Cloud-native & Edge Architectures
Sunesis helps organizations design, modernize and build scalable software architectures using microservices, APIs, event-driven systems, Kubernetes, OpenShift, Microsoft Azure, Google Cloud and edge-fog-cloud concepts, combining enterprise architecture, cloud-native engineering, integration, security-by-design, observability and DevOps.
Our architectures prepare digital platforms for the next generation of enterprise systems — where applications, APIs, workflows, data services and AI agents work together safely.
Built for complex enterprise environments where architecture, scalability, integration, security, observability and long-term maintainability matter.
Modern systems must change quickly, integrate with other systems, scale on demand and operate across distributed environments. Monolithic and tightly coupled architectures slow delivery, make integration painful and limit the ability to adopt new capabilities.
Sunesis helps organizations move toward modular, API-driven, event-enabled, cloud-ready, observable and secure architectures — designed to evolve rather than be rebuilt.
We support the full journey: from architecture assessment to a clear target architecture, and on to cloud-native delivery and edge-fog-cloud scenarios where workloads run closer to data.
Cloud-native architecture is not only about containers. It is about building secure, observable and integration-ready platforms that can support digital products, workflows, APIs and AI-enabled services.
We help organizations modernize software, integrate systems, achieve scalability and build platforms that can evolve over time — combining enterprise architecture with hands-on cloud-native engineering.
Containerized, scalable and resilient architectures designed for modern platforms and continuous delivery.
Key capabilities
Well-bounded services with clear ownership, contracts and resilience, decomposed around business domains.
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Production-grade platform and application architecture on Kubernetes and OpenShift, with secure and consistent delivery.
Key capabilities
APIs designed as first-class contracts that connect applications, partners, workflows and AI agents under control.
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Decoupled, scalable and traceable systems built around events, streaming and asynchronous messaging.
Key capabilities
Efficient, contract-first communication between services, including streaming and edge scenarios.
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Architectures that integrate deterministic workflow engines for long-running and human-approved processes.
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Service and API architectures that allow AI agents to act safely through controlled, governed capabilities.
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Identity, authorization and zero-trust patterns built into the architecture from the start.
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End-to-end visibility across services, APIs, events and workflows through instrumentation, tracing and audit logging.
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Distributed architectures that bring processing closer to data, with low latency and edge-to-cloud communication.
Key capabilities
We design architectures for major cloud platforms and for hybrid and multi-cloud environments, balancing platform capabilities with portability, neutrality and long-term flexibility.
Azure architecture, AKS, Azure DevOps, Microsoft Entra ID and hybrid patterns for enterprise workloads.
GCP architecture, GKE, data and integration services and cloud-native modernization.
Containerized workloads, GitOps delivery and multi-cluster operations on Kubernetes and OpenShift.
Workload portability, provider-neutral architecture, exit-strategy awareness and consistent identity, security and observability across providers.
Most organizations do not need a risky rewrite. They need a gradual evolution from monolithic and legacy systems toward modular, API-enabled, event-driven, observable and cloud-ready architectures.
Sunesis helps reduce risk by modernizing incrementally — preserving what works, exposing capabilities through APIs and events, and preparing systems for AI through approved, controlled capabilities.
Modern architecture is integration architecture. Systems must connect data, processes, channels, partners and increasingly AI agents — securely and reliably.
We design integration into the architecture so that systems communicate through clear contracts, controlled access and full visibility across distributed flows.
Security is a design concern, not an add-on. We build identity, authorization, platform security and zero-trust patterns into the architecture from the start.
OAuth2, OIDC, Keycloak, Microsoft Entra ID, identity propagation and RBAC across services and APIs.
Authentication, authorization and policy enforcement applied consistently across APIs and service communication.
Kubernetes and OpenShift security, network policies and secrets management for workloads.
Least privilege, mTLS and policy-based access between services and across distributed environments.
Secure execution of workflows, service tasks and automated actions under identity and policy control.
Controlled, tool-safe capabilities and gateway control so AI agents can act safely within the architecture.
Enterprise audit logging that records what happened across services, APIs, events and workflows.
Policy-based access and traceability that keep distributed systems controlled and accountable.
Distributed architectures are only valuable if they can be operated reliably. We design observability, resilience and production readiness into the architecture so teams can see, understand and trust what is happening.
Cloud-native architecture is the foundation for safe AI. We design platforms where AI agents act through controlled, governed and observable capabilities rather than direct backend access.
