Performance Engineering as a Service
Outcome-based delivery by aabee.tech
Performance Consulting
Performance consulting includes consulting services on ensuring and optimizing system performance, from requirements definition to developing improvement recommendations.
Providing the client with complete information about the work process, stages, and expected results
Defining goals and non-functional requirements for the system or application, including SLAs for response time and throughput
Analyzing existing load testing processes and identifying areas for improvement in observability and monitoring
Presenting the results of analysis and testing, discussing findings and optimization recommendations
Defining and formulating tasks based on requirements and recommendations for further system improvement and scalability
Implementing and configuring monitoring tools (Grafana, Prometheus) to track key system performance metrics
Configuring data collection, logging, and distributed tracing for further root-cause analysis
Performing detailed system profiling as needed to identify latency bottlenecks and causes of production issues
Collecting performance (load) testing iteration results for further analysis and trend reporting
Performance Monitoring
Performance monitoring provides continuous visibility into system health using observability tools like Grafana, Prometheus, and OpenTelemetry — tracking latency, throughput, and error rates in real time.
Monitoring Stack
Performance (Load) Testing
In the Service as a Software model, our performance engineering covers the full lifecycle — from test design and script development with JMeter, Gatling, and k6, to executing load, stress, and endurance tests. We deliver findings and optimization recommendations as outcomes, so your team can focus on acting on results rather than operating testing tools.
Performance Test Design
Structured creation and planning of load, stress, and endurance tests to evaluate system response time, throughput, and scalability under realistic conditions.
Performance Test Development (SDET)
Development of test scripts and custom tooling using JMeter, Gatling, or k6, integrated into your CI/CD pipeline for continuous performance validation.
Performance (Load) Testing Iteration
Executing load, stress, and spike tests to assess system performance, determine capacity limits, and identify bottlenecks before they impact users.
What sequence of actions do we propose?
We discuss your system, business goals, and performance concerns to understand the scope and identify quick wins for reducing latency and improving throughput.
We define non-functional requirements, SLAs for response time and scalability, and load profiles based on your production data and growth projections.
We review your architecture, monitoring and observability setup, and deployment pipeline to spot bottlenecks before any testing begins.
We design realistic load scenarios, build test scripts with JMeter, Gatling, or k6, create mock services, and integrate into your CI/CD pipeline.
We run load, stress, endurance, and spike tests — collecting granular metrics across application, database, and infrastructure layers to measure response time and throughput.
We analyze results, identify root causes of bottlenecks, provide actionable optimization recommendations, and assist in implementing fixes.
We deliver a comprehensive report with findings, Grafana dashboards, and documentation so your team can sustain performance monitoring long-term.
Ready to get performance outcomes?
Get in touch with our team to discuss how we can deliver performance engineering results for your systems.