Services

We design and implement scalable, resilient architectures using open-source technologies. Our architecture principles emphasize vendor independence through carefully selected open-source components that organizations can truly own and operate. Our approach focuses on:

• Event-driven systems that adapt to changing business needs
• Infrastructure-as-code deployment patterns
• Integration of AI capabilities into existing architectures
• Vendor-independent technology selections based on open-source solutions

Legacy applications often hold critical business value but struggle with modern requirements. We transform these existing applications into cloud-native solutions, leveraging open-source frameworks and tools while preserving core functionality. Our multilingual engineering team handles modernization across Java, C#, Python, Go, JavaScript, TypeScript, Kotlin, and other modern programming languages:

• Decomposition of monoliths into microservices using open-source frameworks
• Integration of open-source AI capabilities into legacy systems
• Migration to event-driven architectures with open-source message brokers
• Modernization of development and deployment pipelines using open-source CI/CD tools

When starting from scratch, we leverage the full potential of modern cloud-native principles and AI capabilities. Our development approach combines cutting-edge open-source technologies with practical, maintainable solutions. We develop in Java, C#, Python, Go, JavaScript, TypeScript, Kotlin, and other languages, always prioritizing open-source frameworks and libraries:

• Cloud-native application design and implementation using open-source frameworks
• AI-driven features using open-source models and tools
• Event-driven architecture implementation with open-source components
• Automated testing and deployment pipelines built on open-source tools

Modern infrastructure demands flexibility, scalability, and independence from proprietary solutions. We implement complete cloud and AI stacks based entirely on open-source components that organizations can truly own and operate, providing the foundation for sustainable digital operations without vendor lock-in:

• On-premises cloud stack deployment using open-source platforms
• Open-source AI model deployment, fine-tuning, and operation
• Infrastructure automation using open-source tools
• Custom AI pipeline development with open-source frameworks

Effective operations require more than just monitoring – they demand predictive capabilities and automated responses. We implement comprehensive operational solutions using open-source monitoring stacks, combining traditional metrics with AI-driven insights from open-source models, enabling truly proactive platform management:

• Implementation of open-source observability stacks
• Predictive operations using metrics, logs, and open-source AI analysis
• 24/7 managed services and support based on open-source tooling
• Integration of open-source monitoring and alerting tools

Successfully implementing and maintaining cloud-native and AI solutions requires deep expertise across multiple domains. We share our comprehensive knowledge of open-source technologies and practical experience across multiple programming languages and platforms, enabling teams to make informed decisions and implement solutions effectively:

• Open-source technology selection and evaluation
• Cloud-native transformation strategies using open-source components
• AI implementation roadmaps based on open-source models
• Team training and knowledge transfer across multiple programming languages
• Set up and Operations of Platforms, such as Kubernetes, OpenStack, Sovereign Cloud Stack, and others
• GitOps, DevOps, Architectures, Design-Patterns, Best-Practices, Mindsets, Processes in a Cloud-Native World
• GovStack implementation guidance