Cloud-Based Distributed Load Generation
Scale test agents dynamically for large workloads.
Performance Testing as a Service (PTaaS) helps organisations validate application behaviour across load, stress, spike, endurance, scalability, and volume conditions—ensuring stability, reliability, and peak performance perform under expected and peak user loads—without managing infrastructure, tools, or test orchestration. Using Apache JMeter and Yotta’s scalable Yntraa Cloud environment, we simulate real-world workloads to assess performance, stability, responsiveness, and capacity.
Our service ensures your applications are production-ready, resilient, and optimized for user experience.
Scale test agents dynamically for large workloads.
Simulate device mix, geography mix, ramp-up patterns, and concurrency.
HTTP/S, REST APIs, WebSockets, JDBC, JMS, FTP, and more via JMeter plugins.
Real-time latency, throughput, error rates, CPU, memory, disk I/O metrics.
Summary reports, percentile charts, correlation analysis, bottleneck mapping.
Our performance engineers handle end-to-end execution.
We handle test design, script execution, scaling of test infrastructure, monitoring, and reporting—so your teams stay focused on development.
Generate thousands to millions of virtual users with cloud-scale test execution powered by Yntraa.
Identify bottlenecks in APIs, databases, backend systems, and network layers with detailed analytics.
Pay only for generated load and test duration. No expensive licensing or dedicated infrastructure required.
All tests run within Yotta’s MeitY-empaneled, Tier IV data centers ensuring data confidentiality and enterprise compliance.
Scripts, scenarios, and performance models can be reused for future releases and CI/CD pipelines.
Load Testing evaluates how an application performs under expected, steady-state user traffic. It measures responsiveness, throughput, concurrency handling, and stability by simulating real-world load patterns. The goal is to validate whether the system can handle projected usage levels without performance degradation.
Spike Testing measures system behavior and resilience when traffic suddenly increases or decreases dramatically. It helps identify bottlenecks, stability issues, and the system’s ability to recover after extreme, unexpected load spikes.
Stress Testing determines the system’s breaking point by pushing it beyond peak capacity. It identifies how and when the application fails, how it behaves under extreme resource exhaustion, and whether it fails gracefully and recovers safely.
Scalability Testing assesses how well a system scales when user load or data volume increases gradually. It validates linear scaling, auto-scaling behaviours, resource allocation efficiency, and the application's ability to maintain steady performance as demand grows.
Endurance Testing validates long-term stability by running sustained load for extended durations (hours or days). It detects issues like memory leaks, resource exhaustion, database degradation, and performance drift that only appear during long continuous usage.
Volume Testing determines application performance when subjected to very high data volumes — such as large datasets, big transactions, and heavy input/output operations. It ensures that storage, database queries, indexing, and data flows can handle expected and future data growth.
| Product Name | Product Description | UOM | MRC |
| Load Testing as a Service
A fully managed load testing service powered by Apache JMeter to validate application performance, reliability, and scalability under realistic traffic. |
What You Get
|
Per Instance (load Generator VM) |
₹ 25,000.00 / Instance / month |
Load Testing is available today. Spike, Stress, Endurance, Scalability, and Volume Testing will be added soon.
No. The entire testing process—setup, execution, monitoring, and reporting—is fully managed by Yotta using Apache JMeter.
Yes. We create, optimize, and maintain JMeter scripts.
Yes, we support API-based, web-based, and backend component load testing.
Yes. All tests run inside Yotta’s secured, MeitY-empaneled, Tier IV data centers.