mkuthan/example-jms

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Created almost 11 years ago
Updated almost 11 years ago

mkuthan/example-jms

mkuthan

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JMS best practices, tips and tricks

example-spark

Spark, Spark Streaming and Spark SQL unit testing strategies

example-spark-kafka

Apache Spark and Apache Kafka integration example

example-ddd-cqrs-server

Example DDD/CQRS based on Implementing Domain Driven Design book written by Vaughn Vernon

garmin-workouts

Command line tool for managing Garmin workouts.

example-spring

Example Spring project

example-axon

Example Axon Framework based implementation based on CQRS Journey essay.

example-kafkastreams

Kafka Streams DSL vs Processor API

example-flink-kafka

Example Flink and Kafka integration project

example-jbehave

Example JBehave and Spring Framework setup.

example-beam

Playground for Apache Beam and Scio experiments, driven by real-world use cases.

example-akka-http

Example Akka HTTP application

stream-processing

Learn how to develop and test stateful streaming and batch data pipelines

gcp-dataflow-tampermonkey

Tampermonkey script for GCP Dataflow console with enhanced view for finding job bottlenecks

raspberry-ansible

My Raspberry Pi installation at home.

example-jpa

JPA best practices, tips and tricks.

m4enterprise

Maven For Enterprise is an example how to configure and manage Maven projects in the enterprise environment.

mkuthan.github.io

Blog, presentations and other public content published on https://mkuthan.github.io

example-netty-kafka

Example Http (Netty) producer for Apache Kafka

design-nestedset

Nested Set design pattern for representing hierarchies in relational databases.

design-fsm

Finite State Machine design pattern for simplified workflows in enterprise applications.

kata-beam

https://beam.apache.org/blog/2019/05/30/beam-kata-release.html

minecraft-gcp

Minecraft Server automation on GCP

example-avro-parquet

Example Apache Avro schemas with Parquet compatibility tests

design-best-effort-1pc

Best Effort Single Phase Commit

example-spark-ml

Machine learning, feature engineering examples using Spark ML

Jupyter Notebook