6:00 - 6:30 PM - Food, Drinks & Networking
6:30 - 6:35 PM - Announcements
6:35 - 7:15 PM - Basic Concepts
7:15 - 7:20 PM - Break
7:20 - 8:40 PM - Main Speaker
8:40 - 8:55 PM - Door Prize Drawings
BASIC CONCEPTS ABSTRACT
Nextcloud is an open source enterprise grade file synchronization and sharing platform that is extensible through the installation of applications. It offers capabilities similar to Microsoft Sharepoint, as well as synchronization platforms such as dropbox. This presentation will visit some of the benefits of building a private cloud service, as well as a couple of case studies of an owncloud deployment.
Why build a personal cloud? (5-8 minutes)
Control of data Security requirements for sensitive/proprietary data Protection from vendor lock-in or discontinuation of service Determine data control measures (Encryption at rest etc…) Plain old paranoia Control of provider Self Host Host as a service (AWS etc…) Customization of storage and workflows Because you can!
Case Studies: (15-20 minutes)
Private PIM storage Connect Android phone to Calendar, contacts and tasks services on owncloud File synchronization via nextcloud app Picture upload Electronic Classroom Lesson Plan (Teacher calendar) Assignments (Student calendar/tasks) Electronic delivery File synchronization Editing application Workflow management (tentative) Document coordination Creation Review Approval Revision
How to get started: (2-3 minutes)
Docker Nextcloud Box + RasPi The hard way
Other Features to discuss (to fill time) (3-5 minutes)
Document Editing Built in Editors Collabora Online Office External Storage Video Conferencing via Spreed.ME (example of extensibility)
BASIC CONCEPTS SPEAKER BIOGRAPHY
Ben is a software engineer at Braxton Technologies, a company that provides products for command, control, maintenance, simulation and management of satellites. He has been a Linux and open source enthusiast since he got his first copy of Slackware in 1997.
MAIN TOPIC ABSTRACT
Distributed Cloud Computing featuring Solr and Zookeeper
The data volume represented by today’s computing applications dwarfs the ability of any one computer to process, store, or manage it. There is just too much data (volume), and it is moving too fast (velocity). This talk will discuss how Distributed Computing architectures have been used by “As A Service” Cloud platforms to allow for massive horizontal scaling and meet today’s overwhelming data needs. The talk will use Zookeeper, Solr, Elasticsearch, Hadoop, Cassandra, Cloud Foundry, Cloudera, and Hortonworks (among several others) as specific examples of how this kind of scaling can be achieved.
MAIN SPEAKER BIOGRAPHY
Patrick Hoeffel is a Senior Software Engineer at Intelligent Software Solutions, Inc., where he does Log Analytics, Big Data, and Enterprise Search consulting. Prior to ISS Patrick worked for several startups doing work ranging from databases to user interfaces and everything in between. He holds a BS in Computer Science from the Catholic University of America in Washington, DC. His interests vary from Graph Databases to Machine Learning to Artificial Intelligence, but his true passion is data and how it is used to shape perceptions and inform decisions. When he's not working you can find him with his family, often outside. His new favorite quote is, "Always be yourself ... unless you can be a unicorn. Then always be a unicorn.
MSEE Uof I with a long history of experience in R&D product development.