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Enabling Microservice Architecture
Challenge:
The organization experienced performance issues with the Schedulogic platform due to increased user load, leading to degraded system performance and user timeouts during critical operations. The platform's outdated architecture also limited the ability to develop and test new features efficiently, posing risks to scalability and customer satisfaction as the product grew.
Actions:
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AWS and Docker Deployment: Re-architected Schedulogic using AWS and Docker to separate the Mission Control component, which was the source of performance bottlenecks.
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Load Balancing Implementation: Introduced load balancing to distribute system load evenly and prevent future performance degradation during periods of high user activity.
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Performance and Load Testing: Conducted rigorous testing to validate improvements and ensure the platform could handle increased user demand without disruption.
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Design and Functionality Enhancements: Updated key design elements and functionality within Mission Control to improve usability and the user experience.
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Scalability Focus: Optimized the platform’s architecture to support future growth with minimal impact on performance as new customers are onboarded.
Results:
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Improved System Performance: Eliminated major performance issues, resulting in faster operations and fewer customer complaints about timeouts.
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Enhanced Scalability: Positioned the platform to grow efficiently with no performance impact as additional customers are added.
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Optimized Load Handling: Implemented load balancing to ensure consistent performance even during peak usage periods.
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User Experience Improvements: Delivered better functionality and responsiveness within Mission Control, improving the overall customer experience.
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Future-Proof Architecture: Created a flexible architecture that enables faster feature development, ensuring the platform can adapt to evolving needs.

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