A game-changer for Site Reliability Engineers and DevOps professionals. Harness high-performance memory snapshot capabilities for hot restarts of stateful apps and pods, with minimal overhead and no changes to your existing Kubernetes setup. Seamlessly preserve application and machine memory states, enhancing current Kubernetes Pod Migration mechanisms. See the benefits for yourself by joining our early adopter program.

Kubernetes presents a transformative approach to IT cost optimization, especially for stateful applications running on discounted spot instances and when transitioning from legacy VM platforms. However, K8s’ high frequency of pod kills and evictions makes it challenging to operate non-fault-tolerant stateful applications that were never designed for frequent cold restarts. This results in lower user productivity, lower resource utilization, and higher administrative costs.

Memory Machine for Kubernetes Operator is designed to address these type of operational challenges by enabling stateful applications to gracefully resume from the point where they were interrupted.

Memory Machine for Kubernetes will automatically checkpoint the node and gracefully migrate the running application state to the new node without loss of previous work or the need for a cold restart. By leveraging Memory Machine for Kubernetes’ infrastructure-as-code and auto-scaling capabilities, organizations can streamline operations, minimize manual errors, and significantly cut IT costs, all while enhancing system performance and dependability.

• Node Draining for Maintenance: Memory Machine for Kubernetes will periodically drain nodes and transfer running stateful apps to other nodes in order apply software patches and perform other maintenance. Memory Machine for Kubernetes will automatically checkpoint the node and gracefully migrate the running application state to the new node without loss of previous work or the need
  for a cold restart.
• Public Cloud Cost Optimization Using Spot Instances: Run Kubernetes nodes with stateful apps on Spot Instances to save up to 70% while automatically hot restarting any pre-empted pods on alternative instances.
• Seamless Recovery: Memory Machine for Kubernetes Operator can be used and configured in conjunction with other spot instance operators to ensure a hot restart of a pod elsewhere after an instance has been pre-empted.

• Efficient Resource Utilization: Kubernetes by design, are lightweight compared to traditional . By migrating stateful applications from traditional infrastructure to the Memory Machine for Kubernetes-managed containers, organizations can achieve higher density, running more applications on the same hardware or cloud resources, translating to direct cost savings.
• Infrastructure as Code: The Memory Machine for Kubernetes allows for defining infrastructure as code, streamlining and automating many deployment and scaling tasks. This not only reduces manual intervention and associated labor costs but also minimizes errors that might arise from manual operations.
• Reduced Overhead: Legacy infrastructure platforms often come with significant management overhead, both in terms of human resources and licensing costs. The Memory Machine for Kubernetes, being open-source, eliminates many of these costs, and its declarative nature simplifies management, reducing the need for specialized personnel.
• Flexibility & Scalability: The Memory Machine for Kubernetes offers auto-scaling based on workload demands, ensuring optimal resource allocation. Use the MMK Operator in conjunction with horizontal scaling for automated bin-packing while maintaining business continuity of stateful applications. Avoid OOM kills and over-provisioning by automatically resizing pod CPU & memory requests based on application usage. Seamlessly migrate a pod to another node when there are not enough resources on the original node. This means organizations only use (and pay for) the compute resources they genuinely need.