Implementing High-Fidelity Observability on Synology NAS via Grafana, Prometheus, and SNMP Exporters

The implementation of a robust monitoring ecosystem on a Synology Network Attached Storage (NAS) device represents a critical evolution from simple data storage to proactive infrastructure management. At the heart of this transition is Grafana, an industry-leading open-source visualization and analytics platform designed to query, visualize, alert on, and decode complex metrics regardless of their storage origin. By deploying Grafana on a Synology NAS, administrators can transform raw, unorganized system logs and performance metrics into actionable intelligence. This capability allows for the creation of intricate heatmaps, histograms, and geomaps that foster a data-driven culture within a home lab or enterprise environment. Whether the objective is to track smart home weather statistics through customized playlists or to monitor the granular health of disk arrays, the integration of Grafana provides the visual clarity required to prevent hardware failure and optimize throughput.

The complexity of this deployment lies in the orchestration of multiple moving parts, including containerization engines, time-series databases, and specialized exporters. A successful installation necessitates a deep understanding of Docker (or the newer Container Manager), volume persistence, and network configuration. For users managing modern Synology units, this involves navigating the nuances of DSM 7.2 and beyond, ensuring that data remains persistent across container restarts and that the firewall settings permit the necessary communication between exporters and the visualization layer.

Core Prerequisites and Container Management Infrastructure

Before initiating the deployment of any observability stack, the foundational layer of the Synology operating system must be prepared to handle containerized workloads. The ability to run Docker-based services is strictly dependent on the hardware capabilities of the NAS model.

The primary prerequisite is the installation of the Container Manager package. On Synology systems running DSM 7.2 or later, this is officially known as Container Manager. For administrators operating on legacy versions of DSM (any version prior to 7.2), the package is still identified as Docker within the Package Center. The presence of this package is the gateway to all subsequent monitoring steps, as it provides the runtime environment for Grafana, Prometheus, and various exporters.

It is vital to recognize the hardware limitations inherent in the Synology ecosystem. While high-performance models like the DS923+, DS920+, DS918+, DS1513+, DS1512+, and DS1511+ are fully capable of supporting complex Docker stacks, certain entry-level models, specifically those in the "J" series, lack the architectural support to run Docker. For these J-series devices, administrators must pivot their strategy away from container-centric tools like cAdvisor or Node Exporter and instead look toward agentless or non-containerized monitoring solutions such as Nagios or Zabbix.

To ensure a successful deployment, the following environmental checks must be performed:

Verify the presence of Container Manager or Docker in the Package Center.
Confirm the NAS model supports containerization (avoiding J-series for Docker-based stacks).
Check the Firewall status via Control Panel > Security > Firewall.
Prepare the directory structure within the File Station.

Filesystem Architecture and Data Persistence Strategies

A common pitfall in container deployment is the loss of configuration and historical data during container updates or system reboots. To prevent this, a strategy of volume mounting must be implemented, mapping internal container paths to persistent folders on the Syn/Synology host filesystem.

The initial step in establishing a persistent environment involves manual directory creation. Navigating to the docker folder via File Station is mandatory. Within this directory, a new folder named grafana must be created. It is critical to use strictly lowercase letters to avoid path resolution errors in Linux-based environments. If the deployment involves a broader stack, such as the Telegraf-InfluxDB-Grafana stack, additional folders must be provisioned.

The following table outlines the required volume mapping for a standard persistent deployment:

Host Directory (Synology)	Container Mount Path	Purpose
`/docker/grafana`	`/var/lib/grafana`	Stores Grafana SQLite databases, dashboards, and plugins
`/docker/influxdb`	`/var/lib/influxdb`	Stores long-term time-series data for InfluxDB

By mapping the host's /docker/grafana to the container's /var/lib/grafana, the administrator ensures that even if the container is deleted or upgraded, the dashboards and user configurations remain intact on the NAS's physical disks.

Network Configuration and Firewall Security Protocols

Deploying monitoring tools introduces new network vectors that must be secured. If the Synology Firewall is enabled, the communication between the exporters (which collect data) and the Grafana instance (which visualizes it) may be blocked, leading to empty dashboards.

The security configuration must allow traffic from the specific subnet used by the Docker network. If the Docker bridge network or a specific subnet is in use, a custom firewall rule is required. To implement this, navigate to Control Panel > Security > Firewall and select Edit Rules. A new rule must be created with the following parameters:

Port Setting: Set to All to ensure all metric scraping ports are accessible.
Source IP: Select Specific IP and then choose the Subnetic option.
IP Address: Enter the specific subnet, for example, 172.22.0.0.
Subnet Mask: Enter 255.255.0.0.
Action: Set to Allow and ensure the Enabled checkbox is ticked.

Crucially, this new rule must be dragged to the top of the Firewall Rules list to ensure it is evaluated before any broader "Deny" rules are processed. Failure to place this rule at the top of the stack will result in the firewall dropping packets from the containerized exporters before the "Allow" rule can be triggered.

