Operations | Monitoring | ITSM | DevOps | Cloud

Developer productivity is ultimately a measure of the efficiency and effectiveness with which software developers produce high-quality code and complete projects. Where this becomes a bit more complicated is in the relationships between those efforts and the measurements that reflect them.

We’ve been on a release spree recently, and it seems not to show any signs of stopping. This time, we’ve got some good news for the users of SecureBridge, our top-tier library of client and server components for SSH, SFTP, FTPS, HTTP/HTTPS, SSL, WebSocket, and SignalR protocols. Today, we have rolled out an update of SecureBridge with a few nifty enhancements that will keep your experience with it at an all-time high.

PostgreSQL is a popular open-source relational database management system (RDBMS) known for its flexibility, scalability, and extensibility, offering a wide range of features. However, for large, enterprise-level projects, PostgreSQL’s capabilities may not be sufficient, leading developers to explore alternative systems. One such solution is Fujitsu Enterprise Postgres, a PostgreSQL-based database enhanced with commercial features designed to meet the demands of larger projects.

An organized inventory for monitoring using ManageEngine OpManager is essential for resolving network issues and optimizing performance. Configuring and updating monitoring settings is easier and more efficient when devices and interfaces are organized into subgroups and supergroups. For instance, say you’re monitoring 500 or more devices.

‍ While Scout provides powerful monitoring tools (try it now!) mastering logging is an awesome complement to these skills. In this post, we’ll see how to create readable, actionable logs for both humans and machines. You’ll improve your logging strategy, drastically reduce troubleshooting time, and put yourself in the best possible position for maximum observability. As a starting example, let’s take this error log.

Modern observability platforms are transforming how organizations handle application performance monitoring and troubleshooting.

As the world moves towards sustainability, IT operations and digital workspaces are becoming critical in achieving corporate sustainability goals. The digital transformation of businesses—especially in light of hybrid and remote working models—has increased the demand for IT infrastructure, which in turn raises concerns about energy consumption, carbon emissions, and environmental impact.

In Rails, we're more likely to use SQL databases than other frameworks. Unlike NoSQL databases, which can be scaled horizontally with relative ease, SQL databases like PostgreSQL or MySQL are much less amenable to easy scaling. As a result, our database usually becomes the primary bottleneck as our business grows. Although SQL databases are very efficient, as our growing customer base puts an increasing load on our servers, we begin scaling our instance counts, workers, etc.

In the first part of this series, we explored how AppSignal can significantly enhance the robustness of Open edX platforms. We saw the challenges that Open edX faces as it scales and how AppSignal's features — including real-time performance monitoring and automated error tracking — provide essential tools for DevOps teams. Our walkthrough covered the initial setup and integration of AppSignal with Open edX, highlighting the immediate benefits of this powerful observability framework.