Atlassian Compass
The mission control for distributed software architectures and developer experience.
Architecting Cloud Native & AI/MLOps Infrastructure for the 2026 Enterprise
InfraCloud Technologies is a specialized cloud-native engineering firm and solutions provider that has transitioned into a premier architect for AI-driven infrastructure by 2026. They focus on building Internal Developer Platforms (IDPs) and MLOps pipelines using the CNCF ecosystem. Their technical architecture revolves around the 'Platform Engineering' paradigm, utilizing tools like Kubernetes, Crossplane, and Backstage to abstract cloud complexity. In 2026, they have positioned themselves as leaders in GPU slicing and orchestration, enabling enterprises to maximize ROI on expensive AI hardware. Their approach combines open-source contributions (such as BotKube and Fission) with high-touch advisory and managed services. They specialize in the 'Day 2' operations of massive scale clusters, offering automated observability, FinOps auditing to curb cloud sprawl, and multi-cloud networking strategies. By integrating AI-assisted DevOps (AIOps), InfraCloud enables organizations to achieve autonomous infrastructure management, reducing the mean time to resolution (MTTR) for complex distributed system failures through their proprietary automation frameworks.
Advanced scheduling policies to share GPU resources across multiple training and inference jobs using NVIDIA MIG and custom operators.
The mission control for distributed software architectures and developer experience.
The AI-powered Internal Developer Portal for engineering reliability and efficiency.
The Unified Kubernetes Governance Platform for Security, Cost Optimization, and Policy Enforcement.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Collaborative troubleshooting for Kubernetes directly from communication platforms with automated log fetching.
A high-performance, open-source serverless framework built on top of Kubernetes.
Implementation of eBPF-based networking for high-performance connectivity and security across different cloud providers.
Real-time cost attribution and automated shutdown of non-production resources using policy-as-code.
Uses machine learning to correlate alerts and suggest remediation steps based on historical incident data.
Building tailored Internal Developer Portals that provide developers with one-click infrastructure provisioning.
High cost and low availability of H100/A100 GPUs for production LLM serving.
Registry Updated:2/7/2026
Legacy monolithic apps needing to migrate to a secure, compliant Kubernetes environment.
Uncontrolled cloud costs due to orphaned resources and over-provisioning.