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.

Table of Contents When an application written for the Java Virtual Machine is running, it constantly creates new objects and puts them on the heap. Well, at least in the vast majority of the cases. Such objects can have a longer or shorter life, but at some point, they stopped being referenced from the code. Unlike languages like C/C++, we don’t have exact control over when the memory will be freed – freeing the memory is the garbage collector’s job.

Table of Contents Uptime is the metric that measures perhaps the most critical aspect of your business, its availability. If you think about it, having a website that does many really cool things, paying tons of money on ads to bring people to it, and even spending all those hours on making your website look great won’t amount to anything if it doesn’t work.

As your business grows, so will the number of components in your infrastructure, making manual monitoring impossible without the proper tools. Be it performance metrics, availability status, or application component logs, you need a tool that provides end-to-end visibility into the health of your infrastructure. To help you get started, we’ll compare some of the best infrastructure monitoring tools and software, both open source and paid, available today.

Table of Contents Setting up and administering multiple servers for business and application purposes has become easier thanks to advancements in cloud technology. Today, enterprises are choosing to operate large numbers of servers both in the cloud and in their data centers to meet the ever-increasing demand. As a result of these changes, monitoring technologies have become crucial. In this post, we’ll explore the best server monitoring tools and software currently on the market.