# Konduit Serving

## CN master

- [Introduction](https://serving.konduit.ai/0.1.0-snapshot/master.md): Konduit Serving is a serving system and framework focused on deploying machine learning pipelines to production.
- [Quickstart](https://serving.konduit.ai/0.1.0-snapshot/quickstart.md)
- [Pip package](https://serving.konduit.ai/0.1.0-snapshot/quickstart/pip-package.md)
- [Command line interface (CLI)](https://serving.konduit.ai/0.1.0-snapshot/quickstart/quickstart-cli.md): A brief overview of konduit-serving command line interface.
- [Python SDK](https://serving.konduit.ai/0.1.0-snapshot/quickstart/quickstart-python.md)
- [Installation](https://serving.konduit.ai/0.1.0-snapshot/installation.md)
- [Building from source](https://serving.konduit.ai/0.1.0-snapshot/building-from-source.md)
- [YAML configurations](https://serving.konduit.ai/0.1.0-snapshot/yaml-configurations.md): Konduit Serving supports specifying server configurations as YAML files. This allows you to serve simple server configurations using the Konduit Python CLI and the konduit.load module.
- [Python](https://serving.konduit.ai/0.1.0-snapshot/examples/python.md)
- [TensorFlow (1.x)](https://serving.konduit.ai/0.1.0-snapshot/examples/python/tensorflow-model-serving.md)
- [MNIST](https://serving.konduit.ai/0.1.0-snapshot/examples/python/tensorflow-model-serving/tf-mnist.md): This notebook illustrates a simple client-server interaction to perform inference on a TensorFlow model using the Python SDK for Konduit Serving.
- [BERT](https://serving.konduit.ai/0.1.0-snapshot/examples/python/tensorflow-model-serving/tf-bert.md): This notebook illustrates a simple client-server interaction to perform inference on a TensorFlow model using the Python SDK for Konduit Serving.
- [Deeplearning4j (DL4J)](https://serving.konduit.ai/0.1.0-snapshot/examples/python/dl4j.md): This page illustrates a simple client-server interaction to perform inference on a DL4J image classification model using the Python SDK for Konduit Serving.
- [DataVec](https://serving.konduit.ai/0.1.0-snapshot/examples/python/datavec.md): Konduit Serving supports data transformations defined by the DataVec vectorization and ETL library.
- [Open Neural Network Exchange (ONNX)](https://serving.konduit.ai/0.1.0-snapshot/examples/python/onnx.md): This notebook provides an example of serving a model built in PyTorch with ONNX Runtime, a cross-platform, high performance scoring engine for machine learning models.
- [Keras (TensorFlow 2.0)](https://serving.konduit.ai/0.1.0-snapshot/examples/python/keras.md): This page illustrates a simple client-server interaction to perform inference on a Keras LSTM model using the Python SDK for Konduit Serving.
- [Java](https://serving.konduit.ai/0.1.0-snapshot/examples/java.md)
- [TensorFlow (2.x)](https://serving.konduit.ai/0.1.0-snapshot/examples/java/tensorflow-model-serving.md)
- [MNIST](https://serving.konduit.ai/0.1.0-snapshot/examples/java/tensorflow-model-serving/tf-mnist_java.md): This page illustrates a simple client-server interaction to perform inference on a TensorFlow model using the Java SDK for Konduit Serving.
- [BERT](https://serving.konduit.ai/0.1.0-snapshot/examples/java/tensorflow-model-serving/tf-bert_java.md): This page illustrates a simple client-server interaction to perform inference on a TensorFlow model using the Java SDK for Konduit Serving.
- [Deeplearning4j (DL4J)](https://serving.konduit.ai/0.1.0-snapshot/examples/java/dl4j_java.md): This document illustrates how to create Konduit Serving configurations with the Java SDK:
- [DataVec](https://serving.konduit.ai/0.1.0-snapshot/examples/java/datavec_java.md): Konduit Serving supports data transformations defined by the DataVec vectorization and ETL library.
- [Open Neural Network Exchange (ONNX)](https://serving.konduit.ai/0.1.0-snapshot/examples/java/onnx_java.md): This page provides a Java example of inferencing  a model, built in Python with ONNX Runtime, a cross-platform, high performance scoring engine for machine learning models.
- [Keras (TensorFlow 2.0)](https://serving.konduit.ai/0.1.0-snapshot/examples/java/keras_java.md): This page illustrates a simple client-server interaction to perform inference on a Keras LSTM model using the Java SDK for Konduit Serving.
- [Monitoring with Grafana](https://serving.konduit.ai/0.1.0-snapshot/model-monitoring/monitoring-grafana.md): Prometheus and Grafana can be used for displaying metrics to assist with troubleshooting production systems.
