Systems | Development | Analytics | API | Testing

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Episode 10: Quality Is Everyone's Responsibility

In this new series from Sauce Labs, Marcus Merrell addresses ten things he wishes CIOs and CTOs understood about testing. In episode ten, Marcus wraps up the series by reiterating why we test in the first place, to instill digital confidence...and who is responsible for delivering that quality user experience? Everyone. Come along on this ten-episode journey to learn some best practices while Marcus dispels some myths about the testing space.

The Data Chief Live: Designing your winning data strategy

The Data Chief Live: Designing your winning data strategy Join Maria Villar, Head of Enterprise Data Strategy and Transformation at SAP, Samir Sharma, CEO and Founder at datazuum, and ThoughtSpot Chief Data Strategy Officer, Cindi Howson, to kick start your year by designing a winning data strategy. Hear data leaders in this space share their experience and tips such as.

How to Migrate Your Blog from Gatsby to Next.js

A while back, you were probably looking for a great solution to create your blog, and Gatsby was the most popular solution floating around at the time. Now that some time has passed, a new player has risen to fame on the scene: Next.js has taken developer blogs by storm. Whatever your reasons for switching, we will explain how to switch from the Gatsby stack over to Next.js in this post.

On Connectivity and Conflict

The Two Generals’ Problem is a well-known thought experiment about how asynchronous – and potentially unreliable – communications can cause, shall we say, issues. These great generals from history are facing a cunning and capable enemy. Think of someone like Khalid ibn al-Walid, Napoleon, Erwin Rommel or Sun Tzu. If the generals attack together, they will win. If they attack separately, they will lose. The problem is that they are communicating over an unreliable and slow medium.

Moesif and Datadog: Feature Similarities, Differences, and How They Can Work Together

Moesif and Datadog are both platforms that provide monitoring and the ability to view metrics. At their core, though, both platforms do very different things for your organization and the teams that use them. Both can complement each other very well and contain features that can aid in making better products that scale seamlessly.

How Bayer Crop Science uses BigQuery and geobeam to improve soil health

Bayer Crop Science uses Google Cloud to analyze billions of acres of land to better understand the characteristics of the soil that produces our food crops. Bayer’s teams of data scientists are leveraging services from across Google Cloud to load, store, analyze, and visualize geospatial data to develop unique business insights. And because much of this important work is done using publicly-available data, you can too!