Operations | Monitoring | ITSM | DevOps | Cloud

We all know that testing new ideas on physical IT infrastructure requires a massive upfront cost. That's why businesses adopt cloud infrastructure setups. These setups offer on-demand resources, which allow you to start new projects and pay for only what you use. This eliminates the need for expensive hardware and maintenance, enabling flexibility that organizations require.

IIS (Internet Information Services) is a web server developed by Microsft, shipped as a part of the Windows Server services. It’s used to host and manage web applications and services. IIS is a particularly robust web server solution that is tightly integrated with the Windows operating system, making it a natural choice for organizations that rely on other Microsoft products.

A few weeks ago, members of Mezmo were at Kubecon and attended several sessions. You can see a post with my recap and session highlights. Today, though, I’m going to discuss three sessions that my colleagues found interesting for our peers in Observability.

Ever wondered how many NetFlow exporters or edge routers you have configured on your core switches? What if I told you that every exporter uses ~0.2% bandwidth in overhead? While that may not seem like much (and it has been a few years since most network engineers were worried about CPU overhead for NetFlow exports), older hardware and network OS versions may be more sensitive to having multiple flow exporters configured.

If you're new to working with data, you might have heard of databases and data warehouses. But do you know what sets them apart? Knowing the differences between data warehouses and databases can clear up a lot of confusion for many people, especially with the volume of data we have these days. In this blog post, I'll discuss the differences between these two types of data systems. I'll also provide some examples to help illustrate the points made.

Learn how to manage and view systemctl logs in Linux with this guide, covering essential commands and best practices for troubleshooting.

Master Python logging with structlog! Learn how structured logs improve debugging, observability, and performance in your apps.