Performance testing is critical for business success as it protects user experience and ensures systems meet expected load requirements, preventing slow performance, instability, or inability to handle user load from leading to lost revenue and user attrition.

Key principles for new teams include focusing on simple questions about system capacity, avoiding overcomplication, and aligning with business goals to ensure testing addresses core needs rather than purely technical metrics.

How To Test This?

interview episodes where Mamadou N’diaye talks with with software testing experts

• https://podcasters.spotify.com/pod/show/spidey1944
• https://www.youtube.com/@HowToTestThis
• https://www.linkedin.com/in/mamadou-ndiaye-consultant/

Episode Details

• Show Notes: https://podcasters.spotify.com/pod/show/spidey1944/episodes/How-to-test-Performance---Dmytro-Pozdniakov-e3fpreq
• Published: 2026-03-02T02:35:01Z
• Duration: 01:09:35
• Author: Mamadou N’diaye

Overview

The podcast emphasizes the essential role of performance testing in ensuring systems meet scalability, user experience, and business objectives, moving beyond the narrow focus of preventing crashes to maintaining functionality under expected load. It addresses a common misconception that equates performance testing solely with identifying system failures, stressing the importance of integrating performance considerations early in the design phase to prevent post-release complications. The discussion also highlights sector-specific challenges, such as regulatory constraints in banking and variations in tools across industries, underscoring the need for tailored approaches to performance testing.

Practical strategies for efficient testing, cross-team collaboration, and aligning performance metrics with business outcomes are explored, emphasizing the value of proactive planning and communication. The conversation further delves into future trends, including the increasing demand for external performance testing expertise, advancements in tools and methodologies, and the shift toward user-centric performance metrics. These developments are framed as critical for adapting to evolving technological landscapes and ensuring systems remain resilient and aligned with organizational goals.

Real-world impacts of effective performance testing are also highlighted, such as significant cost savings achieved through optimized system performance. The podcast underscores the broader implications of performance testing, not only in avoiding technical failures but also in enhancing user satisfaction, operational efficiency, and long-term business success. This perspective positions performance testing as a strategic component of system development rather than a reactive measure.

What If

• What if you decided to adopt a performance testing framework early in your product’s design phase instead of waiting for the development to be complete?

  • Concrete Move: Integrate dynamic testing using open-source tools like Apache JMeter or K6 during the prototyping stage to validate baseline performance.
  • Why Now: Early testing helps identify bottlenecks before they become costly to fix, aligns with the industry’s best practice of involving performance engineers during solution design, and reduces post-release failures.
  • Expected Upside: Faster iteration cycles, reduced rework costs, and better alignment of technical debt with business goals (e.g., ensuring internal APIs meet <100ms response time targets).

• What if you focused on optimizing user-facing performance metrics (like page load time) using real-world user data instead of generic benchmarks?

  • Concrete Move: Analyze usage patterns from your own product’s analytics (or a sample dataset) to simulate load scenarios that reflect actual user behavior, then adjust UI/UX elements (e.g., replacing dropdowns with searchable fields for large lists).
  • Why Now: The text emphasizes the real-world impact of slow systems (e.g., $300K/year in productivity loss) and the importance of user-centric metrics. This approach directly addresses usability failures like the clinic’s dropdown issue.
  • Expected Upside: Improved user retention (e.g., reducing page load times to <1.5 seconds), fewer support tickets, and a more intuitive interface that avoids compliance risks from poor data handling.

• What if you built your internal performance capabilities by outsourcing to external experts (like LTE) while gradually learning their methods and tools?

  • Concrete Move: Partner with an external performance testing team to run audits and receive reports, then use their findings to train yourself in tools like Grafana or New Relic for monitoring and observability.
  • Why Now: Small/medium teams often lack in-house expertise, and the text highlights the growing demand for external services. This bridges the gap between your current skill set and the evolving industry standards.
  • Expected Upside: Faster time-to-market for performance-critical features, reduced risk of catastrophic failures, and the ability to scale your teams performance testing skills without hiring full-time experts.

Takeaway

• Integrate performance testing early in design phases to avoid scalability issues, aligning with Dmitriys emphasis on involving performance engineers during solution design to identify bottlenecks before deployment.
• Prioritize user-centric performance metrics (e.g., sub-1-second response times for user-facing systems) to ensure systems meet business goals, as highlighted by the $300,000 productivity gain from reducing internal tool load times.
• Use open-source tools like Apache JMeter or K6 for dynamic testing, leveraging their community support and protocol compatibility, as recommended for cost-effective and scalable performance testing.
• Analyze data distribution for UI/UX design to avoid usability failures (e.g., replacing dropdowns with searchable fields for large datasets) and ensure features align with real-world constraints.
• Collaborate with cross-functional teams (developers, business analysts) to define performance goals and share ownership of system scalability, as emphasized by the need to avoid siloed performance tasks and ensure alignment with business outcomes.