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Implementation of Advanced AutoScaling and Automated Performance Testing Solution
  1. case
  2. Implementation of Advanced AutoScaling and Automated Performance Testing Solution

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Implementation of Advanced AutoScaling and Automated Performance Testing Solution

jalasoft.com
eCommerce
Information technology
Cloud services

Challenges in AutoScaling and Production Environment Replication

The client struggled with inefficient autoscaling implementation in complex performance environments, leading to inconsistent production environment replication, suboptimal resource utilization during peak workloads, and increased operational costs due to manual testing processes.

About the Client

Multinational e-commerce company specializing in online retail and digital services with high-traffic transactional platforms

Key Goals for DevOps Optimization

  • Implement dynamic autoscaling capabilities for production-like testing environments
  • Establish automated deployment pipelines for improved resource efficiency
  • Integrate automated performance testing frameworks
  • Achieve 30% reduction in infrastructure costs through optimized scaling
  • Ensure 99.99% system availability during high-traffic periods

Core System Capabilities

  • Intelligent autoscaling based on real-time metrics
  • CI/CD pipeline integration with Azure DevOps
  • Automated performance testing using Artillery.io
  • Multi-cloud environment replication (Azure/GCP)
  • Real-time monitoring dashboard with Datadog integration

Technology Stack Requirements

Terraform
Azure DevOps
Google Cloud Platform
TypeScript
Cucumber

System Integration Needs

  • Existing CI/CD tools
  • Cloud provider APIs
  • SQL Server Availability Groups
  • Monitoring solutions (Datadog)

Operational Requirements

  • Horizontal scalability to handle 10x traffic spikes
  • 99.99% system availability SLA
  • ISO 27001 compliance
  • Sub-500ms latency for 95% of transactions
  • Automated recovery mechanisms

Expected Business Impact of Enhanced DevOps and Automation

Projected 35% reduction in infrastructure costs through optimized autoscaling, 50% faster deployment cycles via automated pipelines, and 40% improvement in system reliability during peak loads. The solution will enable seamless handling of flash sales and seasonal traffic surges while maintaining compliance with financial transaction security standards.

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