AWS Competencies: GWS
About the Customer
Global Marketing Group (GWS) is a multinational marketing organization with an extensive online presence. Since its inception in 2012 with a single country website, GWS has expanded to over 80 country websites by 2024, necessitating a robust and scalable AWS infrastructure.
Customer Challenge
GWS encountered several critical challenges:
Performance Issues: The rapid expansion led to slow application and website performance across multiple regions.
High Costs: Maintaining old versions of Kubernetes with extended support and suboptimal instance configurations resulted in elevated costs.
Obsolete Infrastructure: Outdated Terraform code and Kubernetes deployments hindered efficiency and scalability.
Geographical Shift: Moving infrastructure from the US to London required careful planning and execution to ensure compliance and performance standards were met.
Partner Solution
To address these challenges, GWS collaborated with AWS experts who implemented a series of strategic improvements:
Geographical Transition
Successfully moved the infrastructure from the US to London, ensuring compliance with regional regulations and improving latency and user experience for the European market.
Geographical Transition
Successfully moved the infrastructure from the US to London, ensuring compliance with regional regulations and improving latency and user experience for the European market.
Geographical Transition
Successfully moved the infrastructure from the US to London, ensuring compliance with regional regulations and improving latency and user experience for the European market.
Geographical Transition
Successfully moved the infrastructure from the US to London, ensuring compliance with regional regulations and improving latency and user experience for the European market.
Instance Configuration Optimization
Reduced the number of instances from eight (each with 2 vCPUs and 16GB RAM) to five (each with 4 vCPUs and 32GB RAM), achieving cost savings and improved resource utilization.
Instance Configuration Optimization
Reduced the number of instances from eight (each with 2 vCPUs and 16GB RAM) to five (each with 4 vCPUs and 32GB RAM), achieving cost savings and improved resource utilization.
Instance Configuration Optimization
Reduced the number of instances from eight (each with 2 vCPUs and 16GB RAM) to five (each with 4 vCPUs and 32GB RAM), achieving cost savings and improved resource utilization.
Instance Configuration Optimization
Reduced the number of instances from eight (each with 2 vCPUs and 16GB RAM) to five (each with 4 vCPUs and 32GB RAM), achieving cost savings and improved resource utilization.
Kubernetes Upgrade
Upgraded all services to the latest version of Kubernetes (K8s), ensuring better performance, security, and support for modern features.
Kubernetes Upgrade
Upgraded all services to the latest version of Kubernetes (K8s), ensuring better performance, security, and support for modern features.
Kubernetes Upgrade
Upgraded all services to the latest version of Kubernetes (K8s), ensuring better performance, security, and support for modern features.
Kubernetes Upgrade
Upgraded all services to the latest version of Kubernetes (K8s), ensuring better performance, security, and support for modern features.
Resource Allocation Enhancement
Increased resource allocation to individual services, improving overall application responsiveness and reliability.
Resource Allocation Enhancement
Increased resource allocation to individual services, improving overall application responsiveness and reliability.
Resource Allocation Enhancement
Increased resource allocation to individual services, improving overall application responsiveness and reliability.
Resource Allocation Enhancement
Increased resource allocation to individual services, improving overall application responsiveness and reliability.
Automated Error Handling
Implemented configurations to automatically remove and replace services that encounter errors, preventing resource blocks and enhancing service availability.
Automated Error Handling
Implemented configurations to automatically remove and replace services that encounter errors, preventing resource blocks and enhancing service availability.
Automated Error Handling
Implemented configurations to automatically remove and replace services that encounter errors, preventing resource blocks and enhancing service availability.
Automated Error Handling
Implemented configurations to automatically remove and replace services that encounter errors, preventing resource blocks and enhancing service availability.
Service Optimizations
Optimized various services, including ingresses and other critical components, to streamline performance and efficiency.
Service Optimizations
Optimized various services, including ingresses and other critical components, to streamline performance and efficiency.
Service Optimizations
Optimized various services, including ingresses and other critical components, to streamline performance and efficiency.
