High availability with Valkey Sentinel · Valkey

High availability with Valkey Sentinel

Usage

valkey-sentinel /path/to/sentinel.conf

valkey-server /path/to/sentinel.conf --sentinel

Description

Valkey Sentinel provides high availability for Valkey when not using Valkey Cluster.

Valkey Sentinel also provides other collateral tasks such as monitoring, notifications and acts as a configuration provider for clients.

This is the full list of Sentinel capabilities at a macroscopic level (i.e. the big picture):

Sentinel as a distributed system

Valkey Sentinel is a distributed system:

Sentinel itself is designed to run in a configuration where there are multiple Sentinel processes cooperating together. The advantage of having multiple Sentinel processes cooperating are the following:

  1. Failure detection is performed when multiple Sentinels agree about the fact a given primary is no longer available. This lowers the probability of false positives.
  2. Sentinel works even if not all the Sentinel processes are working, making the system robust against failures. There is no fun in having a failover system which is itself a single point of failure, after all.

The sum of Sentinels, Valkey instances (primaries and replicas) and clients connecting to Sentinel and Valkey, are also a larger distributed system with specific properties. In this document concepts will be introduced gradually starting from basic information needed in order to understand the basic properties of Sentinel, to more complex information (that are optional) in order to understand how exactly Sentinel works.

Sentinel quick start

Valkey Sentinel is included in Valkey.

Running Sentinel

If you are using the valkey-sentinel executable (or if you have a symbolic link with that name to the valkey-server executable) you can run Sentinel with the following command line:

valkey-sentinel /path/to/sentinel.conf

Otherwise you can use directly the valkey-server executable starting it in Sentinel mode:

valkey-server /path/to/sentinel.conf --sentinel

Both ways work the same.

However it is mandatory to use a configuration file when running Sentinel, as this file will be used by the system in order to save the current state that will be reloaded in case of restarts. Sentinel will simply refuse to start if no configuration file is given or if the configuration file path is not writable.

Sentinels by default run listening for connections to TCP port 26379, so for Sentinels to work, port 26379 of your servers must be open to receive connections from the IP addresses of the other Sentinel instances. Otherwise Sentinels can’t talk and can’t agree about what to do, so failover will never be performed.

Fundamental things to know about Sentinel before deploying

  1. You need at least three Sentinel instances for a robust deployment.
  2. The three Sentinel instances should be placed into computers or virtual machines that are believed to fail in an independent way. So for example different physical servers or Virtual Machines executed on different availability zones.
  3. Sentinel + Valkey distributed system does not guarantee that acknowledged writes are retained during failures, since Valkey uses asynchronous replication. However there are ways to deploy Sentinel that make the window to lose writes limited to certain moments, while there are other less secure ways to deploy it.
  4. You need Sentinel support in your clients. Popular client libraries have Sentinel support, but not all.
  5. There is no HA setup which is safe if you don’t test from time to time in development environments, or even better, if you can in production environments, if they work. You may have a misconfiguration that will become apparent only when it’s too late (at 3am when your primary stops working).
  6. Sentinel, Docker, or other forms of Network Address Translation or Port Mapping should be mixed with care: Docker performs port remapping, breaking Sentinel auto discovery of other Sentinel processes and the list of replicas for a primary. Check the section about Sentinel and Docker later in this document for more information.

Configuring Sentinel

The Valkey source distribution contains a file called sentinel.conf that is a self-documented example configuration file you can use to configure Sentinel, however a typical minimal configuration file looks like the following:

sentinel monitor mymaster 127.0.0.1 6379 2
sentinel down-after-milliseconds mymaster 60000
sentinel failover-timeout mymaster 180000
sentinel parallel-syncs mymaster 1

sentinel monitor resque 192.168.1.3 6380 4
sentinel down-after-milliseconds resque 10000
sentinel failover-timeout resque 180000
sentinel parallel-syncs resque 5

You only need to specify the primaries to monitor, giving to each separated primary (that may have any number of replicas) a different name. There is no need to specify replicas, which are auto-discovered. Sentinel will update the configuration automatically with additional information about replicas (in order to retain the information in case of restart). The configuration is also rewritten every time a replica is promoted to primary during a failover and every time a new Sentinel is discovered.

The example configuration above basically monitors two sets of Valkey instances, each composed of a primary and an undefined number of replicas. One set of instances is called mymaster, and the other resque.

The meaning of the arguments of sentinel monitor statements is the following:

sentinel monitor <primary-name> <ip> <port> <quorum>

For the sake of clarity, let’s check line by line what the configuration options mean:

The first line is used to tell Valkey to monitor a primary called mymaster, that is at address 127.0.0.1 and port 6379, with a quorum of 2. Everything is pretty obvious but the quorum argument:

So for example if you have 5 Sentinel processes, and the quorum for a given primary is set to the value of 2, this is what happens:

In practical terms this means during failures Sentinel never starts a failover if the majority of Sentinel processes are unable to talk (aka no failover in the minority partition).

Other Sentinel options

The other options are almost always in the form:

sentinel <option_name> <primary_name> <option_value>

And are used for the following purposes:

Additional options are described in the rest of this document and documented in the example sentinel.conf file shipped with the Valkey distribution.

Configuration parameters can be modified at runtime:

See the Reconfiguring Sentinel at runtime section for more information.

Example Sentinel deployments

Now that you know the basic information about Sentinel, you may wonder where you should place your Sentinel processes, how many Sentinel processes you need and so forth. This section shows a few example deployments.

