Creator of Flagr and OpenMock. Ph.D. in Graph theory and graph sampling. Kong contributor. k8s and cloud native evangelist. Gopher learning Rust. Welcome!
Flagr (github | medium blog) is an open source Go service that delivers the right experience to the right entity and monitors the impact. It provides feature flags, experimentation (A/B testing), and dynamic configuration. It has clear swagger REST APIs for flags management and flag evaluation.
Openmock (github | medium blog)
Mock all the services. Intuitive YAML DSL for HTTP, Kafka, and AMQP mocks.
Hast (github). Live presentation is never done easier before. Hast is a WYSIWYG markdown flavor presentation tool made for everyone! We love markdown, did I mention it? It uses github style markdown. It quickly does the real time broadcasting and hot pushing changes. Hast uses Meteor, DeckJS, aceEditor, etc. I just love how simple it is.
Meteor-Vue (github). Meteor-Vue is the bridge between Vue.js [yyx990803/vue] and Meteor. Vue.js is a very sleek and fast framework that works with descriptive bidirectional html data-binding. It also offers animation and transition to your app. Meteor-Vue combines them by offering the data-sync option.
My previous research was focusing on faster graph sampling and web data mining.
Zhuojie Zhou, Nan Zhang, Zhiguo Gong, and Gautam Das, Faster Random Walks By Rewiring Online Social Networks On-The-Fly, Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2013. pdf
Zhuojie Zhou, Nan Zhang, and Gautam Das, Leveraging History for Faster Sampling of Online Social Networks, Proceedings of the VLDB Endowment (VLDB), 2015. pdf
Zhuojie Zhou, Nan Zhang, Zhiguo Gong, and Gautam Das, Faster Random Walks By Rewiring Online Social Networks On-The-Fly, Proceedings of the IEEE International Conference on Data Engineering (TODS. ACM Trans. Database Syst. 40(4): 26:1-26:36), 2016. pdf
Azade Nazi, Zhuojie Zhou, Saravanan Thirumuruganathan, Nan Zhang, and Gautam Das, Walk, Not Wait: Faster Sampling Over Online Social Networks, Proceedings of the VLDB Endowment (VLDB), 2015. pdf