· Document detailed current-state integration flows, protocols, and configurations; define technical specifications for target integrations for prioritized applications within the ADMS ecosystem.
· Catalogue all integration points between ADMS and connected systems (SCADA, OMS, GIS, CIS, Asset Management, DERMS, Data Lake/Analytics). Quantify data volumes, transaction rates, latency requirements, availability SLAs, and resiliency needs for each integration.
· Document existing integration patterns at the configuration level. Evaluate them against data volume throughput, availability SLAs, security measures (encryption, authentication, access control), performance benchmarks (latency, batch window constraints), and resiliency mechanisms (failover, retry logic, disaster recovery).
· Recommend capacity plans for near-term and future scaling based on forecasted DER penetration, IoT telemetry growth, and analytics demands for prioritized workflows.
· Develop integration design guidelines aligned with utility industry standards. Recommend appropriate integration patterns (event-driven, API-led, streaming, hub-and-spoke) for each prioritized workflow based on sizing results.
· Catalogue all relevant data sources, assess data quality and completeness, and document technical access methods for prioritized workflows.
· Perform technical readiness checks on APIs, middleware, databases, and network configurations; identify detailed remediation actions.
Provide the sizing analysis and best practice integration recommendations section of the blueprint, including diagrams, capacity models, and recommended standards for prioritized workflows.
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