We use ASCII art in order to show you configuration examples in a graphical format, this is what the different symbols means:

+--------------------+
| This is a computer |
| or VM that fails   |
| independently. We  |
| call it a "box"    |
+--------------------+

We write inside the boxes what they are running:

+--------------------+
| Valkey primary M1   |
| Valkey Sentinel S1 |
+--------------------+

Different boxes are connected by lines, to show that they are able to talk:

+-------------+               +-------------+
| Sentinel S1 |---------------| Sentinel S2 |
+-------------+               +-------------+

Network partitions are shown as interrupted lines using slashes:

+-------------+                +-------------+
| Sentinel S1 |------ // ------| Sentinel S2 |
+-------------+                +-------------+

Also note that:

Note that we will never show setups where just two Sentinels are used, since Sentinels always need to talk with the majority in order to start a failover.

Example 1: just two Sentinels, DON’T DO THIS

+----+         +----+
| M1 |---------| R1 |
| S1 |         | S2 |
+----+         +----+

Configuration: quorum = 1

Note that a majority is needed in order to order different failovers, and later propagate the latest configuration to all the Sentinels. Also note that the ability to failover in a single side of the above setup, without any agreement, would be very dangerous:

+----+           +------+
| M1 |----//-----| [M1] |
| S1 |           | S2   |
+----+           +------+

In the above configuration we created two primaries (assuming S2 could failover without authorization) in a perfectly symmetrical way. Clients may write indefinitely to both sides, and there is no way to understand when the partition heals what configuration is the right one, in order to prevent a permanent split brain condition.

So please deploy at least three Sentinels in three different boxes always.

Example 2: basic setup with three boxes

This is a very simple setup, that has the advantage to be simple to tune for additional safety. It is based on three boxes, each box running both a Valkey process and a Sentinel process.

       +----+
       | M1 |
       | S1 |
       +----+
          |
+----+    |    +----+
| R2 |----+----| R3 |
| S2 |         | S3 |
+----+         +----+

Configuration: quorum = 2

If the primary M1 fails, S2 and S3 will agree about the failure and will be able to authorize a failover, making clients able to continue.

In every Sentinel setup, as Valkey uses asynchronous replication, there is always the risk of losing some writes because a given acknowledged write may not be able to reach the replica which is promoted to primary. However in the above setup there is a higher risk due to clients being partitioned away with an old primary, like in the following picture:

         +----+
         | M1 |
         | S1 | <- C1 (writes will be lost)
         +----+
            |
            /
            /
+------+    |    +----+
| [M2] |----+----| R3 |
| S2   |         | S3 |
+------+         +----+

In this case a network partition isolated the old primary M1, so the replica R2 is promoted to primary. However clients, like C1, that are in the same partition as the old primary, may continue to write data to the old primary. This data will be lost forever since when the partition will heal, the primary will be reconfigured as a replica of the new primary, discarding its data set.

This problem can be mitigated using the following Valkey replication feature, that allows to stop accepting writes if a primary detects that it is no longer able to transfer its writes to the specified number of replicas.

min-replicas-to-write 1
min-replicas-max-lag 10

With the above configuration (please see the self-commented valkey.conf example in the Valkey distribution for more information) a Valkey instance, when acting as a primary, will stop accepting writes if it can’t write to at least 1 replica. Since replication is asynchronous not being able to write actually means that the replica is either disconnected, or is not sending us asynchronous acknowledges for more than the specified max-lag number of seconds.

Using this configuration, the old Valkey primary M1 in the above example, will become unavailable after 10 seconds. When the partition heals, the Sentinel configuration will converge to the new one, the client C1 will be able to fetch a valid configuration and will continue with the new primary.

However there is no free lunch. With this refinement, if the two replicas are down, the primary will stop accepting writes. It’s a trade off.

Example 3: Sentinel in the client boxes

Sometimes we have only two Valkey boxes available, one for the primary and one for the replica. The configuration in the example 2 is not viable in that case, so we can resort to the following, where Sentinels are placed where clients are:

            +----+         +----+
            | M1 |----+----| R1 |
            |    |    |    |    |
            +----+    |    +----+
                      |
         +------------+------------+
         |            |            |
         |            |            |
      +----+        +----+      +----+
      | C1 |        | C2 |      | C3 |
      | S1 |        | S2 |      | S3 |
      +----+        +----+      +----+

      Configuration: quorum = 2

In this setup, the point of view Sentinels is the same as the clients: if a primary is reachable by the majority of the clients, it is fine. C1, C2, C3 here are generic clients, it does not mean that C1 identifies a single client connected to Valkey. It is more likely something like an application server, a Rails app, or something like that.

If the box where M1 and S1 are running fails, the failover will happen without issues, however it is easy to see that different network partitions will result in different behaviors. For example Sentinel will not be able to setup if the network between the clients and the Valkey servers is disconnected, since the Valkey primary and replica will both be unavailable.

Note that if C3 gets partitioned with M1 (hardly possible with the network described above, but more likely possible with different layouts, or because of failures at the software layer), we have a similar issue as described in Example 2, with the difference that here we have no way to break the symmetry, since there is just a replica and a primary, so the primary can’t stop accepting queries when it is disconnected from its replica, otherwise the primary would never be available during replica failures.

So this is a valid setup but the setup in the Example 2 has advantages such as the HA system of Valkey running in the same boxes as Valkey itself which may be simpler to manage, and the ability to put a bound on the amount of time a primary in the minority partition can receive writes.

