Merry Christmas from everyone here at //SEIBERT/MEDIA

We want to take this opportunity to thank all of our customers, partners, event staff, colleagues, guests – everyone we have had the pleasure of working with or helping this year! We’ve had a fantastic year with Linchpin, draw.io, Agile Hive, G Suite, our Tools4AgileTeams conference, our regular breakfast information sessions, teaching kids how to program with programmieren.de, the Atlassian Summit in Barcelona, and all of the other events we both attended and hosted.

Linchpin – Intranet with Atlassian Confluence: New teasers, news, advanced expert search and more

Do you want your intranet to be understood and to be used intuitively by all your employees, even by technically inexperienced users ? A clear design, one that feels relevant, with a smooth start up and an intuitive user interface are important aspects. Linchpin achieves this and more by limiting the complexity of Confluence, adding opportunities for personalization across the board, extensive design options and seamless interaction between Linchpin apps – with easy-to-use administration functions and no fuss.

Linchpin Navigation Menus 2.7: Extended flyout menus, icons for menu items and much more

Navigation menus are an important requirement for customers who use corporate intranets. However, the standard version of Confluence doesn’t offer many options that give you control over your navigation menus. This is where the Linchpin Navigation Menus app (previously called the Navigation Menu Editor) comes into play. It adds this much-needed functionality to Confluence, and along with the other central components of the Linchpin intranet suite, it extends Confluence to be a complete corporate intranet.

Jira to BigQuery Data Integration: Build vs Buy

Many businesses choose cloud data warehouse services, like Amazon Redshift, Google BigQuery, etc. to analyze their data, as they offer high scalability and on-demand computing power and are supported by a large number of various data analysis tools. Let’s consider a more specific case when there is a need to analyze company data from a Jira system, and Google BigQuery is selected as a data warehouse for analysis. There can be different ways to solve this scenario – build vs. buy.