One Operational View Across Distributed Sites
Apply the HERCULES–ATLAS architecture to branches, departments and distributed environments, with local GL3/GL4 execution and consolidated operational visibility.
An additional application scenario based on the CIRMS operational architecture. Scope and supported integrations need to be confirmed.
Local execution. Consolidated oversight.
Separate locations can develop different monitoring practices and reporting habits. This additional application scenario focuses on using a shared operational model while keeping execution close to the systems being managed.
Information in scope
- Site inventories
- Managed resources and their responsible teams.
- Local health checks
- Configured checks and execution results.
- Operational reports
- Agreed status and activity information.
- AI-ready assets
- GL4 preparation outputs within each scoped environment.
How the workflow is organized.
An application-level outline, not a claim that every source, connector or operational procedure is preconfigured.
- 01
Define each environment
Agree on site boundaries, resource ownership and supported technology domains.
- 02
Execute on HERCULES
Perform GL3 operational tasks and GL4 preparation within each configured environment.
- 03
Consolidate with ATLAS
Bring agreed operational information into the architectural oversight layer.
- 04
Review and improve
Assign actions to local owners and compare results using common definitions.
Consistent reporting
Reduce ambiguity when comparing operational status across sites.
Distributed execution
Keep operational work close to its managed environment.
Clear responsibility
Connect a consolidated view with the team responsible for each site.
A practical architectural foundation.
The operating model
Configured GL3 operational work and GL4 data preparation.
Consolidated information within the agreed architecture and deployment scope.
Review exceptions, confirm responsibilities and coordinate next steps.
Application of the documented HERCULES–ATLAS model. Multi-ATLAS and automatic failover remain planned extensions.
What sits behind the use case.
Separate the platform foundation from planned intelligence and the requirements of the target environment.
GL3 / GL4 & architecture
The documented hierarchy places local GL3/GL4 work on HERCULES and coordination/oversight on ATLAS. Actual deployment scope needs to be confirmed for the organization's environments.
AI & future extensions
Multi-ATLAS clustering, automated failover and GL5-assisted comparisons remain proposed or planned extensions. No availability guarantee is made by this scenario.
People, data & permissions
Define shared metrics, connectivity, access, source freshness, ownership and failure procedures. A central view does not remove responsibility from local operators.
A bounded evaluation
Begin with a limited pair of environments and the same set of agreed health and reporting definitions. Verify that the consolidated picture matches local evidence.
Candidate measures: reporting coverage, data freshness, consistency of checks and time to identify the owner of an operational exception.