Ralph Meijer fc3d851b0e Improve the documentation on removing stale nodes (#18927) | 2 недель назад | |
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logs-centralization-points-with-systemd-journald | 1 месяц назад | |
metrics-centralization-points | 2 недель назад | |
README.md | 9 месяцев назад | |
best-practices.md | 9 месяцев назад |
Netdata supports the creation of multiple independent Observability Centralization Points, aggregating metric samples, logs and metadata within an infrastructure.
Observability Centralization Points are crucial for ensuring comprehensive monitoring and observability across an infrastructure, particularly under the following conditions:
Ephemeral Systems: For systems like Kubernetes nodes or ephemeral VMs that may not be persistently available, centralization points ensure that metrics and logs are not lost when these systems go offline. This is essential for maintaining historical data for analysis and troubleshooting.
Resource Constraints: In scenarios where the monitored systems lack sufficient resources (disk space or I/O bandwidth, CPU, RAM) to handle observability tasks effectively, centralization points offload these responsibilities, ensuring that production systems can operate efficiently without compromise.
Multi-node Dashboards without Netdata Cloud: For environments requiring aggregated views across multiple nodes but without the use of Netdata Cloud, Netdata Parents can aggregate this data to provide comprehensive dashboards, similar to what Netdata Cloud offers.
Netdata Cloud Access Restrictions: In cases where monitored systems cannot connect to Netdata Cloud (due to a firewall policy), a Netdata Parent can serve as a bridge, aggregating data and interfacing with Netdata Cloud on behalf of these restricted systems.
When multiple independent centralization points are available:
Netdata Cloud queries all of them in parallel, to provide a unified infrastructure view.
Without Netdata Cloud, the dashboards of each of the Netdata Parents provide unified views of the infrastructure aggregated to each of them (metrics and logs).