Page Comparison

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SO Monitoring Feature Requirements

• A design idea
  • Why not Camunda Cockpit as is: current Camunda Cockpit was designed from a BPMN process management perspective (note: need to study for TOSCA cases).
    • It does not meet service-level orchestration monitoring.
    • It is designed for BPMN definition/execution monitoring; require process knowledge for monitoring.
  • We need higher-level monitoring abstraction for both BPMN and TOSCA.
    • Associate Service Instance Id (or other keys) to the top-level process instance id. For the association, 
    • Could use a process variable holding the Service Instance id (or other keys), or
    • Could use a database holding the association
    • Allow VID, UUI or external apps monitor process workflow process (graphically and text-based) based on extensible search keys.
  • We need a platform level runtime and history process activity report capabilties out of the box.
    • Regardless use of Camunda Enterprise Edition or Community Edition.
    • Query to Camunda/ARIA database to extract activities. 
  • The following diagram depicts the high-level concept. 

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• Rationale
  • Search is an Camunda enterprise feature, but we need to provide searching capabilitiy for non-enterprise edition.
    • Finding right process instance(s) for a NS/VNF service request is tedious and hassle.
    • To facilitate monitoring, we need more than what Camunda Community/Enterprise edition supports.
    • provides the process monitoring (instance-search) hyperlink to the SO clients for launching process monitoring.
      • Automates tedious manual steps for finding target process instance(s)
      • Access customized SO Service List / Camunda Cockpit widgets from VID, UUI and external APIs.
  • If a service provider uses Camunda Enterprise edition, they can still utilize this SO monitoring on top of Camunda enterprise edition features.
  • Many of Camunda enterprise features such as CRUDV and version control of process definitions would be part of SDC.
    • ONAP separated workflow design and runtime.
    • Several enterprise features are not part of SO monitoring features and are not applicable.
  • What are current TOSCA orchestrator monitoring capabilities?
    • SO monitoring should cover both imperative and declarative orchestration.
    • Question: can we have a kind of uniform way of monitoring?
• High-Level Requirements
  • Dashboard views of Service lists
    • Filtering capabilities based on search criteria
    • Configurable search criteria
  • Dashboard views of statistics (donuts, pie charts, etc.) for filtered service instances
  • Service Instance Rendering and detail panel views
    • with sub-service instance drill-drown and drill-up capabilities
      • A service instance could be realized by multiple process instances
    • with process / task detail
    • Topology (workflow) views during/after orchestration
  • Input/output data views for process/task/service task (messages, parameters)
    • Display on service / task detail panel
    • Provide message log views (could be on a pop-up widget)
  • Color coding/visual indication of statistic and service type and status
  • Troubleshooting capabilities by manipulating the workflow during orchestration for troubleshooting and retry from the current location (stretch goal)
  • TOSCA orchestration monitoring (stretch goal)

• Widget Requirements
  • Service List Widget 
    • Provides monitoring capabilities for processed services based on search criteria
      • Configurable Search Criteria filtering: Service ID, Operation Type, Status, User Id, Date/Time range
      • Actual filtering criteria fields could be changed based on configuration

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SO Scalability Requirements

• SO scalability will be supported by managing multiple SO instances by utilizing OOM.
  • In OOM, the number of SO component instances will be configured to control the number of active SO instances. 
    • Target scalability will be supported. The MariaDB instance number could be different from the rest of SO components.
  • Each BPMN execution engine will be configured for a shared database, so the engine can be scaled promptly and ready to handle assignments.
• SO endpoints will be registered to MSB for communication load-balancing.
• SO run-time scalability handling
  • SO will have multiple Camunda Execution engine instances which share the centralized data store.
    • The centralized data store will be replicated, and the replication will be transparent to other SO components.
  • The individual execution engine instances do not maintain session state across transactions.
    • The complete state is flushed out to the shared database when a process instance is complete or waiting for events (e.g., asynchronous event, message, human task, etc.).
    • Or, asynchronous continuations can be used during the workflow design when it is necessary to control save points actively (by design) and flush out the process instance states to the database.
    • Once a process instance is passivated, another engine instance can pick up and execute the remaining process instance flows.
  • Multiple SDC distribution client instances will be instantiated.
    • A SDC notification will be routed to (or picked up by) one of the SDC notification client instances. Then, the assigned client instance will:
      • query for templates/models from SDC.
      • parse the template/models and store in the Catalog DB.
    • Due to less frequent templates/models changes and SDC notification client activities, a small number (2) of SDC distribution client instances can be configured.
  • Multiple API handler instances will be instantiated, and all of the instances are active (active-active).
    • The requests from VID, External API and UUI towards the API handler instances will be distributed/routed via load-balancing. MSB is expected to handle their load-balancing.
    • An assigned API handler instance will communicate with the orchestration execution engine and Data store in a scalable manner.
      • Communications (invoking BPMN execution) with the orchestration execution engine will be done through MSB, no direct connection with hard-coded endpoints.
      • For storing requests and select recipes, the API Handler will communicate with the Data store (Request DB, Service Catalog), which is replicated.
  • Multiple Resource/Controller Adapters will be instantiated for active-active operations.
    • The communications between the BPMN/TOSCA resource recipes and the adapter instances will be load-balanced through MSB.
  • External communications with other ONAP components such as DACE, OOF, A&AI, SDNC, etc. will be done through MSB/DMaaP in a scalable manner like the above communication requirements. 

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