Archives: 2023/11

2023

11

15

The mandate was seemingly straightforward: build an event-driven data enrichment pipeline. A new Google Cloud Function w

2023-11-15 Cloud Native

Kubernetes esbuild Google Cloud Functions Istio GKE

15

The initial proof-of-concept for our document ingestion pipeline was deceptively simple. An Azure Function, triggered by

2023-11-15 Cloud Architecture

gRPC-Go Pulumi LLM Azure Functions Qdrant

15

The initial attempt to build our embeddable RAG (Retrieval-Augmented Generation) engine within a Java desktop applicatio

2023-11-15 Data Engineering

LevelDB ChromaDB RAG Java SQLite JPA

15

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

15

The core requirement was clear: build a real-time ingestion pipeline for a Retrieval-Augmented Generation (RAG) system.

2023-11-15 Cloud Native

Microservices Security Kafka ChromaDB RAG Istio

15

The reliability of our CI analytics pipeline was degrading. We were collecting performance metrics from our Vitest test

2023-11-15 DevOps

CI/CD Vitest ACID Jenkins InfluxDB Time Series Groovy