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AI & Architecture · 2026-09-07

Broker Agent – MCP Server Proof of Concept

Experimenting with MCP servers and multi-account investment data integration via a Claude Code agent—exploring the architecture, trade-offs, and privacy implications of chat-as-the-frontend.

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Observability · 2024-10-28

Dynatrace Custom Apps: Correlating Logs Across Distributed Layers

How to build a custom React app on Dynatrace AppEngine using DQL queries to trace transactions across decoupled booking and processing systems.

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Test Data · 2024-03-26

Synthetic Data Generation – Full Report

Executive summary comparing Day-Zero synthetic data generation approaches using Plaitpy and Synner for financial services capacity testing.

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Test Data · 2024-03-11

Synthetic Data Generation – Part 2: Visual Distribution Modelling with Synner

Using Synner to visually model and generate complex conditional transaction distributions for 1-year and 5-year FX futures volume testing.

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Test Data · 2024-02-29

Synthetic Data Generation – Part 1: Declarative YAML Data with Plaitpy

How to generate realistic Day-Zero financial transaction datasets for future capacity tests using declarative YAML templates and Plaitpy.

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Case Study · 2024-01-01

Case Study: Performance Testing in the Payment Industry

How we designed a custom Locust.io load testing and Python data-processing framework for a London payment processor—uncovering unexpected bottlenecks in weeks.

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Resources · 2023-07-26

Essential Performance Engineering Resources & Reading

Curated practical guides on formulating user-centric performance requirements, Linux systems performance, and enterprise application testing strategy.

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Tooling · 2022-10-31

Open-Source Load Testing: JMeter vs. Gatling vs. Locust.io

A practical side-by-side comparison of how quickly you can spin up a 100-user ramp-up test in Apache JMeter, Gatling, and Locust.io.

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Data Engineering · 2022-10-06

Data Reconciliation in Performance & Migration Testing

When optimising an End-of-Day batch or migrating systems, proving speed is only half the job—you also have to prove the output data hasn't changed.

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