Jaehyeon Kim
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  3. Development

Distributed Task Queue with Python and R Example

Distributed Task Queue with Python and R Example
November 15, 20199 min read DevelopmentFastAPIPythonRRServe

A FastAPI web service dispatches tasks to Celery and RServe workers, with Redis as broker and store, running on Docker Compose and Kubernetes.

Read More: Distributed Task Queue with Python and R Example

Linux Dev Environment on Windows

Linux Dev Environment on Windows
November 1, 201913 min read DevelopmentDockerKubernetesMinikubePythonRWSL

Build a Linux development environment on Windows with WSL, then run an RServe web service with a sidecar container on Minikube as the example app.

Read More: Linux Dev Environment on Windows

AWS Local Development with LocalStack

AWS Local Development with LocalStack
July 20, 20197 min read DevelopmentAWSAWS LambdaDockerFlaskLocalStackPython

Develop and test AWS applications against LocalStack, a mocking framework that runs AWS services on a local machine, demonstrated with a web service.

Read More: AWS Local Development with LocalStack

Cronicle Multi Server Setup

Cronicle Multi Server Setup
July 19, 20196 min read DevelopmentCronicleDocker

Cronicle is a multi-server task scheduler and runner. In this post, multi-server configuration of Cronicle will be demonstrated with Docker and Nginx as load balancer.

Read More: Cronicle Multi Server Setup

Shiny to Vue.js

Shiny to Vue.js
May 26, 201811 min read DevelopmentJavaScriptRR ShinyVue.js

Render htmlwidgets inside a Vue.js application, then replace those widgets with native JavaScript libraries for performance async Shiny cannot reach.

Read More: Shiny to Vue.js

Async Shiny and Its Limitation

Async Shiny and Its Limitation
May 19, 201813 min read DevelopmentJavaScriptRR ShinyRServe

Implement the async feature of R Shiny and find its limits, measured against an alternative app with a JavaScript frontend and an RServe backend.

Read More: Async Shiny and Its Limitation

API Development with R Part 2

API Development with R Part 2
November 19, 20176 min read Development API Development With RDockerPlumberRRApacheRServe

Deploy plumber, RServe and rApache APIs in Docker containers, then compare the three R API options on example requests and response performance.

Read More: API Development with R Part 2

API Development with R Part 1

API Development with R Part 1
November 18, 20178 min read Development API Development With RDockerPlumberRRApacheRServe

Serve an R function as an API three ways, with plumber, RServe and rApache, and see what each option asks of the developer to set up.

Read More: API Development with R Part 1

Serverless Data Product POC Backend Part 4 - Serving R ML Model via S3

Serverless Data Product POC Backend Part 4 - Serving R ML Model via S3
April 17, 201710 min read Development Serverless Data ProductAmazon API GatewayAWSAWS LambdaPythonR

Host the web application that calls an R machine learning model on Amazon S3, so both the front end and the Lambda backend run without a server.

Read More: Serverless Data Product POC Backend Part 4 - Serving R ML Model via S3

Serverless Data Product POC Backend Part 3 - Exposing R ML Model via APIG

Serverless Data Product POC Backend Part 3 - Exposing R ML Model via APIG
April 13, 201711 min read Development Serverless Data ProductAmazon API GatewayAWSAWS LambdaPythonR

Expose an R machine learning model packaged in AWS Lambda through Amazon API Gateway, giving the model a callable HTTP endpoint on AWS.

