Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring is all about data. When you implement a monitoring tool, you have to make sure that the monitoring software can handle data. Today, data flows at high speeds and in large volumes. Data also comes in diverse forms, which increases the complexity of data ingestion. Because of this, monitoring solution providers promote, among others, their data processing capacities. If a monitoring platform can handle large and diverse data that comes in at a high velocity, it becomes a big advantage.

In this article, we provide a concise guide to help you get started with Graphite quickly and efficiently. We cover the basic concepts, architectural considerations, and metrics aggregation of Graphite. We also explain the data feeding methods, metrics format, and storage using Graphite's file-based database. Additionally, we discuss visualization options, including Graphite-Web and Grafana.

Graphite is used by many organizations to track and visualize various metrics that their applications or servers send out. But what happens if there are too many of these metrics or the company doesn't want to use its human resources to monitor the behaviour of metrics constantly? In this article, we will use Hosted Graphite by MetricFire to learn about Graphite's ability to notify users about the abnormal behaviour of services or infrastructure in a timely manner.

Graphite is a powerful open-source time series database used for storing, retrieving, and visualizing changing numeric data points over time. With its robust monitoring system, Graphite can efficiently handle large data loads without compromising performance. In this article, we delve into the basics of Graphite, focusing on its primary component, Carbon.

Monitoring IoT devices is a very important process for analyzing their behavior and ensuring their performance. You need to choose the right monitoring tools to effectively collect and analyze metrics. In this article, we will learn how to monitor your IoT devices using Mosquitto and Graphite. You will also find out what benefits you can get using a Hosted Graphite solution from MetricFire. Check out MetricFire’s free trial to test all the features it provides.

In the ever-evolving stock market landscape, immediate access to accurate information is crucial for investors and financial experts alike. In this piece, titled "Monitoring Real-Time Stock Quotes with MetricFire," we dive deep into the realm of advanced technology, focusing on its potential to transform stock market tracking and decision-making procedures.

In this article, we will see how we can integrate an Azure data source with Graphite and Grafana. This will allow us to monitor metrics from the applications hosted in the Azure cloud on a Grafana dashboard. We will also see how to integrate Azure Active Directory with MetricFire’s Hosted Graphite and Grafana. You don’t need fully functional cloud services running with Azure to understand this article, but it assumes that you have basic familiarity with Azure Cloud.

Grafana is a powerful open-source visualization solution that provides valuable insights into the performance of infrastructure, applications, and servers. With customizable visualizations and support for diverse data sources and formats, Grafana allows IT teams to collect and visualize data from various sources.

In this article, we will deploy a clustered Prometheus setup that integrates Thanos. It is resilient against node failures and ensures appropriate data archiving. The setup is also scalable. It can span multiple Kubernetes clusters under the same monitoring umbrella. Finally, we will visualize and monitor all our data in accessible and beautiful Grafana dashboards.

Today, businesses and organizations rely heavily on metrics and analytics to make informed decisions. Metrics are important whether you’re a developer, a marketer, or the head of a company. One type of metric that is widely used is a time-series metric. Time-series metrics provide insights into how data changes over time. With time-series data, businesses can track trends, detect anomalies, and make predictions.