Revolutionising Software Testing with Mock Services

In the fast-paced world of energy trading, real-time transactions require a robust and fail-proof software ecosystem. However, testing such mission-critical systems presents a unique challenge—how do you validate trading algorithms, pricing mechanisms, and transaction flows without relying on live market data or production systems?

At Testend, we tackled this challenge head-on for a leading energy company by introducing a cutting-edge mock service infrastructure, enabling seamless and scalable local testing of their trading software.

The Challenge: Testing Without Disrupting the Market

Energy trading platforms process high-frequency transactions, fetching live market data, executing trades, and responding to price fluctuations in real-time. However, testing such an environment was becoming increasingly complex due to:

• Dependency on live market data: Developers and testers needed a stable yet dynamic environment to simulate fluctuating energy prices.

• Cost and security risks: Running tests directly against real-world trading APIs could result in unintended market impact and data security concerns.

• Limited test control: It was difficult to replicate edge cases and failure scenarios in a production-like setting without interfering with actual trades.

The need for an isolated, reproducible, and high-fidelity testing environment was clear. Our solution? A fully containerised mock energy trading service.

The Solution: A Fully Containerised Mock Trading Framework

We developed a Docker and Kubernetes-powered mock service that mimics real-time trading APIs, allowing engineers to run tests locally without relying on external data sources.

Key Features of Our Mock Energy Trading Service

✅ Real-Time Trade Simulation – The mock server accurately replicates the energy market's order matching, pricing algorithms, and trade execution logic.

✅ Scalable and On-Demand – Built with Docker and orchestrated via Kubernetes, our solution spins up multiple mock instances on-demand, handling concurrent test scenarios without overloading resources.

✅ Full Control Over Test Scenarios – Engineers can inject edge cases, simulate network failures, or create real-world trading anomalies, ensuring robust failure handling.

✅ Seamless Integration with Playwright – Using Playwright, we automated comprehensive end-to-end tests that interact with the mock API just as they would with the real trading system.

✅ CI/CD-Ready for Continuous Testing – The mock service is fully integrated into the client’s CI/CD pipeline, enabling automated regression tests with every code change.

The Impact: Transforming Energy Trading Software Testing

By implementing this mock trading environment, we enabled:

🔹 Faster Development Cycles – Engineers could now test new features, bug fixes, and optimisations without waiting for live market conditions.

🔹 Risk-Free Testing – No real-world financial transactions were executed, eliminating regulatory and operational risks.

🔹 Higher Test Coverage – Our solution allowed validation of complex trade scenarios, pricing variations, and failure cases that were previously difficult to replicate.

🔹 Scalability & Cost Efficiency – Running a controlled, containerised environment significantly reduced testing overhead and infrastructure costs.

🔹 Confidence in Releases – Every deployment was now backed by rigorous, automated testing, minimising post-release failures and enhancing software reliability.

Conclusion: A Game-Changer for Energy Tech

Through innovation and technical excellence, we transformed how this leading energy provider tests its trading software. The Docker-Kubernetes-Playwright trifecta revolutionised their testing approach, making local development more reliable, scalable, and production-representative.

At Testend, we thrive on solving complex software challenges with cutting-edge solutions. If you’re looking to optimise your testing infrastructure, reduce risk, and accelerate development cycles, let’s talk.

🚀 Reach out to us today and future-proof your testing strategy! 🚀