A digital transformation solution that automates and streamlines healthcare operations, from telemedicine to billing and record management.
Hire Load/Performance Tester
Simplify Load/Performance Tester with Our Experienced Team
High-traffic events and rapid deployment cycles place immense strain on digital infrastructure, where even minor latency can lead to significant revenue loss. Our load performance engineers move beyond basic load testing to provide deep-tier observability and automated regression safeguards.
Our software performance testers save you from:
- Application outages during peak traffic events cost revenue
- Response time degradation that is invisible until users complain
- The lack of visibility into which infrastructure layer is the bottleneck
- Undetected performance regressions introduced by new deployments
What do they do?
Execute realistic peak-load scenarios that simulate your highest-traffic events
Establish response time baselines, run continuous performance regressions, and alert engineering teams
Integrate performance test execution with Grafana, InfluxDB, Datadog, and New Relic
Build automated performance regression suites integrated into your deployment pipeline
Managed Talent. Engineered for Accountability.
Dedicated Full-Time Engineers
FTEs only No freelancers or gig marketplace.
Experienced Talent
Vetted Experts Rapid Deployment
Managed Operations
Senior oversight Time & Task Monitoring
Workflow-Ready Integration
Jira Slack GitHub Teams
Global Overlap
All Time Zones 24/7 Support
Security
ISO 27001 & CMMI3 NDA & IP Secure
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Our Services
Comprehensive Load/Performance Testing Services
Work with a Dedicated Team for End-to-End Load/Performance Testing
Performance Test Strategy & Workload Modeling
Our software performance testers analyze your application architecture, user journey analytics, peak traffic patterns, and infrastructure topology to design a realistic performance test strategy. We define test objectives, workload models that reflect real user behavior, performance SLAs by journey type, and a monitoring integration approach. This ensures every performance test run produces actionable data rather than synthetic results that do not represent production conditions.
Load Testing
Our mobile and web load testers design and execute load tests that simulate your expected peak concurrent user volumes across all critical application workflows. We use tools like JMeter, k6, and Gatling, validating throughput, response times, error rates, and infrastructure resource utilization. This is done across all defined user levels to confirm that your system meets its performance SLAs under the traffic volumes you plan for. We also provide evidence-based capacity recommendations for infrastructure sizing decisions.
Stress Testing & Breaking Point Analysis
Hire load/performance testers to push your application beyond its expected load ceiling to identify the point at which it fails and how it fails. Our stress tests progressively increase user concurrency until the system degrades or fails. This reveals the exact throughput ceiling, the failure mode (graceful degradation vs. hard crash), and the recovery behavior when load returns to normal. We use this data to refine both your infrastructure scaling strategy and incident response runbooks.
Spike & Endurance (Soak) Testing
Spike testing simulates sudden traffic surges (flash sales, viral marketing moments, etc) to verify that your system can withstand load increases without cascading failures. Hire software performance testers for soak testing runs that retain load for extended periods (8–72 hours). This is done to detect slow memory leaks, connection pool exhaustion, file handle accumulation, and gradual performance degradation that only manifests after hours of continuous operation.
API Performance & Throughput Testing
Our web and mobile app performance testers run API-specific tests using tools such as Bruno, Katalon Studio, and JMeter. We script realistic API call patterns that model the request volumes, concurrency levels, and data payloads of your production traffic. Our API performance testing also identifies endpoint-level throughput limits, slow database queries triggered by specific API paths, third-party dependency timeout cascades, and rate limiting behavior. This provides per-endpoint performance baselines and bottleneck prioritization for your back-end engineering team.
Database Performance Testing
Database performance bottlenecks are the most common root cause of application slowdown under load. Hire load/performance testers to instrument database-layer metrics during load test execution, capturing slow query logs, execution plans, lock wait times, and connection pool utilization. This provides specific, actionable recommendations for query optimization and indexing.
CI/CD Performance Regression Testing
Our software performance testers build automated performance regression suites integrated into your CI/CD pipeline, using k6 scripts (via GitHub Actions/ Jenkins) on every build. We validate that response times, error rates, and throughput meet defined SLA thresholds before any deployment proceeds to staging or production. Our experts also set up automated baseline comparison and alerting to ensure that regressions introduced by new code are caught at the commit level, not in production.
Performance Monitoring & Observability Integration
Effective performance testing requires correlated infrastructure observability, not just load generation. Our mobile and web load testers integrate test execution with tools like Grafana dashboards, InfluxDB time-series metrics, Datadog APM, New Relic, and Prometheus. This provides real-time visibility into CPU, memory, JVM heap, database connection pools, and cache hit rates during every test run. With our performance testing services, you can easily turn your raw KPIs into a complete infrastructure health narrative.
Your Solutions, Our Test Intelligence
Our performance/load testers deliver solutions that pass the real-world test. Start hiring from our global pool.
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Load/Performance Testing Specializations
Performance testing is not a one-size-fits-all process. The actual bottlenecks of a globally distributed cloud platform differ significantly from the concurrency limits of a REST API or the local resource consumption of a mobile application.
This is why, with our load/performance testing services, you get expertise across a diverse spectrum of product categories.
