Operations | Monitoring | ITSM | DevOps | Cloud

Amazon Web Services (AWS) is a comprehensive cloud computing platform, providing an array of services to manage a business’s data infrastructure to help it grow and expand. With the wide range of services provided, it has multiple options to provide you with an elastic approach to optimize your costs. However, many users struggle with controlling their expenditure due to a variety of factors. Getting a complete understanding of how to reduce your AWS operational costs may be a daunting task.

StatsD is among the most popular monitoring solutions used to instrument code with the help of custom metrics. It has become very popular over the course of the last few years and emerged as the industry standard for open source inside-the-app monitoring. It has a host of advantageous features that makes it perfect for application performance measurements.

In recent times, Prometheus has become the standard for application monitoring in the tech space. But what exactly is Prometheus? Over the course of this article, we’ll touch on various subtopics to help answer this question, ranging from where it all started, to its architecture and how exactly it does monitoring. We'll address the various possible integrations/tools that can be used alongside Prometheus, and why Prometheus is a great tool for monitoring these platforms and applications.

In this article, you’ll learn the basics of MongoDB. We’ll cover its performance metrics, built-in monitoring commands, utilities and tools, and common monitoring strategies. You will also be introduced to a monitoring tool called MetricFire and provided with some examples of how it can be used in production systems together with setup instructions.

The reliability and stability of your services directly depend on how well you understand the state of your infrastructure and services. A great monitoring system will allow you to understand your infrastructure better. Monitoring the performance of your system allows you to not only fix current problems but also make changes to your infrastructure to avoid them in the future.

Prometheus and Grafana are powerful monitoring solutions. Combined together, you can build insightful monitoring metrics and display analysis on a beautiful dashboard. Among many external systems and applications, you can also monitor RabbitMQ with both toolkits. To integrate RabbitMQ into your Prometheus and Grafana, you can try MetricFire that provides hosted solutions for Prometheus and Grafana.

Apache Hadoop is an open-source software framework that can process and distribute large data sets across multiple clusters of computers. Hadoop was designed to break down data management workloads over a cluster of computers. It divides data processing between multiple nodes, which manages the datasets more efficiently than a single device could. Here is our list of the best Hadoop monitoring tools.

If you are a part of an engineering organization it is highly likely that you have heard the latest buzz words “containers”, “docker” and “kubernetes”. Today we will try to demystify these terms for you. Sit tight, it's going to be very interesting.

The performance of your APIs is a critical factor that influences the success of a project. After implementation, you will want to constantly monitor your APIs. You may want to monitor response time on a regular basis or you may have more extensive monitoring scenarios. MetricFire specializes in monitoring systems, including APIs. You can use our product with minimal configuration to gain in-depth insight into your environments.

In today’s world, with many microservices fuelling hundreds of components, the failure of just one piece can cause a crash for the whole system. For example, a lack of memory in one component can cause a database failure. This database failure could be the reason for authentication problems for particular users, causing those users to not be able to login. And of course, finding the core problem manually can be complex and time-consuming.