Example 4: Sentinel client side with less than three clients

The setup described in the Example 3 cannot be used if there are less than three boxes in the client side (for example three web servers). In this case we need to resort to a mixed setup like the following:

            +----+         +----+
            | M1 |----+----| R1 |
            | S1 |    |    | S2 |
            +----+    |    +----+
                      |
               +------+-----+
               |            |
               |            |
            +----+        +----+
            | C1 |        | C2 |
            | S3 |        | S4 |
            +----+        +----+

      Configuration: quorum = 3

This is similar to the setup in Example 3, but here we run four Sentinels in the four boxes we have available. If the primary M1 becomes unavailable the other three Sentinels will perform the failover.

In theory this setup works removing the box where C2 and S4 are running, and setting the quorum to 2. However it is unlikely that we want HA in the Valkey side without having high availability in our application layer.

Sentinel, Docker, NAT, and possible issues

Docker uses a technique called port mapping: programs running inside Docker containers may be exposed with a different port compared to the one the program believes to be using. This is useful in order to run multiple containers using the same ports, at the same time, in the same server.

Docker is not the only software system where this happens, there are other Network Address Translation setups where ports may be remapped, and sometimes not ports but also IP addresses.

Remapping ports and addresses creates issues with Sentinel in two ways:

  1. Sentinel auto-discovery of other Sentinels no longer works, since it is based on hello messages where each Sentinel announce at which port and IP address they are listening for connection. However Sentinels have no way to understand that an address or port is remapped, so it is announcing an information that is not correct for other Sentinels to connect.
  2. Replicas are listed in the INFO output of a Valkey primary in a similar way: the address is detected by the primary checking the remote peer of the TCP connection, while the port is advertised by the replica itself during the handshake, however the port may be wrong for the same reason as exposed in point 1.

Since Sentinels auto detect replicas using primaries INFO output information, the detected replicas will not be reachable, and Sentinel will never be able to failover the primary, since there are no good replicas from the point of view of the system, so there is currently no way to monitor with Sentinel a set of primary and replica instances deployed with Docker, unless you instruct Docker to map the port 1:1.

For the first problem, in case you want to run a set of Sentinel instances using Docker with forwarded ports (or any other NAT setup where ports are remapped), you can use the following two Sentinel configuration directives in order to force Sentinel to announce a specific set of IP and port:

sentinel announce-ip <ip>
sentinel announce-port <port>

Note that Docker has the ability to run in host networking mode (check the --net=host option for more information). This should create no issues since ports are not remapped in this setup.

IP Addresses and DNS names

Older versions of Sentinel did not support host names and required IP addresses to be specified everywhere. Starting with version 6.2, Sentinel has optional support for host names.

This capability is disabled by default. If you’re going to enable DNS/hostnames support, please note:

  1. The name resolution configuration on your Valkey and Sentinel nodes must be reliable and be able to resolve addresses quickly. Unexpected delays in address resolution may have a negative impact on Sentinel.
  2. You should use hostnames everywhere and avoid mixing hostnames and IP addresses. To do that, use replica-announce-ip <hostname> and sentinel announce-ip <hostname> for all Valkey and Sentinel instances, respectively.

Enabling the resolve-hostnames global configuration allows Sentinel to accept host names:

Sentinel will accept host names as valid inputs and resolve them, but will still refer to IP addresses when announcing an instance, updating configuration files, etc.

Enabling the announce-hostnames global configuration makes Sentinel use host names instead. This affects replies to clients, values written in configuration files, the REPLICAOF command issued to replicas, etc.

This behavior may not be compatible with all Sentinel clients, that may explicitly expect an IP address.

Using host names may be useful when clients use TLS to connect to instances and require a name rather than an IP address in order to perform certificate ASN matching.

A quick tutorial

In the next sections of this document, all the details about Sentinel API, configuration and semantics will be covered incrementally. However for people that want to play with the system ASAP, this section is a tutorial that shows how to configure and interact with 3 Sentinel instances.

Here we assume that the instances are executed at port 5000, 5001, 5002. We also assume that you have a running Valkey primary at port 6379 with a replica running at port 6380. We will use the IPv4 loopback address 127.0.0.1 everywhere during the tutorial, assuming you are running the simulation on your personal computer.

The three Sentinel configuration files should look like the following:

port 5000
sentinel monitor mymaster 127.0.0.1 6379 2
sentinel down-after-milliseconds mymaster 5000
sentinel failover-timeout mymaster 60000
sentinel parallel-syncs mymaster 1

The other two configuration files will be identical but using 5001 and 5002 as port numbers.

A few things to note about the above configuration:

Once you start the three Sentinels, you’ll see a few messages they log, like:

+monitor master mymaster 127.0.0.1 6379 quorum 2

This is a Sentinel event, and you can receive this kind of events via Pub/Sub if you SUBSCRIBE to the event name as specified later in Pubsub Messages section.

Sentinel generates and logs different events during failure detection and failover.

