Archives: 2023

2023

10

27

Our RAG prototype, born in a Jupyter Notebook, worked. It could ingest documents, embed them, and answer questions with

2023-10-27 MLOps

Kubernetes AWS Lambda Weaviate Jupyter Google Cloud CircleCI Terraform

27

The analytics team’s daily reports were consistently late. Our legacy ETL process, a collection of batch scripts running

2023-10-27 Data Engineering

CDC Spring Boot Software Engineering & Architecture Kafka Debezium ClickHouse Data Warehouse

27

The observability blind spot for non-HTTP traffic within a service mesh is a recurring production challenge. Our platfor

2023-10-27 Observability

Go Kubernetes Grafana Memcached Prometheus Linkerd

27

Our PyTorch model deployment pipeline was functional but carried a significant security liability. It relied on a long-l

2023-10-27 DevSecOps

MLOps Security Azure Jenkins PyTorch JWT

27

The operational friction in our machine learning lifecycle was becoming untenable. Our data science teams were either pi

2023-10-27 MLOps

Kubernetes Crossplane MongoDB Platform Engineering IaC MLflow

27

Our MLOps platform hit a wall. The core problem was feature engineering. Batch ETL jobs running nightly were too slow fo

2023-10-27 MLOps

Kotlin Consul Real-Time Feature Store Terraform Pulsar Kubeflow