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Technology

Web and Mobile Device Testing Best Practices

Companies seeking to take advantage of the global online consumer base must optimize their offerings for web and mobile devices. Software development companies have two primary options for device testing - real and virtual. This guide explores the benefits of real device testing and how to craft a networked testing strategy that ensures dynamic offerings across operating systems, network connections, browsers, devices, and a global user base.

Take monitoring of your apps to the next level | Bitrise Webinar

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.

Key considerations when making a decision on a Cloud Data Warehouse

Making a decision on a cloud data warehouse is a big deal. Beyond there being a number of choices each with very different strengths, the parameters for your decision have also changed. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Kafka Summit Europe 2021: Top talks & takeaways

In keeping with tradition, we’ve chowed our way through the entire all-you-can-eat buffet of Kafka Summit Europe 2021 talks to bring you the best content to catch up on. Jay Kreps’ keynote this year addresses a few Kafka-shaped elephants in the room, as well as an overall shift in the way event-driven business is surfacing. On the technology front, Confluent announced new support for Kubernetes as an orchestration layer running on Kafka in a private cloud.

6 Ways Artificial Intelligence Improves Software Development

Artificial intelligence is transforming software development. From the code to the deployment, AI is slowly but surely upping its game and helping us discover a brand new paradigm for inventing technology. Algorithm-based machine learning is being used to accelerate the software development lifecycle and AI is supporting developers to optimize software workflow at every stage of the development process.

Scaling Service Mesh Across Clouds

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.

Simplify Salesforce Testing with AI-Driven Codeless Tools

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.