Scalability is crucial for monitoring systems as it ensures that they can accommodate growth, maintain performance, provide flexibility, optimize costs, enhance fault tolerance, and support informed decision-making, all of which are critical for effective infrastructure management.
As a system administrator, understanding how your Linux system's CPU is being utilized is crucial for identifying bottlenecks and optimizing performance. In this blog post, we'll dive deep into the world of Linux CPU consumption, load, and pressure, and discuss how to use these metrics effectively to identify issues and improve your system's performance.
Context switching is the process of switching the CPU from one process, task or thread to another. In a multitasking operating system, such as Linux, the CPU has to switch between multiple processes or threads in order to keep the system running smoothly. This is necessary because each CPU core without hyperthreading can only execute one process or thread at a time.
Swap memory, also known as virtual memory, is a space on a hard disk that is used to supplement the physical memory (RAM) of a computer. The swap space is used when the system runs out of physical memory, and it moves less frequently accessed data from RAM to the hard disk, freeing up space in RAM for more frequently accessed data. But should swap memory be enabled on production systems and cloud-provided virtual machines (VMs)? Let's explore the pros and cons.
Interrupts, softirqs, and softnet are all critical parts of the Linux kernel that can impact system performance. In this blog post, we'll explore their usefulness, and discuss how to monitor them using Netdata for both bare-metal servers and VMs.
The different states of system processes are essential to understanding how a computer system works. Each state represents a specific point in a process's life cycle and can impact system performance and stability.
It's becoming increasingly common to discuss the importance of scalability in monitoring solutions and how it can impact the performance and reliability of distributed systems. In today's rapidly evolving technological landscape, organizations are increasingly relying on distributed systems to power their operations. These systems consist of multiple interconnected components that work together to deliver a cohesive experience.
Introduction to Netdata's new visualisation providing AI Insights, supporting Rapid Diagnostics.
Need to monitor a UNIX-like system, but can’t install Netdata on it? With our SNMP collector and Net-SNMP, you can get basic system information with just a bit of relatively quick and easy configuration.
The menu (on the overview or single node tab) now has an anomaly rate button built into it that, for the entire visible window or a highlighted time range, shows the maximum chart anomaly rate within each section. Read on to learn more about this new feature!
