Defining Big Cloud Fabric Observer jobs
You configure Big Cloud Fabric Observer jobs to dynamically load data from the Big Cloud Fabric REST interface.
Before you begin
Ensure you have the Big Cloud Fabric service details to hand, such as username, password, hostname and port.
The observer is installed as part of the core installation procedure.
Remember: Swagger documentation for the observer is available at the following default
location: https://<your
host>/1.0/bigcloudfabric-observer/swagger
About this task
The Big Cloud Fabric Observer job extracts Big Cloud Fabric resource information via REST. The observer loads and updates the resources and their relationships within the Agile Service Manager core topology service.
bigcloudfabric_observer_common.sh
- The configuration file you use to customize Big Cloud Fabric Observer settings.
You define and start the following job.
- LDAP job
- Run this job whenever you need Big Cloud Fabric topology data refreshed.
The Big Cloud Fabric Observer loads the following resources and their relationship into the Agile
Service Manager core topology service:
Vertex | Description |
---|---|
Access Leaf | Access Leaf Switch part of DC fabric |
Access Port | Access Leaf Switch port connected to Compute Node and Spine Switch port |
Spine Switch | Spine Switch part of DC fabric |
Spine Switch Port | Spine Switch port connected to Access Leaf Switch and L3 Router Port |
Procedure
To edit the parameters in the configuration file
To start the LDAP job
Results
This job loads all requested data, and runs only once. Run this job whenever you need the topology data refreshed.
What to do next
You can also use the following scripts:
- bigcloudfabric_observer_load_stop.sh
- Stops the Load job
- bigcloudfabric_observer_job_list.sh
- Lists the status of current jobs
- bigcloudfabric_observer_log_level.sh
- Sets the log level
Remember: As an alternative to being configured using the Observer Configuration
UI, observer jobs have scripts to start and stop all available jobs, to list the status of a current
job, and to set its logging levels. These scripts can be run with -h or
--help to display help information, and with -v or
--verbose to print out the details of the actions performed by the script,
including the full cURL command. For the on-prem version of Agile Service Manager, observer scripts
are configured for specific jobs by editing the script configuration files.