Asking Sentinel about the state of a primary

The most obvious thing to do with Sentinel to get started, is check if the primary it is monitoring is doing well:

$ valkey-cli -p 5000
127.0.0.1:5000> sentinel master mymaster
 1) "name"
 2) "mymaster"
 3) "ip"
 4) "127.0.0.1"
 5) "port"
 6) "6379"
 7) "runid"
 8) "953ae6a589449c13ddefaee3538d356d287f509b"
 9) "flags"
10) "master"
11) "link-pending-commands"
12) "0"
13) "link-refcount"
14) "1"
15) "last-ping-sent"
16) "0"
17) "last-ok-ping-reply"
18) "735"
19) "last-ping-reply"
20) "735"
21) "down-after-milliseconds"
22) "5000"
23) "info-refresh"
24) "126"
25) "role-reported"
26) "master"
27) "role-reported-time"
28) "532439"
29) "config-epoch"
30) "1"
31) "num-slaves"
32) "1"
33) "num-other-sentinels"
34) "2"
35) "quorum"
36) "2"
37) "failover-timeout"
38) "60000"
39) "parallel-syncs"
40) "1"

As you can see, it prints a number of information about the primary. There are a few that are of particular interest for us:

  1. num-other-sentinels is 2, so we know the Sentinel already detected two more Sentinels for this primary. If you check the logs you’ll see the +sentinel events generated.
  2. flags is just master. If the primary was down we could expect to see s_down or o_down flag as well here.
  3. num-slaves is correctly set to 1, so Sentinel also detected that there is an attached replica to our primary.

In order to explore more about this instance, you may want to try the following two commands:

SENTINEL replicas mymaster
SENTINEL sentinels mymaster

The first will provide similar information about the replicas connected to the primary, and the second about the other Sentinels.

Obtaining the address of the current primary

As we already specified, Sentinel also acts as a configuration provider for clients that want to connect to a set of primary and replicas. Because of possible failovers or reconfigurations, clients have no idea about who is the currently active primary for a given set of instances, so Sentinel exports an API to ask this question:

127.0.0.1:5000> SENTINEL get-master-addr-by-name mymaster
1) "127.0.0.1"
2) "6379"

Testing the failover

At this point our toy Sentinel deployment is ready to be tested. We can just kill our primary and check if the configuration changes. To do so we can just do:

valkey-cli -p 6379 DEBUG sleep 30

This command will make our primary no longer reachable, sleeping for 30 seconds. It basically simulates a primary hanging for some reason.

If you check the Sentinel logs, you should be able to see a lot of action:

  1. Each Sentinel detects the primary is down with an +sdown event.
  2. This event is later escalated to +odown, which means that multiple Sentinels agree about the fact the primary is not reachable.
  3. Sentinels vote a Sentinel that will start the first failover attempt.
  4. The failover happens.

If you ask again what is the current primary address for mymaster, eventually we should get a different reply this time:

127.0.0.1:5000> SENTINEL get-master-addr-by-name mymaster
1) "127.0.0.1"
2) "6380"

So far so good… At this point you may jump to create your Sentinel deployment or can read more to understand all the Sentinel commands and internals.

Sentinel API

Sentinel provides an API in order to inspect its state, check the health of monitored primaries and replicas, subscribe in order to receive specific notifications, and change the Sentinel configuration at run time.

By default Sentinel runs using TCP port 26379 (note that 6379 is the normal Valkey port). Sentinels accept commands using the Valkey protocol, so you can use valkey-cli or any other unmodified Valkey client in order to talk with Sentinel.

It is possible to directly query a Sentinel to check what is the state of the monitored Valkey instances from its point of view, to see what other Sentinels it knows, and so forth. Alternatively, using Pub/Sub, it is possible to receive push style notifications from Sentinels, every time some event happens, like a failover, or an instance entering an error condition, and so forth.

Sentinel commands

The SENTINEL command is the main API for Sentinel. The following is the list of its subcommands (minimal version is noted for where applicable):

For connection management and administration purposes, Sentinel supports the following subset of Valkey’s commands:

Lastly, Sentinel also supports the SUBSCRIBE, UNSUBSCRIBE, PSUBSCRIBE and PUNSUBSCRIBE commands. Refer to the Pub/Sub Messages section for more details.

Reconfiguring Sentinel at Runtime

Sentinel provides an API in order to add, remove, or change the configuration of a given primary. Note that if you have multiple sentinels you should apply the changes to all to your instances for Valkey Sentinel to work properly. This means that changing the configuration of a single Sentinel does not automatically propagate the changes to the other Sentinels in the network.

The following is a list of SENTINEL subcommands used in order to update the configuration of a Sentinel instance.

The following is an example of SENTINEL SET command in order to modify the down-after-milliseconds configuration of a primary called objects-cache:

SENTINEL SET objects-cache-master down-after-milliseconds 1000

As already stated, SENTINEL SET can be used to set all the configuration parameters that are settable in the startup configuration file. Moreover it is possible to change just the primary quorum configuration without removing and re-adding the primary with SENTINEL REMOVE followed by SENTINEL MONITOR, but simply using:

SENTINEL SET objects-cache-master quorum 5

Note that there is no equivalent GET command since SENTINEL MASTER provides all the configuration parameters in a simple to parse format (as a field/value pairs array).

Sentinel also allows getting and setting global configuration parameters which were only supported in the configuration file prior to that.

Global parameters that can be manipulated include:

Adding or removing Sentinels

Adding a new Sentinel to your deployment is a simple process because of the auto-discover mechanism implemented by Sentinel. All you need to do is to start the new Sentinel configured to monitor the currently active primary. Within 10 seconds the Sentinel will acquire the list of other Sentinels and the set of replicas attached to the primary.

If you need to add multiple Sentinels at once, it is suggested to add it one after the other, waiting for all the other Sentinels to already know about the first one before adding the next. This is useful in order to still guarantee that majority can be achieved only in one side of a partition, in the chance failures should happen in the process of adding new Sentinels.

This can be easily achieved by adding every new Sentinel with a 30 seconds delay, and during absence of network partitions.

At the end of the process it is possible to use the command SENTINEL MASTER <primary name> in order to check if all the Sentinels agree about the total number of Sentinels monitoring the primary.

