Operations | Monitoring | ITSM | DevOps | Cloud

When drift happens within a database, it can occur at a couple of different levels. Drift refers to entities—tables, views, or even data—out of synchronization with each other. This could be a difference in schema structure, data, or even operational metadata like permissions. Often, drifts happen between two different environments like development and staging databases.

If you’re anywhere in the Queensland region of northern Australia, look out. There’s an eight-foot-nine-inch-long (2.65 meters) crocodile, deceptively named Danny-Boy, who might be looking for a snack. Specifically, if you’re anywhere near -12.975388, 141.987344, you should stay on your toes. That’s the last place Danny-Boy was sighted. So unless you want your pipes to be calling, keep your eyes peeled.

Most developers and administrators think that adding a CDN-hosted static file improves performance. A CDN's fast edge servers cache content and deliver it based on the user’s geolocation. These cached servers are faster than a traditional single hosting server, and developers have received the benefit of convenience.

Today we are happy to announce the release of Icinga for Windows v1.6.0, which we already demonstrated on YouTube last week. This is one of our largest releases so far, as we improve the entire usability, flexibility, and security of Icinga for Windows.

Today we will talk about one of the most versatile elements that Pandora FMS Enterprise offers us for monitoring distributed environments, the Satellite server. It will allow you to monitor different networks remotely, without the need to have connectivity directly from the monitoring environment with the computers that make it up.

Ensuring a seamless customer experience is a growing challenge for digital technology providers. Yet, as functionality and a customer base scale, predictability can become challenging.

The journey to becoming cloud-native comes with great benefits but also brings challenges. One of these challenges is the volume of operational data from cloud-native deployments — data comes from the cloud infrastructure, ephemeral application components, user activity, and more. The increased number of data sources does not only increase datapoint volume – it also requires that monitoring systems store and query against data with higher cardinality than ever before.

One of the largest challenges with network bandwidth metering is the way traffic flows. Traffic comes in bursts. It’s never a constant, predictable stream of data you can measure once, spec hardware for and be done with (wouldn’t that be nice?!). Instead, you need to account for the dynamic nature of bandwidth utilization and its impact on performance. You’ll never be able to predict every burst of traffic your network experiences.