Systems | Development | Analytics | API | Testing

API traffic now accounts for 57% of all Internet activity, fueled by AI adoption and the growing demand for real-time data. But this surge comes with challenges: complex development, lack of standardization, and security risks. Automated API generation is the solution.

Note: A version of this article was originally published on CIO Influence. Burnout is widespread in the world of software engineering. According to a 2023 report, 73% of developers have experienced burnout at least once in their careers, and work-life balance has been cited as a key driver of developer satisfaction. Luckily, there are tools and strategies that teams can implement to reduce mental load, prevent burnout, and improve overall developer wellbeing.

Building responsive and efficient applications in our rapidly-evolving digital world is more crucial now than ever. As software developers, we constantly look for ways to boost performance and improve the user experience. One such method is employing multithreading, a widely used yet often misunderstood feature. This comprehensive guide will dive deep into C# threading and multithreading. We’ll unpack what they are, their differences, and when and how to use each.

Tracing is a critical feature in N|Solid that allows developers to analyze application performance by visualizing the relationships between different processes through spans and traces. Without proper tracing, debugging performance issues becomes significantly more challenging, as developers lack visibility into how requests flow through an application. Tracing helps pinpoint bottlenecks, optimize request execution, and improve overall application efficiency.

When working with data, applications sometimes need to process elements in a specific order, as opposed to the order in which data arrives. That’s where priority queues come in. Unlike regular queues, which follow a first in, first out (FIFO) principle, a priority queue processes elements based on their priority. Think of it as a VIP line at an exclusive event – the highest-priority guests always jump the queue, regardless of when they arrive.

Every iOS developer dreams of faster builds, but getting there isn't always straightforward. The reality is, mobile development is a complex process. There are many factors beyond your control—like legal considerations, device compatibility, and app store approvals—that can cause delays and slow things down. The good news is there is one way to speed up your builds without having to cut corners or sacrifice quality: Introducing the Apple M4 Pro Mac Mini on Bitrise.

When speaking with platform teams who are responsible for setting up their organizations’ API platforms, we often hear: "We really want to offload the infra side of this. We don’t want our engineers spinning up their own locally hosted infrastructure or asking other infrastructure teams to do this.

If you've ever found yourself tangled up in the complexities of setting up CI/CD pipelines, you're familiar with the challenge of mapping code events with build triggers. At times, you may wish to initiate a few checks, while at other times, you prefer to execute several checks at once. It can be slow and, at times, frustrating to ensure that only those CI checks are triggered that are relevant to the code change. A better, more scalable approach? Target-based triggering.

Mobile data provides the eyes and ears of a modern business. It helps us understand where our audience is, what they want to know and what they respond to most enthusiastically. And it can make our apps run faster, too. In a world of ever-increasing consumer choice, this kind of stuff doesn’t just matter. It’s crucial. However, while mobile data can lead to new ideas, it can also be very dangerous if not used properly.