Removing a Sentinel is a bit more complex: Sentinels never forget already seen Sentinels, even if they are not reachable for a long time, since we don’t want to dynamically change the majority needed to authorize a failover and the creation of a new configuration number. So in order to remove a Sentinel the following steps should be performed in absence of network partitions:

  1. Stop the Sentinel process of the Sentinel you want to remove.
  2. Send a SENTINEL RESET * command to all the other Sentinel instances (instead of * you can use the exact primary name if you want to reset just a single primary). One after the other, waiting at least 30 seconds between instances.
  3. Check that all the Sentinels agree about the number of Sentinels currently active, by inspecting the output of SENTINEL MASTER <primary name> of every Sentinel.

Removing the old primary or unreachable replicas

Sentinels never forget about replicas of a given primary, even when they are unreachable for a long time. This is useful, because Sentinels should be able to correctly reconfigure a returning replica after a network partition or a failure event.

Moreover, after a failover, the failed over primary is virtually added as a replica of the new primary, this way it will be reconfigured to replicate with the new primary as soon as it will be available again.

However sometimes you want to remove a replica (that may be the old primary) forever from the list of replicas monitored by Sentinels.

In order to do this, you need to send a SENTINEL RESET <primary name> command to all the Sentinels: they’ll refresh the list of replicas within the next 10 seconds, only adding the ones listed as correctly replicating from the current primary INFO output.

Pubsub messages

A client can use a Sentinel as a Valkey-compatible Pub/Sub server (but you can’t use PUBLISH) in order to SUBSCRIBE or PSUBSCRIBE to channels and get notified about specific events.

The channel name is the same as the name of the event. For instance the channel named +sdown will receive all the notifications related to instances entering an SDOWN (SDOWN means the instance is no longer reachable from the point of view of the Sentinel you are querying) condition.

To get all the messages simply subscribe using PSUBSCRIBE *.

The following is a list of channels and message formats you can receive using this API. The first word is the channel / event name, the rest is the format of the data.

Note: where instance details is specified it means that the following arguments are provided to identify the target instance:

<instance-type> <name> <ip> <port> @ <primary-name> <primary-ip> <primary-port>

The part identifying the primary (from the @ argument to the end) is optional and is only specified if the instance is not a primary itself.

Handling of -BUSY state

The -BUSY error is returned by a Valkey instance when a Lua script is running for more time than the configured Lua script time limit. When this happens before triggering a fail over Valkey Sentinel will try to send a SCRIPT KILL command, that will only succeed if the script was read-only.

If the instance is still in an error condition after this try, it will eventually be failed over.

Replicas priority

Valkey instances have a configuration parameter called replica-priority. This information is exposed by Valkey replica instances in their INFO output, and Sentinel uses it in order to pick a replica among the ones that can be used in order to failover a primary:

  1. If the replica priority is set to 0, the replica is never promoted to primary.
  2. Replicas with a lower priority number are preferred by Sentinel.

For example if there is a replica S1 in the same data center of the current primary, and another replica S2 in another data center, it is possible to set S1 with a priority of 10 and S2 with a priority of 100, so that if the primary fails and both S1 and S2 are available, S1 will be preferred.

For more information about the way replicas are selected, please check the Replica selection and priority section of this documentation.

Sentinel and Valkey authentication

When the primary is configured to require authentication from clients, as a security measure, replicas need to also be aware of the credentials in order to authenticate with the primary and create the primary-replica connection used for the asynchronous replication protocol.

Valkey Access Control List authentication

User authentication and permission is managed with the Access Control List (ACL).

In order for Sentinels to connect to Valkey server instances when they are configured with ACL, the Sentinel configuration must include the following directives:

sentinel auth-user <primary-name> <username>
sentinel auth-pass <primary-name> <password>

Where <username> and <password> are the username and password for accessing the group’s instances. These credentials should be provisioned on all of the group’s Valkey instances with the minimal control permissions. For example:

127.0.0.1:6379> ACL SETUSER sentinel-user ON >somepassword allchannels +multi +slaveaof +ping +exec +subscribe +config|rewrite +role +publish +info +client|setname +client|kill +script|kill

Valkey password-only authentication

Before ACL was introduced, authentication could be achieved using the following configuration directives:

When Sentinel is used, there is not a single primary, since after a failover replicas may play the role of primaries, and old primaries can be reconfigured in order to act as replicas, so what you want to do is to set the above directives in all your instances, both primaries and replicas.

This is also usually a sane setup since you don’t want to protect data only in the primary, having the same data accessible in the replicas.

However, in the uncommon case where you need a replica that is accessible without authentication, you can still do it by setting up a replica priority of zero, to prevent this replica from being promoted to primary, and configuring in this replica only the masterauth directive, without using the requirepass directive, so that data will be readable by unauthenticated clients.

In order for Sentinels to connect to Valkey server instances when they are configured with requirepass, the Sentinel configuration must include the sentinel auth-pass directive, in the format:

sentinel auth-pass <primary-name> <password>

Configuring Sentinel instances with authentication

Sentinel instances themselves can be secured by requiring clients to authenticate via the AUTH command. Starting with Redis OSS 6.2, the Access Control List (ACL) is available, whereas older versions support password-only authentication.

Note that Sentinel’s authentication configuration should be applied to each of the instances in your deployment, and all instances should use the same configuration. Furthermore, ACL and password-only authentication should not be used together.

