“Mesh - Cloud, Services and Data”
A unified, AI-driven fabric that seamlessly interconnects cloud platforms, microservices, and data across distributed environments.
"One seamless mesh—connecting cloud, services, and data with AI-driven intelligence."
Key Differences
Unified vs. Fragmented – Eliminates silos between cloud, services, and data, enabling seamless interoperability.
Autonomous vs. Manual Management – AI-driven policies self-optimize network, service, and data flows.
Zero-Trust vs. Perimeter Security – Implements service identity-based access and encryption everywhere.
Intent-Based vs. Static Configurations – Users define goals, and the mesh dynamically adapts to meet them.
How it works
AI-Driven Service Routing – Optimizes service-to-service communication, reducing latency and failures.
Policy-Based Data Flow Management – Ensures data governance, security, and compliance across distributed environments.
Self-Healing Network Mesh – Detects and auto-remediates performance bottlenecks, failures, and congestion.
Multi-Cloud, Multi-Region Orchestration – Seamlessly integrates services and data across cloud, edge, and on-prem systems.
Use Cases
Multi-Cloud Application Resilience – Ensures high availability and failover across cloud providers.
Secure Zero-Trust Service Communication – Implements encryption, authentication, and access controls natively.
Intelligent Data Movement Across Environments – Dynamically routes and replicates data for cost and performance efficiency.
Federated AI and Analytics at Scale – Enables cross-cloud, real-time AI inferencing with unified observability.
Design Patterns
Service & Data Mesh Convergence – Unifies service-to-service and data-to-data communication for AI-driven automation.
Intent-Based Networking & Data Flow – AI understands objectives and dynamically optimizes paths across clouds.
Zero-Trust Security Mesh – Implements end-to-end encryption, identity-based access, and compliance automation.
Autonomous Observability-Driven Optimization – Mesh self-tunes based on telemetry, traffic, and cost analytics.
