Open Systems Lab delivers AI-powered solutions for integrating and transforming existing infrastructure. A focus on DevOps, MLOps, cloud platforms, and AI technologies contributes to achieving operational excellence and efficiency.

Open Systems Lab integrates generative AI technology into existing workflows and infrastructure. With a focus on DevOps, GitOps, and CI/CD, these solutions deliver operational robustness while reducing complexity and costs. Projects typically lead to significant reduction in operational overhead and improvements in infrastructure troubleshooting through intelligent automation.

• Generative AI business integration and workflow automation.
• AI adoption strategies and implementation.
• MLOps pipelines for automated model delivery.
• Model Context Protocol (MCP) platforms for natural language infrastructure operations.
• AI-powered automation solutions that reduce troubleshooting time by 80%.
• Custom AI workflows for business process optimization.

• Enterprise-scale Kubernetes clusters (EKS, self-hosted, hybrid deployments).
• Multi-cloud architecture design and implementation.
• Serverless computing platforms with cost-effective auto-scaling.
• Container orchestration and microservices architecture.
• Multi-network Kubernetes architectures for complex networking requirements.

• CI/CD pipeline engineering with GitHub Actions, FluxCD, and Helm.
• Infrastructure as Code with Terraform, Ansible, and Kustomize.
• GitOps workflows with automated security scanning and compliance.
• Observability platforms with Prometheus, Grafana, and OpenTelemetry.
• Matrix-based CI/CD supporting multiple platforms and configurations.

• Security automation with vulnerability detection and compliance monitoring.
• DevSecOps integration with automated scanning (SonarQube, Orca, Anchore).
• Cost optimization with intelligent resource management.
• Multi-region security analysis and alerting.

Enterprise-grade MCP platforms are provisioned with specialized microservices for cloud operations:

• AWS Integration: Real-time security analysis across VPC, EC2, S3, and IAM with automated vulnerability detection.
• Azure Optimization: Advanced container optimization achieving 90%+ size reduction.
• AI-Driven Analysis: Natural language infrastructure queries with intelligent recommendations.
• Project Management Integration: Automated security ticket creation and issue tracking.

• 92% container size reduction through advanced optimization techniques.
• Automated security issue detection with seamless CI/CD integration.
• 40%+ cost savings through intelligent cloud spend optimization.
• 80% reduction in CI/CD operational costs via self-hosted solutions.
• 85% decrease in deployment-related failures through validation frameworks.

• AI & ML: Model Context Protocol, MLOps, Anthropic Claude Integration, LLM Operations, Generative AI Workflows.
• Cloud Platforms: AWS (EC2, VPC, S3, IAM, CloudWatch), Azure (Storage, Compute, PIM, Active Directory).
• DevOps/GitOps: GitHub Actions, FluxCD, Kustomize, Helm, Docker multi-stage builds.
• Container Orchestration: Kubernetes, StatefulSets, multi-network pods, EKS cluster management.
• Programming: Go microservices, TypeScript, Python, Shell scripting, RESTful APIs.
• Observability: Prometheus, Grafana, Loki, OpenTelemetry, Jaeger, health monitoring.
• Security: DevSecOps scanning, container security, IAM policy analysis, vulnerability assessment.

Organizations can transform infrastructure with AI-powered solutions. Contact is available for further discussion regarding specific requirements.

• Email: [email protected]
• Website: opensystemslab.com
• GitHub: github.com/OpenSystemsLab