Service Optimizations
Optimized various services, including ingresses and other critical components, to streamline performance and efficiency.
Virtual Machine Upgrades
Transitioned to newer generations of virtual machines, enhancing performance and resource efficiency.
Virtual Machine Upgrades
Transitioned to newer generations of virtual machines, enhancing performance and resource efficiency.
Virtual Machine Upgrades
Transitioned to newer generations of virtual machines, enhancing performance and resource efficiency.
Virtual Machine Upgrades
Transitioned to newer generations of virtual machines, enhancing performance and resource efficiency.
Results and Benefits
Results
and Benefits
The project resulted in significant improvements and benefits for GWS:
Performance Enhancement
Upgrading virtual machines and optimizing configurations led to faster application and website performance across all regions.
Performance Enhancement
Upgrading virtual machines and optimizing configurations led to faster application and website performance across all regions.
Performance Enhancement
Performance Enhancement
Upgrading virtual machines and optimizing configurations led to faster application and website performance across all regions.
Cost Savings
Efficient instance configurations and updated Kubernetes deployments reduced operational costs.
Cost Savings
Efficient instance configurations and updated Kubernetes deployments reduced operational costs.
Cost Savings
Cost Savings
Efficient instance configurations and updated Kubernetes deployments reduced operational costs.
Operational Efficiency
Automating error handling and optimizing services minimized downtime and resource wastage.
Operational Efficiency
Automating error handling and optimizing services minimized downtime and resource wastage.
Operational Efficiency
Operational Efficiency
Automating error handling and optimizing services minimized downtime and resource wastage.
Improved Resource Utilization
Enhanced resource allocation and instance optimization ensured better utilization of AWS infrastructure.
Improved Resource Utilization
Enhanced resource allocation and instance optimization ensured better utilization of AWS infrastructure.
Improved Resource Utilization
Improved Resource Utilization
Enhanced resource allocation and instance optimization ensured better utilization of AWS infrastructure.
Compliance and Latency
Moving infrastructure to London improved compliance with European regulations and reduced latency for European users.
Compliance and Latency
Moving infrastructure to London improved compliance with European regulations and reduced latency for European users.
Compliance and Latency
Compliance and Latency
Moving infrastructure to London improved compliance with European regulations and reduced latency for European users.
Metrics
Performance Improvement
Notable decrease in page load times and application response times.
Performance Improvement
Notable decrease in page load times and application response times.
Performance Improvement
Notable decrease in page load times and application response times.
Performance Improvement
Notable decrease in page load times and application response times.
Service Availability
Increased uptime and reduced incidents of service disruption.
Service Availability
Increased uptime and reduced incidents of service disruption.
Service Availability
Increased uptime and reduced incidents of service disruption.
Service Availability
Increased uptime and reduced incidents of service disruption.
Cost Efficiency
Reduction in AWS spending due to optimized instance configurations and updated infrastructure.
Cost Efficiency
Reduction in AWS spending due to optimized instance configurations and updated infrastructure.
Cost Efficiency
Reduction in AWS spending due to optimized instance configurations and updated infrastructure.
Cost Efficiency
Reduction in AWS spending due to optimized instance configurations and updated infrastructure.
Resource Utilization
Improved resource utilization metrics, such as CPU and memory usage, across the infrastructure.
Resource Utilization
Improved resource utilization metrics, such as CPU and memory usage, across the infrastructure.
Resource Utilization
Improved resource utilization metrics, such as CPU and memory usage, across the infrastructure.
Resource Utilization
Improved resource utilization metrics, such as CPU and memory usage, across the infrastructure.
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Jerzy Kopaczewski
Co-Founder & CTO
Jerzy Kopaczewski
Co-Founder & CTO
Copyright © 2024 All Rights Reserved by Devopsity
Copyright © 2024 All Rights Reserved by Devopsity
Copyright © 2024 All Rights Reserved by Devopsity
Copyright © 2024
All Rights Reserved by Devopsity