Sentinel Access Control List authentication

The first step in securing a Sentinel instance with ACL is preventing any unauthorized access to it. To do that, you’ll need to disable the default superuser (or at the very least set it up with a strong password) and create a new one and allow it access to Pub/Sub channels:

127.0.0.1:5000> ACL SETUSER admin ON >admin-password allchannels +@all
OK
127.0.0.1:5000> ACL SETUSER default off
OK

The default user is used by Sentinel to connect to other instances. You can provide the credentials of another superuser with the following configuration directives:

sentinel sentinel-user <username>
sentinel sentinel-pass <password>

Where <username> and <password> are the Sentinel’s superuser and password, respectively (e.g. admin and admin-password in the example above).

Lastly, for authenticating incoming client connections, you can create a Sentinel restricted user profile such as the following:

127.0.0.1:5000> ACL SETUSER sentinel-user ON >user-password -@all +auth +client|getname +client|id +client|setname +command +hello +ping +role +sentinel|get-master-addr-by-name +sentinel|master +sentinel|myid +sentinel|replicas +sentinel|sentinels

Refer to the documentation of your Sentinel client of choice for further information.

Sentinel password-only authentication

To use Sentinel with password-only authentication, add the requirepass configuration directive to all your Sentinel instances as follows:

requirepass "your_password_here"

When configured this way, Sentinels will do two things:

  1. A password will be required from clients in order to send commands to Sentinels. This is obvious since this is how such configuration directive works in Valkey in general.
  2. Moreover the same password configured to access the local Sentinel, will be used by this Sentinel instance in order to authenticate to all the other Sentinel instances it connects to.

This means that you will have to configure the same requirepass password in all the Sentinel instances. This way every Sentinel can talk with every other Sentinel without any need to configure for each Sentinel the password to access all the other Sentinels, that would be very impractical.

Before using this configuration, make sure your client library can send the AUTH command to Sentinel instances.

### Sentinel clients implementation

Sentinel requires explicit client support, unless the system is configured to execute a script that performs a transparent redirection of all the requests to the new primary instance (virtual IP or other similar systems). The topic of client libraries implementation is covered in the document Sentinel clients guidelines.

More advanced concepts

In the following sections we’ll cover a few details about how Sentinel works, without resorting to implementation details and algorithms that will be covered in the final part of this document.

SDOWN and ODOWN failure state

Valkey Sentinel has two different concepts of being down, one is called a Subjectively Down condition (SDOWN) and is a down condition that is local to a given Sentinel instance. Another is called Objectively Down condition (ODOWN) and is reached when enough Sentinels (at least the number configured as the quorum parameter of the monitored primary) have an SDOWN condition, and get feedback from other Sentinels using the SENTINEL is-master-down-by-addr command.

From the point of view of a Sentinel an SDOWN condition is reached when it does not receive a valid reply to PING requests for the number of seconds specified in the configuration as is-master-down-after-milliseconds parameter.

An acceptable reply to PING is one of the following:

Any other reply (or no reply at all) is considered non valid. However note that a logical primary that advertises itself as a replica in the INFO output is considered to be down.

Note that SDOWN requires that no acceptable reply is received for the whole interval configured, so for instance if the interval is 30000 milliseconds (30 seconds) and we receive an acceptable ping reply every 29 seconds, the instance is considered to be working.

SDOWN is not enough to trigger a failover: it only means a single Sentinel believes a Valkey instance is not available. To trigger a failover, the ODOWN state must be reached.

To switch from SDOWN to ODOWN no strong consensus algorithm is used, but just a form of gossip: if a given Sentinel gets reports that a primary is not working from enough Sentinels in a given time range, the SDOWN is promoted to ODOWN. If this acknowledge is later missing, the flag is cleared.

A more strict authorization that uses an actual majority is required in order to really start the failover, but no failover can be triggered without reaching the ODOWN state.

The ODOWN condition only applies to primaries. For other kind of instances Sentinel doesn’t require to act, so the ODOWN state is never reached for replicas and other sentinels, but only SDOWN is.

However SDOWN has also semantic implications. For example a replica in SDOWN state is not selected to be promoted by a Sentinel performing a failover.

Sentinels and replicas auto discovery

Sentinels stay connected with other Sentinels in order to reciprocally check the availability of each other, and to exchange messages. However you don’t need to configure a list of other Sentinel addresses in every Sentinel instance you run, as Sentinel uses the Valkey instances Pub/Sub capabilities in order to discover the other Sentinels that are monitoring the same primaries and replicas.

This feature is implemented by sending hello messages into the channel named __sentinel__:hello.

Similarly you don’t need to configure what is the list of the replicas attached to a primary, as Sentinel will auto discover this list querying Valkey.

Sentinel reconfiguration of instances outside the failover procedure

Even when no failover is in progress, Sentinels will always try to set the current configuration on monitored instances. Specifically:

For Sentinels to reconfigure replicas, the wrong configuration must be observed for some time, that is greater than the period used to broadcast new configurations.

This prevents Sentinels with a stale configuration (for example because they just rejoined from a partition) will try to change the replicas configuration before receiving an update.

Also note how the semantics of always trying to impose the current configuration makes the failover more resistant to partitions:

The important lesson to remember about this section is: Sentinel is a system where each process will always try to impose the last logical configuration to the set of monitored instances.

Replica selection and priority

When a Sentinel instance is ready to perform a failover, since the primary is in ODOWN state and the Sentinel received the authorization to failover from the majority of the Sentinel instances known, a suitable replica needs to be selected.

