User experience is key to ensuring the success of your website. There are many metrics that help you gauge and improve it, but Core Web Vitals are probably the most important ones. They are a set of real-world, user-centered metrics that quantify key aspects of the user experience. By measuring dimensions of web usability such as load time, interactivity, and the stability of content as it loads, Core Web Vitals help you understand how your website is doing in terms of performance.
Apache Tomcat is the Java web server that implements many Java features like web site APIs, Java server pages, Java Servlets, etc. It’s an open-source software widely used in the industry. Tomcat sits on top of your application and is the entry point for reaching your application code. It is crucial to monitor its performance and make sure everything works, get notified when unexpected errors occur, and take action in real-time.
This article is the third of a four-part series of articles about Elasticsearch monitoring. In the first article, we put together an Elasticsearch guide, covering how Elasticsearch works and why the setup and tuning of Elasticsearch requires a good knowledge of configuration options and performance metrics.
The success of your website lies in how satisfied your users are with it. To help ensure the quality of your user experience, Google uses various signals from a web page. The three Core Web Vitals are some of the most important ones. In this article, I’ll talk about what each Core Web Vital means and how to optimize them to deliver a better user experience.
With Solr 9 the Autoscaling Framework was removed – for being too complex and not terribly reliable – and instead we have Replica Placement Plugins. Unlike Autoscaling, replica placement only happens when you create a collection or add a new replica. Hence the name: it’s about where to place these new replicas. In this article, we’ll look at the available replica placement plugins, what you can use them for and how to use them.
When it comes to centralizing logs to Elasticsearch, the first log shipper that comes to mind is Logstash. People hear about it even if it’s not clear what it does: – Bob: I’m looking to aggregate logs – Alice: you mean… like… Logstash? When you get into it, you realize centralizing logs often implies a bunch of things, and Logstash isn’t the only log shipper that fits the bill.
Monitoring the performance of an application is not a strange concept to most developers. At one point or another, we’ve all had to do some performance debugging of our own. Usually, it happens when there’s a big issue affecting the user’s experience or cost implications. Only then do we make time to look at how the app performs in different scenarios.
