Operations | Monitoring | ITSM | DevOps | Cloud

Due to the growing usage of online methods for almost everything globally, technology has become a part of our daily lives. Most people around the world are using mobile apps and websites. Most of the companies are already adopting brand-new tech stacks faster. They are trying hard to implement all the features and make their system robust and powerful. But it is not easy to make an application error-free. It is impossible to track all the issues, reproduce them, and fix them before shipping code.

Modern customers demand that their applications are as seamless and error-free as possible. However, building such apps is a herculean task in itself. You need to constantly look out for incoming exceptions and warnings in your app in production. Effective error monitoring is key to resolving such issues before they are discovered by your users and cause a disruption in the quality of your services.

Monitoring of released software is an essential part of its lifecycle. There are various tools for monitoring software, but Prometheus is definitely a favorite tool for monitoring different metrics for your application. It allows you to collect metrics, process, filter, aggregate, and finally represent them in a human-readable format.

Keeping an eye on metrics is one of the essential things that every developer should do for their applications. Prometheus is a tool that has gained a lot of popularity in the field of metrics. When you start with Prometheus, you may not recognize its potential at first because it takes time to explore the entire tool. But once you become acquainted with the features, you will find it highly useful.

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.

Kubernetes is among the emerging open-source products expanding in the market at a very fast rate. It is a portable, extensible, and open-source platform used for managing containerized workloads and services. Companies are widely adopting it for the development of their major products. Docker is always used for running Kubernetes servers on local systems for testing purposes. It becomes essential for companies to monitor their Kubernetes container.

Currently, the world generates an unprecedented amount of data. Research shows that the world generated more data in the last two years than the amount of data produced in the history of the human race. The most critical part of this entails analyzing the generated data and observing trends. It's at this point where tools like Scout APM, Datadog, and AppDynamics become crucial. Working with an unprecedented amount of data means tackling millions/thousands of distinct data points.

The current big data world allows even tiny IT environments to produce massive amounts of information. After determining how to open up various data generation sources, a business analyzes the information. Here, the analysis method you leverage varies depending on the data, the tools/equipment used, and the use case. A good practice is to visualize the traces, weather logs, data, or metrics.

Application performance monitoring (APM) is important for the development of any web app. But monitoring software is not an easy process; you have to observe various metrics and be calculative in observing measurements like the application’s speed, error percentage, memory bloat, number of API calls per day, and much more.

We all need an application that can run smoothly, but this is not what we always get. After creating an application and putting it to use, you need to check and know when it faces exceptions/errors. As a result, this explains why the current market features several error tracking tools. Airbrake falls under the top-notch error monitoring tools used for log analysis and log management. However, it’s not without its problems.