Provides a cloud-native edge orchestration platform that extends Kubernetes-based deployment, management, and scaling to distributed edge infrastructure. It reduces cloud costs by up to 70%, decreases end-to-end latency by tenfold, and ensures secure, compliant operations through integrated SD-WAN and full-stack monitoring.
Funding
Funding not disclosed
Founders
Product
Problem
Managing and orchestrating applications across distributed edge infrastructure is complex, costly, and can introduce latency issues due to the distance between data sources and processing locations. Traditional cloud-based solutions often struggle to meet the low-latency, data privacy, and cost-efficiency requirements of edge computing environments.
Solution
Namla provides a cloud-native edge orchestration platform that simplifies the deployment, management, and scaling of applications across distributed edge infrastructure. The platform extends Kubernetes-based orchestration to the edge, enabling automated deployment, management, and scaling of edge runtimes and components. Namla also incorporates a cloud-native SD-WAN solution, providing secure edge-to-cloud connectivity and availability, along with full-stack monitoring for hardware, networking, and applications. By processing data closer to the source, Namla reduces cloud costs, decreases end-to-end latency, and ensures compliance with data privacy regulations.
Target Audience
Namla targets businesses across various industries, including manufacturing, smart cities, healthcare, retail, and telecommunications, that require efficient and secure management of distributed edge infrastructure.
Features
- Kubernetes orchestration extended to the edge for automated deployment and management
- Zero-touch deployment for rapid provisioning of edge devices
- Cloud-native SD-WAN for secure and reliable connectivity
- Full-stack monitoring of hardware, networking, and applications from a single pane of glass
- Multi-cloud support for flexibility and avoiding vendor lock-in
- EdgeOps plugins for integrating DevOps, NetOps, and MLOps pipelines
- Support for containerized and VM-based applications