High load systems

Ensure the stability, performance, and maintainability of your IT system under high load.

Design and implement a high-capacity and defect-tolerant architecture for your software ecosystem
Learn how your software handles increasingly high numbers of users and eliminate performance bottlenecks
Monitor your system performance and get comprehensive reports
Automate performance testing and engage it on a regular basis

Services for improving system performance

High load system implementation

Capacity planning
Performance evaluation of the cloud environment
Load simulation
Improvement recommendations
Post-implementation re-evaluation
Reporting and visualization

All-around performance testing

Load testing
High-volume transaction testing
Varying stress testing
Scalability testing
Endurance testing
Crash testing
End-to-end and custom testing scenarios

End-to-end performance optimization

Analysis of performance bottlenecks with improvement recommendations
Implementation of best-suited strategies and tech stack for top performance
Re-evaluation of system performance

System performance monitoring

Visualization of detailed performance statistics via capacity dashboards
Client-side statistics like response time, HPS, throughput
Server-side statistics like CPU and memory usage, I/O and network usage

Tools for performance testing and monitoring

Performing various load testing operations

Jmeter
wrk/wrk2
k6
Gatling

Collecting, aggregating, analyzing, visualizing, and monitoring time series data

Grafana
InfluxDB
Amazon CloudWatch
Google Cloud Operations
Telegraf
New Relic

Custom performance testing solutions

Load testing scripts
Load emulators

We use many more tools for performance testing and monitoring than those listed above. Contact us to learn what else we have to offer.

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Approach to building high load systems

System performance audit
Load testing
Bottleneck discovery
Performance engineering strategy
List of possible improvements
Capacity planning
System performance optimization
Infrastructure changes
Architecture updates
System performance re-evaluation
Regular performance tests and monitoring
Further system support and upgrades

High load system case studies

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IoT network management platform

Performance engineering and testing
Transition planning to a SaaS model
Status monitoring functionality
Issue investigation and resolution

See full case study

Delivery and logistics product ecosystem

Ecosystem of six apps on web, iOS, and Android
Microservices architecture to handle high loads
Parallel development and testing of system elements

See full case study

Transition to the microservices architecture

Architecture reengineering for quicker system updates
Adding functions without affecting system modules
Diversity of system scaling and upgrading opportunities

See full case study

Build a reliable and high-performing software system

Implement a fault-tolerant architecture built on the principles of security, scalability, and modularity.

Some insights into performance testing and optimization

API performance and load testing

Discover load testing tools and methodologies to optimize your software product and development cycle.

Monitoring the performance of your Go app

Learn whether you need to refactor your application by constantly monitoring the performance of your Golang software.

Cloud migration strategies

See how to achieve quality software via proper cloud migration and discover a step-by-step migration guide.