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Redis Exporter is a small HTTP service that queries Redis or Valkey and converts its state into Prometheus-format metrics. On a Linux VPS, the dependable pattern is Redis → redis_exporter → Prometheus → dashboard and alerting. This guide shows how to install the exporter, connect it safely, expose only the metrics endpoint, configure Prometheus scraping, and test the failure cases that matter in production.
How the monitoring architecture works
Redis does not expose every operational detail in the format Prometheus expects. Redis Exporter fills that gap: it connects to Redis, collects information such as memory use, clients, command activity, persistence, replication and latency-related statistics, then serves those values over HTTP. Prometheus periodically scrapes that HTTP endpoint and stores the time series. A Prometheus-compatible dashboard or alerting system, such as Grafana, reads the stored data.
The exporter is not a replacement for Redis, Prometheus or a dashboard. It is the translation and collection layer between the database and your monitoring system. Redis may remain on the application VPS while the exporter runs on that VPS or on a separate monitoring host. Prometheus can run on either location, provided it can reach the exporter listener.
- Redis or Valkey: the service whose health and workload you need to observe.
- redis_exporter: an HTTP process that authenticates to Redis and publishes Prometheus metrics.
- Prometheus: the scraper and time-series store.
- Dashboard and alerting: Grafana or another Prometheus-compatible integration for graphs, notifications and on-call views.
Keep these connections separate. Prometheus should scrape the exporter, not the Redis TCP port. Clients should continue using Redis on its normal database port; only the exporter needs the Redis credentials.
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Requirements and decisions before installation
Confirm the Redis endpoint
Record the Redis address, port, database selection if you use one, whether TLS is required, and the authentication method. A local service commonly listens on 127.0.0.1:6379, but a VPS may use a private address or a non-default port. The exporter must be able to resolve and reach that address from its own network namespace.
Choose where each process runs
| Component | Typical placement | Network requirement |
|---|---|---|
| Redis | Application VPS | Accept connections only from approved local or private clients. |
| redis_exporter | Same VPS or a private monitoring host | Must reach Redis and expose its HTTP listener to Prometheus. |
| Prometheus | Monitoring VPS or internal monitoring network | Must reach the exporter listener; it does not need direct Redis access. |
| Dashboard and alerting | Monitoring network or hosted service | Reads Prometheus data; it does not need the Redis password. |
Pick an installation method
| Method | Best fit | Advantages | Trade-offs |
|---|---|---|---|
| Release binary | A conventional systemd-managed VPS | Few dependencies, simple process supervision and predictable upgrades. | You must verify downloads, select the correct CPU/OS build and replace the binary during upgrades. |
| Source build | Teams that already maintain Go builds | Reproducible from source and convenient when packaging internally. | Requires a Go toolchain and a defined build and upgrade process. |
| Container image | Hosts already managed with Docker or another container runtime | Consistent packaging and easy rollback by image tag. | Container networking and secret injection need deliberate configuration. |
Pin a release in production rather than tracking an unqualified latest tag. Read the exporter and Redis release notes before upgrades because supported Redis/Valkey versions, flags and metric behavior can change.
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Install Redis Exporter on the VPS
Option 1: use a verified release binary
Download the release artifact that matches the VPS architecture from the project’s official release channel, verify its checksum or signature when provided, and place the executable in a root-owned location such as /usr/local/bin/redis_exporter. Set ownership to root and permissions so the dedicated service account can execute it but cannot replace it.
- Create a service account with no interactive shell and no home-directory privileges.
- Copy the verified executable to
/usr/local/bin/redis_exporter. - Confirm it runs with
/usr/local/bin/redis_exporter --help; flag names and defaults are release-specific, so keep the help output with your deployment notes. - Create a root-readable configuration or environment file containing the Redis connection details and listener settings.
- Start it under systemd, then inspect the journal for startup and authentication errors.
Option 2: build from source with Go
Install the Go version required by the exporter release, check out a tagged release rather than an arbitrary development branch, and build the exporter with the project’s documented command. Place the resulting binary in the same root-owned path used for a release download. A source build should be recorded in your package or configuration management system so another administrator can reproduce it.
After building, run the binary’s help command and compare the available Redis address, username, password-file and HTTP listener options with the configuration you intend to deploy. Do not assume a flag from an older release still exists.
Option 3: run the published container image
The project publishes a container image through its documented registries. Pin an explicit release tag or digest. Pass the Redis URI or credential settings as a secret or protected environment value, and publish the exporter listener only to the interface Prometheus can use.
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docker run -d --name redis-exporter --restart unless-stopped --network host oliver006/redis_exporter:<PINNED_RELEASE> --redis.addr=redis://127.0.0.1:6379 --web.listen-address=:9121The command above is an example for a Redis service bound to the VPS loopback interface and an exporter listener on port 9121. Replace the image tag, Redis address and listener with your values. If your image release uses different option names, check its --help output.
