North Hall - Room 1006

Overview of how our Infrastructure team integrated automation into our data center.  Includes an overview of the specific tools sets and platforms deployed.   Focusing on the drivers and benefits.  Including specific real-world examples of how manual labor can be automated, what it means for the organization, what skill sets are required to achieve success, how to measure success, etc..  Automation is an important step in the maturity model for modern IT teams, yet not many UC’s are—

It takes multiple teams working in concert to deliver a quality product. This coordination is difficult without a defined process in place.

In the beginning, users had to interact with each team separately which caused confusion, delays, and unpredictable outcomes.  To remove this burden from the user and improve delivery time, we designed and continue to iterate a process that ensures requests are fulfilled in the shortest time possible.

In this session we'll showcase our journey—

DevOps, CI, Build, Test, Deploy! There are a lot of different components flying around this buzzword-compliant practice. It’s hard to know where to start. (Spoiler: always start with low-hanging fruit!) But the promises are very attractive: Fewer bugs, faster deployment, greater confidence in your changes.

Learn practical tools and workflows from those of us already in the trenches. We will cover:

• Identifying the areas where automation will make the biggest difference
• Continuous Integration tools and services such as—

Note: This session is only for UC-affiliated attendees. At the request of the presenter, this session was not recorded. - UCTech 2019 Planning Committee

“Getting out of the Data Center Business” is a common strategy at many of our campuses.  This session will provide a comparison of the UC system agreements for the three major cloud providers (AWS, Azure, GCP) and discuss recent developments negotiating deeper discounts and incentives using our collective scale.  We will show what—

Do you have an enterprise data warehouse? Are you always challenged with integrating disparate sources? . Are your data integration  projects chaotic, labor intensive, with rapidly changing requirements and unhappy customers? Come and listen on how data virtualization helped our organization to unify data across different sources.   to reduce data duplication , to evolve quickly to changing requirements , to improve productivity in IT and by business data communities.

We’ve all got our data warehouses. Some are legendary. Some are decades old. All were built with love, blood, sweat and tears.These fine creations have served the ever changing BI needs for a long time. BI delivery timeframes have shrunk to such an extent that our warehouses cannot deliver high quality without compromise or risk. Can data warehouses be converted to data lakes? Can the data be salvaged? Can data lakes keep up with the new BI—

At the request of the presenter, the session recording will not be posted. Please reach out to the presenter with any questions. - UCTech 2019 Planning Committee

Delivering modern messaging (push messages and texts) into a native app involves reaching people where they are, in real-time, with current and pertinent information.  For example, as you pull up to the airport terminal, travelers greatly appreciate getting that text message, to inform you that your departure gate has changed—

We have witnessed a lot of extra effort wasted over the years in the UC system, costly endeavors to build huge and expensive one-off projects as well as efforts to build even bigger systems to consolidate and centralize these systems.This session will cover an alternative IT strategy that will make data-informed decision making more accessible for campuses. By leveraging existing campus-wide solutions and business processes, campuses can integrate and streamline them together using highly customizable platforms.—