StormForge
StormForge Optimize Live continuously rightsizes Kubernetes workloads to ensure cloud-native applications are both cost effective and performant while removing developer toil.
As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the Kubernetes horizontal pod autoscaler (HPA) at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced machine learning to recommend optimal resource requests and limits.
Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing.
Organizations see immediate benefits from the reduction of wasted resources — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate.
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Exostellar
Exostellar is a self-managed AI infrastructure orchestration platform built to simplify how enterprises run heterogeneous CPU and GPU environments. It intelligently handles scaling, scheduling, and optimization so AI developers and IT teams don’t have to manage infrastructure complexity manually. Exostellar unifies orchestration, optimization, and scalability into a single adaptive layer designed for hybrid and multi-cloud environments. The platform supports advanced CPU and GPU resource management, including just-in-time provisioning and AI-assisted scheduling. With autonomous right-sizing and smart workload tuning, Exostellar helps organizations maximize infrastructure utilization. It is vendor-agnostic and avoids lock-in, giving teams full control across clusters and clouds. By boosting efficiency and reducing costs, Exostellar significantly improves ROI for enterprise AI infrastructure.
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Amazon CloudWatch
Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers. You can use CloudWatch to detect anomalous behavior in your environments, set alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to keep your applications. CloudWatch alarms watch your metric values against thresholds that you specify or that it creates using ML models to detect anomalous behavior.
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eG Enterprise
IT performance monitoring is not about monitoring CPU, memory and network resources any more. eG Enterprise makes user experience the centerpiece of your IT monitoring and management strategy. With eG Enterprise, you can measure the digital experience of your users, get deep visibility into the performance the entire application delivery stack — from code to user experience, and data center to cloud — from a single pane of glass, correlate performance across domains and pinpoint the root-cause of problems proactively. Machine learning and analytics capabilities embedded in eG Enterprise enable IT teams make intelligent decisions regarding right-sizing, optimization and planning for future growth. The result: happy users, enhanced productivity, improved IT efficiency and tangible business ROI. eG Enterprise is available for installation on-premise and as a SaaS solution. Start a free trial today.
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