- [Data transformation pipeline steps](https://serving.konduit.ai/0.1.0-snapshot/steps/data-transformation-pipeline-steps.md)
- [Image loading pipeline steps](https://serving.konduit.ai/0.1.0-snapshot/steps/image-loading-pipeline-steps.md)
- [Python pipeline steps](https://serving.konduit.ai/0.1.0-snapshot/steps/python.md): You can integrate Python into a Konduit Serving instance by defining PythonConfig objects as steps to PythonPipelineStep.
- [Java pipeline steps](https://serving.konduit.ai/0.1.0-snapshot/steps/java-pipeline-steps.md): Implement your own PipelineStep via the CustomPipelineStep and associated PipelineStepRunner in Java.
- [Model pipeline steps](https://serving.konduit.ai/0.1.0-snapshot/steps/model.md)
- [Server](https://serving.konduit.ai/0.1.0-snapshot/server/inference.md): A Konduit Serving instance is configured by a Server object with a fully configured list of pipeline steps.
- [Python client configuration](https://serving.konduit.ai/0.1.0-snapshot/client/python-client.md): The Client class allows a client to obtain outputs from a Konduit Serving instance given a named set of inputs via the predict() method.

## EN master

- [Introduction](https://serving.konduit.ai/master.md): Konduit-Serving is a framework focused on deploying machine learning pipelines to production.
- [Components](https://serving.konduit.ai/components.md): Describes the components that make up Konduit-Serving
- [Quickstart](https://serving.konduit.ai/quickstart.md): Quickstart guide to start using Konduit-Serving
- [Using Docker](https://serving.konduit.ai/quickstart/using-docker.md): Guide to start using Konduit-Serving with Docker
- [Using Java SDK](https://serving.konduit.ai/quickstart/using-java-sdk.md): Guide to start using Konduit-Serving with Java SDK
- [Using Python SDK](https://serving.konduit.ai/quickstart/using-python-sdk.md)
- [Using CLI](https://serving.konduit.ai/quickstart/using-cli.md): Guide to start using Konduit-Serving with CLI
- [Building from source](https://serving.konduit.ai/building-from-source.md): Instructions for building Konduit-Serving binaries from source
- [Installing Binaries](https://serving.konduit.ai/installation.md): Instructions for installing and setting up built binaries
- [Configurations](https://serving.konduit.ai/configurations.md): Konduit-Serving supports defining server configurations as JSON or YAML files.
- [JSON](https://serving.konduit.ai/configurations/json.md): In JSON format
- [YAML](https://serving.konduit.ai/configurations/yaml.md): In YAML format
- [Java](https://serving.konduit.ai/examples/java.md): Example of Konduit-Serving with Java SDK
- [Server](https://serving.konduit.ai/examples/java/server.md): Simple example to deploy a server with Konduit-Serving
- [Pipeline Steps](https://serving.konduit.ai/examples/java/server/pipeline-steps.md)
- [Image To NDArray Step](https://serving.konduit.ai/examples/java/server/pipeline-steps/image-to-ndarray-step.md): As pre-processing step
- [Python Step](https://serving.konduit.ai/examples/java/server/pipeline-steps/python-step.md)
- [DL4J Step](https://serving.konduit.ai/examples/java/server/pipeline-steps/dl4j-step.md): Example of applying DL4J Step
- [Keras Step](https://serving.konduit.ai/examples/java/server/pipeline-steps/keras-step.md): Example of applying Keras Step
- [ONNX Step](https://serving.konduit.ai/examples/java/server/pipeline-steps/onnx-step.md): Example of applying ONNX Step
- [Tensorflow Step](https://serving.konduit.ai/examples/java/server/pipeline-steps/tensorflow-step.md): Example of applying Tensorflow Step
- [Sequence Pipeline](https://serving.konduit.ai/examples/java/server/sequence-pipeline.md): Example of sequence pipeline
- [Graph Pipeline](https://serving.konduit.ai/examples/java/server/graph-pipeline.md)
- [Client](https://serving.konduit.ai/examples/java/client.md)
- [Running Predictions](https://serving.konduit.ai/examples/java/client/running-predictions.md)
- [Inspecting a Server](https://serving.konduit.ai/examples/java/client/inspecting-a-server.md)
- [Python](https://serving.konduit.ai/examples/python.md)
