What if your metrics matched your mission?
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® Application Resource Management software automatically determines the resourcing actions at the right time to ensure your mission-critical apps get exactly what they need to meet your SLOs.
Go beyond thresholds
For service level objectives (SLOs) to optimize the customer experience, you need continuous analysis of application demand and continuous automation. That way, you have a top-down, full-stack source of data truth to correlate the SLOs to dynamic resourcing, making the right decisions for you.
Scale container limits and requests up or down based on application demand. Execute the actions in real time or as part of the DevOps deployment process.
Continuous pod moves
When do you need to move a pod? To which node? Automatically move pods to avoid resource congestion and defragment the cluster without disruption.
Intelligent cluster scaling
When do you scale the cluster? By how much? IBM Turbonomic can see when pods have too little or too much cluster capacity and will give the action to spin up another or suspend nodes.
How to accommodate more growth? With a few clicks, simulate how to optimize the existing environment to unlock capacity for growth so you can expand your digital initiatives.
IBM Turbonomic supports all upstream versions of Kubernetes
- Red Hat® OpenShift®
- Amazon EKS
- Azure AKS
- Google GKE