https://github.com/ngendah/fintech-labs
A fintech project portfolio featuring IaC, LLM agents, low-latency high-load micro-services.
https://github.com/ngendah/fintech-labs
agents aws docker docker-compose grafana kubernetes llm nodejs reactjs terraform
Last synced: 3 months ago
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A fintech project portfolio featuring IaC, LLM agents, low-latency high-load micro-services.
- Host: GitHub
- URL: https://github.com/ngendah/fintech-labs
- Owner: ngendah
- License: apache-2.0
- Created: 2025-07-18T08:14:52.000Z (11 months ago)
- Default Branch: master
- Last Pushed: 2025-11-15T13:09:14.000Z (7 months ago)
- Last Synced: 2025-11-15T15:09:16.793Z (7 months ago)
- Topics: agents, aws, docker, docker-compose, grafana, kubernetes, llm, nodejs, reactjs, terraform
- Language: TypeScript
- Homepage:
- Size: 1.39 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# FinTech Labs
Some real-world fintech cloud-native applications.
---
### 1. [Infrastructure as Code (IaC)](./terraform-infra/)
This lab demonstrates how to provisions a secure and scalable AWS infrastructure for an application.
### 2. [LLM financial assistant](./financial-assistant/)
This application is a financial data explorer that uses an LLM agent to retrieve and analyze financial performance for **Safaricom Ltd** and **Equity Bank** from **2021 to 2024**.
### 3. [Automated savings service](./savings-automaton/)
This application demonstrates how to design and implement, with best-practises, an automated recurring savings API with Bank Integration (Equity Bank).
### 4. [A low-latency, high-load resilient micro-service](./e-ticketing/)
This application demonstrates how to design and implement a low-latency, high-load resilient micro-service application and how to load-test the design using Grafana - k6.
### 5. [Fraud Detection data pipeline](./fraud-detection/)
This application demonstrates how to craft a data pipeline that trains a fraud-detection model and applies to applies it to incoming transaction data.
### 6. [Monitoring & alerts for cloud apps](./ops-monitoring/)
This lab demonstrates how to craft an application monitoring stack with cloud-observability tools Prometheus and Grafana.