Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Gain real user monitoring insights with Grafana Cloud Frontend Observability

At ObserabilityCON 2022, we announced a limited private preview program for Grafana Cloud Frontend Observability, our hosted service for real user monitoring. Today we are excited to introduce a public preview program that makes Frontend Observability accessible to all Grafana Cloud users, including those in our generous free-forever tier. Simply look for Frontend under Apps in the left-hand navigation of the Grafana Cloud UI and click through to set up the feature. (Not a Grafana Cloud user?

How Logz.io Reduced Internal Logs Volume by 50% Using Data Optimization Hub

Cost optimization has been one of the hottest topics in observability (and beyond!) lately. Everyone is striving to be efficient, spend money wisely, and get the most out of every dollar invested. At Logz.io, we recently embarked on a very interesting and fruitful data volume optimization journey, reducing our own internal log volume by a whopping 50%. In this article, I’ll tell you how exactly we achieved this result.

Swap Memory - When and How to Use It on Your Production Systems or Cloud-Provided VMs

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.

Understanding Context Switching and Its Impact on System 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.

Understanding Linux CPU Consumption, Load, and Pressure for Performance Optimization

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.

Datadog On Caching

Caching (and cache invalidation!) is often mentioned as one of the hardest problems in computer science. While caching can bring substantial performance improvements, reasoning about cached data can be extremely difficult as caching fundamentally means that you are no longer reading from your source of truth. With that in mind, many teams at Datadog needed to build distributed caches to scale their services and keep latency low.