The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Business growth can be measured by the performance of IT infrastructure, which is an integral part of any organization. According to research done by Riverbed, 73% of C-suites say that granular visibility into the network and other components opens the door for business innovation. Simply put, fostering the growth of business health lies in enhanced visibility and well-organized management of IT infrastructure.
Datadog’s template variables help you quickly scope your dashboards to specific contexts using tags, so you can visualize data from only the hosts, containers, services, or any other tagged objects you care about. This helps you build more flexible dashboards so you can access the insights you’re looking for as quickly as possible. We’re proud to announce new features for the template variable workflow that enable you to make highly dynamic, shareable dashboards more efficiently.
A good deal of sites redirect visitors to a specific more relevant page. Think, for instance, of a site that redirects you from / to a page in a relevant language, for instance /en or /nl. A single redirect is often not a problem, but having multiple redirects in a chain can hinder your site's user experience. Modern browsers also limit the number of redirects.
Take a look at the two versions of the website below. Can you can spot the one that has a website performance mistake that would result in a £2.5 million loss in sales each year? It’s impossible to tell from the screenshots above because they appear identical.
Monitoring an application’s performance is the basics of building a successful software product. With the popularity that Rails has always been riding on in the start-up world, it makes all the more sense to look for tools that help you keep your Ruby on Rails application in shape. In this guide, we will look at some of the top APM tools for Rails applications and compare them along some standard benchmarks to help you get an insight into which tool fits your use case the best.
In this article, you’ll learn, through an example, how to configure Keda to deploy a Kubernetes Horizontal Pod Autoscaler (HPA) that uses Sysdig Monitor metrics. Keda is an open source project that allows using Prometheus queries to scale Kubernetes pods. In Trigger a Kubernetes HPA with Prometheus metrics, you learned how to install and configure Keda to create a Kubernetes HPA triggered by a standard Prometheus query.
In this article, you’ll learn how to configure Keda to deploy a Kubernetes HPA that uses Prometheus metrics. The Kubernetes Horizontal Pod Autoscaler can scale pods based on the usage of resources, such as CPU and memory. This is useful in many scenarios, but there are other use cases where more advanced metrics are needed – like the waiting connections in a web server or the latency in an API.