51eshare's Tech Blog
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Architecture 35 Observability 23 Backend Development 17 Backend Architecture 15 Distributed Systems 33 Cloud Native 22 Software Architecture 15 Security 3 MLOps 17 Cloud Native & DevOps 1 DevOps 35 Data Engineering 41 Web Development 2 API Gateway 1 Mobile Development 3 Software Engineering & Architecture 1 Security Architecture 1 System Design 9 AI Engineering 2 Frontend Architecture 1 Platform Engineering 3 Build Tools 1 System Architecture 6 Real-Time Systems 1 Resilience Engineering 3 DevSecOps 1 MLOps Engineering 1 Cloud Native Security 1 Backend Engineering 2 Cloud Architecture 4 Full-Stack Development 2 Rust Engineering 1 Build Systems 1 Frontend Engineering 2 WebAssembly 1 Security Engineering 2 Cloud Security 1
Implementing a Polyglot ML Model Deployment Controller Using etcd as a Declarative State Store on Azure Implementing a Polyglot ML Model Deployment Controller Using etcd as a Declarative State Store on Azure
Our MLOps platform was fractured. The Python team deployed their Keras models via a collection of manually triggered Jen
2023-11-15 MLOps
DevOps Keras Azure etcd Go Rollup MLOps
Implementing a Dynamic MLOps Model Serving Gateway on GKE with GraphQL and Nacos Implementing a Dynamic MLOps Model Serving Gateway on GKE with GraphQL and Nacos
The operational friction in deploying machine learning models into production is a familiar pain point. A data science t
2023-10-27 MLOps
GraphQL Client Nacos MLOps GCP GKE Apollo Federation
Implementing an Observable and Continuously Deployed RAG Service on Azure Functions with Nginx and Fluentd Implementing an Observable and Continuously Deployed RAG Service on Azure Functions with Nginx and Fluentd
The initial RAG prototype was a monolithic Flask application running on a single VM. It worked for the demo, but product
2023-10-27 MLOps
Fluentd Nginx CircleCI Azure Functions LlamaIndex
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
Implementing a GitOps-Driven MLOps Pipeline for Dynamic Mobile Model Delivery with an ISR Status Frontend Served by Caddy Implementing a GitOps-Driven MLOps Pipeline for Dynamic Mobile Model Delivery with an ISR Status Frontend Served by Caddy
The feedback loop for updating on-device machine learning models is fundamentally broken in most mobile development cycl
2023-10-27 MLOps
GitOps MLOps CI/CD for Mobile Caddy ISR Next.js
Building a Distributed Keras Training System on Hadoop YARN for Terabyte-Scale Audio Emotion Analysis Building a Distributed Keras Training System on Hadoop YARN for Terabyte-Scale Audio Emotion Analysis
The prototype worked flawlessly. A Keras model, a convolutional recurrent neural network, was achieving respectable accu
2023-10-27 MLOps
Emotion Hadoop Keras PySpark YARN Distributed Training
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