An audit and error trail is one of the core pillars of a well-designed software application, regardless of the programming language used to build it. This trail typically comes in the form of logging. When your application produces useful, rich logs, you are better equipped to successfully maintain a production-grade system and troubleshoot any issues that might arise. When it comes to distributed Python applications, having correlated logs for each system is important for debugging.

We all know that a website’s performance can make or break your business. Whether you’re running an e-commerce store, SaaS platform, or content-rich website, ensuring that your site is always up, and running is non-negotiable. A single instance of downtime can result in lost revenue, decreased customer trust, and a tarnished reputation. Website monitoring tools are essential for proactively identifying issues, ensuring optimal performance, and providing a seamless experience for your users.

This post was written by David Chang, Staff Software Engineer at Pinterest, and originally posted on the Pinterest engineering blog on Medium. Develocity, formerly known as Gradle Enterprise, is a powerful tool that speeds up local and CI build time, helps troubleshoot your builds, and analyzes your data. At Pinterest, we have a dedicated team, Mobile Builds, and we ensure that developers can build fast and often. This enables developers to be more productive by getting faster feedback on their code.

Monitoring is personal. Different systems, workloads, and use-cases mean different charts matter to different users. Netdata now makes it easier than ever to customize your experience by letting you favorite charts you care about most.

Observability refers to the ability of the DevOps team to track, monitor, and measure the state of their pipeline and operations. Without observability, you are working in the dark, unaware of what is working. With the growing complexity of modern IT systems, DevOps observability is no longer optional. Gartner estimates that by 2026, 50% of enterprises implementing distributed data architectures will have adopted data observability tools, up from less than 20% in 2024.

At FireHydrant, we believe that what happens after incidents is just as important as what happens during – and that’s why Retrospectives have always been a cornerstone of our product. Today, we’re proud to introduce the most powerful, customizable, and collaborative retrospective experience you’ll find anywhere.

Slow database queries drag down performance for both developers and users. They waste resources, slow down testing, and frustrate customers with laggy experiences. But often, there’s a surprisingly simple fix: indexing. Here’s how indexing works and when to use it, regardless of your schema.