Prometheus is an open source monitoring system for which Grafana provides out-of-the-box support. This topic walks you through the steps to create a series of dashboards in Grafana to display system metrics for a server monitored by Prometheus.

Resources:

• Prometheus: Up & Running: Infrastructure and Application Performance Monitoring (English Book)
• Prometheus Tutorial | Monitoring with Prometheus And Grafana | Prometheus Grafana Tutorial | Edureka

Telegraf, InfluxDB, and Grafana are a popular combination of open-source tools often used for monitoring and visualizing various metrics and data. Here's an overview of each component and how they work together:

Telegraf: Telegraf is an open-source data collection agent that can gather data from various sources, such as system metrics, application performance, network data, and more. It supports a wide range of input plugins that allow it to collect data from different systems and services. Telegraf can then transform and send this data to various outputs, including InfluxDB.

InfluxDB: InfluxDB is a time-series database designed for handling high volumes of time-stamped data. It's optimized for storing metrics, events, and other time-based data. InfluxDB provides a powerful query language called InfluxQL for retrieving and manipulating data. It's commonly used to store the data collected by Telegraf and serves as the backend database for Grafana.

Grafana: Grafana is an open-source platform used for creating dashboards and visualizing data from various sources, including databases like InfluxDB. Grafana provides a user-friendly interface for designing customized dashboards with graphs, charts, and other visualization elements. It supports multiple data sources and offers a range of visualization options and plugins.

Datadog is a cloud-based monitoring and analytics platform that provides comprehensive monitoring, alerting, and visualization capabilities for various applications, infrastructure, and services. It's designed to help organizations monitor their entire technology stack and gain insights into the performance, availability, and health of their systems. Datadog supports a wide range of use cases, from IT operations and DevOps to application performance monitoring and business intelligence.

The ELK Stack, now known as the Elastic Stack, is a set of open-source tools developed by Elastic for ingesting, storing, searching, and visualizing large volumes of data. Each letter in "ELK" stands for a component of the stack:

Elasticsearch: Elasticsearch is a distributed, RESTful search and analytics engine. It's designed to store and index large volumes of data and provide fast and flexible search capabilities. Elasticsearch uses a document-oriented approach, where data is stored as JSON documents and can be easily searched and queried.

Logstash: Logstash is a data processing pipeline that helps you ingest, transform, and enrich data before sending it to Elasticsearch for storage and analysis. It supports various input sources, including logs, metrics, and other structured or unstructured data. Logstash allows you to parse, filter, and modify the data before it's indexed.

Kibana: Kibana is a web-based data visualization tool that works in conjunction with Elasticsearch. It provides a user-friendly interface for creating custom dashboards, visualizations, and graphs to explore and analyze your data. Kibana makes it easy to interact with data stored in Elasticsearch and gain insights from it.

Resources:

• Complete Guide to Elasticsearch (To learn elasticsearch itself)
• Data Visualization with Kibana (To learn the visualizations with Kibana)
• Data Processing with Logstash and Filebeat (To learn the pipeline design and implementation using Logstash)

New Relic is an observability platform that helps you build better software. You can bring in data from any digital source so that you can fully understand your system, analyze that data efficiently, and respond to incidents before they become problems. As extensive as the capablities of New Relic are, you can get started with the platform by following a three-step procedure.

Resources:

• Newrelic University
• APM Certification Training