Scalable backend with chat rooms deployed on Azure VM, Docker Compose Setup with Benchmark results using Grafana, k6
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Updated
Jul 14, 2026 - Python
Scalable backend with chat rooms deployed on Azure VM, Docker Compose Setup with Benchmark results using Grafana, k6
Finds bottlenecks in an Express app during load testing
Distributed token-bucket rate limiter in Go — Redis-backed, deployed across 3 Kubernetes replicas, load-tested to 25k+ req/s
A Spring Boot API gateway for shipment tracking with JWT authentication, Bucket4j rate limiting, Redis caching, Elasticsearch search, and Spring AI — featuring RAG-based natural language search, tool-calling chat assistant, and per-user PostgreSQL chat memory.
Research Methods and Group Project in Cloud Computing - CSC8113, Newcastle University
Self-healing AWS infrastructure 1000 concurrent users, 1268 req/s, 0% error rate. ALB + Auto Scaling + Terraform + GitHub Actions.
⚡ k6 performance testing suite for the Daily Finance & DemoQA BookStore APIs — an authenticated user-lookup flow with per-endpoint thresholds, plus a ramping 0→25 VU load test. Tagged requests, validation checks & auto-generated HTML reports. All thresholds passing ✅
Event-driven log processing pipeline that redacts sensitive data, detects critical failures, and guarantees fault-tolerant processing.
High-performance microservices e-commerce platform built with NestJS, RabbitMQ, PostgreSQL (Prisma), Terraform IaC, and Kubernetes (kubeadm) benchmarked to 500 VUs on AWS.
k6 + TypeScript performance tests for an HR app — end-to-end leave journey under load with per-endpoint SLA thresholds
background job queue system -Implementation of horizontal scaling
Este repositório reúne cenários de testes de performance construídos com K6 para validar comportamento, estabilidade e limites da Fake Store API sob diferentes condições de carga.
A high-throughput order ingestion system using Nginx, Docker, and Kafka to absorb massive traffic spikes and protect the database.
k6-based synthetic monitoring → streams metrics to InfluxDB, and visualizes results in Grafana
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