Cloud Architecture
Your applications run in the cloud — but were they designed for it? The infrastructure is one layer. The architecture decisions above it determine everything else.
The situation you're in
You moved to the cloud. But the applications still behave like they're running on-premises.
VMs are the starting point, not the destination
Cloud platforms offer managed services that replace entire infrastructure layers — but only if the application architecture uses them.
Your application wasn't built to be distributed
Monolithic deployments don't become microservices by moving to the cloud. Distribution is an architecture decision, not a hosting decision.
Every vendor has a default — and it's not always yours
SAP, cloud providers, system integrators — each recommends their own stack. Choosing the right tool per layer is an architecture call.
The operational model changed, the processes didn't
Infrastructure as code, deployment pipelines, observability — cloud operations require different skills and workflows than managing on-premises systems.
Architecture that fits the platform
The decisions that matter aren't about VM sizes — they're about how systems are composed, how they communicate, and how they're operated.
Service-oriented design for the right layer
Choosing between IaaS, PaaS, and managed services per layer — based on what fits, not on what the vendor recommends.
Messaging and connectivity patterns
Message brokers, API gateways, event streams, hybrid connectivity — designing how systems talk to each other in a distributed world.
Operations designed alongside the architecture
Terraform, deployment pipelines, monitoring — the operational model that matches the architecture, not an afterthought.
In distributed systems, how components communicate matters as much as what they do. The connectivity architecture determines whether the system behaves as a coherent whole or as fragile point-to-point integrations.
Async messaging
Decoupling systems through message brokers and queues — choosing the right pattern for reliability, ordering, and throughput.
API design
Internal and external APIs with consistent contracts, versioning, and management — REST, GraphQL, or gRPC depending on the use case.
Event-driven patterns
Real-time data flow through event streams — publish/subscribe, event sourcing, change data capture for system integration.
Hybrid connectivity
Connecting cloud workloads to on-premises systems — VPN, private endpoints, reverse proxies, and protocol bridging.
Where SAP meets cloud architecture
SAP systems connect to cloud-native applications, data platforms, and identity infrastructure. How those connections are designed is a cloud architecture decision.
Integration beyond the SAP stack
SAP has its own integration world. Cloud architecture adds another. The question is how to bridge them — by fit, not by vendor affinity.
BTP as one platform among several
BTP offers extension and integration services. But it's not the only platform in your landscape. The goal is a coherent architecture, not vendor silos.
Cloud architecture challenge?
Whether you're rethinking your application design, migrating workloads, or building something new — let's talk about the architecture.