Network monitoring is the process of looking after your network with the help of various tools and techniques. These tools that are often called network monitoring systems constantly track various aspects concerning your network, such as bandwidth usage, traffic, etc. This tracking is important in case of outages as these systems notify the network administrator immediately. Moreover, network monitoring systems are essential for status updates so that you can improve your system’s efficiency.

In this article, we are going to look at Microservice architectures, their benefits, what makes them different from traditional monolithic architectures, and how to go about setting up monitoring and alerting for them. MetricFire is a Hosted Graphite, Grafana, and Prometheus service, where we help you set up and manage these open-source tools. If you would like to follow the steps in this blog, make sure to sign up for MetricFire's free trial and even book a demo session.

What if I told you that monitoring network traffic is a lot less daunting than it actually seems? I think I have your attention. As a network has various moving parts, understanding it all can be a serious challenge. If something breaks or a component stops working correctly, implementing a quick troubleshooting process is essential. If you can't fix the issue right away, this could be detrimental for your end users, leading to more severe complications.

In this article, we are going to look at the architecture of Apache ActiveMQ and how to monitor critical metrics of ActiveMQ using Hosted Prometheus and Hosted Grafana. If you would like to follow the steps in this blog, make sure to sign up for the MetricFire free trial. You can use Graphite and Grafana directly from our platform. MetricFire is a Hosted Graphite, Grafana and Prometheus service, where we do the setup and management of these open-source tools so you don’t have to.

While cloud is seen as the go-to environment for modernizing IT strategies, many security-conscious businesses are still hesitant to adopt a full cloud strategy. A logical middle ground has now emerged: the hybrid cloud. Hybrid cloud promotes the coupling of on-premises infrastructures with one or more public cloud services to meet both cost optimization and security compliancy. Despite its benefits, hybrid cloud computing can present technical and management challenges.

Today, almost every application stack would usually consist of a number of different applications, each performing a specific role and working together towards a common goal. This is the case whether it be that of a fortune 500 company or a computer science student trying to complete a tech project. As such, the stability and reliability of your infrastructure would greatly depend on the performance of each application within that infrastructure.

Dive into the article to learn how to monitor cloud server performance with Graphite and get started on your monitoring needs! Application Performance Monitoring (APM) is a crucial part of the technological era. It refers to a methodological approach towards maintaining and sustaining a system’s health. It is extremely important to monitor an application’s health and performance upon launch, and then regularly afterwards.

Let us get an insight on how Grafana and Prometheus work together for monitoring metrics. Application monitoring is a crucial feature for any successful software offering. Application monitoring in its simplest form refers to collecting metrics on an application and using those metrics to gain an insight to improve the performance and efficiency of the application. Think of it as a cycle. Grafana and Prometheus are probably the most prominent tools in the application monitoring and analytics space.

The best way to reduce your EC2 costs is to integrate MetricFire with CloudWatch. So let us first read what is AWS all about! Amazon Web Services (AWS) is a secure cloud storage and computing services platform that offers a variety of combinations for file storage, database storage, computing options, and content delivery networks.

How do we get started on monitoring AWS Lambda? Let me first introduce you to the term serverless computing. It doesn't matter if you have been in the tech industry only a few months, or you started writing code when Pascal was still considered cutting edge, you probably would have heard the term serverless computing thrown around in recent times. But what exactly is serverless computing?