Operations | Monitoring | ITSM | DevOps | Cloud

We are thrilled to announce a major update to our Python Connectors line. The release adds support for Python 3.14, PostgreSQL 18, MySQL 9, and MariaDB 12, introduces modern authentication and security options, and delivers notable performance gains across several connectors.

If there’s one thing every IT leader can agree on, it’s this: Manual Active Directory (AD) management never ends. There’s always one more access request, one more approval chain, and one more audit reminder flashing on your screen. By the time you’ve closed your last ticket of the day, there’s already another one waiting. For many teams, 2025 became the year of “we’ll automate next quarter.” But next quarter came and went without any automation.

People often get confused between Monitoring and Observability, using the terms interchangeably in DevOps. However, they represent two distinct yet complementary concepts that play a crucial role in ensuring application reliability and performance. As modern applications evolve, over 90% of new digital services are built using microservices and cloud-native architectures. Traditional monitoring alone can’t provide full visibility into distributed systems.

Almost all companies have some kind of online presence, and if yours doesn’t, it definitely should. In order to make a splash online, your business needs content, webpages, photos, documents, PDFs, videos, you name it. How do you keep track of all the various media? Where do you store it and back it up? What’s the most convenient and safe way to collaborate and share it with employees and freelancers? Enter all-in-one cloud storage services for businesses like Dropbox and Box.

Microsoft Teams is one of the most popular tools for work communication today. Whether you're chatting with your team, jumping on a video call, or sharing files, it helps keep everyone connected. But let's face it – MS Teams isn’t perfect. You’ve probably run into issues like calls dropping, bad audio, or slow Teams performance. These problems can be frustrating, especially when you’re in the middle of an important meeting or deadline.

Application Performance Monitoring (APM) means many things to many people. At its core, it enables developers to diagnose why their applications are slow and helps them provide a better experience to their users. Traditionally, this is accomplished by collecting a lot of data and displaying it in the form of dashboards and request traces. The problems you're trying to solve are generally known up front.

Application configs change over time, often in small ways that are easy to miss. They may start simple — a few environment variables, one exporter, nothing unexpected. As your instrumentation grows, you add rules for filtering health check spans, adjust sampling based on attributes, or introduce environment-specific resource settings. Each change makes sense on its own. But months later, the picture can look different across dev, staging, and production.

Building and shipping an application is exciting, you watch your idea come alive and reach users. But once it’s out there, your real job begins: keeping it alive. An app in production isn’t just code running, it’s a living system. It needs monitoring to stay healthy and alerting to warn when something’s off. But there’s a catch: too few alerts, and you’ll miss real issues; too many, and you’ll drown in noise.