Deployment of the Grafana and Telegraf Stack

For users seeking a pre-integrated solution, the alhazmy13/telegraf-influxdb-grafana image provides a streamlined approach to deploying a complete telemetry stack. This method consolidates the collection (Telegraf), storage (InfluxDB), and visualization (Grafana) into a single manageable entity.

The deployment process follows a precise sequence:

Open the Docker/Container Manager client on the Synology NAS.
Navigate to the Image tab and select Add from URL.
Input the Hub page URL: https://hub.docker.com/r/alhazmy13/telegraf-influxdb-grafana.
Wait for the download to complete to ensure all layers are locally cached.
Launch the container and access the Advanced Settings.
Enable the "Auto-restart" feature to ensure the monitoring stack recovers from system reboots or crashes.
Configure the Volume tab by adding the previously created grafana folder and mapping it to /var/lib/grafana.
Add the influxdb folder and map it to /var/lib/influxdb.
Set the Network mode to "bridge".
Configure Port Settings: Manually change the Local port for 3003 to 3003 and the Local port for 514 to 5144.
Configure the Environment Tab: Add a new variable TZ and set it to your local time zone (e.g., America/New_York) to ensure timestamps in dashboards align with local reality.

Once the container is running, the service can be accessed via http://[YOUR_LOCAL_NAS_IP]:3003. Upon first login, the system will prompt for a password change, a critical security step to replace the default credentials.

SNMP Integration for Deep Hardware Telemetry

To achieve high-fidelity monitoring of the Synology hardware itself—such as CPU temperature, disk health, and network interface throughput—the Simple Network Management Protocol (SNMP) must be activated and configured. This allows tools like the snmp_exporter to poll the NAS for internal metrics.

The configuration process involves several layers of the DSM interface:

Enable SNMP Service: Navigate to Control Panel > Terminal and SNMP > SNMP. Check the Enable SNMP service checkbox.
Enable SNMPv3: For enhanced security, check the SNMPv1/v2c and SNMPv3 service checkboxes.
Configure SNMPv3 Credentials: Set the username to exporter, use the MD5 protocol, and define a strong password for authentication.
Enable Privacy: Check the SNMP privacy checkbox to ensure encrypted communication of management data.

For advanced dashboards that utilize snmp_exporter, the snmp.yml configuration file is the brain of the operation. If the DSM version, Serial Number, or Disk information is reporting incorrectly in the dashboard, the snmp.yml file must be audited. Specifically, ensure that the configuration for these fields is set to type: DisplayString. This ensures that the exporter correctly interprets the string-based data returned by the Synology SNMP agent.

Advanced Dashboard Customization and Data Sources

A standard Grafana installation provides the engine, but the "intelligence" comes from the dashboard JSON definitions and the connection to data sources.

The "Synology NAS Details" dashboard is a specialized tool designed to provide a granular view of system operational status. This dashboard relies on Prometheus and the snmp_exporter to gather statistics. When importing this dashboard, the user will be prompted to select a DataSource. This is the point where you must link the dashboard to the Prometheus instance running in your Docker stack.

Key features of advanced Synology dashboards include:

Regex-based Variables: These allow the dashboard to dynamically filter Network Interfaces, File Systems, and Services. By modifying the Regular Expression, users can include or exclude specific hardware components from view.
Interface Bits/Bytes Toggle: A variable named interfacebits allows the user to switch between showing network graphs in Megabits (setting the multiplier to 8) or Megabytes (setting the multiplier to 1).
Multi-device Support: The "Synology NAS Overview" dashboard can be used alongside the "Details" dashboard to provide a high-level view of multiple NAS units in a single pane of glass.

For those utilizing the Prometheus stack, the following components are often included in a "comprehensive" monitoring stack:

Prometheus: The time-series database and scraper.
cAdvisor: For monitoring container-level resource usage.
Node Exporter: For host-level metrics (CPU, Memory, Disk).
SNMP Exporter: For hardware-level metrics via SNMP.
Speedtest Exporter: For tracking internet bandwidth fluctuations.
UPS Stats: For monitoring power backup status.

Conclusion: The Future of Proactive NAS Management

The transition from reactive troubleshooting to proactive observability is a fundamental shift in how network-attached storage is managed. By implementing a Grafana-based monitoring stack on a Synology NAS, administrators move beyond merely checking if a drive is "online" to understanding the deep-seated performance trends that precede hardware degradation. The ability to visualize CPU spikes, network congestion, and disk latency through a unified, real-time interface allows for preemptive maintenance and optimized resource allocation.

While the deployment of such a stack requires meticulous attention to detail—ranging from the precise configuration of Docker volumes to the complex regex patterns in Grafana variables—the resulting visibility is invaluable. As the complexity of home and enterprise environments grows, the integration of Prometheus, Loki, and Mimir into the Synology ecosystem provides the necessary framework to maintain high availability and system integrity in an increasingly data-centric world.