The replica selection process evaluates the following information about replicas:

  1. Disconnection time from the primary.
  2. Replica priority.
  3. Replication offset processed.
  4. Run ID.

A replica that is found to be disconnected from the primary for more than ten times the configured primary timeout (down-after-milliseconds option), plus the time the primary is also not available from the point of view of the Sentinel doing the failover, is considered to be not suitable for the failover and is skipped.

In more rigorous terms, a replica whose the INFO output suggests it has been disconnected from the primary for more than:

(down-after-milliseconds * 10) + milliseconds_since_master_is_in_SDOWN_state

Is considered to be unreliable and is disregarded entirely.

The replica selection only considers the replicas that passed the above test, and sorts it based on the above criteria, in the following order.

  1. The replicas are sorted by replica-priority as configured in the valkey.conf file of the Valkey instance. A lower priority will be preferred.
  2. If the priority is the same, the replication offset processed by the replica is checked, and the replica that received more data from the primary is selected.
  3. If multiple replicas have the same priority and processed the same data from the primary, a further check is performed, selecting the replica with the lexicographically smaller run ID. Having a lower run ID is not a real advantage for a replica, but is useful in order to make the process of replica selection more deterministic, instead of resorting to select a random replica.

In most cases, replica-priority does not need to be set explicitly so all instances will use the same default value. If there is a particular fail-over preference, replica-priority must be set on all instances, including primaries, as a primary may become a replica at some future point in time - and it will then need the proper replica-priority settings.

A Valkey instance can be configured with a special replica-priority of zero in order to be never selected by Sentinels as the new primary. However a replica configured in this way will still be reconfigured by Sentinels in order to replicate with the new primary after a failover, the only difference is that it will never become a primary itself.

Algorithms and internals

In the following sections we will explore the details of Sentinel behavior. It is not strictly needed for users to be aware of all the details, but a deep understanding of Sentinel may help to deploy and operate Sentinel in a more effective way.

Quorum

The previous sections showed that every primary monitored by Sentinel is associated to a configured quorum. It specifies the number of Sentinel processes that need to agree about the unreachability or error condition of the primary in order to trigger a failover.

However, after the failover is triggered, in order for the failover to actually be performed, at least a majority of Sentinels must authorize the Sentinel to failover. Sentinel never performs a failover in the partition where a minority of Sentinels exist.

Let’s try to make things a bit more clear:

The difference may seem subtle but is actually quite simple to understand and use. For example if you have 5 Sentinel instances, and the quorum is set to 2, a failover will be triggered as soon as 2 Sentinels believe that the primary is not reachable, however one of the two Sentinels will be able to failover only if it gets authorization at least from 3 Sentinels.

If instead the quorum is configured to 5, all the Sentinels must agree about the primary error condition, and the authorization from all Sentinels is required in order to failover.

This means that the quorum can be used to tune Sentinel in two ways:

  1. If a quorum is set to a value smaller than the majority of Sentinels we deploy, we are basically making Sentinel more sensitive to primary failures, triggering a failover as soon as even just a minority of Sentinels is no longer able to talk with the primary.
  2. If a quorum is set to a value greater than the majority of Sentinels, we are making Sentinel able to failover only when there are a very large number (larger than majority) of well connected Sentinels which agree about the primary being down.

Configuration epochs

Sentinels require to get authorizations from a majority in order to start a failover for a few important reasons:

When a Sentinel is authorized, it gets a unique configuration epoch for the primary it is failing over. This is a number that will be used to version the new configuration after the failover is completed. Because a majority agreed that a given version was assigned to a given Sentinel, no other Sentinel will be able to use it. This means that every configuration of every failover is versioned with a unique version. We’ll see why this is so important.

Moreover Sentinels have a rule: if a Sentinel voted another Sentinel for the failover of a given primary, it will wait some time to try to failover the same primary again. This delay is the 2 * failover-timeout you can configure in sentinel.conf. This means that Sentinels will not try to failover the same primary at the same time, the first to ask to be authorized will try, if it fails another will try after some time, and so forth.

Valkey Sentinel guarantees the liveness property that if a majority of Sentinels are able to talk, eventually one will be authorized to failover if the primary is down.

Valkey Sentinel also guarantees the safety property that every Sentinel will failover the same primary using a different configuration epoch.

Configuration propagation

Once a Sentinel is able to failover a primary successfully, it will start to broadcast the new configuration so that the other Sentinels will update their information about a given primary.

For a failover to be considered successful, it requires that the Sentinel was able to send the REPLICAOF NO ONE command to the selected replica, and that the switch to primary was later observed in the INFO output of the primary.

At this point, even if the reconfiguration of the replicas is in progress, the failover is considered to be successful, and all the Sentinels are required to start reporting the new configuration.

The way a new configuration is propagated is the reason why we need that every Sentinel failover is authorized with a different version number (configuration epoch).

Every Sentinel continuously broadcast its version of the configuration of a primary using Valkey Pub/Sub messages, both in the primary and all the replicas. At the same time all the Sentinels wait for messages to see what is the configuration advertised by the other Sentinels.

Configurations are broadcast in the __sentinel__:hello Pub/Sub channel.

Because every configuration has a different version number, the greater version always wins over smaller versions.

So for example the configuration for the primary mymaster start with all the Sentinels believing the primary is at 192.168.1.50:6379. This configuration has version 1. After some time a Sentinel is authorized to failover with version 2. If the failover is successful, it will start to broadcast a new configuration, let’s say 192.168.1.50:9000, with version 2. All the other instances will see this configuration and will update their configuration accordingly, since the new configuration has a greater version.

This means that Sentinel guarantees a second liveness property: a set of Sentinels that are able to communicate will all converge to the same configuration with the higher version number.

