As software systems grow more complex, ensuring reliable performance and delivering a seamless user experience becomes increasingly challenging. Product teams need the ability to track and analyze system behavior in real-time, allowing them to address issues before they affect users. Product observability offers a proactive approach, enabling teams to gather data, monitor system health, and make informed decisions based on a complete view of both infrastructure and user interactions.

When building web applications, it's handy to break down a feature's complex processes into smaller, more manageable pieces, whether by using separate functions or classes. Doing this helps to keep the code clean, maintainable, and testable. An approach you can take to split out these smaller steps in your Laravel application is to use Laravel pipelines. Pipelines allow you to send data through multiple layers of logic before returning a result.

Learn how to accelerate and ensure impactful AI initiatives by leading with optimal data strategies.

The upcoming PHP 8.4 release will include the brand-new feature “property hooks”, a mechanism to add logic to a class property when read from or written to. One benefit of this feature is that you do not need to protect property access with a private property and public getter/setter methods anymore. You can find out how this feature works in the RFC and other places, but in the spirit of this blog we want to focus solely on the performance implications.

Introducing M2 Pro machine types— the latest addition to Bitrise's Apple Silicon offering. Choosing the right Apple Silicon Machine is essential to delivering value to customers when developing, releasing, and managing iOS apps. We are proud to be one of the first companies to offer our customers access to the latest and greatest machine, the M2 Pro.

Coding assistants are quickly becoming essential tools in the software development process. By 2028, it’s expected that 75% of enterprise software engineers will rely on AI-powered coding assistants, a huge jump from less than 10% in early 2023, according to Gartner. The reason for this sharp increase is clear — AI coding assistants can boost developer productivity by up to 45%. This helps streamline tasks like code generation, review, and documentation, compared to traditional methods.

Imagine you're a postal worker sorting through a mountain of packages. Some packages are ticking suspiciously, while others are leaking mysterious liquids. As a responsible postal worker, you have two choices: deal with these problematic packages yourself (throw) or slap a big "HANDLE WITH CARE" sticker on them and pass them along to the next person in line (throws). Think of throw as actually creating an error in your program. You use it when something goes wrong and you want to stop the program.

As one of the most widely used libraries in the Python ecosystem, pandas helps developers analyze, load and transform data across data science, data engineering and machine learning. The flexibility and ease of use of the pandas API have driven rapid growth in popularity, with pandas being used by one in every five developers, according to the StackOverflow 2024 Developer Survey.

The insurance industry has undergone a massive transformation over the last 20-30 years. Customer service and business processes that were once done on paper or over the phone are now completed via web and mobile experiences. As a result, manual paperwork and tasks have gradually become automated via software solutions. For the insurance customer, this transition has led to faster and more predictable experiences.

DreamFactory specialises in REST API generation for any number of database types however an underrepresented benefit is the ability to mount and manage any third party API via a HTTP service connector. This gives you the ability to generate documentation and secure an existing API as if it were created natively within DreamFactory.