Our project is managed in Jira, including testing with Xray (e.g. using Jira & Xray for single-source of truth of testing results) and our source code (including for automated tests) and CI/CD is managed in GitLab. In this scenario, we want to trigger automation in GitLab from the Xray side and report the results back to Xray and Jira.

In the traditional datacenter, distributed workloads simply existed across multiple datacenters. As businesses evolve their applications in the cloud native era, this degree of distribution scales as well. Workloads landing in multiple VPCs grow in commonality, and in many cases exist between cloud environments. In this Destination: Scale session, Cody De Arkland - Principal Technical Marketing Engineer, Service Mesh, Office of the CTO - shows how Kuma provides a method to connect these applications through its advanced multi-zone capabilities, and how this model enables global scale.

Forget about making key business decisions using historical data. With Active Intelligence businesses can now seize every business moment.

Testing Salesforce Apps presents numerous challenges for enterprise organizations. Teams have to navigate complex architecture, integration workflows, and continuous changes in the customized SFDC implementation, as well as a wide range of different applications hosted on Salesforce Cloud. If left unchecked, these challenges can hamper critical enterprise processes like the revenue-generating Quote to Cash process.

In this panel, experts from NetApp, NVIDIA, Strategy Analytics and Iguazio will discuss the main use cases, and also examine the challenges and solutions that exist for building AI applications for connected vehicles.

Entelgy Digital specializes in facilitating digital transformation through people and technology. They drive efficiency based on process automation, among other technologies, for the benefit of both client companies and the rest of the organization. Using the Appian Low-code Automation Platform, including Appian RPA, Entelgy has transformed its customer billing workflows reducing the entire process by 35% in only two weeks.

In some ways, the most valuable contribution of the project owner is to deliver a reviewed set of documents, code, and peer insights. However, this level of collaboration for models and equations can be challenging, and manual/visual inspection could lead to errors.

Analyzing load testing results can be difficult because of the amount of datapoints a test generates. k6 Cloud uses smart algorithms to point out performance insights so you always know exactly how your application responded to a load test.