Operations | Monitoring | ITSM | DevOps | Cloud

It’s been a busy month at StatusGator HQ as we focused on improvements to the status page — one of many features that helps you communicate the status of all your cloud services to your stakeholders. Here’s a quick recap of this month’s updates. Let’s take a look at what we’ve rolled out! As a reminder, you can see all these updates here on the blog as they are released or in our product update sidebar inside StatusGator.

Since its early startup beginnings in Amsterdam, Booking.com has redefined the travel industry, establishing itself as a premier platform for millions of travelers worldwide. With over 28 million accommodation listings and a staggering 1.5 million room nights booked every day, Booking.com operates on a scale that demands a robust and constantly monitored infrastructure.

We’ve overhauled the search backend that powers the Item List UI and Item Search API. Item Search is now far more powerful, working with custom fields and nearly all the data you send Rollbar. Searches return quickly and return the results you'd expect.

When writing CFEngine policy we create files ending in the.cf extension but this alone won’t cause the policy to be parsed and evaluated. By default cf-agent runs ${sys.inputdir}/promises.cf. For a non-privileged user running cf-agent this will be in their $HOME directory.

In our last blog post we talked about how you can use Intel QAT with Canonical Ceph, today we’ll cover why this technology is important from a business perspective – in other words, we’re talking data storage costs. Retaining and protecting data has an inherent cost based on the underlying architecture of the system used to store it.

As enterprises migrate to hybrid cloud environments, they face mounting pressures to manage complexities while cutting costs. Many turn to Managed Service Providers (MSPs) to streamline IT service delivery and drive results faster. For MSPs, this is both an opportunity and a challenge: the surge in hybrid cloud adoption, an explosion of observability tools, and rising operational costs push them to act decisively.

Many companies migrate to the cloud and overlook costs in favor of innovation, speed, and flexibility. They assume that the cloud is inherently more cost-effective than on-premises infrastructure. However, the organizations soon realize that the same characteristics that make the cloud such an enticing and flexible resource can also lead to unexpectedly higher usage bills than expected. The challenge is to find the right balance between optimal system performance, engineering velocity, and cost.