Anti-Entropy Enforcement

Consul uses an advanced method of maintaining service and health information. This page details how services and checks are registered, how the catalog is populated, and how health status information is updated as it changes.

Components

It is important to first understand the moving pieces involved in services and health checks: the agent and the catalog. These are described conceptually below to make anti-entropy easier to understand.

Agent

Each Consul agent maintains its own set of service and check registrations as well as health information. The agents are responsible for executing their own health checks and updating their local state.

Services and checks within the context of an agent have a rich set of configuration options available. This is because the agent is responsible for generating information about its services and their health through the use of health checks.

Catalog

Consul's service discovery is backed by a service catalog. This catalog is formed by aggregating information submitted by the agents. The catalog maintains the high-level view of the cluster, including which services are available, which nodes run those services, health information, and more. The catalog is used to expose this information via the various interfaces Consul provides, including DNS and HTTP.

Services and checks within the context of the catalog have a much more limited set of fields when compared with the agent. This is because the catalog is only responsible for recording and returning information about services, nodes, and health.

The catalog is maintained only by server nodes. This is because the catalog is replicated via the Raft log to provide a consolidated and consistent view of the cluster.

Anti-Entropy

Entropy is the tendency of systems to become increasingly disordered. Consul's anti-entropy mechanisms are designed to counter this tendency, to keep the state of the cluster ordered even through failures of its components.

Consul has a clear separation between the global service catalog and the agent's local state as discussed above. The anti-entropy mechanism reconciles these two views of the world: anti-entropy is a synchronization of the local agent state and the catalog. For example, when a user registers a new service or check with the agent, the agent in turn notifies the catalog that this new check exists. Similarly, when a check is deleted from the agent, it is consequently removed from the catalog as well.

Anti-entropy is also used to update availability information. As agents run their health checks, their status may change in which case their new status is synced to the catalog. Using this information, the catalog can respond intelligently to queries about its nodes and services based on their availability.

During this synchronization, the catalog is also checked for correctness. If any services or checks exist in the catalog that the agent is not aware of, they will be automatically removed to make the catalog reflect the proper set of services and health information for that agent. Consul treats the state of the agent as authoritative; if there are any differences between the agent and catalog view, the agent-local view will always be used.

Periodic Synchronization

In addition to running when changes to the agent occur, anti-entropy is also a long-running process which periodically wakes up to sync service and check status to the catalog. This ensures that the catalog closely matches the agent's true state. This also allows Consul to re-populate the service catalog even in the case of complete data loss.

To avoid saturation, the amount of time between periodic anti-entropy runs will vary based on cluster size. The table below defines the relationship between cluster size and sync interval:

The intervals above are approximate. Each Consul agent will choose a randomly staggered start time within the interval window to avoid a thundering herd.

Best-effort sync

Anti-entropy can fail in a number of cases, including misconfiguration of the agent or its operating environment, I/O problems (full disk, filesystem permission, etc.), networking problems (agent cannot communicate with server), among others. Because of this, the agent attempts to sync in best-effort fashion.

If an error is encountered during an anti-entropy run, the error is logged and the agent continues to run. The anti-entropy mechanism is run periodically to automatically recover from these types of transient failures.

Enable Tag Override

Synchronization of service registration can be partially modified to allow external agents to change the tags for a service. This can be useful in situations where an external monitoring service needs to be the source of truth for tag information. For example, the Redis database and its monitoring service Redis Sentinel have this kind of relationship. Redis instances are responsible for much of their configuration, but Sentinels determine whether the Redis instance is a primary or a secondary. Enable the enable_tag_override parameter in your service definition file to tell the Consul agent where the Redis database is running to bypass tags during anti-entropy synchronization. Refer to Modify anti-entropy synchronization for additional information.