APIs designed so that AI agents can call them safely, with clear boundaries on what they can do.
Capabilities exposed as MCP-oriented tools that agents can use within a controlled integration model.
Reusable business capabilities that agents, digital products and workflows can call as governed tools.
Clear separation between AI reasoning and deterministic workflow execution for process-critical steps.
API gateway and policy enforcement applied to agent requests for authentication, control and logging.
Visibility and audit trails for AI-agent interactions across APIs, tools and workflows.
Intelligence is moving closer to data. Edge and fog computing enable faster response, greater resilience and new AI-enabled applications that cannot depend on a round trip to the cloud.
Sunesis connects cloud, edge and IoT into a coherent edge-fog-cloud continuum, with architectures strengthened by our research in distributed and AI-native systems.
Sunesis has a long history of building cloud-native, microservice and API-based systems through the Kumuluz product family, gained across demanding enterprise projects.
The Kumuluz Digital Platform and its components provide proven foundations for API-first, microservice, workflow-ready and AI-agent-ready development — informing how we design open, modular, cloud-native and observable architectures for our clients.
Foundation
Open, lightweight engineering foundation for cloud-native, microservice and API-based development.
API management
API management and gateway platform for exposing, securing, monitoring and governing APIs.
Capabilities
Reusable business capabilities for digital products, workflows and AI agents.
AI platform
Governed AgenticAI platform for agents, assistants, tool use, model routing and auditability.
Research & Innovation
AI-enabled, context-aware orchestration for the compute continuum across edge, fog and cloud.
AI-native orchestration for trustworthy, energy-efficient IoT–Edge–Fog–Cloud environments.
Intelligent IoT, edge computing and energy-aware infrastructure for distributed systems.
Adaptive Kubernetes resilience and cybersecurity through a mesh-based approach.
Advanced cloud-edge-IoT systems and intelligent infrastructure for next-generation platforms.
We study business goals, existing systems, integrations, constraints and operational realities before proposing change.
We establish a clear target architecture that balances scalability, integration, security, observability and maintainability.
We define how the system decomposes into services, APIs, events and deterministic workflow boundaries.
We build identity, authorization, zero-trust, tracing and audit logging into the architecture from the start.
We expose tool-safe APIs, Business APIs and gateway-controlled capabilities so AI agents can act safely.
We deliver in controlled increments, validating value and reducing risk at each step.
We design architectures to evolve — adding services, integrations, workflows and capabilities over time.
Microsoft Azure, Google Cloud, hybrid and multi-cloud architecture.
Kubernetes, OpenShift, Helm and GitOps delivery.
Cloud-native, microservices, API-first, event-driven, cloud-edge and workflow-ready patterns.
REST, event-driven APIs, Kafka, NATS and gRPC.
Temporal, Camunda, retries and compensation patterns.
Tool-safe APIs, MCP-oriented tools, Business APIs and KumuluzAI.
OAuth2, OIDC, Keycloak, Microsoft Entra ID, mTLS and zero-trust.
OpenTelemetry, Instana, tracing, metrics, audit logging and SLOs.
IoT, edge-fog-cloud continuum and energy-aware computing.
Reference
An enterprise integration platform connecting systems and processes across an insurance group.
A digital banking solution spanning frontend and backend, built for scale, security and reliability.
A business-critical platform for energy infrastructure and operational workflows.
DevOps and platform engineering for large-scale blockchain infrastructure.
An open, lightweight digital platform for cloud-native, microservice, API-based and workflow-ready development.
We do not just draw diagrams — we design and build the systems we architect.
We connect systems, data, processes, partners and AI through APIs, events and messaging.
Production experience with containerized platforms, GitOps and multi-cluster operations.
Identity, authorization, zero-trust and auditability built into every architecture.
OpenTelemetry, Instana, tracing, metrics and audit logging for reliable operations.
Hands-on architecture and delivery on Microsoft Azure and Google Cloud.
Architectures prepared for deterministic workflows and safe AI-agent execution.
Edge-fog-cloud and AI-native systems strengthened by active research and innovation projects.
Whether you are modernizing systems, building a cloud-native platform, introducing APIs and events, strengthening identity and security, improving observability, preparing for AgenticAI or exploring edge-fog-cloud, Sunesis can help you design and implement a scalable, secure, future-ready architecture.