SAPCAS is a curated collection of functional tools, microSaaS products, and utilities focused on automation and efficiency in data environments.
Explore MoreEach service is a plug-and-play component that can be deployed independently or in combination.
Built with scalability in mind, from proof of concept to production-level systems.
Empower your workflows with intelligent automation and event-driven logic.
Integration of microservices into SAPCAS Microservices platform.
Creation of technical and functional documentation.
Marketing and client acquisition.
Budget negotiation and technical effort planning.
Integration of our services to the client.
Integration testing and quality assurance.
Deploy your microservices and start gaining value instantly.
Sapcas Microservices is built on a clear mission: to deliver modular, scalable, and automated solutions tailored for modern data environments. We apply a strategic approach to engineering, balancing technical depth with practical impact.
As the platform evolves, so does its foundation. Each phase brings tighter integration, deeper specialisation and alignment with experts in cloud-native architecture, data infrastructure and artificial intelligence — all aimed at providing high-performance, production-ready solutions.
Driven by best practices and clean design principles, we prioritize architecture that is robust, testable and built to scale.
Designed with flexibility in mind, our services are optimized for multi-cloud ecosystems and continuous delivery pipelines.
Automation is part of the DNA. We embrace intelligent orchestration, AI integrations and event-driven logic to maximize efficiency.
We build with technologies designed for performance, observability and scalability. Every microservice is crafted using modern cloud-native patterns, automation pipelines and secure data-first principles.
Services deployed with GCP-native solutions like Cloud Run, Pub/Sub, BigQuery and Composer for orchestration.
Each service is containerized for flexibility and scalability. Kubernetes-ready architecture.
Optimized languages depending on the use case: APIs, streaming, AI, or lightweight CLIs.
Integrations with models, vector stores, embeddings and auto-processing pipelines for intelligent automation.
Secure endpoints with OAuth2, API Gateways, service accounts and scoped IAM policies.
Fully automated delivery using GitHub Actions, Terraform and environment-aware pipelines.