Configure the Redis connection without leaking credentials
Use a Redis URI when appropriate
The exporter accepts a redis:// connection address. A URI can identify the host, port and, where supported by your Redis setup, the password and username. Treat a URI containing a password as a secret: it can be exposed by shell history, process listings, service diagnostics or accidental log output.
redis://:PASSWORD@127.0.0.1:6379For ACL-enabled Redis, use the documented username and password settings instead of embedding credentials in a command line. The exporter also provides a password-file option in supported releases. Store that file outside web roots, make it owned by root and readable only by root and the exporter service account, and avoid printing it during troubleshooting.
Prefer a protected service environment
A systemd environment file or a secret-management facility keeps credentials out of interactive shell history. Set permissions such as 0640, assign a group that contains only the exporter account, and check that backup and configuration-management systems protect the file as well. Do not place the Redis password in a world-readable unit file, a public container manifest or a ticket.
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Start the exporter locally and inspect its journal. An incorrect password, username, TLS mode or database address should produce a clear connection failure. Fix the Redis connection first; Prometheus cannot make an exporter healthy when the exporter itself cannot authenticate.
Run the exporter as a restricted systemd service
Running the binary under systemd gives you restart behavior, journal logging and a clear privilege boundary. Create the unprivileged account first, then add a unit similar to the following and adapt paths and option names to your release.
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[Unit]
Description=Redis Exporter
After=network-online.target
Wants=network-online.target
[Service]
User=redis-exporter
Group=redis-exporter
EnvironmentFile=/etc/redis-exporter/redis-exporter.env
ExecStart=/usr/local/bin/redis_exporter --web.listen-address=127.0.0.1:9121
Restart=on-failure
RestartSec=5
NoNewPrivileges=true
PrivateTmp=true
ProtectSystem=strict
ProtectHome=true
[Install]
WantedBy=multi-user.target- Save the unit as
/etc/systemd/system/redis-exporter.service. - Create the environment or password file referenced by the unit and apply restrictive ownership and permissions.
- Run
systemctl daemon-reload. - Enable and start it with
systemctl enable --now redis-exporter. - Check
systemctl status redis-exporterandjournalctl -u redis-exporter.
The example binds the HTTP listener to loopback. If Prometheus is on another host, bind to a private interface instead and restrict the firewall to the Prometheus source address. Do not bind the exporter to every public interface unless an additional private network and authentication layer explicitly protects it.
Container networking when Redis is on the VPS host
A container’s 127.0.0.1 is the container itself, not the VPS host. Therefore, a containerized exporter that points at redis://127.0.0.1:6379 usually cannot reach a Redis process listening on the host loopback interface. The project’s documented example uses host networking:
docker run -d --name redis-exporter --restart unless-stopped --network host oliver006/redis_exporter:<PINNED_RELEASE> --redis.addr=redis://127.0.0.1:6379 --web.listen-address=:9121Host networking removes the container network boundary, so apply the same firewall and listener restrictions you would use for a host process. An alternative is to place Redis and the exporter on a private container network and make Redis listen on that network address; do this only when the resulting Redis exposure is intentional. Verify reachability from inside the exporter container, not just from a shell on the VPS.
Protect the metrics endpoint
- Bind the listener to loopback when Prometheus runs on the same VPS, or to a private interface when Prometheus is remote.
- Allow the metrics port through the host firewall only from the Prometheus host or monitoring subnet.
- Do not publish the exporter endpoint directly to the public internet.
- Run the exporter as an unprivileged account with no unnecessary filesystem or service permissions.
- Protect Redis credentials in a password file, secret store or restricted environment file.
- If the endpoint must cross an untrusted network, place it behind an authenticated, encrypted proxy or private tunnel and preserve source restrictions.
The metrics endpoint can reveal memory use, client counts, replication details and workload patterns even though it does not provide a Redis command shell. Treat it as operationally sensitive.
Configure Prometheus to scrape redis_exporter
Add the exporter address to Prometheus’s scrape_configs. The target is the exporter HTTP listener, not the Redis port.
scrape_configs:
- job_name: redis-exporter
scrape_interval: 15s
static_configs:
- targets:
- '127.0.0.1:9121'Use the exporter VPS’s private address when Prometheus is remote, for example 10.0.0.12:9121. Choose a scrape interval that matches the importance and volatility of the data; a shorter interval increases collection traffic and storage volume. Keep the target label distinct when monitoring more than one Redis server.
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- Validate the Prometheus configuration with the validator supplied by your Prometheus installation.
- Reload Prometheus using its configured reload method or service manager.
- Open the Prometheus targets page and locate the
redis-exporterjob. - Confirm the target is marked healthy and inspect the last scrape error field if it is not.
