Optimize as you scale: Best practices for deploying Data Center

When enterprises reach a tipping point of user growth in their Atlassian journey, they need a long-term strategy for scaling teams, applications, and infrastructure. Join this webinar to learn how to best scale your instances and improve the performance of your Atlassian tool stack.

How do you make life easier when your Atlassian instances are growing by the day, but your infrastructure and support teams aren't? Migrating Atlassian applications to Data Center is a complex process that requires careful planning and strategic decision-making, but when managed successfully can result in deployment that can handle growth for years to come.

Join Allan Margono of SAP Fieldglass and Dan Frost of cPrime as they share their experiences and lessons learned from migrating to Data Center. They will highlight the best practices (and benefits) of moving to Atlassian Data Center and show evidence of how AWS and Azure can be used to scale for both performance improvement and cost saving reasons.

In this webinar you’ll learn from customer use cases that cover the following topics:

  • 基础架构选择

  • Deployment automation

  • Security audit and logging

  • Testing limitations

  • Node count tradeoffs

  • Performance monitoring

Speakers

Allan Margono

Senior Software Configuration, SAP Fieldglass

Allan is the lead architect of SAP Fieldglass' Data Center ecosystem for all Atlassian tool suites in the Azure Cloud Platform, including but not limited to Jira, Bitbucket, Bamboo, Confluence, and Crowd. Prior to his joining SAP, Allan spent over 20 years with Motorola as a Principal and Senior Staff Software Engineer.

Dan Frost

Director of Partnerships, cPrime

Dan is responsible for strategic partnerships and alliances at cPrime, an Atlassian Platinum Solution Enterprise Partner committed to helping clients to best utilize Atlassian technology and Agile processes. His experience with cPrime also includes building a team of managing consultants and the responsibility of successful delivery across DevOps, ALM, and ITSM technology services. Dan's background in IT program management is vast, spanning financial services to SaaS implementation methodologies.