Prometheus on Netdata

Netdata vs Last9 | Monitoring Tools Comparison

Thu, 18 Dec 2025 00:00:00 +0000

Netdata vs Prometheus: No PromQL Complexity

Thu, 18 Dec 2025 00:00:00 +0000

Netdata vs Prometheus comparison: Real-time monitoring with zero configuration, built-in ML, and 90% lower costs. See how Netdata solves Prometheus pain points while maintaining enterprise-grade capabilities.

Netdata vs VictoriaMetrics | Monitoring Tools Comparison

Thu, 18 Dec 2025 00:00:00 +0000

Comprehensive comparison of Netdata vs VictoriaMetrics covering real-time monitoring, ML anomaly detection, visualization, scalability, and total cost of ownership.

Red Hat OpenShift Monitoring Tool At Scale

Thu, 18 Dec 2025 00:00:00 +0000

Netdata delivers real-time, AI-powered observability for Red Hat OpenShift with 90% cost savings, per-second metrics, ML anomaly detection on every metric, and zero-configuration deployment. Eliminate Prometheus memory exhaustion, Loki query timeouts, and RHACM complexity.

Netdata vs Prometheus: A 2025 Performance Analysis

Thu, 23 Jan 2025 00:00:00 +0000

When it comes to infrastructure monitoring, performance, scalability, and efficiency are critical considerations. In this blog post, we revisit two widely adopted open-source monitoring solutions: Netdata and Prometheus. Both tools have introduced notable improvements in their latest versions, emphasizing scalability and enhanced efficiency.

In our previous analysis, we explored key differences between these systems, focusing on resource consumption and data retention. This follow-up expands on that comparison by subjecting both tools to a significantly larger workload. With the number of monitored nodes increased to 1000, containers to 80k, and metrics ingestion reaching 4.6 million metrics per second, we examine how each system performs under these demanding conditions, focusing on CPU utilization, memory requirements, disk I/O, network usage, and data retention during data ingestion.

Netdata vs Prometheus

Sat, 28 Oct 2023 00:00:00 +0000

In an era dominated by data-driven decision making, monitoring tools play an indispensable role in ensuring that our systems run efficiently and without interruption. When considering tools like Netdata and Prometheus, performance isn’t just a number; it’s about empowering users with real-time insights and enabling them to act with agility.

There’s a genuine need in the community for tools that are not only comprehensive in their offerings but also swift and scalable. This desire stems from our evolving digital landscape, where the ability to swiftly detect, diagnose, and rectify anomalies has direct implications on user experiences and business outcomes. Especially as infrastructure grows in complexity and scale, there’s an increasing demand for monitoring tools to keep up and provide clear, timely insights.

Netdata, Prometheus, Grafana Stack

Tue, 26 Sep 2023 00:00:00 +0000

In this blog, we will walk you through the basics of getting Netdata, Prometheus and Grafana all working together and monitoring your application servers. This article will be using docker on your local workstation. We will be working with docker in an ad-hoc way, launching containers that run /bin/bash and attaching a TTY to them. We use docker here in a purely academic fashion and do not condone running Netdata in a container. We pick this method so individuals without cloud accounts or access to VMs can try this out and for it’s speed of deployment.

Anomaly detection on Prometheus metrics

Wed, 01 Mar 2023 00:00:00 +0000

We have recently extended the native machine learning (ML) based anomaly detection capabilities of Netdata to support all metrics, regardless on their collection frequency (update every).

Previously only metrics collected every second were supported, but now Netdata can run anomaly detection out of the box with zero config on metrics with any collection frequency.

This post will illustrate an example of what this means using Prometheus metrics (via the Netdata Prometheus collector) since they typically have a default collection frequency of 10 seconds.

Introducing the Netdata Source Plugin for Grafana

Fri, 07 Oct 2022 00:00:00 +0000

The open-source community is about to benefit greatly from Netdata’s new Grafana data source plugin, which makes use of a powerful data collection engine.

This new plugin maximizes the troubleshooting capabilities of Netdata in Grafana, making them more widely available. Some of the key capabilities provided to you with this plugin include the following:

Real-time monitoring with single-second granularity.
Installation and out-of-the-box integrations available in seconds from one line of code.
2,000+ metrics from across your whole Infrastructure, with insightful metadata associated with them.
Access to our fresh ML metrics (anomaly rates) - exposing our ML capabilities at the edge!

Why did we decide to do it?

We are huge fans of Open-Source culture. Open-source is deeply rooted in Netdata’s DNA. Because of this, at Netdata, we don’t really buy into the “single pane of glass” or “observability platform” buzzwords. The reality is that things are just more complicated than that in real life.

Netdata vs Chronosphere | Monitoring Tools Comparison

Mon, 01 Jan 0001 00:00:00 +0000

Netdata provides edge-native observability with per-second granularity, automatic ML anomaly detection, and transparent pricing—eliminating PromQL learning curves and SaaS-only limitations that challenge Chronosphere users.