Aman Garg's starred repositories
git-flight-rules
Flight rules for git
reactive-streams-jvm
Reactive Streams Specification for the JVM
datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Awesome-JSON-Viewer
:fire: A Chrome extension to visualise JSON response and introduce awesome JSON prettifying experiences.
Jwt-Spring-Security-JPA
Backend MVP showcasing JWT (Json Web Token) authentication with multiple login, timeout / refresh / logout (with in memory invalidation) using Spring Security & MySQL JPA.
hbase-docker
HBase running in Docker
elasticsearch-test-data
Generate and upload test data to Elasticsearch for performance and load testing
docker-registry-manifest-cleanup
Cleans up docker registry by removing untagged manifests from the registry
levenshtein
A simple proof of concept levenshtein automaton in Python
kafka-flink-101
Simple Flink + Kafka application
real-time-ui-with-kafka-streams
Fast data arrives in real time and potentially high volume. Rapid processing, filtering and aggregation is required to ensure timely reaction and actual information in user interfaces. Doing so is a challenge, make this happen in a scalable and reliable fashion is even more interesting. This session introduces Apache Kafka as the scalable event bus that takes care of the events as they flow in and Kafka Streams for the streaming analytics. Both Java and Node applications are demonstrated that interact with Kafka and leverage Server Sent Events and WebSocket channels to update the Web UI in real time. User activity performed by the audience in the Web UI is processed by the Kafka powered back end and results in live updates on all clients.
sample-KafkaSparkCassandra
Introductory sample scala app using Apache Spark Streaming to accept data from Kafka and write a summary to Cassandra.
Websockets-Vertx-Flink-Kafka
A simple request response cycle using Websockets, Eclipse Vert-x server, Apache Kafka, Apache Flink.
flink-couchbase-data-sink
A Flink job that reads a Json file (either one-time or continous poll) as its source and dumps it to couchbase as a sink using the asynchronous Couchbase SDK.
spring-boot-config-server-example
Spring Boot using Spring Cloud Config Server
liquido-backend-spring
Java Backend for my Liquid Democracy App.
summit-lightning-cluster
Lightning Talk Vert.x Clustering
java-learn
My learnings of JAVA and Git