Basically if the net is partitioned, every partition will converge to the higher local configuration. In the special case of no partitions, there is a single partition and every Sentinel will agree about the configuration.

Consistency under partitions

Valkey Sentinel configurations are eventually consistent, so every partition will converge to the higher configuration available. However in a real-world system using Sentinel there are three different players:

In order to define the behavior of the system we have to consider all three.

The following is a simple network where there are 3 nodes, each running a Valkey instance, and a Sentinel instance:

            +--------------+
            | Sentinel 1   |----- Client A
            | Valkey 1 (M) |
            +--------------+
                    |
                    |
+--------------+    |          +-------------+
| Sentinel 2   |----+-- // ----| Sentinel 3  |----- Client B
| Valkey 2 (S) |               | Valkey 3 (M)|
+--------------+               +-------------+

In this system the original state was that Valkey 3 was the primary, while Valkey 1 and 2 were replicas. A partition occurred isolating the old primary. Sentinels 1 and 2 started a failover promoting Sentinel 1 as the new primary.

The Sentinel properties guarantee that Sentinel 1 and 2 now have the new configuration for the primary. However Sentinel 3 has still the old configuration since it lives in a different partition.

We know that Sentinel 3 will get its configuration updated when the network partition will heal, however what happens during the partition if there are clients partitioned with the old primary?

Clients will be still able to write to Valkey 3, the old primary. When the partition will rejoin, Valkey 3 will be turned into a replica of Valkey 1, and all the data written during the partition will be lost.

Depending on your configuration you may want or not that this scenario happens:

Since Valkey is asynchronously replicated, there is no way to totally prevent data loss in this scenario, however you can bound the divergence between Valkey 3 and Valkey 1 using the following Valkey configuration option:

min-replicas-to-write 1
min-replicas-max-lag 10

With the above configuration (please see the self-commented valkey.conf example in the Valkey distribution for more information) a Valkey instance, when acting as a primary, will stop accepting writes if it can’t write to at least 1 replica. Since replication is asynchronous not being able to write actually means that the replica is either disconnected, or is not sending us asynchronous acknowledges for more than the specified max-lag number of seconds.

Using this configuration the Valkey 3 in the above example will become unavailable after 10 seconds. When the partition heals, the Sentinel 3 configuration will converge to the new one, and Client B will be able to fetch a valid configuration and continue.

In general Valkey + Sentinel as a whole are an eventually consistent system where the merge function is last failover wins, and the data from old primaries are discarded to replicate the data of the current primary, so there is always a window for losing acknowledged writes. This is due to Valkey asynchronous replication and the discarding nature of the “virtual” merge function of the system. Note that this is not a limitation of Sentinel itself, and if you orchestrate the failover with a strongly consistent replicated state machine, the same properties will still apply. There are only two ways to avoid losing acknowledged writes:

  1. Use synchronous replication (and a proper consensus algorithm to run a replicated state machine).
  2. Use an eventually consistent system where different versions of the same object can be merged.

Valkey (like it’s predecessor Redis OSS) is currently not able to use any of the above systems, and using them is currently outside the development goals. However, there are proxies implementing solution “2” on top of Redis OSS stores such as SoundCloud Roshi, or Netflix Dynomite.

Sentinel persistent state

Sentinel state is persisted in the sentinel configuration file. For example every time a new configuration is received, or created (leader Sentinels), for a primary, the configuration is persisted on disk together with the configuration epoch. This means that it is safe to stop and restart Sentinel processes.

TILT mode

Valkey Sentinel is heavily dependent on the computer time: for instance in order to understand if an instance is available it remembers the time of the latest successful reply to the PING command, and compares it with the current time to understand how old it is.

However if the computer time changes in an unexpected way, or if the computer is very busy, or the process blocked for some reason, Sentinel may start to behave in an unexpected way.

The TILT mode is a special “protection” mode that a Sentinel can enter when something odd is detected that can lower the reliability of the system. The Sentinel timer interrupt is normally called 10 times per second, so we expect that more or less 100 milliseconds will elapse between two calls to the timer interrupt.

What a Sentinel does is to register the previous time the timer interrupt was called, and compare it with the current call: if the time difference is negative or unexpectedly big (2 seconds or more) the TILT mode is entered (or if it was already entered the exit from the TILT mode postponed).

When in TILT mode the Sentinel will continue to monitor everything, but:

If everything appears to be normal for 30 seconds, the TILT mode is exited.

In the Sentinel TILT mode, if we send the INFO command, we could get the following response:

$ valkey-cli -p 26379
127.0.0.1:26379> info
(Other information from Sentinel server skipped.)

# Sentinel
sentinel_masters:1
sentinel_tilt:0
sentinel_tilt_since_seconds:-1
sentinel_running_scripts:0
sentinel_scripts_queue_length:0
sentinel_simulate_failure_flags:0
master0:name=mymaster,status=ok,address=127.0.0.1:6379,slaves=0,sentinels=1

The field “sentinel_tilt_since_seconds” indicates how many seconds the Sentinel already is in the TILT mode. If it is not in TILT mode, the value will be -1.

Note that in some ways TILT mode could be replaced using the monotonic clock API that many kernels offer. However it is not still clear if this is a good solution since the current system avoids issues in case the process is just suspended or not executed by the scheduler for a long time.

A note about the words “master” and “slave” used in this man page: If not for backward compatibility, the Valkey project no longer uses the words “master” and “slave”. Unfortunately in this command these words are part of the protocol, so we’ll be able to remove such occurrences only when this API will be naturally deprecated.