need based on actual activity, making the most of observability data already being collected.

StormForge Optimize Pro: StormForge Optimize Pro integrates with the Datadog platform to query metrics and drive  intelligent business trade-offs through multi-dimensional application optimization. Optimize Pro rapidly conducts and analyzes experiments against hundreds of application parameters in your non-production environment so that  cross-functional stakeholders can understand and anticipate application performance and cost before deploying into production. This streamlined process boosts  operational efficiency and application reliability without time-consuming manual tuning.

StormForge intelligently and automatically analyzes, informs, optimizes, and operates throughout the entire cloud-native development cycle to help organizations realize the promise of Kubernetes.