Case Overview
A leading company in the security industry required performance engineering services to enhance the efficiency and scalability of their cloud-based application. The goal was to ensure optimal performance of web, application, and database components in a Kubernetes (K8s) environment while identifying and resolving bottlenecks impacting response times.
ABOUT THE CLIENT
The client operates in the security industry and has been a customer since 2020. They are based in Israel and required performance engineering services to optimize their cloud-based application.
BUSINESS CHALLENGE
The client faced several challenges in maintaining the optimal performance of their cloud-hosted application. They needed to ensure the smooth functioning of web, application (microservices), and database components while identifying and resolving performance bottlenecks that were affecting response times. Monitoring microservices efficiently in a distributed cloud environment was also crucial. Additionally, they sought to optimize infrastructure resource configurations to meet business needs effectively.
Solution Overview
A structured performance engineering framework was established to evaluate and certify the performance of web, application, and database components. Load testing was conducted using JMeter to set performance benchmarks for critical business functionalities within the Kubernetes-based cloud environment. To ensure continuous monitoring, end-to-end performance tracking was implemented using DataDog and MongoDB Atlas. Microservices performance was closely observed through DataDog to identify and resolve performance issues effectively.
To optimize the cloud-hosted applications, appropriate infrastructure resource configurations and data volume adjustments were recommended. During the process, high response times for the Create Alert API were detected, impacting overall application performance. After optimizing the business logic, a significant improvement in response times was achieved. Additionally, SLA violations in response times for incident-related user actions were identified, leading to ongoing bug fixes. The MongoDB profiler was utilized to analyze operations with high execution times, and recommendations were provided for further optimization.
To ensure long-term efficiency, continuous performance enhancements were introduced, maintaining high application availability and stability.
IMPACT
The solution resulted in 100% application availability, ensuring seamless and uninterrupted performance. There was a 16% effort savings per person per month due to reusable components. Over 40 performance issues were identified and resolved, enhancing system efficiency. The overall performance of the application improved by 93%, optimizing response times and application stability.
AT A GLANCE
CHALLENGE
The client struggled with performance bottlenecks in their cloud-hosted microservices and databases. Continuous monitoring was needed to ensure SLA compliance, and optimizing resource utilization was critical for cost and efficiency.
IMPACT
The implemented solution led to 100% application availability, 16% effort savings, a 93% improvement in performance, and the resolution of over 40 performance issues.
By leveraging a robust performance engineering approach, the security industry client significantly improved application availability, response times, and scalability, ensuring a high-performing cloud-based solution.
