Sharing leads to better solutions.

Designing for Optimal Performance in SharePoint Online

In the last several years, the growth in popularity and compelling value of Office 365 have resulted in many organizations adopting SharePoint Online rather than building an on-premises implementation. Developing for SharePoint Online shouldn’t be approached with the same mindset as developing for SharePoint on-premises, though. During this webinar, we’ll take a look at how SharePoint Online is implemented and how it differs from a typical on-premises implementation. We’ll examine why developing for the cloud is different, identify common development concerns, and demonstrate some good (and bad) development approaches. We’ll also look at some hands-on troubleshooting techniques that are available for diagnosing common SharePoint Online performance problems, as well as some solutions that can be applied. At the conclusion of this session, participants will have a greater understanding of SharePoint Online, how to develop for it, and how to perform basic performance troubleshooting in the cloud.

Webinar highlights:

  1. Build an understanding of how SharePoint Online is implemented
  2. Identify common SharePoint Online development concerns and challenges
  3. Demonstrate SharePoint Online troubleshooting tools, activities, and remediation steps

Presented by

National Office 365 Solution Manager

Sean is the National Office 365 Solution Manager for Cardinal Solutions where he is responsible for the planning, guidance, and implementation of solutions that commonly involve Exchange Online migration, SharePoint Online deployment, and each of Office 365’s other workloads. Additionally, Sean was recently named a Microsoft MVP (Most Valuable Professional) for his contributions to the Office Development and Office Servers and Services technical communities. Sean is also a gearhead, problem solver, and regular community contributor in various Microsoft product and technical communities.


April 5, 2016
1 p.m. EST

Register for Webinar