The mem.kernel chart in Netdata provides insight into the memory usage of various kernel subsystems and mechanisms. By understanding these dimensions and their technical details, you can monitor your system's kernel memory usage and identify potential issues or inefficiencies. Monitoring these dimensions can help you ensure that your system is running efficiently and provide valuable insights into the performance of your kernel and memory subsystem.
Netdata provides a comprehensive set of charts that can help you understand the workload, performance, utilization, saturation, latency, responsiveness, and maintenance activities of your disks. In this blog we will focus on monitoring disks as block devices, not as filesystems or mount points. The Disks section in the Overview tab contains all the charts that are mentioned in this blog post.
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.
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.
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.
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.
