Seldon Core 1
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  • Getting Started
    • Quick Start Guide
    • License
    • Installation
      • Install in Kubernetes
      • Install Locally
      • Install on Google Cloud
      • Install on Azure
      • Install on AWS
    • Community
  • Concepts
    • Overview of Components
  • Configuration
    • Installation Parameters
      • Helm Configurations
      • Usage Reporting
      • Change Log
      • Upgrading
    • Deployments
      • Deployment Techniques
      • Supported API Protocols
      • Testing Model Endpoints
      • Replica Scaling
      • Model Metadata
      • Budgeting Disruptions
      • Graph Deployment Options
      • AB Tests and Progerssive Rollouts
      • Troubleshooting Deployments
    • Servers
      • Custom Inference Servers
      • [Storage Initializers]
      • Prepackaged Model Servers
      • Inference Optimization
      • XGBoost Server
      • Triton Inference Server
      • SKLearn Server
      • Tempo Server
      • MLFlow Server
      • HuggingFace Server
      • TensorFlow Serving
    • Routing
      • Ingress with Istio
      • Using the Istio Service Mesh
      • Ambassador Ingress
      • OpenShift
      • Routers Including Multi armed Bandits
      • Infrence Graphs
    • Wrappers and SDKs
      • Python Language Wrapper
        • Install the Seldon Core Python module
        • Creating your Python inference class
        • Create imgae S2I
        • Create image with Dockerfile
        • Seldon Python server configuration
        • Calling the Seldon API with Seldon Python client
        • [Python API reference]
        • Development Tips
      • [Go Language Wrapper]
      • Java Language Wrapper
      • Nodejs Language Wrapper
      • C++ Language Wrapper
      • R Language Wrapper
    • Integrations
      • CI/CD MLOps at Scale
      • Payload Logging
      • Distributed Tracing with Jaeger
      • Batch Processing
      • Stream Processing with KNative
      • Metrics with Prometheus
      • Native Kafka Integration
      • Model Explanations
      • Outliner Detection
      • Drift Detection
  • Tutorials
    • Notebooks
      • Install Seldon Core
      • Install MinIO
      • Deploy a Scikit-learn Model Binary
      • Deploy a Tensorflow Exported Model
      • MLflow Pre-packaged Model Server A/B Test
      • MLflow Open Inference Protocol End to End Workflow
      • Deploy a XGBoost Model Binary
      • Deploy Pre-packaged Model Server with Cluster's MinIO
      • Custom Pre-packaged LightGBM Server
      • SKLearn Spacy NLP
      • SKLearn Iris Classifier
      • Sagemaker SKLearn Example
      • TFserving MNIST
      • Statsmodels Holt-Winter's time-series model
      • Runtime Metrics & Tags
      • Triton GPT2 Example
      • NVIDIA TensorRT MNIST
      • OpenVINO ImageNet
      • OpenVINO ImageNet Ensemble
      • Triton Examples
      • Kubeflow Seldon E2E Pipeline
      • H2O Java MoJo
      • Outlier Detection with Combiner
      • Stream Processing with KNative Eventing
      • Kafka CIFAR10
      • Kafka SpaCy SKlearn NLP
      • Kafka KEDA Autoscaling
      • CPP Wrapper Simple Single File
      • Advanced CPP Buildsystem Override
      • Environment Variables
      • AWS EKS Tensorflow Deep MNIST
      • Azure AKS Tensorflow Deep MNIST
      • GKE with GPU Tensorflow Deep MNIST
      • Alibaba Cloud Tensorflow Deep MNIST
      • Triton GPT2 Example Azure
      • Setup for Triton GPT2 Example Azure
      • Real Time Monitoring of Statistical Metrics
      • Model Explainer Example
      • Model Explainer Open Inference Protocol Example
      • Outlier Detection on CIFAR10
      • Training Outlier Detector for CIFAR10 with Poetry
      • Batch Processing with Argo Workflows and S3 / Minio
      • Batch Processing with Argo Workflows and HDFS
      • Batch Processing with Kubeflow Pipelines
      • Autoscaling Example
      • KEDA Autoscaling example
      • Request Payload Logging with ELK
      • Custom Metrics with Grafana & Prometheus
      • Distributed Tracing with Jaeger
      • CI / CD with Jenkins Classic
      • CI / CD with Jenkins X
      • Replica control
      • Example Helm Deployments
      • Max gRPC Message Size
      • Deploy Multiple Seldon Core Operators
      • Protocol Examples
      • Configurable timeouts
      • Custom Protobuf Data Example
      • Disruption Budgets Example
      • Istio AB Test
      • Ambassador AB Test
      • Seldon/Iter8 - Progressive AB Test with Single Seldon Deployment
      • Seldon/Iter8 - Progressive AB Test with Multiple Seldon Deployments
      • Chainer MNIST
      • Custom pre-processors with the Open Inference Protocol
      • Graph Examples
      • Ambassador Canary
      • Ambassador Shadow
      • Ambassador Headers
      • Istio Examples
      • Istio Canary
      • Patch Volumes for Version 1.2.0 Upgrade
      • Service Orchestrator Overhead
      • Tensorflow Benchmark
      • Argo Workflows Benchmarking
      • Python Serialization Cost Benchmark
      • KMP_AFFINITY Benchmarking Example
      • Kafka Payload Logging
      • RClone Storage Initializer - testing new secret format
      • RClone Storage Initializer - upgrading your cluster (AWS S3 / MinIO)
  • Reference
    • Annotation Based Configuration
    • Benchmarking
    • General Availability
    • Helm Charts
    • Images
    • Logging and Log Level
    • Private Docker Registry
    • Prediction APIs
      • Open Inference Protocol
        • REST
          • Health
          • Inference
          • Metadata
          • Models
        • gRPC
      • Scalar Value Types
      • Microservice API
      • External API
      • Prediction Proto Buffer Spec
      • Prediction Open API Spec
        • Seldon Core External via Ambassador
          • External Ambassador API
          • Models
        • Seldon Core Internal microservice API
          • Internal
          • Models
    • Release Highlights
      • Release 1.7.0 Hightlights
      • Release 1.6.0 Hightlights
      • Release 1.5.0 Hightlights
      • Release 1.1.0 Hightlights
      • Release 1.0.0 Hightlights
      • Release 0.4.1 Hightlights
      • Release 0.4.0 Hightlights
      • Release 0.3.0 Hightlights
      • Release 0.2.7 Hightlights
      • Release 0.2.6 Hightlights
      • Release 0.2.5 Hightlights
      • Release 0.2.3 Hightlights
    • Seldon Deployment CRD
    • Service Orchestrator
    • Kubeflow
    • Archived Docs
  • Contributing
    • Overview
    • Seldon Core Licensing
    • End to End Tests
    • Roadmap
    • Build using Private Repo
    • Seldon Docs Home
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Release Highlights

Release 1.7.0 HightlightsRelease 1.6.0 HightlightsRelease 1.5.0 HightlightsRelease 1.1.0 HightlightsRelease 1.0.0 HightlightsRelease 0.4.1 HightlightsRelease 0.4.0 HightlightsRelease 0.3.0 HightlightsRelease 0.2.7 HightlightsRelease 0.2.6 HightlightsRelease 0.2.5 HightlightsRelease 0.2.3 Hightlights
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