- [Server](https://serving.konduit.ai/examples/python/server.md)
- [Pipeline Steps](https://serving.konduit.ai/examples/python/server/pipeline-steps.md)
- [Image To NDArray Step](https://serving.konduit.ai/examples/python/server/pipeline-steps/image-to-ndarray-step.md)
- [Python Step](https://serving.konduit.ai/examples/python/server/pipeline-steps/python-step.md)
- [DL4J Step](https://serving.konduit.ai/examples/python/server/pipeline-steps/dl4j-step.md)
- [Sequence Pipeline](https://serving.konduit.ai/examples/python/server/sequence-pipeline.md)
- [Graph Pipeline](https://serving.konduit.ai/examples/python/server/graph-pipeline.md)
- [Client](https://serving.konduit.ai/examples/python/client.md)
- [Running Predictions](https://serving.konduit.ai/examples/python/client/running-predictions.md)
- [Inspecting a Server](https://serving.konduit.ai/examples/python/client/inspecting-a-server.md)
- [IPython Notebook](https://serving.konduit.ai/examples/ipython-notebook.md)
- [Basic](https://serving.konduit.ai/examples/ipython-notebook/server.md): Simple example to demonstrate Konduit-Serving
- [ONNX](https://serving.konduit.ai/examples/ipython-notebook/onnx.md): Running classifier through CUSTOM endpoints
- [Pytorch (IRIS)](https://serving.konduit.ai/examples/ipython-notebook/onnx/onnx-pytorch-iris.md): Running and IRIS dataset classifier through CUSTOM endpoints
- [Pytorch (MNIST)](https://serving.konduit.ai/examples/ipython-notebook/onnx/onnx-pytorch-mnist.md): Running and MNIST dataset classifier through CUSTOM image endpoints
- [Keras](https://serving.konduit.ai/examples/ipython-notebook/keras.md): Example of Keras framework with CUSTOM endpoints
- [Tensorflow](https://serving.konduit.ai/examples/ipython-notebook/tensorflow.md): Example of Tensorflow framework with CUSTOM endpoints
- [DL4J](https://serving.konduit.ai/examples/ipython-notebook/dl4j.md): Example of DL4J framework with CUSTOM endpoints
- [CLI](https://serving.konduit.ai/examples/cli.md)
- [Use-Cases](https://serving.konduit.ai/examples/cli/use-cases.md)
- [Creating a Sequence Pipeline](https://serving.konduit.ai/examples/cli/use-cases/creating-a-sequence-pipeline.md): To create boilerplate configurations
- [Creating a Graph Pipeline](https://serving.konduit.ai/examples/cli/use-cases/creating-a-graph-pipeline.md)
- [Create Server URL with Inspection Queries](https://serving.konduit.ai/examples/cli/use-cases/create-server-url-with-inspection-queries.md)
- [Adding Extra Classpaths](https://serving.konduit.ai/examples/cli/use-cases/adding-extra-classpaths.md)
- [Multiple Instances of a Server](https://serving.konduit.ai/examples/cli/use-cases/multiple-instances-of-a-server.md)
- [Commands](https://serving.konduit.ai/examples/cli/commands.md)
- [Serve Command](https://serving.konduit.ai/examples/cli/commands/serve-command.md): Examples of CLI with serve command
- [Logs Command](https://serving.konduit.ai/examples/cli/commands/logs-command.md): Examples of CLI with logs command
- [Inspect Command](https://serving.konduit.ai/examples/cli/commands/inspect-command.md): Examples of CLI with inspect command
- [Profile Command](https://serving.konduit.ai/examples/cli/commands/profile-command.md)
- [Serving a BMI Model](https://serving.konduit.ai/how-to-guides/serving-a-bmi-model.md): Custom model in Konduit-Serving with HTML content
- [With HTML Content](https://serving.konduit.ai/how-to-guides/serving-a-bmi-model/with-html-content.md): Visualizing the deployment with HTML
- [Performing Object Detection](https://serving.konduit.ai/how-to-guides/performing-object-detection.md)
- [RPA Use-Case](https://serving.konduit.ai/how-to-guides/rpa-use-case.md)
- [Showing Metrics](https://serving.konduit.ai/how-to-guides/showing-metrics.md)
- [Prometheus](https://serving.konduit.ai/how-to-guides/showing-metrics/prometheus.md)
- [Grafana](https://serving.konduit.ai/how-to-guides/showing-metrics/grafana.md)
- [Pipeline Steps](https://serving.konduit.ai/references/pipeline-steps.md): Various type of steps is available in the Pipeline of Konduit-Serving.
