TL;DR Full source code published in hazelcast/cfsummit17-wednesday repository [1] Distributed Caching for you new Node.js Project Have you seen it? Do you like it? Please, rate Loading... Slides Distributed caching for your next node.js project cf summit - 06-15-2017 from Viktor Gamov Grab the code You can find code sample is following GH repository...
Caching Made Bootiful Have you seen it? Do you like it? Loading... Slides [Codemash] Caching Made "Bootiful"! from Viktor Gamov Grab the code You can find code sample is following GH repository https://github.com/gAmUssA/bootiful_codemash2017 Each branch represents parts of the talk: 00-Inception - starting point of this talk, introduction of a slow service 01-EnableCaching - we’re trying to fix slowness by enabling Spring Caching Abstraction 02-EnableEmbeddedDistributedCaching - go distributed with embedded Hazelcast cluster. 02-EnableClientClusterDistributedCaching - distributed client-cluster topology 03-EnterJCache - with standard API for caching we can remove bunch of code and enable nice features like entry listeners ...
TL;DR Source code from this blog is posted on the Hazelcast Code Examples repository on Github. The folks at OpenCredo recently published a blog post entitled «Running and Testing Hazelcast in a Spring Boot Application». They introduce some of the basic features of Hazelcast including: Spring dependency injection, how to embed it in a Spring Boot application and write simple integration tests. It is a really good first reading if your using Spring. Make sure you check it out. ...
TL;DR When I talk to the developers about Hazelcast, many of them ask how Hazelcast is different from NOSQL databases, and particularly from MongoDB. In this blog post, I will try to answer this question once and for all. Introduction MongoDB is an open source, document-oriented database designed with both scalability and developer agility in mind. Instead of storing your data in tables and rows as you would with a relational database, in MongoDB you store JSON-like documents with a dynamic schema. In short, MongoDB is an NOSQL data store, primarily concerned with storing/persisting and retrieving schema-free data. ...
TL;DR This April, I’m going to deliver half-day workshop «Ground-up Introduction To In-Memory Data» at Code PaLOUsa conference in Louisville, KY. You’re an architect or a developer with years of experience creating amazing applications. You’ve just been assigned to a gasp low latency project! Because you’re an expert, you’re expected to master a new In-Memory caching/data technology and be productive from day 1. You feel completely lost as you open the JAR files. Not only that, but you have to contend with new topologies and data stores like NoSQL or Hadoop. ...