A Detailed Guide to Key Metrics of MongoDB Monitoring

In the current era, organizations demand high-quality working data, and management systems that can scale, deploy quickly, robustly, are highly available, and highly secure for any unfortunate incidents. Traditionally, applications used relational databases as the primary data stores but in today’s need for data-driven applications, developers lean towards alternative databases like NoSQL(Not Only Structured Query Language).

NoSQL databases enable speed, flexibility, and scalability in this era of growing development in the cloud. Moreover, NoSQL databases also support JSON-like documents which are commonly used formats to share data in modern web applications.

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Nginx monitoring using Telegraf/Prometheus/Grafana

Nginx is one of the most popular and widely used web servers mostly because of its speed and reliability. Nevertheless, it is paramount to keep track of the performance and availability that would help you to proactively prepare yourself for the worst scenarios like sudden/unexpected hikes in traffic. It will also keep you updated about the current state and health of your application.

This article will guide you on how to get Nginx Web Server metrics and visualize them. The main goal is a quick deployment and configuration using well-known open-source projects like Grafana, Prometheus, and Telegraf.

Prometheus: An open-source, time-series database for event monitoring and alerting managed by the Cloud Native Computing Foundation (CNCF).

Grafana: An Open-source project for analytics software and visualization of the metrics from any database.

Telegraf: An Open-source project, plugin-driven agent to collect and send metrics.

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Elasticsearch Cluster Monitoring

Elasticsearch is a scalable, full-text search and analytics engine based on Apache Lucene. It is Java-based and allows you to store, search, and analyze big volumes of data quickly in near real-time. It can search and index the document files in diverse formats. Lucene is the underlying technology that Elasticsearch uses for extremely fast data retrieval.

As flexible, scalable, and useful as Elasticsearch is, monitoring your cluster can help you ensure that the cluster is appropriately sized and handles all operations efficiently.

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