Over the last few days, I have been hard at work writing an up to date comparison of Kubernetes tooling (check out the first and second posts if you haven’t already, which cover tools that help you reproduce issues locally). Going through the sprawling Kubernetes ecosystem and curating the knowledge that would be the most interesting to fellow developers and engineering managers has been no small task. That’s why section 3 will cover the heart of cloud-native development: the IDE.

Over the last few blog posts, I have covered critical elements of developer tooling for Kubernetes and how things are looking in 2021. As we continue to dive into that discussion, we must not forget the process of building container images. Of course, most of us create our images by writing Dockerfiles and building them with the Docker engine. And yet, more and more teams are adopting newer alternatives.

We live in a world where FinTech automation is forcing traditional banks to move faster and deliver better customer experiences. This new world demands a completely different business model from traditional financial institutions.

With product analytics, you collect data about how your users are interacting with features and how frequently they use your app. With website analytics, you know your top pages, devices, and locations, and you can drill down into activity per visitor. But what about manual app testing analytics?

Xplenty provides features to efficiently extract, transform, and store data from various sources. Chartio provides Visual SQL features that let us explore and analyze data. Furthermore, it includes functionality to arrange charts and metrics in dashboards that can be shared. Both these tools can be used synergically. In this post, we will cover how you to configured Xplenty to use Chartio data. In a subsequent post, we will explain how to visualize the data provided by Xplenty in Chartio.

Artificial intelligence (AI), automation and machine learning (ML) are rapidly transforming the analytical experience for everyday business users in 2021. Whether it’s automated visualizations, continuous analysis, or reduced time-to-insight, there are many practical benefits of augmented analytics that are well documented and fully realized today.

You may have read about Snowflake’s IPO last year. But you probably didn’t hear about all the work that the Snowflake security team did in preparation. Our corporate security program went through a security analytics review to ensure that it satisfied the new security policy requirements resulting from the IPO. Here are a few lessons that we learned when setting up automated security control validation on our Snowflake security data lake.

Keep the bigger picture in mind as you build and use your analytics dashboards. Between devices, websites, applications, online service providers, and platforms of all kinds, modern businesses rarely have a single data source to analyze in our continuously connected world. That’s why how information is presented is almost as important as the quality of the information itself, making the difference between leading with confidence or simply flying blind.

Scaling an eCommerce business doesn’t have to be hard when you have the right tools. 20+ pros share their favorite eCommerce tools for growing their store.

Today we are using mobile phones for social media, shopping, banking, movies, online meetings, emails, and whatnot. Can we have a single day in our life without a mobile phone today? You’d be thinking of a no right? Something like ‘it’s near to impossible’. Mobiles have different models, screen resolutions, operating systems, network types, hardware configurations, etc. How to make sure that an application works fine on all these different combinations?