Operations | Monitoring | ITSM | DevOps | Cloud

Node.js logging, like any form of software instrumentation, isn’t an easy thing to get right. It takes time, effort, and a willingness to continue to iterate until a proper balance is struck. There are so many points to consider, including: Previously, here on the Loggly blog, I began exploring these questions in the context of three of the most popular web development languages: PHP, Python, and Ruby. But these aren’t the only popular languages in use today.

Learn the biggest obstacles with load test automation, and how existing user traffic holds the key to scaling eCommerce software safely, and fast.

As data centers become increasingly decentralized, managing them remotely is now a must-have skill. Data center professionals need to maintain uptime, increase efficiency, and boost productivity across all their global sites without leaving their desk. While this might have once seemed near-impossible, with the right tools and processes, remotely managing your data center can be even better than physically being there.

While the growth trajectory for data in general is extraordinary, it is the growth of log files that really stand out. As the heartbeat of digital enterprise, these files contain a remarkable amount of intelligence – across a stunning range, from security to customer behavior to operational performance. The growth of log files, however, presents particular challenges for the enterprise. They are not “readable” per se, they require machine intelligence.

Just conducting one type of testing is generally not enough. For example, let’s say you decide to perform unit testing only. However, unit tests only verify business logic. Many other types of tests exist to verify the integration between components, such as integration tests. But what if you want to measure the maximum performance of your application? Or what if you want to know how the application behaves under extreme stress?

We're excited to announce the general availability of the new "Clone Service" feature on Qovery, which is built to augment the capabilities of our platform and to cater to our user needs more effectively. Qovery has always prided itself on being a user-centric platform, and this new feature continues to uphold that tradition.

Data has become a critical asset in today’s digital era, making its storage, management, and accessibility crucial to many organizations’ operations. Microsoft’s Azure provides a suite of cloud storage solutions designed to address these needs. Among the tools provided by Azure is AzCopy, a command-line utility designed to simplify data transfer to and from Azure Blob, File, and Table storage.

Cloud monitoring is like a health check-up for our online spaces. It tells us what's going well and what we need to improve. It is critical because it lets us fix problems before they get too big and helps our online services work at their best. This article talks about how we can use MetricFire to monitor DigitalOcean environments.