PostgreSQL is a popular open-source, object-relational database. As with any other data storage solution, capturing metrics is crucial for making sure your database is reliable, available, and performing optimally. This will help you dig deeper into database performance problems, do performance tuning, optimize queries and indexes, and make partitioning decisions. But that’s not all. You’ll also be able to set up alerts and plan for failures or upgrades.

In today’s digital world, everything comes down to speed. It doesn’t matter if you have the most complex and good-looking site if it takes forever to load. There are various reasons why your web pages may load slowly, but no matter the cause, today I’m going to show you some useful tips and techniques on how to improve your website performance and speedand ensure a smooth user experience. But first things first.

Monitoring is crucial if you want to see what happens in your system and JVM-based applications are not different. Well, some metrics, like memory and garbage collection, require special attention because they play a major role in your application performance. In this blog post, we will look into the key Java Virtual Machine (JVM) metrics that you should monitor if you care about performance and stability. Those are the memory, the garbage collection, and the JVM threads.

Monitoring is not easy. Period. In our guide to Kubernetes monitoring we explained how you need a different approach to monitoring Kubernetes than with traditional VMs. In this blog post, we’ll go into more detail about the key Kubernetes metrics you have access to and how to make sense of them. Kubernetes is the most popular container orchestrator currently available. It’s available as a service across all major cloud providers. Kubernetes is now a household name.

Log management stopped being a very simple operation quite some time ago. Long gone are the “good old days” when you could log into the machine, check the logs, and grep for the interesting parts. Right now things are better. With the observability tools that are now a part of our everyday lives, we can easily troubleshoot without the need to connect to servers at all. With the right tools, we can even predict potential issues and be alerted at the same time an incident happens.

It shouldn’t come as a surprise that website speed is important to your viewers. It’s the first thing they experience after accessing your website. Your website speed is like an unsung hero that you don’t really notice when it works the way it should, but the second it doesn’t live up to the expectations of your users, they will immediately notice it.

Nowadays, most applications we build are composed of microservices and distributed in nature. In such a setup, communication between these microservices is crucial, but can, unfortunately, cause some headaches. The first thing I check when I’m troubleshooting a bug in production is inter-service communication. Having a reliable tool at your disposal to take care of this can reduce a lot of stress. RabbitMQ, a hybrid messaging broker, is one such tool.

Troubleshooting issues in your applications can be a complicated task requiring visibility into various components. In the worst-case scenario, to understand what is happening and why it is happening you will need metrics, logs, and traces combined together. Having that information will give you the possibility to slice and dice the data and get to the root cause efficiently. In this article, we will focus on logs and how to configure logging for your Java applications.

Logging is a crucial part of the observability of your Java applications. Combined with metrics and traces gives full observability into the application behavior and is invaluable when troubleshooting. Logs, combined with metrics shortens the time needed to find the root cause and allows for quick and efficient resolutions of problems.

When it comes to troubleshooting application performance, the more information you have the better. Logs combined with metrics and traces give you full visibility into your Java applications. Logging in your Java applications can be achieved in multiple ways – for example, you can just write data to a file, but there are far better ways on how to do that, as we explained in our Java logging tutorial.