BlazeMeter
Finding it hard to balance speed, quality, and compliance requirements?
We pair BlazeMeter’s performance testing with automated synthetic and masked data provisioning—so your teams can test faster, safer, and at scale.
Want to amplify performance and data testing across environments?
Once integrated, these datasets areorchestrated into your CI/CD pipelines, andBlazeMeter runs automated tests againstthat data to catch issues before production.
Need to integrate across Jenkins, GitHub, and other ecosystems?
BlazeMeter sits at the heart of your DevOps pipeline to automate stress, regression, and performance testing across the workflows that already power your releases.
Unify performance validation and data management under one ecosystem.
Enterprises often face delivery delays when test data, environments, and testing tools operate in silos. Within the Perforce ecosystem, Delphix functions as the test data management layer, enabling secure, compliant, and production-like data on demand.
BlazeMeter serves as the continuous testing platform for performance, functional, and API testing. Together, they support an integrated CI/CD workflow that reduces bottlenecks, improves test accuracy, and accelerates releases from development through compliance.
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Key Capabilities
Unified Continuous Testing Platform
An integrated Perforce solution that brings together BlazeMeter for performance, functional, and API testing, service virtualization, and AI powered test data, with Delphix test data management, so teams can design, run, and validate end to end test coverage without switching tools.
Elastic, Global-Scale Performance Testing
Scale BlazeMeter load tests to over 2 million virtual users from global cloud locations, so engineering teams can assess reliability, user experience, and system behavior under real world traffic.
Zero-Refactor Execution with CI/CD Native Integration
Run existing JMeter and other open-source scripts without changes, and integrate BlazeMeter with CI/CD tools like Jenkins, GitLab CI, GitHub Actions, and Azure DevOps, so every commit can trigger automated tests and fast feedback.
AI-Driven Test Data and Environment Virtualization
Use AI powered synthetic test data and service virtualization to generate GDPR compliant, realistic datasets and virtual services that remove dependency bottlenecks, helping reduce environment related delays and keeping testing cycles predictable and efficient.
Our BlazeMeter Services
Performance Engineering and Load Testing
End-to-end performance, load, stress, and endurance testing for APIs, microservices, mobile, and web applications. Optimized for scalability across cloud, hybrid, and container environments.
Advanced test data–enabled performance validation
Test Data Intelligence to simulate real-world loads using compliant, production-like data. Synthetic data generation (greenfield) and masked production data provisioning (brownfield).
API and microservices performance optimization
Analyze API latency, concurrency issues, and service to service bottlenecks, with correlation to APM tools like Dynatrace, AppDynamics, and New Relic.
Automated end-to-end CI/CD pipeline orchestration
Embed BlazeMeter tests into Azure DevOps, GitHub, Jenkins, or GitLab pipelines with automated gating and version-controlled test assets.
Enterprise reporting and observability integration
Use BlazeMeter analytics dashboards and SLA based reports, and integrate BlazeMeter results with your existing monitoring and observability systems for visibility into performance under stress.
Implementation Framework
01
Assess current test maturity
02
Enable continuous test data provisioning
03
Integrate BlazeMeter with CI/CD and data virtualization
04
Automate performance and regression suites
05
Monitor, analyze, optimize
Industry Impact
Manufacturing
Challenge:
High-volume API performance
BlazeMeter + LevelShift Impact
Continuous test-data provisioning accelerates ERP validation
Financial Services
Challenge:
High-volume API and compliant transactions
BlazeMeter + LevelShift Impact
40% faster test cycles with compliant, parallelized runs
Technology
Challenge:
Rapid microservice releases
BlazeMeter + LevelShift Impact
CI/CD-driven performance suites cut latency and release bottlenecks
Healthcare
Challenge:
PHI-safe workflow validation
BlazeMeter + LevelShift Impact
Synthetic and masked datasets enable HIPAA-aligned testing
Retail
Challenge:
Peak-season traffic surges
BlazeMeter + LevelShift Impact
85% downtime reduction via continuous load testing
Why LevelShift
Expertise Across Data Lifecycle
25+ years delivering enterprise-scale solutions across applications, integrations, and data platforms - with deep expertise in QA transformation and test data automation.
Certified, Skilled Delivery Teams
50+ Perforce Delphix-certified specialists, 150+ Microsoft experts, and TDM engineers providing proven, hands-on product expertise for complex engagements.
Specialized, Focused TDM CoE
A focused, expert-led team of 5–6 specialists dedicated to TDM. Accelerators, patterns, and best practices designed to deliver faster ROI.
Global Talent with Industry Focus
Distributed delivery model with domain depth in Manufacturing, FinTech, Technology, Retail, Healthcare, and Real Estate - aligned to regulatory and performance needs.
FAQs
BlazeMeter unifies performance, functional, and API testing and monitoring, plus service virtualization and AI powered test data, on one platform. With Delphix test data orchestration, you validate performance using secure, production like data, so results reflect real user behavior.
Yes. BlazeMeter connects to Jenkins, Azure DevOps, GitHub, GitLab, and other leading CI/CD tools, so every commit can trigger automated tests and quality gates. Delphix automates test data refresh, so each run uses fresh, compliant data.
Delphix masks sensitive data, generates synthetic datasets, and enforces access controls. BlazeMeter uses synthetic or masked data for testing and keeps test traffic inside the customer’s security perimeter, so runs remain aligned with GDPR, HIPAA, and PII requirements.
Absolutely. BlazeMeter tests cloud native apps, on premises ERPs, and legacy systems through APIs, services, and user journeys, while Delphix brownfield workflows support legacy and hybrid data environments.