Automated Continuous Testing at Your Fingertips
Continuous testing is pivotal for modern software development, yet it presents several intricate challenges that can derail your testing strategy, from limited time and skill diversity, to test data complexity and environment availability.
Organizations need the right continuous testing tool to accelerate their digital transformation, all while reducing costs, mitigating risks, and improving end-user satisfaction.
With BlazeMeter’s continuous testing platform, organizations can test in an agile way that is tailored to your timelines, requirements, and workflows — all with a reliable testing infrastructure.
Why BlazeMeter for Your Continuous Testing Platform?
Using BlazeMeter in tandem with Perfecto, teams can seamlessly generate and execute tests for web, mobile, and packaged apps, which reduces setup time and helps teams easily transition from planning to action. Ensure comprehensive coverage without extending timelines, enabling teams to focus more on new features and accelerate time-to-market.
From scriptless testing support to testing from your IDE, command line, or UI, BlazeMeter’s continuous testing platform supports it all. With BlazeMeter, you can craft tests manually, utilize recordings, or leverage AI for precision and efficiency.
With BlazeMeter’s service virtualization, you can test what you can’t in production with a virtual environment. Access cloud-based or on-prem environments whenever needed with global coverage, and scale up or down based on your testing requirements to ensure you only use what you need.
Utilize advanced data management techniques such as on-the-fly data anonymization to protect sensitive information to maintain the highest standards of security and privacy. With BlazeMeter teams can also enhance test data with generative AI, boosting system resilience with Chaos Testing and streamlining the process of data generation.
With BlazeMeter’s automated continuous testing platform, organizations can implement testing in both earlier and later stages of development to ensure software robustness. Continuously monitor performance in production to catch and resolve issues swiftly, and reuse API tests from preproduction to minimize rework.
What BlazeMeter Customers Have to Say
Discover how leading enterprises in e-commerce, finance, and healthcare are leveraging BlazeMeter’s continuous testing platform.
Learn More About BlazeMeter’s Continuous Testing Platform
Request a custom demo to get the full scope of BlazeMeter’s automated continuous testing capabilities in conjunction with Perfecto and the Perforce application testing suite.
FAQ
Continuous testing is the practice of automating tests throughout the software development lifecycle (SDLC) to provide real-time feedback on code quality. It integrates directly into CI/CD pipelines, enabling teams to detect and resolve issues early, ensuring faster, more reliable releases. For decision-makers, this means reduced risk, faster time-to-market, and improved software quality. For practitioners, it means streamlined workflows and fewer manual interventions.
Continuous testing eliminates manual bottlenecks by automating repetitive tasks, enabling parallel test execution, and integrating with tools like Jenkins, GitLab, and CircleCI. This reduces testing time, accelerates feedback loops, and ensures consistent coverage—even as applications grow. For decision-makers, this translates to lower operational costs and faster delivery cycles. For practitioners, it means more time to focus on innovation rather than repetitive testing tasks.
Continuous testing significantly improves ROI by catching defects early in the SDLC, reducing the cost of fixes, and minimizing manual testing efforts. By accelerating release cycles, teams can deliver features to market faster, driving revenue growth. For decision-makers, this means higher-quality software with lower costs. For practitioners, it means more efficient testing processes and fewer post-release fire drills.
BlazeMeter’s platform offers seamless CI/CD integration, scalable test execution, and real-time analytics, making it a top choice for both decision-makers and practitioners. Decision-makers benefit from faster time-to-market, reduced testing costs, and improved software quality. Practitioners appreciate its ease of use, support for performance, API, and functional testing, and ability to simulate real-world scenarios at scale.
Yes, BlazeMeter is designed to scale with your team’s needs, from small teams to large enterprises. For smaller teams, it offers flexible pricing, easy onboarding, and robust support, making it an ideal choice for adopting continuous testing without heavy upfront investment. For enterprises, BlazeMeter provides enterprise-grade scalability, advanced security features, and seamless integration with complex CI/CD ecosystems. Decision-makers benefit from predictable costs and scalability, while practitioners enjoy a user-friendly platform that grows with their needs.
BlazeMeter ensures reliability and accuracy through real-time analytics, detailed reporting, and robust error detection. Its advanced scripting and parameterization capabilities allow teams to simulate real-world scenarios with precision. For decision-makers, this means confidence in test results and reduced risk of production issues. For practitioners, it means actionable insights and fewer false positives.
BlazeMeter provides comprehensive documentation, tutorials, professional services, and a dedicated customer success team to help teams succeed. We also offer BlazeMeter University, a Learning Management System (LMS) with a wide range of courses designed to help users master continuous testing and maximize the value of our platform. For decision-makers, this means minimized downtime and faster ROI. For practitioners, it means access to expert guidance, best practices, and hands-on training.
BlazeMeter is committed to leveraging AI and machine learning to transform continuous testing. Our vision is to use AI to automate test creation, optimize test execution, and proactively identify potential issues before they impact production. By integrating AI into our platform, we aim to help teams achieve smarter testing workflows, reduce manual effort, and deliver higher-quality software faster. For decision-makers, this means reduced risk and accelerated time-to-market. For practitioners, it means more efficient testing processes and actionable insights to improve software quality.