Systems | Development | Analytics | API | Testing

SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL as a part of Cloudera Streaming Analytics, built on top of Apache Flink. It enables users to easily write, run, and manage real-time continuous SQL queries on stream data and a smooth user experience.

Have you ever wanted a quick and easy way to monitor your Docker environment? Do you want to have an API monitor with minimal configuration? Well it looks like there has never been a better time to monitor your API as there are currently a plethora of awesome tools out there to help us with monitoring, such as Prometheus and Grafana.

In this continuation, Allen Loew, a Principal Quality Engineer and Sauce Labs advocate, explains how saucectl has transformed his team's test efficiency. We’re excited that Sauce Labs new fellowship program is in full swing. Over the next several weeks, we’d like to introduce you to the five fellows who are working hard to improve and open source Elemental Selenium. Sauce Labs has a new brand identity, and it’s a BIG change. Learn more in this blog post.

Economics in the digital world has evolved in parallel with those of the physical world — moving from a focus on products to services and, now, experiences. Joseph Pine and James Gilmore first introduced the concept in their book, “The Experience Economy.” There they observed that “getting personal with customers is the DNA of the Experience Economy.”

DynamoDB is a fast and performant NoSQL database for creating highly available web applications. This article explores how to interact with DynamoDB in Python using the Boto3 library and covers in-depth concepts such as concurrency, leader model, throttling, and more.

On-premises software accounted for 58% of the market share for tech deployment in 2020 and is projected to grow 30% by 2030. While cloud services will likely overtake this deployment method in the years to come, your business might not be able to afford to switch to the cloud anytime soon, especially if predictions about an impending recession come true.

An array is a set of items kept close to one another in memory. With just an offset added to a base value, it is possible to determine the position of each element when storing multiple items of the same type together. In Python, an " array " module is used to manage arrays. Although lists can be used like arrays, users cannot specify the kind of elements that can be stored there. Therefore, when using the array module to create arrays, all array components ought to be of the same sort.

JSON is among the most popular data exchange formats, while Go is mainly used for software development. In Go, the encoding/json package provides built-in support for encoding and decoding JSON data. With this package, Go programs can easily read and write JSON data to communicate with external systems, such as web services or databases, or to exchange data between different components of the same program.

When building APIs for the first time, it is important to understand error status codes and how they impact the overall performance of the API. Error status codes are essential for ensuring that the API is functioning correctly, communicating errors and warnings to the user or system, and providing a seamless experience. It is important to understand the different types of error status codes, what they mean, and how to interpret them so that your API will function properly.

Imagine you open a shopping website, browse around and see some products of your liking. After placing them in the cart, you're all ready to check out, only to discover that your favorite items are nowhere to be found on the list. This is one of many examples of a software bug that could be caught using integration testing. There are multiple testing stages that software goes through before release, the two most popular being unit and integration testing.