Merge pull request #12893 from hashicorp/docs/improve-consul-server-resilience
docs: add guidance on improving Consul resilience
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layout: docs
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page_title: Improving Consul Resilience
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description: >-
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Fault tolerance is the ability of a system to continue operating without interruption
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despite the failure of one or more components. Consul's resilience, or fault tolerance,
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is determined by the configuring of its voting server agents. Recommended strategies for
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increasing Consul's fault tolerance include using 3 or 5 voting server agents, spreading
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server agents across infrastructure availability zones, and using Consul Enterprise
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redundancy zones to enable backup voting servers to automatically replace lost voters.
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---
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# Improving Consul Resilience
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Fault tolerance is the ability of a system to continue operating without interruption
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despite the failure of one or more components.
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The most basic production deployment of Consul has 3 server agents and can lose a single
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server without interruption.
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As you continue to use Consul, your circumstances may change.
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Perhaps a datacenter becomes more business critical or risk management policies change,
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necessitating an increase in fault tolerance.
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The sections below discuss options for how to improve Consul's fault tolerance.
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## Fault Tolerance in Consul
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Consul's fault tolerance is determined by the configuration of its voting server agents.
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Each Consul datacenter depends on a set of Consul voting server agents.
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The voting servers ensure Consul has a consistent, fault-tolerant state
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by requiring a majority of voting servers, known as a quorum, to agree upon any state changes.
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Examples of state changes include: adding or removing services,
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adding or removing nodes, and changes in service or node health status.
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Without a quorum, Consul experiences an outage:
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it cannot provide most of its capabilities because they rely on
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the availability of this state information.
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If Consul has an outage, normal operation can be restored by following the
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[outage recovery guide](https://learn.hashicorp.com/tutorials/consul/recovery-outage).
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If Consul is deployed with 3 servers, the quorum size is 2. The deployment can lose 1
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server and still maintain quorum, so it has a fault tolerance of 1.
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If Consul is instead deployed with 5 servers, the quorum size increases to 3, so
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the fault tolerance increases to 2.
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To learn more about the relationship between the
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number of servers, quorum, and fault tolerance, refer to the
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[concensus protocol documentation](/docs/architecture/consensus#deployment_table).
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Effectively mitigating your risk is more nuanced than just increasing the fault tolerance
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metric described above. You must consider:
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### Correlated Risks
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Are you protected against correlated risks? Infrastructure-level failures can cause multiple servers to fail at the same time. This means that a single infrastructure-level failure could cause a Consul outage, even if your server-level fault tolerance is 2.
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### Mitigation Costs
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What are the costs of the mitigation? Different mitigation options present different trade-offs for operational complexity, computing cost, and Consul request performance.
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## Strategies to Increase Fault Tolerance
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The following sections explore several options for increasing Consul's fault tolerance.
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HashiCorp recommends all production deployments consider:
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- [Spreading Consul servers across availability zones](#spread-servers-across-infrastructure-availability-zones)
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- <EnterpriseAlert inline /><a href="#use-backup-voting-servers-to-replace-lost-voters">Using backup voting servers to replace lost voters</a>
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### Spread Servers Across Infrastructure Availability Zones
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The cloud or on-premise infrastructure underlying your [Consul datacenter](/docs/install/glossary#datacenter)
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may be split into several "availability zones".
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An availability zone is meant to share no points of failure with other zones by:
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- Having power, cooling, and networking systems independent from other zones
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- Being physically distant enough from other zones so that large-scale disruptions
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such as natural disasters (flooding, earthquakes) are very unlikely to affect multiple zones
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Availability zones are available in the regions of most cloud providers and in some on-premise installations.
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If possible, spread your Consul voting servers across 3 availability zones
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to protect your Consul datacenter from a single zone-level failure.
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For example, if deploying 5 Consul servers across 3 availability zones, place no more than 2 servers in each zone.
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If one zone fails, at most 2 servers are lost and quorum will be maintained by the 3 remaining servers.
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To distribute your Consul servers across availability zones, modify your infrastructure configuration with your infrastructure provider. No change is needed to your Consul server’s agent configuration.
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Additionally, you should leverage resources that can automatically restore your compute instance,
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such as autoscaling groups, virtual machine scale sets, or compute engine autoscaler.
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The autoscaling resources can be customized to re-deploy servers into specific availability zones
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and ensure the desired numbers of servers are available at all time.
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### Add More Voting Servers
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For most production use cases, we recommend using either 3 or 5 voting servers,
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yielding a server-level fault tolerance of 1 or 2 respectively.
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Even though it would improve fault tolerance,
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adding voting servers beyond 5 is **not recommended** because it decreases Consul's performance—
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it requires Consul to involve more servers in every state change or consistent read.
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Consul Enterprise provides a way to improve fault tolerance without this performance penalty:
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[using backup voting servers to replace lost voters](#use-backup-voting-servers-to-replace-lost-voters).
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### <EnterpriseAlert inline /> Use Backup Voting Servers to Replace Lost Voters
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Consul Enterprise [redundancy zones](/docs/enterprise/redundancy)
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can be used to improve fault tolerance without the performance penalty of increasing the number of voting servers.
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Each redundancy zone should be assigned 2 or more Consul servers.
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If all servers are healthy, only one server per redundancy zone will be an active voter;
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all other servers will be backup voters.
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If a zone's voter is lost, it will be replaced by:
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- A backup voter within the same zone, if any. Otherwise,
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- A backup voter within another zone, if any.
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Consul can replace lost voters with backup voters within 30 seconds in most cases.
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Because this replacement process is not instantaneous,
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redundancy zones do not improve immediate fault tolerance—
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the number of healthy voting servers that can fail at once without causing an outage.
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Instead, redundancy zones improve optimistic fault tolerance:
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the number of healthy active and back-up voting servers that can fail gradually without causing an outage.
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The relationship between these two types of fault tolerance is:
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_Optimistic fault tolerance = immediate fault tolerance + the number of healthy backup voters_
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For example, consider a Consul datacenter with 3 redundancy zones and 2 servers per zone.
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There will be 3 voting servers (1 per zone), meaning a quorum size of 2 and an immediate fault tolerance of 1.
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There will also be 3 backup voters (1 per zone), each of which increase the optimistic fault tolerance.
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Therefore, the optimistic fault tolerance is 4.
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This provides performance similar to a 3 server setup with fault tolerance similar to a 7 server setup.
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We recommend associating each Consul redundancy zone with an infrastructure availability zone
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to also gain the infrastructure-level fault tolerance benefits provided by availability zones.
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However, Consul redundancy zones can be used even without the backing of infrastructure availability zones.
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For more information on redundancy zones, refer to:
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- [Redundancy zone documentation](/docs/enterprise/redundancy)
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for a more detailed explanation
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- [Redundancy zone tutorial](https://learn.hashicorp.com/tutorials/consul/redundancy-zones?in=consul/enterprise)
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to learn how to use them
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@ -1086,6 +1086,10 @@
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"title": "Overview",
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"path": "architecture"
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},
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{
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"title": "Improving Consul Resilience",
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"path": "architecture/improving-consul-resilience"
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},
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{
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"title": "Anti-Entropy",
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"path": "architecture/anti-entropy"
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