Atlassian Corporation Pty Ltd.

Atlassian US, Inc.

Atlassian Inc.

Yash Sharma

Hideyoshi Cheong

Georg Kasper

Ravi Kambhampati

Stephen David Lee

Rohan Dhupelia

Mike Dias

Austin Byrne

Tarunveer Singh

Malcolm Agnus

Perrin Alexander Stephenson

Itzchak Feldman Perka

Malcolm Angus

Anushka Mudholkar

Ievgen Aleinikov

James Benjamin McCullough

Steve Lee

A multitenant collaboration tool is instantiated over physical infrastructure operated by a hosting platform. The multitenant collaboration tool leverages interfaces of the hosting platform to provision and/or instantiate buckets and/or data lakes in particular physical locations, serving from those data lakes tenant data required to be stored within those specified locations. The multitenant collaboration tool includes a multitenant query gateway configured to route data queries from client devices to appropriate multitenant data lakes associated with multitenant collaboration tool.

Tenant data residency requirements enforcement in multitenant collaborative work environments

A collaboration tool includes a collaborative database consistency system that includes a host service to receive user input and, in particular, a selection of data to monitor. The host service is coupled to an upstream dependency traverser service configured to generate a dependency tree identifying all tables upon which the selected data to monitor depends, at least in part. A unit test service receives the dependency tree as input and automatically generates suitable pass/fail tests for each table identified in the dependency tree. Thereafter, the unit test service can execute each generated pass/fail test to determine whether the data to monitor is valid.

Quality control test transactions for shared databases of a collaboration tool

Systems and methods for automatically creating and managing electronic data tables are disclosed. The method includes receiving a metric request descriptor from a client device, the metric request descriptor including at least information for creating a metric query and an identifier of an electronic data table; automatically generating a custom metric query based on the information for creating the metric query and one or more predefined metric templates; creating the electronic data table based on the identifier of the electronic data table received in the metric request descriptor; applying the custom metric query to a data store storing a plurality of event records; extracting metric data from the data store based on the custom metric query; and storing the metric data in the electronic data table.

Systems and methods for automatically creating and/or managing electronic data tables

Growing community of inventors

Sydney, Australia

Yash Sharma