Operations | Monitoring | ITSM | DevOps | Cloud

10 years ago, Dell and Canonical launched Project Sputnik, an initiative to deliver high-end Dell systems with Ubuntu preinstalled to meet the needs of application developers. Whereas Dell had previously offered lower-end Linux-enabled laptops, this was the first time that customers had access to powerful systems designed specifically for developers. And just like many of the best projects in the developer space, Sputnik was community-focused from the start.

Hunting for a Terraform alternative but not sure about the differences between Puppet vs. Terraform? Both work within the IT automation space, but they are not true alternatives—as we will explore in this article. They are complementary solutions that are used to solve different use cases.

As your MSP business grows and develops, it’s highly likely that at some point you’re going to find that the tools you originally chose to support your business may not be enough for your current needs. Obviously, no vendor wants to lose customers, and we’d all rather make sure you’re using your existing tools to their full capacity. However, there are going to be times when your existing toolset will be holding you back, and you need to know how to spot that.

Netdata is committed to making it simpler and easier for everyone to monitor and troubleshoot their infrastructure. With that goal in mind, we're excited to announce the launch of our new "Functions" feature, which allows Netdata Agent collectors to expose "functions" that can be executed in run-time and on-demand.

In modern observability, Lucene is the most commonly used language for log analysis. Lucene has earned its place as a query language. Still, as the industry demands change and the challenge of observability grows more difficult, Lucene’s limitations become more obvious.

The database is one of the most critical components here at Rollbar and its performance ripples across most of our SLOs. One of our goals last months has been to remove unnecessary or repetitive load from it as much as possible. Caching queries is the 101 solution whenever you need to keep scaling up while maintaining, or even reducing, database costs (very relevant these days). Here’s an example of how just one query has been drastically reduced thanks to caching.