Dani Traphagen

← GridGain Blog

GridGain Solutions Architect
Position:
GridGain Solutions Architect
Bio:

Dani Traphagen is a solution architect for GridGain, where she consults on high-tech caching architectures. Previously, Dani consulted at DataStax and led technical training internationally on Apache Cassandra and DataStax Enterprise. Her passion for teaching began while working in the Electrical Engineering and Computer Science department at the University of California, Berkeley, where she taught scientists technical skills, helped create a data science course, and raised awareness about the growing open science community. Dani has since volunteered with and generated training content for a number of organizations, including software carpentry, women in technology, rOpenSci, and GitHub. Earlier in her career, Dani worked in cartilage tissue engineering at the University of California, San Francisco, where her interests for heavy machinery, science, and code fused. If you don’t catch Dani behind a computer, you’ll often see her in the wild, backpacking, riding her bike, or climbing things. She also makes sure to keep the coffee business afloat in her hometown of Hermosa Beach.

Bio:

Dani Traphagen is a solution architect for GridGain, where she consults on high-tech caching architectures. Previously, Dani consulted at DataStax and led technical training internationally on Apache Cassandra and DataStax Enterprise. Her passion for teaching began while working in the Electrical Engineering and Computer Science department at the University of California, Berkeley, where she taught scientists technical skills, helped create a data science course, and raised awareness about the growing open science community. Dani has since volunteered with and generated training content for a number of organizations, including software carpentry, women in technology, rOpenSci, and GitHub. Earlier in her career, Dani worked in cartilage tissue engineering at the University of California, San Francisco, where her interests for heavy machinery, science, and code fused. If you don’t catch Dani behind a computer, you’ll often see her in the wild, backpacking, riding her bike, or climbing things. She also makes sure to keep the coffee business afloat in her hometown of Hermosa Beach.

In this post, I will cover the changes in Apache® Ignite™ 2.0/2.1 (which tracks to GridGain 8.0/8.1) that are important when implementing a project in Ignite. Then we will discuss the easiest way to setup a cache and just use the basic functionality of the Data Grid. So, Apache Ignite 2.0 & 2.1 have dropped! This is awesome news for you as a user. This is fun times for us at GridGain too.…
In-memory technology has been around for quite some time but developing backend architectures that optimize memory first for modern applications is just starting to become predominantly acknowledged as a prudent approach. Why is this so optimal? Find out and learn much more about in-memory computing at the relaunch of the "Bay Area In-Memory Computing Meetup" June 13 from 6:30-8:30 p.m. at …
I’m here in Austin for OSCON where tomorrow my session, “The next phase of distributed systems with Apache Ignite,” will teach folks how to optimize Apache® Ignite™ -- leveraging it for low-latency, highly available microservices architectures. This incredibly robust software is being used by Fortune 100 companies to great success and savings over legacy hardware. But first, what is OSCON? It’s…