Cloud & Integration

Cloud architecture and integration —
for ETRM system reality.

Cloud migration and system integration in ETRM environments follow different rules from generic IT projects. Historically grown system landscapes, business-critical processes and tight dependencies make pragmatic, incremental approaches the only viable path.

AWS & Target Architecture

AWS-aligned target architectures for ETRM environments — derived from existing system landscapes, operational requirements and realistic migration paths. No theoretical reference architectures without an operational perspective.

Landing zones, security baselines, IAM structures and network topologies for hybrid environments where on-premise systems and cloud services coexist for the long term.

  • — Target architecture reviews: assessment of existing landscape, gap analysis and prioritisation
  • — Landing zones and foundation: account structure, IAM, network, security baseline
  • — Hybrid integration: on-premise ↔ cloud connectivity for ETRM systems and data flows
  • — CI/CD pipelines for data pipelines, configuration and infrastructure as code
  • — Cost and operational transparency: tagging, cost allocation and monitoring

Integration patterns & APIs

Interface engineering for ETRM environments — from API design through messaging systems to reliable batch/file pipelines. Built for production, with error handling, monitoring and full handover.

Integration patterns in detail →

APIs

REST/SOAP, API-first design, versioning, monitoring and operational maintainability.

Messaging

Kafka, MQ, AMQP. Pub/sub patterns, dead-letter queues, end-to-end monitoring.

Batch / File

CSV, FpML, XML. Scheduler integration, error handling, reconciliation.

ETL/ELT

Data quality, retry logic, monitoring and operational handover with runbooks.

Legacy connectivity & modernisation

Established ETRM landscapes contain legacy components that cannot simply be replaced. We work pragmatically: adapter patterns and anti-corruption layers where rip-and-replace makes no sense — and clear modernisation paths where it is worth the effort.

  • — Adapter patterns and anti-corruption layers for existing legacy systems
  • — Assessment: what must be retained, what can be modernised, in what sequence
  • — Incremental modernisation paths with clear rollback scenarios
  • — Cloud connectors for existing ETRM systems — without full migration
  • — Operational handover: monitoring, runbooks and knowledge transfer

Operating model transition

Monitoring & Observability

Dashboards, alerts, operational metrics and incident escalation for cloud and hybrid environments.

Runbooks & Documentation

Operational documentation that works in practice — structured, current and maintainable by internal teams.

Knowledge Transfer

Structured knowledge transfer at the end of the engagement. The internal team takes over independently — that is the goal.

Frequently Asked Questions

Rip-and-replace or incremental modernisation?
Clear preference for incremental modernisation. ETRM environments contain too much historically grown logic for a complete restart to be realistic. We assess what must be retained and plan the rest.
Which cloud providers do you work with?
Primarily AWS — but without cloud-provider dogmatism. If the existing environment points elsewhere, we assess accordingly.
Which integration patterns do you prefer?
API-first for new interfaces, messaging (Kafka, MQ) for event-driven processing, batch/file pipelines where they are standard in ETRM operations. No stack dogmatism — selection based on the existing system landscape.
How does your work differ from generic cloud consulting?
We know ETRM systems and their operational requirements. Generic cloud patterns need to be adapted to ETRM system reality — that is the difference between a target architecture on paper and a system running in production.

Cloud or integration project?

kontakt@kiacon.de — concrete and direct.

Get in touch