BI-optimal, Software performance testing

BOOST SCALABILITY FOR PEAK TRAFFIC

Ensure your web applications can handle high traffic volumes with ease. At BI-optimal, we simulate real-world usage to guarantee stability and reliability, even during peak loads.

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OPTIMIZE YOUR APPLICATION PERFORMANCE

At BI-optimal, we specialize in enhancing the performance of your web and mobile applications. Improve user satisfaction with our expert testing solutions.

REDUCE DOWNTIME WITH PROACTIVE TESTING

Minimize interruptions and maintain optimal performance. Our performance testing solutions identify potential bottlenecks before they affect your users, ensuring smooth operation 24/7.

BI-optimal provides comprehensive IT load testing services to keep your systems and applications stable and efficient

Discover the Advantages of Our Testing Services

Expert Team Analysis

Our skilled engineers provide in-depth analysis to ensure your applications perform at their best, identifying and resolving potential bottlenecks.

Real-Time Insights

Gain real-time insights into your application's performance with advanced testing tools, allowing for immediate improvements and optimizations.

Enhanced User Experience

Ensure a seamless user experience with our performance testing services, designed to keep your applications running smoothly and efficiently.

Capacity Planning

Prepare for the future with our testing strategies that enhance your app's capacity to handle growth, even under intense usage.

When you need to perform comprehensive performance testing of your IT-systems?

Web Application Load Testing

Our load testing service ensures your web applications can handle high traffic without compromising performance.

Application Stress Testing

We simulate extreme conditions to test the resilience of your mobile applications, ensuring reliability under stress.

Performance Optimization Consulting

Our experts provide tailored strategies to optimize application performance, enhancing user experience and efficiency.

Infrastructure Capacity Testing

We assess your infrastructure's capacity to support application demands, ensuring seamless scalability and stability.

Work process Step by step

Step 1: Requirements analysis

Perform a detailed analysis of the application and business requirements.

Step 2: Tests planning and customization

Create a load test plan and configure the environment.

Step 3: Tests and emulator development

Create custom scenarios to simulate real-world conditions.

Step 4: Running tests and collecting metrics

Run tests, analyze performance metrics (response time, resource usage, etc.).

Step 5: Analysis and recommendations

Provide a report with identified problems and an improvement plan.

Types of performance metrics

Response Time – Time taken for a server to respond to a request.
Average Latency – Time delay between the request and the first response.
Time to First Byte (TTFB) – Time taken for the first byte of data to reach the client.
Network Latency Analysis– Impact of latency on application performance.
Read/Write Operation Latency – Time delay in read and write operations.
Backend Response Efficiency – Response time from backend services.
API Gateway Performance – Latency and throughput of API gateways.
File Upload Latency – Time taken to handle large file uploads.

Throughput – Number of requests processed per second.
Transaction Per Second (TPS) – Number of transactions processed per second.
Maximum Concurrent Users – Highest number of users the application can handle simultaneously.
Traffic Spike Handling – Ability to handle sudden surges in traffic.
API Rate Limiting Behavior – Impact of API rate limits on performance.
System Stability – Long-term stability under constant load.

Server Resource Utilization – Usage of CPU, memory, and disk during load.
CPU Usage by Thread Count – CPU utilization based on the number of active threads.
Peak Memory Usage – Maximum memory consumption during load.
Disk I/O Performance – Disk input/output under load.
Network Bandwidth Utilization – Amount of bandwidth used by the application.
Connection Pool Saturation – How connection pooling affects performance.
Resource Pool Utilization – Usage of pooled resources like database connections.

Error Rate – Percentage of failed requests under load.
Error Handling Under Load – How the system manages error responses when stressed.
System Recovery Time – Time taken for the system to recover post-failure.
Rate of Timeout Errors – Frequency and causes of timeout errors.

Database Query Performance – Response time of database queries.
Database Locking Behavior – Frequency and impact of database locks.
Database Sharding Impact – Performance with distributed databases.
Long-running Query Impact – Effect of slow database queries on system.
Concurrent File Access – Handling simultaneous file requests.

Caching Efficiency – Performance improvement from caching.
Static Resource Load Efficiency – Performance in loading static files.
Image Optimization Efficiency – Speed and resource usage for image processing.
File Upload Latency – Efficiency and time required for uploading files.

Load Balancer Efficiency – Effectiveness in distributing traffic across servers.
Multi-location Load Handling – Performance across different geographic locations.
Queue Time – Time requests spend waiting in a queue.
Request Queue Size – Number of requests waiting to be processed.
Pagination Performance – Efficiency in paginated data responses.

Third-party API Impact – Effect of third-party integrations on performance.
Service Rate Limiting Impact – Effectiveness of service-level rate limiting.
Firewall Configuration Impact – Effect of security configurations on speed.

Asynchronous Task Performance – Speed and reliability of async processes.
Background Job Performance – Impact of scheduled tasks on load.
Batch Processing Efficiency – Speed of batch tasks and bulk operations.

Page Load Time – Time taken to fully load web pages.
Dynamic Content Load Time – Time taken to load dynamic content.
Front-end Component Load Testing – Impact on browser-rendered components.
Form Submission Reliability – Reliability of form handling at scale.

Logging Overhead – Impact of extensive logging on application speed.
Request Retries – Impact of retry mechanisms on performance.
Request Throttling Effectiveness – Control over requests during heavy load.

Header Size Impact – Effect of large request/response headers.
API Versioning Performance – Impact of multiple API versions.
SMTP Performance for Email Notifications – Email sending speed and reliability.

SOLUTION EXAMPLES

E-commerce

...During Black Friday, we expect traffic to increase to 5,000 users at one time. With load testing we can see if the site can handle this amount of traffic and whether it will have an impact on the speed of processing more than 1,000 orders per hour...

Financial services

...Online banking at its peak, up to 100 transactions per second. With load testing, you can ensure that the system is stable even if the number of users increases by 200%...

Tourism and reservations

...With the start of the summer season, the number of bookings on the site may increase to 5,000 per day. With load testing, you can ensure that the site can handle the increase in traffic without losing capacity by requesting up to 200 simultaneous transactions...

Healthcare

...During vaccination campaigns, the health portal schedules up to 10,000 visits per day. Load testing ensures that the system is able to handle up to 1000 concurrent users...