Systems | Development | Analytics | API | Testing

Why and how Fivetran’s usage-based pricing model ties cost to value for our customers.

There are several types of errors that can occur in Python. Each type indicates a different kind of problem in the code, and comprehending these error types is crucial in creating effective Python applications. The most common types of errors you'll encounter in Python are syntax errors, runtime errors, logical errors, name errors, type errors, index errors, and attribute errors. Let's go through each with examples.

Kong is proud to announce our first-ever Long Term Support (LTS) version of Kong Enterprise. Kong Enterprise 2.8 LTS will be supported up to March 25, 2025. LTS is an industry term for a software release that is supported for a longer period of time than other releases. LTS versions are popular because once users are on an LTS version, they can rest assured that this version will continue to receive technical support and security updates during the LTS period.

In the first part of this series, we explored the ins and outs of Elixir test factories and fixtures. However, test factories bypass the rules of your Elixir application. Let's turn our attention to how we can avoid this by using data generation functions. Let's dive straight in!

Superapps take the features and functions of several apps to create a single powerful app that allows users to accomplish multiple tasks in one place. With mobile app users spending more time on apps each day, what are the benefits of creating a superapp for companies?

Today, we are very excited to announce the acquisition of Aspecto, an OpenTelemetry (OTel) pioneer whose capabilities will further extend SmartBear’s modern, developer-focused observability capabilities. Aspecto’s solution discovers modern microservice based architectures and visualizes all the real-time interactions between services and APIs through advanced distributed tracing capabilities.

Artificial intelligence (AI) has become increasingly important as organizations use it to drive innovation, enhance efficiency, improve decision making, and boost digital transformation efforts. But ensuring success requires significant, ongoing efforts. Consider setting up an AI center of excellence (CoE) to boost the success of your AI initiatives.

DuckDB is competitive with the best commercial systems for small and medium data sizes, but is not (yet) good at scaling up to many CPU cores.

Non functional testing is just as important as functional testing. Both ensure that your product is working as it should. But non functional testing checks aspects of your product that aren’t covered in functional tests. And it helps ensure a high level of product quality, performance, and usability - all of which lead to higher user satisfaction.