Whether you scale QA in-house or through a partner, it's essential to understand which options best match your app testing needs. Do you hire in-house testers? Do your engineers need to shift left and take ownership of code issues? Do you augment testing with crowdsourced QA? For many organizations, the answer is a software testing partner that can help you tackle all of these issues. Whether you scale QA in-house or through a partner, it's essential to understand which options best match your app testing needs.

Learn how to extract vital testing session information to identify the cause of defects. Most QA and engineering teams are missing out on critical app testing session data. Access to these insights helps rapidly increase bug triage and issue resolution. With instrumented testing, software teams have rich, nuanced, and contextual issue causation and testing environment data at their fingertips. In addition to revealing new test data, teams can reduce their dependency on multiple diagnostic tools or processes.

In this eBook, Kong Co-Founder and CTO Marco Palladino illustrates the differences between API gateways and service mesh - and when to use one or the other in a pragmatic and objective way.

Businesses today run on apps, and those apps run on data. Too often, however, the technical complexity required to surface and explore that data for additional analysis prevents users from doing so. With ThoughtSpot Everywhere, organizations are easily building new data apps powered by the simplicity and ease of use of ThoughtSpot, or adding ThoughtSpot services to their existing SaaS offerings. This is giving them the unprecedented opportunity to create product experiences that stick, monetize data in new ways, and harness data right within existing tools.

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.

Business Leaders have never been at the helm of so much change. The last year has forced virtually all industries to shift and adapt how they operate. Those with a knowledge of technology and the results it can achieve are at a real advantage when adapting to the unexpected. Digital excellence has now become an integral business requirement, not just an IT solution.

Today, just 24% of organizations say they've succeeded at becoming data-driven.* This is a challenge many data leaders are still struggling to solve despite increasing demand for data-driven insights from business users. Migrating to a cloud data warehouse is a good first step-and many have done so-but introducing new technology is not the same as ensuring adoption. To truly reap the benefits of your cloud data warehouse investment, you need an equally fast, scalable, and easy-to-adopt analytics solution to make your cloud data available to all.

Although making predictions about the future is difficult even under the best of circumstances, it's never been more important for business leaders to focus, prioritize, and act in order to stay ahead of the technological curve-and the competition. The strategies you used to innovate and grow your business in the past will not be the same ones you use today. Rethinking how you use data to react and proactively adapt to change will be critical to your bottom line.

Learn why virtual experiences like video chat, interactive commenting, and others are gaining popularity and what to test for a seamless user experience.

Discover why an industry shift towards a "collective" approach to testing makes sense for flexibility, cohesion, and faster release cycles.