Systems | Development | Analytics | API | Testing

Functional testing comes in all shapes and sizes. So do functional testing tools.

Podcasting gains traction nowadays. If you want to listen to some podcasts, you will find ones that would cover topics related to whatever you want. SEO is not an exception to the rule. There are tons of podcasts that talk about SEO, digital marketing, and everything in between. But how to know which SEO podcasts are worth your time and attention? In this post, you will get familiar with ten podcasts every SEO should listen to. Let’s get to the meat!

As data science and machine learning adoption has grown over the last few years, Python is catching up to SQL in popularity within the world of data processing. SQL and Python are both powerful on their own, but their value in modern analytics is highest when they work together.

Snowflake is committed to helping developers focus on building their apps and businesses rather than on infrastructure management. At this year’s Snowday, Snowflake announced a series of advancements that empower developers to do more with their data, enhancing productivity and unlocking new ways to develop applications, pipelines, and machine learning (ML) models with Snowflake’s unified data platform.

A good developer experience can make or break your product. Developers, myself included, are extremely particular about the tools they use to build and monitor their projects. With the vast array of developer tools available, the option to be picky is easier than ever. The great part about product experiences is that with proper tracking and analytics, you can slowly make impactful small changes.

For almost two decades, Selenium has been the go-to framework for automated software testing. We have successfully developed that Selenium is a collection of technologies for automating browsers on many platforms. Selenium tools are used to automate web app testing, despite the fact that they are capable of much more. The logic for Selenium's test scripts may be written in a variety of languages, including Java, Ruby, Perl, PHP, and Python.

Irrespective of what it’s called, the market has talked about what amounts to data mesh for several years. The concept of decentralized data management that is driven by business domains helps support the need for business-focused data outcomes. It also helps place value on where the value of data projects should be - on business needs. Data driven organizations need to look at business domains as a way of organizing the various desired outcomes of analytics and data movement initiatives.

What’s your API data telling you about your Web3 App? By lifting relevant information from your App’s API transactions and call logs, you can identify and proactively catch issues before they’re surfaced by your customers. Keep your customers happy and reduce churn - make your customer success team performant.

Financial statements tell an important story, but they rarely tell the entire story. It often requires a sharp eye and a healthy measure of experience to elicit meaningful information from the numbers. Even people with keen financial acumen will have questions, and they can easily overlook important realities that lay buried somewhere within the details. For those with less experience reading financial reports, this task is far more difficult.

Today we’re excited to announce the release of Kong Mesh and Kuma 2.0. With this new major release, we’re announcing the first availability of our next-generation policies, in addition to new eBPF capabilities. 2.0 is also significant as we have unified the version scheme between Kong Mesh and Kuma. Previously, Kuma versions had an n-1 version naming convention when compared with Kong Mesh.