Performance Testing

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Meet the application performance demands of the digital world

AppsTek provides proactive performance engineering, testing, benchmarking, tuning, and profiling services. Benefits include reduced development rework due to performance objective failures, lower operational overhead costs, and minimized avoidable delays and errors.

Application Development

AppsTek’s Performance Engineering teams have extensive experience in providing cutting edge services to global clients. Our expertise spans across wide range of applications including client server, web, distributed, mobile, cloud databases, high volume transaction systems, and highly complex applications.

Performance Center of Excellence (CoE)

AppsTek’s Performance Centre of Excellence (PCoE) delivers end-to-end enterprise solutions enabling clients to launch future-proof applications that are responsive and scalable.

Performance engineering techniques include capacity planning, baseline test, load, stress, endurance and benchmarking against competitors, production monitoring and consulting.

  • Load Testing
  • Spike Testing
  • Endurance Testing
  • Configuration Testing
  • Stress Testing
  • Scalability Testing
  • Volume Testing
  • Availability & Failover Testing

Core Competencies


  • Full-cycle performance engineering services with on-demand performance analysts and architects
  • Performance of network, streaming, webservices, database and remote access applications
  • Tool agnostic approach leveraging open source and commercial tools
  • Custom performance tools with capabilities to perform stress load and scalability testing on applications irrespective of architecture
  • Performance nuances of different verticals such as BFSI, Retail, e-Learning, Utilities, etc.
  • Statistical analysis with actionable inferences and recommendations aligned with the defined performance objectives
  • Cloud enabled load generation for scalability and on-demand availability, Traffic generated from multiple locations, Access to large bandwidth pipe
  • User load and think time patterns incorporated, Leverage intelligence from various analytics to mimic production environment
  • Real-time insight into application key performance indicators