In part I of this blog series, we understood that monitoring a Kubernetes cluster is a challenge that we can overcome if we use the right tools. We also understood that the default Kubernetes dashboard allows us to monitor the different resources running inside our cluster, but it is very basic. We suggested some tools and platforms like cAdvisor, Kube-state-metrics, Prometheus, Grafana, Kubewatch, Jaeger, and MetricFire.

‍In the fast-evolving landscape of technology and software applications, ensuring optimal performance and reliability has become paramount. This article delves into two powerful tools that facilitate effective monitoring and management of digital systems: Prometheus and AppDynamics. With a focus on different aspects of application performance, these tools offer distinct advantages to businesses aiming to elevate their user experiences and operational efficiency.

API Gateways are vital components in today's digital landscape, facilitating seamless communication between systems and applications. To ensure optimal performance, monitoring API Gateways is crucial. MetricFire offers a comprehensive monitoring platform that tracks and analyzes key metrics, providing real-time insights into performance indicators such as latency, error rates, and throughput.

This section outlines how to install and set up Hosted Graphite independently. MetricFire's product, Hosted Graphite, runs Graphite for you so you can have the reliability and ease-of-use that is hard to get while doing it in-house.

The security camera is one of the most prevalent IoT devices being used today. Ironically, one of these cameras' primary vulnerabilities is that they may be stolen or damaged - you need protection for the security cameras. Having gadgets that operate independently saves time since you may leave them to do the job they intended. However, remotely placed, unsupervised equipment must be monitored, and the most effective method is through the use of an automated monitoring system.

This article will outline what Redis database monitoring is and how to set up a Redis database monitoring system with MetricFire. Then we’ll show what the final graphs and dashboards look like when displayed on Grafana. We will be using Prometheus and Grafana to power the monitoring, and we'll use a simulated Redis DB to generate the data for the Grafana dashboards. ‍ ‍

Cloud monitoring is like a health check-up for our online spaces. It tells us what's going well and what we need to improve. It is critical because it lets us fix problems before they get too big and helps our online services work at their best. This article talks about how we can use MetricFire to monitor DigitalOcean environments.

The Internet of Things (IoT) - is a number of physical devices connected to one network that enables the system to interact with the external world. A great deal of the work surrounding IoT is monitoring, as it’s impossible to react without knowing the situation. For example, we might build a greenhouse system for agriculture that can maintain optimal conditions for growing crops. For this purpose, we need to have sensors picking up information about the temperature and humidity.

Out of more than 100 services that Amazon Web Services (AWS) provides, Amazon CloudWatch was one of the earliest services provided by AWS. CloudWatch was announced on May 17th, 2009, and it was the 7th service released after S3, SQS, SimpleDB, EBS, EC2, and EMR. AWS CloudWatch is a suite of tools that encompasses a wide range of cloud resources, including collecting logs and metrics; monitoring; visualization and alerting; and automated action in response to operational health changes.

Since server outages can lead to a loss of customers, reputation, and other troubles and it is important to get information on the status of the server on time. MetricFire's Hosted Grafana and Graphite will help you monitor server load in a timely and efficient manner. Servers generate a large number of metrics and it is essential to not only track their values but also to observe their changes over time. There is also a possibility to correlate app statistics with server load metrics.