Web Applications & eCommerce Platforms
Our web application load testing experts simulate thousands of concurrent users to identify breaking points in navigation flows, checkout processes, and high-traffic landing pages.
- Front-end Performance: Measuring Time to First Byte (TTFB) and full-page render times across different browsers.
- State Management: Validating session persistence and server-side memory usage under heavy concurrent load.
- Integration Stability: Assessing the performance impact of third-party APIs like payment gateways and CRM syncs.
Cloud-Native Ecosystems & SaaS
Performance testing for mobile applications or web solutions in the cloud requires validating auto-scaling policies and resource orchestration to ensure cost-efficiency during traffic spikes.
- Elasticity Validation: Testing whether cloud instances scale up and down correctly based on predefined threshold triggers.
- Inter-region Latency: Benchmarking application responsiveness across different geographical availability zones and CDNs.
- Microservices Overhead: Measuring communication latency and data consistency between containerized services under stress.
Mobile Applications (iOS & Android)
Beyond back-end responsiveness, our mobile app performance testing experts evaluate how the application behaves on physical devices under varied network and hardware conditions.
- Device Resource Profiling: Monitoring CPU cycles, memory leakage, and battery drain during intensive app usage.
- Network Throttling: Simulating high-latency 3G, 4G, and 5G environments to test data-sync resilience and packet loss handling.
- Interrupt Testing: Evaluating performance stability when the application is interrupted by system calls, notifications, or low battery alerts.
APIs & Microservices
Individual endpoints are often the root cause of systemic failure; our API and integration testing experts conduct isolated load tests on REST, GraphQL, and gRPC/tRPC architectures.
- Throughput Benchmarking: Measuring Transactions Per Second (TPS) and Requests Per Second (RPS) to find the absolute breaking point.
- Payload Stress: Testing how the system handles large JSON or XML data transfers without triggering timeouts or memory overflows.
- Auth Protocol Overhead: Quantifying the performance cost of security layers such as OAuth2, JWT validation, and mutual TLS.
Databases & Data Warehouses
Our load/performance testers identify slow-running queries and indexing issues that cause application-level bottlenecks before they reach production.
- Concurrency Limits: Determining the maximum number of simultaneous read/write operations before transaction locking occurs.
- Data Volume Scalability: Assessing how query execution time degrades as the database grows from gigabytes to terabytes.
- Deadlock Analysis: Identifying contention points in complex transaction logic and stored procedures under heavy load.
Enterprise Software (ERP & CRM)
High-stakes internal systems like SAP, Salesforce, or custom-built ERPs require rigorous testing to prevent productivity-killing downtime.
- Batch Processing Load: Testing system stability during heavy end-of-month data reconciliations and bulk data imports.
- Peak Usage Simulation: Modeling "Monday morning" scenarios where the entire global workforce authenticates and accesses data simultaneously.
- Workflow Latency: Measuring the end-to-end response time for complex, multi-step business processes under sustained load.
Tech Stack
- Load Generation JMeter Locust k6 Gatling Taurus
- Cloud-Scale Testing BlazeMeter Flood.io Akamai CloudTest
- Mobile Performance Appium Firebase Test Lab AWS Device Farm
- API & Microservices Postman Tavern Karate SoapUI
- Database Profiling SolarWinds DPA Redgate Quest Foglight
- APM & Monitoring New Relic Dynatrace Datadog AppDynamics
- Continuous Testing Jenkins GitLab CI CircleCI Azure DevOps
- Network Simulation Charles Proxy Wireshark WANem
- Log Analysis ELK Stack (Elasticsearch, Logstash, Kibana) Splunk
Frequently Asked Questions
Hire Load/Performance Testers: FAQs
Hiring dedicated performance testers from SunTec India is significantly more cost-effective than engaging local performance testing consultants. Our engagement costs vary based on the testing scope, required tool expertise (JMeter, k6, Gatling, Locust), number of engineers, and engagement duration. We recommend a brief discovery call to give you an idea.
Once you finalize the software performance testers from our shared list, we can handle all the formalities to onboard them to your team within a few business days.
Load testing validates that your application meets its performance SLAs at expected peak concurrent user volumes. Stress testing pushes the system beyond its expected load to find its breaking point and understand how it fails. And soak testing runs sustained load over extended periods (hours to days) to detect remaining bottlenecks.
Root cause identification requires correlated test execution and infrastructure observability, not just response time numbers. Our software performance testers integrate test execution with your monitoring stack to capture CPU, memory, cache hit rates, and network I/O during every test run. This allows us to correlate response time spikes with the specific infrastructure layer causing the degradation.
We offer three engagement models.
- The Dedicated Team Model: Full-time software performance testers exclusively assigned to your product.
- The Time and Material Model: Ad-hoc web and mobile app testing expertise billed on actual hours
- The Fixed-Price Model: Performance testing engagements designed for well-scoped deliverables.
Yes. CI/CD-integrated performance regression testing is one of our core service offerings. Our mobile and web app testing experts build automated test suites that integrate with your existing Jenkins, GitHub Actions, GitLab CI, or Azure DevOps pipelines. We configure automated test triggers on every release candidate build, define SLA thresholds, and publish results to Grafana dashboards and Slack/Teams notifications.