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.

PostgreSQL is an open-source relational database that is highly flexible and reliable and offers a varied set of features. Even though it is a complex database, it provides great integrity and performance. Also, you can deploy it on multiple platforms, including a light version for websites and smartphones. Because you can deploy Postgres in different ways, it comes out of the box with only some basic performance tuning based on the environment you’re deploying on.

Ubuntu provides extensive logging capabilities, so most of the activities happening in the system are tracked via logs. Ubuntu logs are valuable sources of information about the state of your Ubuntu operating system and the applications deployed on it. The majority of the logs are in plain text ASCII format and easily readable. This makes them a great tool to use for troubleshooting and identifying the root causes associated with system failures or application errors.

Monitoring distributed systems like MongoDB is very important to ensure optimal performance and constant health. But even the best monitoring tool will not be efficient without fully understanding the metrics it gathers and presents, what they represent, how to interpret them, and what they affect. That’s why it is crucial not only to collect the metrics but also to understand them.

HAProxy is generally the frontend layer of your application, which means it plays a critical role since all traffic first lands on this layer. Because of this, you need to make sure everything is working at this layer all the time, as any issue can directly impact your business. Therefore, having visibility on this layer is crucial. Visibility can come from two aspects: the metrics HAProxy emits and the logs it generates while handling requests.

Redis is an open-sourced, BSD 3 licensed, highly efficient in-memory data store. It is used widely in the industry because of its incredible performance and ease of use. It can easily be used as a distributed, in-memory key-value store, cache, or message broker. It can hold virtually any data structure, making it highly versatile. Redis was architectured and developed with speed in mind and designed to keep all the data in memory.

Logs are a critical aspect of any production workload, as they give you insight into what is happening in your system and tell you which components may be having issues. The traditional method of looking at logs involves basic Linux commands like tail, less, or sometimes cat.