US telecom order system
From 20,000 to 130,000 orders in 15 minutes after a three-year performance testing and tuning effort. New product launches no longer cause problems.
Read the case studyPerformance testing and tuning before your users find the bottleneck
We profile applications and infrastructure, design and run load tests, and fix what breaks, whether that is code, the JVM, database queries or the architecture. Our lead performance engineer has spent 12+ years running performance teams for telecom, insurance and enterprise releases.
When teams call us about performance
- A go-live date is fixed and the performance tests aren’t done.
- The system slows down or throws errors once many users are active.
- Reports or batch jobs take hours or days.
- More hardware was added and it didn’t help.
- You need evidence that a release meets its SLA.
What we do
- Full-stack performance analysis
- Diagnostics, debugging and profiling across backend, frontend and infrastructure, delivered as a Performance Analysis Report.
- Load testing and optimisation
- We design and run performance tests end to end, find the bottlenecks and fix them or recommend architectural changes.
- Test automation
- Performance tests in your pipeline, so regressions are caught before a release instead of in production.
- Telemetry and observability
- Metrics for test runs and infrastructure health, so you can see what the system is doing under load in real time.
- Database tuning
- Queries, indexing and provisioning. For a national healthcare system, report generation went from days to minutes.
How an engagement runs
Goals and baseline
We agree on the user journeys, workloads and SLA targets that matter and measure where you are today.
Analysis
Profiling and diagnostics from the OS to the application layer to find the real bottleneck, not the suspected one.
Load tests
Realistic tests that reproduce production load, with telemetry to show where it breaks.
Fix and re-test
Code, configuration, database or architecture changes, each verified with a new test run.
Keep it fast
Automated performance tests and monitoring so the next release doesn’t undo the work.
Technology we work with
Platforms
- AWS
- Google Cloud
- Azure
- Hetzner
- Bare metal
- Private cloud
- On-premises
Infrastructure
- Linux
- Windows
- Kubernetes
- Docker
- Helm
- CI/CD
Languages
- Java
- Node.js
- Python
- Rust
- Go
Load testing and profiling
- JMeter
- k6
- Gatling
- LoadRunner
- MAT
- YourKit
- JProfiler
- AppDynamics
- New Relic
- yCrash
Related case studies
Estonian healthcare system
A severe multi-user bottleneck found close to a critical go-live. The application architecture was redesigned and the launch avoided a delay.
Read the case studyNational healthcare reporting
Reports that took days to generate now take minutes, after database and SQL optimisation.
Read the case studyNational post self-service
Degradation under multi-user load traced to a bug in Spring’s cache management. We reimplemented the affected class and the system went live without compromises.
Read the case studyTelecom go-live testing
Go-live three months out, performance tests unfinished. We wrote and ran them within a month, scaled the infrastructure and surfaced critical external dependencies.
Read the case studyQuestions buyers ask us
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JMeter, k6, Gatling and LoadRunner, chosen to fit your stack and team. For profiling and diagnostics we use tools such as YourKit, JProfiler, Eclipse MAT, AppDynamics, New Relic and yCrash.
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Yes. On one telecom project go-live was three months out and the performance tests weren’t finished; we wrote and executed them within a month, scaled the infrastructure and surfaced critical external dependencies. For a German e-documents platform launching in a month, our testing found and addressed issues across the stack and the schedule held.
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Both. For a national post’s self-service system, degradation under load came from a bug in Spring’s cache management; we reimplemented the affected class and the system went live without performance compromises.
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Java, Node.js, Python, Rust and Go applications on Linux or Windows, in Kubernetes or Docker, on AWS, Google Cloud, Azure, private cloud or on-premises. Oracle and SQL tuning and JVM profiling are core skills of the team.
Tell us about your setup
Describe what you run and what isn’t working: the cloud bill, response times, releases or recurring incidents. We reply by email with a suggested first step, usually a short call or an audit.
Prefer email? Write to info@bigbadbyte.com. Prefer to talk? Schedule a call.