success/5g-and-connected-cars-edge-technology-provider-modernizing-an-edge-computing-platform-for-5g-by-developing-a-container-based-cloud-native-solution

5G and Connected Cars Edge Technology Provider: Modernizing an Edge Computing Platform for 5G by Developing a Container-based, Cloud-native Solution

5G and Connected Cars Edge Technology Provider:

Modernizing an Edge Computing Platform for 5G by Developing a Container-based, Cloud-native Solution

Industry: Automotive

Delivery Center: Brazil

talk to an expert

Modernizing an Edge Computing Platform for 5G by Developing a Container-based, Cloud-native Solution

Industry: Automotive

Delivery Center: Brazil

talk to an expert

Industry Context

With 5G technology promising better data throughput and low latency, availability, scalability, and connectivity, the telecommunication industry will make the automotive sector experience a profound shift. Increasingly, there is a demand for advanced multi-access edge computing platforms to process vehicle data closer to the source and facilitate real-time applications. Modernizing the edge computing infrastructure is essential to harness the full potential of intelligent cars

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Client Challenge

The client provides a carrier-grade cloud-native platform for Edge Computing, powering 5G deployments in the USA and EU that enables connected cars and self-driving vehicles. 

The client needed to modernize its edge computing platform to support the growing demand for 5G and connected vehicles requirements while aligning with industry ESG goals. The client must also support an expanding range of hardware to secure contracts & fortify partnerships, with a carrier-grade solution ensuring high-availability, scalability and monitoring. 

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Approach

Encora partnered with the client to address their critical need for a modernized edge computing platform that could support the evolving requirements of 5G-connected vehicles. A holistic set of services provided by Encora are: 

  • Consulting Services: Assessed long-term product strategy through market opportunity sizing, review of GTM strategy, benchmarking, competitive analysis, and understanding technology fit 
  • Cloud-Native Development: The product itself is a private cloud platform enabled by a modern container orchestration infrastructure 
  • Product Modernization: Highly specialized team assembled quickly, enabling an aggressive time-to-market of multiple product modernizations and enhancements 
  • Data Pipeline Engineering: Data collection, aggregation, prioritization, filtering, and alarms across complex, large-scale edge clouds with numerous nodes and sub-clouds 
  • Application & Product Maintenance: On-prem and cloud testing labs maintenance, administration, and improvements (processes and tooling); L3 Incident analysis & Resolution  
  • Automation & Toolchain Optimization: CI pipeline focused on enabling a continuous verification pipeline, and adding tools and mechanisms to optimize the building process for hundreds of developers 
  • Data & Application Security: Ensured that new product releases are free of known vulnerabilities, including those in both the product itself and third-party components 
  • Test Strategy & Planning: Conducted system and regression tests to ensure backward compatibility, while enhancing test environments to increase use case coverage and enable quicker feedback loops  
  • LLM-Powered Virtual Assistants: Developed a Gen AI assistant to augment administrators that manage complex distributed networks 
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Results

  • Successfully deployed thousands of Multi-access Edge Computing (MEC) locations across the US and EU, increasing the 5G infrastructure footprint to support V2X (vehicle to everything) communication and self-driving vehicles
  • Increased testing capacity and the catalog of integrated hardware and devices supported at those MEC locations, which improved hardware integration by expanding the range of devices supported and boosting testing capacity for increased flexibility and compatibility
  • Enabled key product enhancements like power consumption visualizations, footprint reduction, and an LLM-powered assistant​ to streamline network administration
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Engineering Velocity

Engineering Velocity

Throughput

Throughput

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Innovation Acceleration