You invested in containerization and Kubernetes to reap the benefits of elasticity, resiliency and speed to market. But traditional metrics like availability and latency don’t solve for performance in dynamic multicloud or containerized environments.
For your service level objectives (SLOs) to be meaningful, they need to measure what matters: business impact and customer experience. IBM® Turbonomic® software automatically determines the right resource allocation actions—and when to make them—to help ensure your Kubernetes environments and mission-critical apps get exactly what they need to meet your SLOs.
For service level objectives (SLOs) to optimize the customer experience, you need constant analysis of application demand and continuous automation. That way, you have a top-down, full-stack source of data truth that enables you to correlate SLOs with dynamic resourcing to Kubernetes clusters.
Scale container resource requests and limits up or down based on workload demand. Execute the actions in real time or as part of the DevOps deployment process. These actions help reduce cloud costs by accurately provisioning CPU and compute resources.
When do you need to move a pod? To which node? Automatically move pods to avoid resource congestion and defragment the cluster without disruption.
When do you scale the cluster? By how much? Turbonomic software can identify when pods have too little or too much cluster capacity and provide actions to adjust accordingly. This helps you manage your Kubernetes resource utilization and focus on overall cost optimization.
How do you accommodate more growth? With a few clicks, simulate how to optimize your existing environment to unlock capacity for growth. This allows you to expand your digital initiatives while remaining committed to Kubernetes cost and resource management.
Developers, DevOps and SREs don’t need to set thresholds, constraints or autoscaling policies. The Turbonomic platform determines the best resourcing decisions and provides actions you can automate to optimize resource usage. In addition, a unified platform connects all your teams with a common understanding.
Microservices architectures running on Kubernetes force developers to make best-guess resourcing decisions. Turbonomic software automatically sizes containers, moves pods and scales clusters based on app demand, helping ensure you are optimizing Kubernetes for performance and cost efficiency.
Safely increase the frequency and scale of deployments. Our analytics integrate with your DevOps workflows, helping ensure the performance of new and existing services. Plus, automation helps teams manage multiple tenants across multiple platforms or clouds.
Manage resources at every layer of the application stack continuously and automatically to help ensure optimal performance.
Automate decisions that simultaneously help ensure performance, minimize cost and maintain compliance.
Help ensure the performance of applications running on EKS and view your EKS clusters alongside other distributions.
Get top-down, app-driven analytics that help ensure the continuous performance of your applications.
Achieve continuous performance and elasticity through automated actions.
The Turbonomic platform uses intelligent automation to increase utilization, reduce energy costs and carbon emissions, and achieve continuously efficient operations.
Turbonomic software automatically optimizes your applications’ resourcing levels while dynamically scaling with business needs in real time. With a modernization strategy you get a more efficient data center and better business outcomes.
The Turbonomic platform provides easy-to-use cloud migration planning that allows you to optimize your cloud consumption from the start and simplify your cloud migration.