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5 posts tagged with "netdata-monitoring"

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· 8 min read
Satyadeep Ashwathnarayana

Netdata Cost Transparency

Businesses are increasingly reliant on monitoring tools to ensure the seamless performance and reliability of their systems. However, the true cost of implementing and maintaining these tools is often obscured by hidden expenses. Our previous blog delved into the concealed costs associated with various monitoring solutions, such as Prometheus & Grafana (Open Source Monitoring) and commercial platforms like Datadog, Dynatrace, and NewRelic. These costs can manifest in various forms - from complex setups and maintenance to additional charges for advanced features.

Unlike its counterparts, Netdata is engineered with transparency and efficiency at its core, ensuring that organizations can monitor their systems effectively without incurring unexpected expenses. This blog will explore how Netdata stands out in the crowded field of monitoring tools by eliminating hidden costs, providing a detailed analysis of its unique features and advantages.

Let us explore how Netdata’s user-friendly approach, unlimited metrics collection, decentralized architecture, and comprehensive capabilities make it a holistic solution for cost-effective monitoring.

· 14 min read
Satyadeep Ashwathnarayana


What are they and why do we need them?

A “Parent” is a Netdata Agent, like the ones we install on all our systems, but is configured as a central node that receives, stores and processes metrics data from other Netdata “Child” nodes in our infrastructure.

Netdata Parents are flexible. You can have one big active-active cluster of Netdata Parents, or you can spread a lot of independent Parents across the infrastructure.

This “distributed still centralized” setup provides a lot of benefits. Let’s go through them one by one in this blog post.

· 9 min read
Andrew Maguire


We have been busy at work under the hood of the Netdata agent to introduce new capabilities that let you extend the "training window" used by Netdata's native anomaly detection capabilities.

This blog post will discuss one of these improvements to help you reduce "false positives" by essentially extending the training window by using the new (beautifully named) number of models per dimension configuration parameter.