Read More: Serverless Data Product POC Backend Part 3 - Exposing R ML Model via APIG
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Profile
Jaehyeon Kim
Jaehyeon Kim
Data Engineer | Data Streaming | Powering ML & AI in Real Time
Taxonomies
Data Streaming 70 Data Engineering 38 Development 28 Data Analysis 17 Data Integration 12 Open Source 7 Kubernetes 6 Machine Learning 5 Security 5 Data Architecture 3 Data Processing 3 Big Data 2 System Architecture 2 Web Development 2
Python 75 Apache Kafka 68 AWS 50 Docker 50 Apache Flink 34 Apache Beam 17 Apache Spark 16 Kafka Connect 15 Amazon MSK 14 AWS Lambda 14 dbt 13 Amazon EMR 11 Kubernetes 8 PyFlink 8 Kotlin 7 PostgreSQL 7 Change Data Capture (CDC) 6 Debezium 6 dynamic-des 6 Amazon DynamoDB 5 Apache Airflow 5 Discrete Event Simulation 5 Factor House Local 5 PySpark 5 Amazon API Gateway 4 Amazon Athena 4 Apache Iceberg 4 AWS Glue 4 AWS Glue Schema Registry 4 BigQuery 4 Digital Twin 4 FastAPI 4 Minikube 4 SimPy 4 Amazon EKS 3 Amazon QuickSight 3 Amazon S3 3 Apache Hudi 3 EMR on EKS 3 GCP 3 ALL 137
Kafka Development with Docker 11 Apache Beam Python Examples 10 Real Time Streaming with Kafka and Flink 7 dbt Pizza Shop Demo 6 Apache Beam Local Development with Python 5 Building Real-Time Digital Twins with dynamic-des 5 dbt for Effective Data Transformation on AWS 5 Getting Started with Real-Time Streaming in Kotlin 5 Kafka Connect for AWS Services Integration 5 Serverless Data Product 4 Data Lake Demo Using Change Data Capture 3 Getting Started with PyFlink on AWS 3 Kafka Development on Kubernetes 3 Parallel processing on single machine 3 Realtime Dashboard with FastAPI, Streamlit and Next.js 3 API development with R 2 dbt Guide for Production 2 Deploy Python Stream Processing App on Kubernetes 2 Download Stock Data 2 From Prototype to Production: Real-Time Product Recommendation with Contextual Bandits 2 ALL 24
2026 11 2025 13 2024 29 2023 39 2022 15 2021 7 2020 1 2019 5 2018 2 2017 6 2016 6 2015 15 2014 5
Posts
  • Building an Agentic Analytics System over an Iceberg Lakehouse
    Building an Agentic Analytics System over an Iceberg Lakehouse
    July 18, 2026
  • Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
    Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
    July 17, 2026
  • Introducing odctl: One CLI for a Local Open Data Stack
    Introducing odctl: One CLI for a Local Open Data Stack
    July 16, 2026
  • One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
    One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
    May 25, 2026
  • Building an Event-Driven Hybrid Digital Twin with dynamic-des
    Building an Event-Driven Hybrid Digital Twin with dynamic-des
    April 29, 2026
  • Why Digital Twins Are Rewiring Industry 4.0
    Why Digital Twins Are Rewiring Industry 4.0
    April 22, 2026
  • Building a Real-Time Industrial Digital Twin with Apache Flink and Online Machine Learning
    Building a Real-Time Industrial Digital Twin with Apache Flink and Online Machine Learning
    April 21, 2026
  • Slides as Code: Integrating Reveal.js into my Hugo Blog
    Slides as Code: Integrating Reveal.js into my Hugo Blog
    March 9, 2026
  • Productionizing an Online Product Recommender using Event Driven Architecture
    Productionizing an Online Product Recommender using Event Driven Architecture
    February 23, 2026
  • Stream Processing with Flink in Kotlin
    Stream Processing with Flink in Kotlin
    December 10, 2025
  • Building an Agentic Analytics System over an Iceberg Lakehouse
    Building an Agentic Analytics System over an Iceberg Lakehouse
    July 18, 2026
  • Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
    Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
    July 17, 2026
  • Introducing odctl: One CLI for a Local Open Data Stack
    Introducing odctl: One CLI for a Local Open Data Stack
    July 16, 2026
  • One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
    One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
    May 25, 2026
  • Current London 2026: Building End-to-End Data Lineage
    Current London 2026: Building End-to-End Data Lineage
    May 22, 2026
  • Building an Event-Driven Hybrid Digital Twin with dynamic-des
    Building an Event-Driven Hybrid Digital Twin with dynamic-des
    April 29, 2026
  • Why Digital Twins Are Rewiring Industry 4.0
    Why Digital Twins Are Rewiring Industry 4.0
    April 22, 2026
  • Building a Real-Time Industrial Digital Twin with Apache Flink and Online Machine Learning
    Building a Real-Time Industrial Digital Twin with Apache Flink and Online Machine Learning
    April 21, 2026
  • Slides as Code: Integrating Reveal.js into my Hugo Blog
    Slides as Code: Integrating Reveal.js into my Hugo Blog
    March 9, 2026
  • Productionizing an Online Product Recommender using Event Driven Architecture
    Productionizing an Online Product Recommender using Event Driven Architecture
    February 23, 2026
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Jaehyeon Kim

Data Engineer | Data Streaming | Powering ML & AI in Real Time

Copyright © 2023-2026 Jaehyeon Kim. All Rights Reserved.