AI-Led Performance Testing & Engineering

Load tests in hours, not weeks.

Load, stress, and volume testing for SAP, Oracle, APIs, and UI. Scripting that used to take weeks is done in hours.

We test whether the system holds under a real workload. Scripting and the first pass of analysis are automated. Engineers spend the time on the bottleneck and the fix.

Performance failures are business failures. A slow month-end close in SAP, a checkout API that buckles under festive load, or a Fiori app that takes ten seconds to render — each one erodes revenue and trust.

We design and execute end-to-end load, stress, spike, soak, and volume tests using LoadRunner, JMeter, NeoLoad, k6, Gatling, and SAP-certified tooling, then translate results into engineering actions your teams can ship.

Tools we use

LoadRunner · JMeter · NeoLoad · k6 · Gatling · Taurus · Locust · BlazeMeter · Postman · Selenium · Dynatrace · ST12 / SAT

faster delivery cycles: 10–30×; faster delivery cycles
API automation turnaround: ≤ 2 hrs; API automation turnaround
SAP script automation: ≤ 4 hrs; SAP script automation

Discuss your use case

What we ensure

Stable performance during high-volume business cycles
Optimized database and ABAP layer utilization
Bottleneck identification through ST12, SAT, and Dynatrace integrations
KPI validation — Dialog Response Time, RFC Throughput, SAP GUI / UI5 latency
AI-assisted correlation, parameterization, and script validation
Shift-left execution inside Azure DevOps, Jenkins, and GitHub Actions pipelines

Capabilities under this practice

01
SAP Performance Engineering
ECC, S/4HANA, Fiori, BW, and integration layers (PI/PO, CPI, BTP) tested with SAP-certified tooling and deep ABAP-stack diagnostics.
02
Oracle Apps Performance Testing
E-Business Suite, Fusion Cloud, and PeopleSoft — concurrency and throughput across REST, SOAP, and GraphQL, proved under production-like load.
03
API Performance Testing
Continuous scalability assurance for microservices and integrations — tokenization, correlation, header management, SLA validation.
04
UI & End-User Performance
Real browser simulation with TruClient and Selenium; Core Web Vitals compliance (LCP, CLS, FID) and sub-2-second page loads.
05
Enterprise Applications Performance
Salesforce, ServiceNow, Workday, Infor, Ariba, SuccessFactors, and custom apps — workflow, integration, and throughput validation.
06
Performance Automation & CI/CD
Automated runs at build and release levels with baseline comparison, trend analytics, and dynamic threshold alerts.

What we test

SAP, Oracle, and other enterprise platforms
REST, SOAP, and GraphQL APIs
Web and mobile UI, including browser-level response times
Integration layers, batch jobs, and message queues

Test types

Load · Stress · Volume · Endurance (soak) · Spike · Capacity and scalability · Release regression

How the work actually changes

StepTraditionalWith DDAI

Script design: Traditional: Days to weeks; Hours, sometimes minutes
Correlation and parameterization: Traditional: Done by hand, then redone; Drafted by tooling, checked by an engineer
Workload analysis: Traditional: Repeated manual passes; First pass automated, then reviewed
What gets automated: Traditional: As much as possible; The scenarios that are worth the cost
Reporting: Traditional: A static document; The same numbers on a dashboard you can re-run