51eshare's Tech Blog
This site is dedicated to sharing IT-related technologies.
Architecting a Real-Time Audio Feature Extraction Service with WebRTC SciPy and Cassandra Architecting a Real-Time Audio Feature Extraction Service with WebRTC SciPy and Cassandra
The core technical challenge was to build a server-authoritative analysis pipeline for thousands of concurrent WebRTC au
2023-10-27 Real-Time Systems
SciPy Python WebRTC Docker Cassandra aiortc
Constructing a Real-Time Anomaly Detection Pipeline with a MyBatis Data Source, TensorFlow Inference, and a JWT-Secured Gatsby Frontend Constructing a Real-Time Anomaly Detection Pipeline with a MyBatis Data Source, TensorFlow Inference, and a JWT-Secured Gatsby Frontend
Our core transaction processing system began exhibiting a pattern of intermittent, silent failures. Traditional monitori
2023-10-27 Architecture
MyBatis TensorFlow Material-UI JWT Gatsby
Implementing L7-Aware Multi-Tenancy for MLflow Using Cilium and a Relay-Powered GraphQL Gateway Implementing L7-Aware Multi-Tenancy for MLflow Using Cilium and a Relay-Powered GraphQL Gateway
Our centralized MLflow Tracking Server became a victim of its own success. Initially a tool for a small data science tea
2023-10-27 Cloud Native
Relay Kubernetes GraphQL MLflow Cilium eBPF
Dynamic Secret Injection for Serverless Functions via GitLab CI and Vault with Front-End State Reflection Using Valtio Dynamic Secret Injection for Serverless Functions via GitLab CI and Vault with Front-End State Reflection Using Valtio
The technical pain point was sharp and recurring: managing credentials for a fleet of serverless functions. Storing long
2023-10-27 DevSecOps
Serverless GitLab CI/CD HashiCorp Vault GitHub Valtio
Implementing Registry-Driven Canary Deployments for Serverless ML Models with APISIX and MLflow Implementing Registry-Driven Canary Deployments for Serverless ML Models with APISIX and MLflow
Our machine learning model deployment pipeline was brittle. Every time a data scientist trained a superior model, promot
2023-10-27 MLOps
NestJS APISIX etcd MLflow Google Cloud Functions
Constructing a Secure and Cache-Optimized Container Build Pipeline Using Buildah and Vitest on Alibaba Cloud Constructing a Secure and Cache-Optimized Container Build Pipeline Using Buildah and Vitest on Alibaba Cloud
The transition from a simple Docker-in-Docker CI setup to a production-grade, secure software factory is fraught with no
2023-10-27 Cloud Native
CI/CD Alibaba Cloud Vitest Buildah DevSecOps Container
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