Talking about too many cybersecurity alerts is not talking about the story of Peter and the Wolf and how people end up ignoring false warnings, but about its great impact on security strategies and, above all, on the stress it causes to IT teams, which we know are increasingly reduced and must fulfill multiple tasks in their day to day.

Today, many companies generate and store huge amounts of data. To give you an idea, decades ago, the size of the Internet was measured in Terabytes (TB) and now it is measured in Zettabytes (ZB). Relational databases were designed to meet the storage and information management needs of the time. Today we have a new scenario where social networks, IoT devices and Edge Computing generate millions of unstructured and highly variable data.

Today, digital trust is required inside and outside the organization, so tools must be implemented, with cybersecurity methods and best practices in each layer of your systems and their infrastructure: applications, operating systems, users, both on-premise and in the cloud. This is what we call System Hardening an essential practice that lays the foundation for a safe IT infrastructure.

From the computer, we increasingly perform different tasks simultaneously (listening to music while writing a report, receiving files by email and downloading videos), which involve executing commands, and sending and receiving data. Over time, computer performance can suffer if CPU usage is not optimized. But what is a CPU?

Collectd is a daemon (i.e. running in the background on computers and devices) that periodically collects metrics from different sources such as operating systems, applications, log files, and external devices, providing mechanisms to store values in different ways (e.g. RRD files) or makes it available over the network. With this data and its statistics you may monitor systems, find performance bottlenecks (by performance analysis) and predict system load (capacity planning).