It's time to get busy building that feature store using ClearML DataOps! Join T. Guerre for a rapid-fire walkthrough for the first step - getting an engineered feature as a version on top of your dataset.

In this session from Destination: Scale, Jelena Duma Sr. Director, Enterprise Architecture at NexJ shares how they scaled down in order to scale up by moving to a microservices architecture. She also shares best practices for other organizations that are also looking to scale and reach new audiences.

Used in over 80,000 organizations worldwide, Salesforce is the most widely adopted CRM system. Conducting automated functional testing is challenging in Salesforce, however, given that the web pages are dynamic. In this demo session, Sahr Saffa will demo hands-on use cases of testing the Salesforce application and show how you can customize the in-built SDFC (Salesforce Dot Com) features. You'll learn how to build a robust testing framework that will give you reassurance even if you have no previous experience.

Do you want to see how your app performs in your users’ hands? That’s why we have monitoring tools! Mobile monitoring is to understand how the app is performing from the perspective of the user. It consist of multiple different aspects like crash reporting and analytics, user experience monitoring, or log and network monitoring. In this webinar, we'll discuss the importance of mobile app monitoring and the different approaches, the changes in mobile observability and data privacy.

In this office hours, Nicole van der Hoeven and Simme Aronsson are joined by Nocnica Fee from New Relic, who volunteered to learn how to use k6 for the very first time, live! We also had a chat about serverless architecture and how it's different from traditional architecture.

In this webinar, Unravel CDO and VP Engineering Sandeep Uttamchandani describes the fourth and final step for any large, data-driven project: the Operationalize phase. You've found your data (Discover phase), readied it for processing (Prep phase), and built out your processing logic and machine learning model(s) (Build phase). Now you need to Operationalize all your work to data as a live project, in production.

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.

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 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.

To kick off Test Automation Day Online | Retail & Ecommerce, Matthew Bruun, Senior VP EMEA at Sauce Labs, provides an introduction to Sauce Labs and our commitment to creating a world of digital confidence. Connect with Sauce.