BaseLine11: Automated Testing Saas

See how we created a SaaS solution that eliminates infrastructure complexity in load testing, enabling teams to run distributed performance tests across multiple regions within minutes instead of hours.

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Introduction

BaseLine11

BaseLine11 is a cloud-based performance testing platform built to make load testing straightforward for development teams. When applications need to handle thousands of users simultaneously, testing becomes essential but complicated. Traditional approaches demand expensive server setups, deep JMeter knowledge, and countless hours configuring distributed test environments. BaseLine11 cuts through this complexity with a simple process: users upload their JMeter test scripts (.jmx files), select their target regions, and click run. The platform automatically provisions load agents across locations like Asia Pacific (Mumbai), executes tests in parallel, and collects performance data all without requiring teams to manage servers or debug configuration issues.

Real-time dashboards show what matters most: response times, throughput rates, error percentages, and how many users the system can actually handle. Teams watch their applications perform under realistic load conditions from multiple geographic regions at once, spotting problems as they happen rather than discovering them in production. Load agents spin up only when needed and shut down immediately after tests finish, so there's no wasted infrastructure sitting idle between test runs. This approach keeps costs predictable while giving teams the same testing capabilities that previously required dedicated performance engineering teams and significant hardware investments. BaseLine11 makes thorough performance testing practical for any organization that needs to ensure their applications stay fast and stable under real-world traffic conditions.

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The Challenge

Building BaseLine11 required solving complex technical problems to deliver a seamless load testing experience. The main challenge was creating a scalable system that could manage distributed load agents across regions while keeping costs low and performance high for all users.

Key Challenges:

  • Dynamic Resource Management: Automatically provisioning and terminating load agents (m5d.xlarge instances) across AWS regions on-demand while maintaining cost efficiency.

  • Real-Time Data Processing: Aggregating thousands of performance metrics per second from distributed agents and displaying them instantly through interactive dashboards.

  • Multi-Tenant Security: Ensuring complete isolation between concurrent customer tests on shared infrastructure to protect data and maintain accurate results.

Challenge

Our Approach

We tackled BaseLine11's development by breaking down the complex load testing workflow into manageable components, focusing on automation, scalability, and user experience. Our strategy centered on leveraging cloud infrastructure intelligently while building intuitive interfaces that hide technical complexity from end-users.

Cloud-Native Architecture

Cloud-Native Architecture

We built BaseLine11 on AWS infrastructure to ensure global reach and elastic scalability. The platform uses containerized load agents that spin up within minutes in regions like Asia Pacific (Mumbai), allowing tests to run closer to actual users and mirror real-world traffic patterns better than traditional setups.

Automated Test Orchestration

Automated Test Orchestration

We eliminated manual configuration work by building an orchestration layer that handles everything automatically. Users simply upload their JMX file, and the platform distributes it across load agents, synchronizes execution, and collects results without any manual intervention required.

Real-Time Analytics Dashboard

Real-Time Analytics Dashboard

We designed comprehensive dashboards that present performance data clearly. Metrics like response times (485.33ms average), throughput (0.80 req/sec), and error rates (25%) update live as tests run, letting teams spot problems immediately rather than waiting for completion.

Simplified User Workflow

Simplified User Workflow

We reduced load testing to three steps: upload JMX file, configure parameters, and run the test. The platform validates scripts on upload, catching errors before execution. Post-test, users can view HTML reports, download combined outputs, or export raw data for deeper analysis.

Multi-Region Support

Multi-Region Support

We integrated load generation across multiple AWS regions to simulate geographically distributed users accurately. Tests can originate from Asia Pacific, Europe, North America, or multiple regions simultaneously, revealing how latency and routing affect different locations.

The Impact

BaseLine11 revolutionized performance testing by automating complex workflows and leveraging cloud infrastructure. The platform delivered significant improvements in speed, cost efficiency, and reliability for development teams.

75%

Setup time reduced from 20+ minutes to under 5 minutes with automated provisioning.

60%

Eliminated dedicated testing servers using on-demand agents.

4x

Real-time dashboards identify bottlenecks during execution instantly.

90%

Automated validation prevents configuration errors and test failures.

Working with Echovyn Labs transformed our vision for BaseLine11 into reality. They understood the complexity of distributed load testing and built a platform that's both powerful and incredibly easy to use. The automated infrastructure management and real-time dashboards have made performance testing accessible to our entire development team.

Sachin Patel | Founder

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