- Query the exporter endpoint directly from the Prometheus host with
curl http://<EXPORTER_HOST>:<EXPORTER_PORT>/metrics. A successful response should contain Prometheus text-format metric samples.
If the direct request works on the exporter VPS but the Prometheus target is down, investigate routing, firewall rules, bind address and the Prometheus target address. If the endpoint responds but Redis-specific collection fails, inspect exporter logs and Redis authentication separately.
Build useful dashboards and alerts
Start with a small operational dashboard rather than importing every available series. Metric names and labels vary between exporter releases, so discover the exact names in the /metrics output and document the release that produced them.
Exporter and scrape health
- Prometheus’s target health and scrape error state.
- Whether the exporter process is running and restarting.
- Whether Redis collection succeeds, rather than merely whether the HTTP endpoint answers.
Redis capacity and workload
- Used memory, configured limits and memory pressure indicators.
- Command throughput and the distribution of commands where the exporter exposes it.
- Connected clients, blocked clients and rejected connections.
- Latency-related statistics and slow-operation indicators available in your release.
Persistence and replication
- Recent snapshot or append-only persistence activity and failures.
- Replication role, connection state and lag-related values.
- Replication backlog or synchronization indicators when exposed by the exporter.
Use workload-specific alert thresholds. There is no single memory, latency or client-count number that is safe for every Redis deployment. Establish a baseline during normal traffic, then alert on sustained deviation, failed collection, loss of replication, persistence errors or exhaustion of the capacity headroom your application requires. Include the Redis instance, exporter job and environment labels in notifications.
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Redis is stopped
Stop Redis briefly in a maintenance window and verify that the exporter reports collection failure, Prometheus marks the target appropriately, and the resulting alert reaches the intended channel. Restart Redis and confirm that metrics recover without manually restarting the exporter.
Credentials are wrong
Temporarily use an invalid password in a controlled environment. The exporter should log an authentication failure; Prometheus should not show a healthy Redis data stream merely because the HTTP endpoint is alive. Restore the secret and verify recovery.
The exporter cannot reach Redis
Check the address from the exporter’s network namespace. For a container, test from inside the container and confirm whether host networking, a private route or a firewall rule is required. A successful Redis connection from the VPS shell does not prove that a container can reach the same address.
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Prometheus cannot reach the exporter
Check the listener with ss -ltnp, confirm that it is bound to the interface Prometheus uses, and inspect firewall counters. If the process listens only on loopback while Prometheus is remote, either move Prometheus locally or bind to a private address and restrict access to the Prometheus source.
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Persistence is slow or failing
Correlate exporter persistence metrics with Redis logs, disk latency and available space. Do not silence the exporter alert simply because normal command traffic continues; persistence failures can compromise recovery even while requests succeed.
Metrics disappear after an upgrade
Compare the old and new release notes and inspect the new /metrics output for renamed or removed series. Update dashboard queries and alert rules deliberately, and keep the exporter version alongside the configuration in your deployment records.
Maintenance and upgrade practice
- Record the exporter release, Redis or Valkey version, installation method, listener address and scrape configuration.
- Review exporter release notes for supported Redis/Valkey versions, changed flags and metric changes.
- Test the new binary or image in a staging environment with authentication enabled.
- Validate the Prometheus configuration and dashboard queries before production rollout.
- Replace the binary or image using an atomic deployment, then check systemd or container health, the metrics endpoint and the Prometheus target.
- Retain the previous artifact so you can roll back if collection or alerting breaks.
Keep a runbook with the expected symptoms and recovery steps for Redis downtime, invalid credentials, blocked exporter traffic, disk pressure and replication loss. Monitoring is only useful when the on-call person can identify which layer failed and restore it safely.
Standalone Redis versus Redis Software metrics
This workflow is for a standalone Redis or Valkey server that redis_exporter can query. Redis Software has a separate native metrics-stream endpoint; Redis documents a v2 Prometheus endpoint for Redis Software 8.0. Do not assume that the standalone exporter instructions, flags or endpoint are the correct integration for a Redis Software deployment. Identify the product and version first, then follow its native metrics documentation when applicable.
Choosing the right deployment for your VPS
| Situation | Recommended arrangement | Reason |
|---|---|---|
| Single VPS, Prometheus on the same machine | Binary or systemd service; listener on loopback | Minimal network exposure and straightforward supervision. |
| Several VPSs, central Prometheus | One restricted exporter per Redis host; private listener and source-allowlisted firewall | Prometheus can scrape each host without exposing Redis itself. |
| Container-managed infrastructure | Pinned exporter image with a secret file or secret store | Consistent packaging, provided container-to-host routing is tested. |
| Strict internal build policy | Source build or internally mirrored release binary | Fits controlled software supply chains and repeatable deployment. |
Regardless of method, the essential controls are the same: the exporter must reach Redis, Prometheus must reach the exporter, credentials must remain private, and the metrics listener must not be publicly exposed.
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