Performance Testing Overview
QA Programmer Performance Testing & Engineering teams have extensive experience in providing cutting-edge services to global clients. Our Performance Testing and Load Testing expertise spans a wide range of applications including client-server, web, distributed, mobile, cloud databases, high-volume transaction systems, and highly complex applications. QA Programmer Performance Center of Excellence (PCoE) provides end-to-end performance testing solutions to help our clients launch future-proof applications with high responsiveness, availability, and scalability.
QA Programmer website performance testing covers performance engineering, including capacity planning, baseline test, load, stress, endurance, and benchmarking against competitors, production monitoring, and consulting. Our key website performance testing differentiators include:
- Comprehensive analysis and recommendations for performance improvements
- Optimized cost model including pay as you go options
- Certified SME’s with strong expertise in Commercial off-the-shelf (COTS)/Open source tools and application technologies
- Partnerships and alliances that enable recommendations of the right tools, solutions, and R&D initiatives
Performance Testing Service Offerings
Load and performance testing is designed to simulate real-life load on any website or application. A comprehensive range of services makes our performance testing portfolio effective and the product/solution, efficient.
QA Programmer follows a process-oriented approach for the successful deployment of performance testing: In the assessment stage, the first step is getting the client’s sign-off on deliverables and involves:
Performance Testing Framework Features & Benefits
QA Programmer’s’ business-efficient performance engineering framework‘ plays a key role in performing end-to-end testing & engineering, while our ’analytics-driven workload modeler ‘ helps avoid all workload modeling hassles. We maintain a dedicated pool of resources with expertise on a wide range of tools, technology stacks, and processes.