MLOps Technologies
Link | Comments |
---|---|
Docker | Containers: Virtualization To Deliver Software In Packages |
Kubernetes | Production-Grade Container Orchestration |
KEDA | Kubernetes Event-driven Autoscaling |
kOps | Kubernetes Operations |
Kustomize | Kubernetes Native Configuration Management |
Skaffold | Local Kubernetes Development |
Helm | The Package Manager for Kubernetes |
Prometheus | Monitoring and Alerting Toolkit |
Grafana | Query, Visualize, Alert On And Understand Your Metrics |
Terraform | Automate Infrastructure on Any Cloud |
RabbitMQ | Message Broker |
Metabase | Client Dashboarding |
ElasticSearch | Log management: ingest, analysis, and reporting |
Logstash | Dynamically ingest, transform, and ship data |
Kibana | Visualization tool for ELK |
W&B | Experiment Tracking, Dataset Versioning, and Model Management |
MLFlow | An open source platform for the ML lifecycle |
Ray | Unified Framework for Scaling AI and Python Applications |
Jenkins | Automation Server to Support Building, Deploying and Automating Any Project. |
GitHub Actions | Automate Software Workflow with CI/CD |
DVC | Version Control System for ML Projects |
Pre-commit | Managing and Maintaining Multi-Language Pre-commit Hooks. |
MLOps Reading
MLOps Watching
Link | Source | Comments |
---|---|---|
A Chat with Andrew Ng on MLOps: From Model-centric to Data-centric AI | YouTube | Andrew Ng |
A Practical Guide to MLOps | DataCamp | Noah Gift |
MLOps Masterclass: Theory to DevOps to Cloud-native to AutoML | YouTube | Noah Gift |
MLOps - Machine Learning Operations | YouTube | 16 videos |