Multi-access Edge Computing (MEC) presents the next opportunity for Telcos
A CNCF-compliant Kubernetes distribution purpose-built IOT and Edge computing.
Ships with robust support for persistent storage compliant with the Kubernetes Container Storage Interface standard,
Support for service meshes like Istio, allowing for easy data storage as well as service discovery
Comes with service catalogue, marketplace and Billing (rating and mediation) modules. Can be integrated with native telecom applications also
End-users can consume the platform purely over APIs, and we can also offer a custom UI overlay.
Out-of-the-box multi-tenancy features with complete tenant and workload isolation
Native integration with Rancher Kubernetes management stack, ensuring robust RBAC as well as monitoring, logging and DevOps capabilities.
... of cloud-native applications around content delivery, DevOps and business applications, to provide an easy springboard for end-users to get started.
Ships with the capability to inter-connect edge clusters with other Kubernetes clusters running any distribution across all public and private clouds.
Mobile-Edge Computing provides low latency, high bandwidth, device processing and data offload as well as trusted computing and storage, which is heavily leveraged to process data from IoT sensors. It has many avenues of applications like Agri-tech, Smart Cities, Tele-health, Weather forecasting, Autonomous Vehicles, Energy management, Smart logistics, Industrial automation etc.
A strong edge cloud infrastructure enable telcos to build their own micro content delivery network overlay and offer CDN services to content owners who are looking to deliver real-time experience to their users.
OTT providers like Disney+Hotstar, Netflix, Amazon Prime etc. want to cache their content as close to their users as possible. Edge clouds offer the best-fit solution for the same
As games get more high-tech and graphics intensive, gaming companies need a low latency, high bandwidth connectivity between gamers and their gaming servers. Moreover, the use of VR/MR/AR in gaming and other applications demand low latency/high bandwidth compute on the edge. Hosting the gaming servers on MEC addresses these issues.
As the demand for Big Data processing continues to scale massively, backhauling all the data (both structured and unstructured) back to cloud data-centres for processing is rapidly becoming a thing of the past. AI/ML engineers now prefer to run a distributed computing infrastructure where they can process the raw data at the edge and deliver rapid results
Blockchain networks currently suffer for delays in transaction processing due to network latency. Edge clouds would create mechanisms for new data flows, server-to-server, and remove the need for data to have to traverse through the core network. This applies extensively in traceability, provenance, supply chain, and financial services verticals.
IndiQus a cloud solutions company that works with Service Providers (Telcos, ISPs and Datacenter providers) globally and enables them to build a profitable in-country cloud business.
We are currently undertaking POCs with a number of Telcos and would love to explore running LeanEdge on your MEC platform. Do contact us if you are interested.