Cutting-Edge Cloud Migration and AI Infrastructure Spikes Efficiency
The Challenge
The company aimed to deploy their new “Kinetic Edge” architecture to support Kubernetes workloads close to retail locations. They needed a system integrator to architect and implement a solution using Google Cloud Anthos and machine learning (ML). The solution had to be performance-tested across multiple architectural configurations.
The Solution
Anthos Bare Metal was deployed on the client’s Kinetic Edge hardware, establishing secure network connectivity between retail stores and Google Cloud Platform. Using Terraform, a data and monitoring pipeline was created to enable multi-store analytics. Additionally, an AI-powered Vision micro-services architecture was integrated with an object detection system to enhance operational efficiency, scalability, and performance.
The Result
Efficiency Boost: Validation enhanced operational efficiency, ensuring seamless failover and minimizing downtime risks.
Risk Mitigation: Benchmarking reduced risks by ensuring optimal performance and reliability across data centers.
Competitive Edge: Improved capabilities took the company ahead, attracting clients seeking robust infrastructure.
Cost Savings: Streamlined operations and enhanced reliability led to reduced operational costs and revenue loss.
Cutting-Edge Cloud Migration and AI Infrastructure Spikes Efficiency
The Challenge
The company aimed to deploy their new “Kinetic Edge” architecture to support Kubernetes workloads close to retail locations. They needed a system integrator to architect and implement a solution using Google Cloud Anthos and machine learning (ML). The solution had to be performance-tested across multiple architectural configurations.
The Solution
Anthos Bare Metal was deployed on the client’s Kinetic Edge hardware, establishing secure network connectivity between retail stores and Google Cloud Platform. Using Terraform, a data and monitoring pipeline was created to enable multi-store analytics. Additionally, an AI-powered Vision micro-services architecture was integrated with an object detection system to enhance operational efficiency, scalability, and performance.
The Result
Efficiency Boost: Validation enhanced operational efficiency, ensuring seamless failover and minimizing downtime risks.
Risk Mitigation: Benchmarking reduced risks by ensuring optimal performance and reliability across data centers.
Competitive Edge: Improved capabilities took the company ahead, attracting clients seeking robust infrastructure.
Cost Savings: Streamlined operations and enhanced reliability led to reduced operational costs and revenue loss.
