The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
In the Azure Monitor Learning Path, we talked about metrics and collecting data in a Log Analytics workspace to be operated on with KQL. As a part of it, we also talked about Monitoring Solutions and how they help you collect data into the workspace that is more focused for specific purposes. In that series, our main focus was on the Log Analytics Agent and I briefly talked about Diagnostics extension.
User experience is the biggest and most important factor in determining the success of Citrix rollout in an organization. When end-users are happy with their virtualized applications and desktops, then everything is hunky dory and Citrix admins can focus on operations and maintenance.
The easiest way to get started with Icinga is a single-node installation. If you are new to the Icinga world, here you have a kickstart for installing Icinga 2, Icinga Web 2 and Icinga Director on CentOS 7. With these steps you will have a ready Icinga environment for monitoring your infrastructure.
The introduction of e-commerce stores has made life so easy for the people. It does not make a difference if you are the consumer or a seller. For a seller, it provides the opportunity to express the worth of their brand and product(s). For a consumer, it gives them an all in one platform, where they can shop for multiple categories. With this, the most significant ease for both parties is to opt for e-commerce business is that you can do all this without taking a step out of their house.
In this tutorial, we’ll use the BIRCH (balanced iterative reducing and clustering using hierarchies) algorithm from scikit-learn with the ADTK (Anomaly Detection Tool Kit) package to detect anomalous CPU behavior. We’ll use the InfluxDB 2.0 Python Client to query our data in InfluxDB 2.0 and return it as a Pandas DataFrame. This tutorial assumes that you have InfluxDB and Telegraf installed and configured on your local machine to gather CPU stats.
Metrics and logs go together like cookies and milk. Metrics tell you when you have a problem, and logs/events often tell you why that problem happened. But it’s always been harder than it needed to be to get both types of data onto a single screen, especially when the sysadmins using the tools aren’t necessarily daily experts in managing those monitoring platforms.
Out-of-memory (OOM) errors take place when the Linux kernel can’t provide enough memory to run all of its user-space processes, causing at least one process to exit without warning. Without a comprehensive monitoring solution, OOM errors can be tricky to diagnose. In this post, you will learn how to use Datadog to diagnose OOM errors on Linux systems.
Looking to get some REST endpoints monitors quickly? Follow the below steps to setup a could REST monitors in about 15 minutes (weather in this demo).
A well-crafted status page is designed to save you time, energy, and resources when communicating service irregularities. Instead of fielding thousands of support requests when you experience an outage, a status page provides a self-service way for your customers to get up-to-the minute information about any current downtime. It also allows you to proactively communicate maintenance and other work in advance.
