Game development has only grown more complicated as studios adjust to working with increasingly larger projects, globally distributed teams, and limited resources. It’s no surprise that teams are exploring alternative solutions, like cloud game development, to build their next break out game. The appeals of building a game in the cloud include its abilities to minimize developer and artist challenges and optimize your development pipeline.

Did you know data scientists spend around 60% of their time preprocessing data? Data preprocessing plays a critical role in enhancing the reliability and accuracy of analytics. This blog will discuss why data preprocessing is essential for making data suitable for comprehensive analysis.

Let’s pose a hypothetical scenario. You're the API product owner at the Paris, Texas Regional Airport. You're in charge of two main APIs: Flights API and Scheduling API. Flights API is primarily used by local research institutions that are interested in read-only access to information about departures and arrivals. Scheduling API is primarily used by airline partners who are interested in updating information about their flights and gates.

Embedding analytics into your application? New browser restrictions are on the way for Google Chrome that can block some third-party content that uses cookies from being accessible to users by default, in addition to restrictions in Safari and Firefox you may have already seen.

The java.lang.IndexOutOfBoundsException in Java is thrown when an index used in arrays, lists, or strings is not valid. A valid index must be a number from 0 up to one less than the total number of items. For example, in a list of 3 items, the valid indices are 0, 1, and 2. Here’s a quick example: The error message you’d get would look something like this: Here are some other common ways the IndexOutOfBoundsException might be thrown.

As Augmented Reality (AR) becomes more prevalent, imagine entering a world where digital overlays seamlessly blend with your physical surroundings, enriching your reality with interactive information and immersive experiences. This is the promise of AR, a groundbreaking technology reshaping how we interact with the digital world.

The Ably service handles massive amounts of data throughput and concurrent connections for many customers while maintaining a highly reliable and available service, with a 5x9s uptime guarantee. Ably has no scale ceiling, and that’s challenging work (it’s one of the reasons I joined Ably). While the challenges we face in delivering our service are compelling, we sometimes face novel internet scale problems, such as breaching the limits of AWS services!

By combining speech-to-text with BigQuery's analytics capabilities, you can understand things like customer sentiment and recurring product issues.

Is exploratory testing a solo practice? Is only the QA team responsible for quality? Are the great insights of an exploratory session shared with the team? We’ve been asking ourselves and our users these questions and we’re happy to launch version 3 of the Xray Exploratory App, designed to establish the foundations of collaboration in exploratory testing.

Not long ago, I was handed a problem that’s no stranger to the world of programming: making asynchronous threads communicate effectively within the same process. Given the widespread nature of this issue, I expected to find an existing solution to resolve it. My search led me to the concept of message queue, which seemed promising for streamlining this communication challenge.