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Amazon EKS Distro (EKS-D) is a Kubernetes distribution based on and used by Amazon Elastic Kubernetes Service (EKS) to create reliable and secure Kubernetes clusters. With EKS-D, you can rely on the same versions of Kubernetes and its dependencies deployed by Amazon EKS. This includes the latest upstream updates, as well as extended security patching support. EKS-D follows the same Kubernetes version release cycle as Amazon EKS, and we provide the bits here. EKS-D provides the same software...

...By default, kube-capacity will output a list of nodes with the total CPU and Memory resource requests and limits for all the pods running on them. For clusters with more than one node, the first line will also include cluster-wide totals.

...Its design embraces OTP principles, using supervised processes and fault-tolerant messaging to keep the registry resilient under failures. Developers can co-locate Swarm with their existing supervision trees to scale workers horizontally without writing custom clustering code. Typical use cases include globally unique workers, sharded consumers, and presence-like coordination where node churn is expected. By turning registry and handoff into configuration and callbacks, Swarm reduces the complexity of multi-node deployments.

SAFMQ: Store and Forward Message Queue, message oriented middleware. Uses include Assured Async Messaging, SOA, Delayed/Batch, and Cluster/Grid Computing. The SAFMQ server provides cross platform communication among C++, PHP, Java, and .NET clients.

ActiveGrid is an Enterprise Web 2.0 solution that allows the composition of code-free applications that comply with corporate IT standards. Technologies include Python, Java, XForm, Xpath, WSDL, CSS, XML Schema (XSD), XACML, and BPEL.

An object oriented PHP interface to the Sharedance cache server. Allows you to cache data in the very fast and reliable Sharedance cache server. Features include: Can be distributed across multiple servers, optional redundancy

distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.

Strength in numbers. Existing products we're involved in include port to Linux of Tony Forbes' MFAC for brute-force factorization of MM61 for relatively small factors, and further development and improvement of Tim Charron's ECMnet distributed computing f