- [IMAGE\_TO\_NDARRAY](https://serving.konduit.ai/references/pipeline-steps/image_to_ndarray.md)
- [IMAGE\_CROP](https://serving.konduit.ai/references/pipeline-steps/image_crop.md)
- [IMAGE\_RESIZE](https://serving.konduit.ai/references/pipeline-steps/image_resize.md)
- [DEEPLEARNINGL4J](https://serving.konduit.ai/references/pipeline-steps/dl4j.md)
- [KERAS](https://serving.konduit.ai/references/pipeline-steps/keras.md)
- [ND4JTENSORFLOW](https://serving.konduit.ai/references/pipeline-steps/nd4jtensorflow.md)
- [ONNX](https://serving.konduit.ai/references/pipeline-steps/onnx.md)
- [TENSORFLOW](https://serving.konduit.ai/references/pipeline-steps/tensorflow.md)
- [SAMEDIFF](https://serving.konduit.ai/references/pipeline-steps/samediff.md)
- [CLASSIFIER\_OUTPUT](https://serving.konduit.ai/references/pipeline-steps/classifier_output.md)
- [REGRESSION\_OUTPUT](https://serving.konduit.ai/references/pipeline-steps/regression_output.md)
- [LOGGING](https://serving.konduit.ai/references/pipeline-steps/python.md)
- [BOUNDING\_BOX\_FILTER](https://serving.konduit.ai/references/pipeline-steps/bounding_box_filter.md)
- [BOUNDING\_BOX\_TO\_POINT](https://serving.konduit.ai/references/pipeline-steps/bounding_box_to_point.md)
- [CROP\_GRID](https://serving.konduit.ai/references/pipeline-steps/crop_grid.md)
- [CROP\_FIXED\_GRID](https://serving.konduit.ai/references/pipeline-steps/crop_fixed_grid.md)
- [DRAW\_BOUNDING\_BOX](https://serving.konduit.ai/references/pipeline-steps/draw_bounding_box.md)
- [DRAW\_FACE\_KEY\_POINT](https://serving.konduit.ai/references/pipeline-steps/draw_face_key_point.md)
- [DRAW\_GRID](https://serving.konduit.ai/references/pipeline-steps/draw_grid.md)
- [DRAW\_FIXED\_GRID](https://serving.konduit.ai/references/pipeline-steps/draw_fixed_grid.md)
- [DRAW\_HEATMAP](https://serving.konduit.ai/references/pipeline-steps/draw_heatmap.md)
- [DRAW\_POINTS](https://serving.konduit.ai/references/pipeline-steps/draw_points.md)
- [DRAW\_SEGMENTATION](https://serving.konduit.ai/references/pipeline-steps/draw_segmentation.md)
- [EXTRACT\_BOUNDING\_BOX](https://serving.konduit.ai/references/pipeline-steps/extract_bounding_box.md)
- [SSD\_TO\_BBOX](https://serving.konduit.ai/references/pipeline-steps/ssd_to_bounding_box.md)
- [YOLO\_BBOX](https://serving.konduit.ai/references/pipeline-steps/yolo_to_bounding_box.md)
- [RELATIVE\_TO\_ABSOLUTE](https://serving.konduit.ai/references/pipeline-steps/relative_to_absolute.md)
- [SHOW\_IMAGE](https://serving.konduit.ai/references/pipeline-steps/show_image.md)
- [FRAME\_CAPTURE](https://serving.konduit.ai/references/pipeline-steps/camera_frame_capture.md)
- [VIDEO\_CAPTURE](https://serving.konduit.ai/references/pipeline-steps/video_frame_capture.md)
- [PERSPECTIVE\_TRANSFORM](https://serving.konduit.ai/references/pipeline-steps/perspective_transform.md)
- [Inference Configuration](https://serving.konduit.ai/references/inference-configuration.md)
- [MQTT Configuration](https://serving.konduit.ai/references/inference-configuration/mqtt-configuration.md)
- [KAFKA Configuration](https://serving.konduit.ai/references/inference-configuration/kafka-configuration.md)
- [CLI Commands](https://serving.konduit.ai/references/cli-commands.md)
- [Serve Command](https://serving.konduit.ai/references/cli-commands/serve-command.md)
- [Logs Command](https://serving.konduit.ai/references/cli-commands/logs-command.md)
- [Inspect Command](https://serving.konduit.ai/references/cli-commands/inspect-command.md)
- [Pythonpaths Command](https://serving.konduit.ai/references/cli-commands/pythonpaths-command.md)
- [Build Command](https://serving.konduit.ai/references/cli-commands/build-command.md)
- [Config Command](https://serving.konduit.ai/references/cli-commands/config-command.md)
- [Predict Command](https://serving.konduit.ai/references/cli-commands/predict-command.md)
- [Profile Command](https://serving.konduit.ai/references/cli-commands/profile-command.md)
- [Version 0.1.0](https://serving.konduit.ai/change-logs/version-0.1.0.md)
- [Contribution Guidelines](https://serving.konduit.ai/contribution-guidelines.md)