As the world grapples with the escalating climate crisis, many industries are re-examining their operations to identify and implement sustainable practices. The telecommunications industry is no exception. Telecom companies face growing pressure from consumers, investors and regulators to reduce their carbon footprint and achieve net-zero emissions. This shift towards sustainability aligns with environmental responsibility and presents lucrative business opportunities for telecoms.

Imagine you’re a miner with a canary in a cage. If the air is toxic, the canary reacts first, giving you a heads-up. Canary testing works in a similar fashion for your software. Instead of releasing the whole flock (users) into a potentially toxic or buggy environment, you release just one canary (a small subset of users) to test the waters.

We are thrilled to announce the public beta release of Multiplayer, a platform created to transform the way teams design, develop, and manage distributed software.

Exceptions and exception handling are widely accepted concepts in most modern programming languages. Even though they're not as prevalent in Elixir as in object-oriented languages, it's still important to learn about them. In this article, we will closely examine exceptions in Elixir, learning how to define and use them. Let's get started!

MISRA C++:2023®, the next version of the MISRA C++ standard, is here! To help you understand the changes between MISRA C++:2023 and the previous version, we continue our blog series by Perforce Principal Technical Support Engineer, Dr. Frank van den Beuken, with this third installment. In the first two blogs, we introduced you to the new MISRA C++ standard and the history of C++. In this blog, we take a closer look at a specific rule centering on for-loops in C++.

Data is often described with cliches like, it's "the new oil" or “the new air.” No matter how you describe it, there is no denying the increasing importance of data monetization across every industry. Forward-thinking organizations recognize data apps as both a revenue stream and a differentiated service to increase customer loyalty.

Gen AI is quickly reshaping industries, and the pace of innovation is incredible to witness. The introduction of ChatGPT, Microsoft Copilot, Midjourney, Stable Diffusion and many more incredible tools have opened up new possibilities we couldn’t have imagined 18 months ago. While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector.