Execution Context Deployments (ECDs) (4.0)

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With Global variable macro (Development) comes a new concept and resource called EC (Execution Context) Deployment, or short ECD. The idea for this concept is to hold a single EC with all its resources and workflows as one complete package that will execute, scale and balance on its own.

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Execution Context Deployment (EC Deployment)

This allows the possibility to control the full life cycle of the EC and its workflows through a single API-controlled resource, from start to stop, creating and editing the configuration and scaling the resources. By treating both the EC and the full set of workflows as a single resource, we get a robust way to work and integrate with different use cases like load distribution, virtual function instantiation such as network slicing in a 5G telecom network, online interface management, etc.

EC Deployment is only available in Kubernetes-based deployments. It combines Kubernetes resources with Usage Engine resources into a single higher-level resource, making it easy to scale and perform other life cycle operations on, as a single unit. Once deployed, the ECD is automatically managed by Kubernetes which ensures the ECD continuously runs in an active state. This means that if a workflow aborts, it will be automatically restarted through Kubernetes.

The resources that are managed through ECDs are:

• Kubernetes Deployment - The collection of Pods that execute the Execution Contexts, with parameters like CPU and memory usage limits, JVM configuration, and default number of replicas

• Kubernetes Service – How IP ports are exposed externally from the cluster

• Kubernetes Ingress – How HTTP interfaces are exposed externally from the cluster

• Kubernetes HorizontalPodAutoscaler - How workflows are automatically scaled based on CPU or custom metrics

• Workflows – Which workflows are executed on the EC and what parameters they are executed with

ECDs can be managed through the https://infozone.atlassian.net/wiki/pages/createpage.action?spaceKey=UEPE4D&title=EC%20Deployment%20Interface%20%284.0%29%20-%20Jaws&linkCreation=true&fromPageId=107249705 or through the Kubernetes API using tools like kubectl and helm or by directly accessing the REST API.