If you use the internet frequently, there are very few chances that you have not come across Google Chrome. By this statement, I can easily cover those people who have not even used this browser or their mode of internet surfing is a different one. So, even if I am on Microsoft Edge and I search for a query or open Google’s home page, I am forced just to check out this fantastic browser once: This is a common scenario whether you have Chrome installed or not.

Part 2 of the WWDC 2022 recap summarizes the key takeaways and learnings from Apple’s 2022 Worldwide Developers Conference.

Logs are one of the three key “pillars” of observability, and cloud environments are no exception. You can’t know what’s happening in your cloud without analyzing cloud service logs, which allow you to audit and monitor workflows within your cloud. That said, cloud logging is a unique beast in certain respects.

Right before WWDC 2022, Bitrise announced the first scalable virtualized Apple Silicon M1 CI/CD dev environment. Then Apple announced M2 for iOS, and everyone wonders, is M2 in the cloud happening?

If you yearn to write more declarative syntax like SwiftUI and level up your data visualization game, Swift Charts is made for you! Apple introduced a new framework that helps you easily work with charts and create gorgeous visualizations. The chart can be anything — from a line or bar chart to something advanced like a range plot, stream graph, heat map, or even a vector field plot.

One of the crucial tasks for web developers is compatibility testing. The thing about a web page is that it might work perfectly fine on a desktop. But when you try to load it through mobile devices, things can look out of place. Sometimes, the site might even be finicky in different web browsers. Well, that is precisely where the Browserling steps in. But to comprehensively test websites, you might not want to settle with the feature and pricing of this automated testing tool.

Part 1 of the WWDC 2022 recap summarizes the key takeaways and learnings from Apple’s 2022 Worldwide Developers Conference.

In this tutorial, we’re going to build an interactive customer Churn Insights Dashboard using the open-source Python framework, Streamlit, and the Continual predictions generated in Part 1: Snowflake and Continual Quickstart Guide. In Part 1, we connected Continual to Snowflake and used a simple dataset of customer information, activity, and churn status to build and operationalize a machine learning model in Continual to predict the likelihood of a customer churning.

Qlik enhances analytics exploration in Snowflake by launching Direct Query, a new capability that allows Qlik Sense applications and dashboards to query Snowflake directly using SQL pushdown.