» Vault Deployment Reference Architecture

The goal of this document is to recommend HashiCorp Vault deployment practices. This reference architecture conveys a general architecture that should be adapted to accommodate the specific needs of each implementation.

The following topics are addressed in this guide:

» Deployment Topology within One Datacenter

This section explains how to deploy a Vault open source cluster in one datacenter. Once a Vault cluster is running successfully within one datacenter, move on to deploying Vault Enterprise across multiple datacenters.

» Reference Diagram

Eight Nodes with Consul Storage Backend Reference diagram

» Design Summary

This design is the recommended architecture for production environments, as it provides flexibility and resilience. Consul servers are separate from the Vault servers so that software upgrades are easier to perform. Additionally, separate Consul and Vault servers allows for separate sizing for each. Vault to Consul backend connectivity is over HTTP and should be secured with TLS as well as a Consul token to provide encryption of all traffic.

» Failure Tolerance

Typical distribution in a cloud environment is to spread Consul/Vault nodes into separate Availability Zones (AZs) within a high bandwidth, low latency network, such as an AWS Region. The diagram below shows Vault and Consul spread between AZs, with Consul servers in Redundancy Zone configurations, promoting a single voting member per AZ, providing both Zone and Node level failure protection.

Failure tolerance|40%

» Network Connectivity Details

Network Connectivity Details

» Deployment System Requirements

The following table provides guidelines for server sizing. Of particular note is the strong recommendation to avoid non-fixed performance CPUs, or “Burstable CPU” in AWS terms, such as T-series instances.

» Sizing for Vault Servers

Size CPU Memory Disk Typical Cloud Instance Types
Small 2 core 4-8 GB RAM 25 GB AWS: m5.large
Azure: Standard_A2_v2, Standard_A4_v2
GCE: n1-standard-4, n1-standard-8
Large 4-8 core 16-32 GB RAM 50 GB AWS: m5.xlarge, m5.2xlarge
Azure: Standard_D4_v3, Standard_D8_v3
GCE: n1-standard-16, n1-standard-32

» Sizing for Consul Servers

Size CPU Memory Disk Typical Cloud Instance Types
Small 2 core 8-16 GB RAM 50 GB AWS: m5.large, m5.xlarge
Azure: Standard_A4_v2, Standard_A8_v2
GCE: n1-standard-8, n1-standard-16
Large 4-8 core 32-64+ GB RAM 100 GB AWS: m5.2xlarge, m5.4xlarge
Azure: Standard_D4_v3, Standard_D5_v3
GCE: n1-standard-32, n1-standard-64

» Hardware Considerations

The small size category would be appropriate for most initial production deployments, or for development/testing environments.

The large size is for production environments where there is a consistent high workload. That might be a large number of transactions, a large number of secrets, or a combination of the two.

In general, processing requirements will be dependent on encryption workload and messaging workload (operations per second, and types of operations). Memory requirements will be dependent on the total size of secrets/keys stored in memory and should be sized according to that data (as should the hard drive storage). Vault itself has minimal storage requirements, but the underlying storage backend should have a relatively high-performance hard disk subsystem. If many secrets are being generated/rotated frequently, this information will need to flush to disk often and can impact performance if slower hard drives are used.

Consul servers function in this deployment is to serve as the storage backend for Vault. This means that all content stored for persistence in Vault is encrypted by Vault, and written to the storage backend at rest. This data is written to the key-value store section of Consul’s Service Catalog, which is required to be stored in its entirety in-memory on each Consul server. This means that memory can be a constraint in scaling as more clients authenticate to Vault, more secrets are persistently stored in Vault, and more temporary secrets are leased from Vault. This also has the effect of requiring vertical scaling on Consul server’s memory if additional space is required, as the entire Service Catalog is stored in memory on each Consul server.

Furthermore, network throughput is a common consideration for Vault and Consul servers. As both systems are HTTPS API driven, all incoming requests, communications between Vault and Consul, underlying gossip communication between Consul cluster members, communications with external systems (per auth or secret engine configuration, and some audit logging configurations) and responses consume network bandwidth.

» Other Considerations

Vault Production Hardening Recommendations provides guidance on best practices for a production hardened deployment of Vault.

» Load Balancing

» Load Balancing Using Consul Interface

Consul can provide load balancing capabilities, but it requires that any Vault clients are Consul aware. This means that a client can either utilize Consul DNS or API interfaces to resolve the active Vault node. A client might access Vault via a URL like the following: http://active.vault.service.consul:8200

This relies upon the operating system DNS resolution system, and the request could be forwarded to Consul for the actual IP address response. The operation can be completely transparent to legacy applications and would operate just as a typical DNS resolution operation.

» Load Balancing Using External Load Balancer

External load balancers are supported as well, and would be placed in front of the Vault cluster, and would poll specific Vault URL’s to detect the active node and route traffic accordingly. An HTTP request to the active node with the following URL will respond with a 200 status: http://<Vault Node URL>:8200/v1/sys/health

The following is a sample configuration block from HAProxy to illustrate:

listen vault
    balance roundrobin
    option httpchk GET /v1/sys/health
    server vault1 check
    server vault2 check
    server vault3 check

Note that the above block could be generated by Consul (with consul-template) when a software load balancer is used. This could be the case when the load balancer is software like Nginx, HAProxy, or Apache.

Example Consul Template for the above HAProxy block:

listen vault
   balance roundrobin
   option httpchk GET /v1/sys/health{{range service "vault"}}
   server {{.Node}} {{.Address}}:{{.Port}} check{{end}}

» Client IP Address Handling

Vault does not support X-Forwarded-For at this time due to security concerns, as an attacker can perform a header injection to impersonate another client. Vault does have PROXY v1 protocol support. This is well supported by HAProxy and AWS ELB’s. Another HAProxy blog post with some good info on PROXY protocol. It is worth pointing out that F5 load balancers do support it as well.

Note that the Vault listener must be properly configured to support this functionality.

» High Availability

A Vault cluster is the high-available unit of deployment within one datacenter. A recommended approach is three Vault servers with a Consul storage backend. With this configuration, during a Vault server outage, failover is handled immediately without human intervention. To learn more about setting up your Vault servers in HA mode, read Vault HA with Consul guide.

High-availability and data locality across datacenters requires Vault Enterprise.

» Deployment Topology for Multiple Datacenters

» Vault Replication

HashiCorp Vault Enterprise provides two modes of replication, performance and disaster recovery. The Vault documentation provides more detailed information on the replication capabilities within Vault Enterprise.

Replication Pattern

» Performance Replication

Vault performance replication allows for secrets management across many sites. Secrets, authentication methods, authorization policies and other details are replicated to be active and available in multiple locations.

» Disaster Recovery Replication

Vault disaster recovery replication ensures that a standby Vault cluster is kept synchronized with an active Vault cluster. This mode of replication includes data such as ephemeral authentication tokens, time-based token information as well as token usage data. This provides for aggressive recovery point objective in environments where high availability is of the utmost concern.

» Cross-Region Disaster Recovery

If your disaster recovery strategy is to plan for a loss of an entire data center, the following diagram illustrates a possible replication scenario.

Replication Pattern

In this scenario, if the Vault cluster in Region A fails and you promote the DR cluster in Region B to be the new primary, your applications will need to read and write secrets from the Vault cluster in Region B. This may or may not raise an issue for your applications, but you need to take that into a consideration during the planning.

» In-Region Disaster Recovery

If your disaster recovery strategy is to plan for a loss of a cluster but not the entire data center, the following diagram illustrates a possible replication scenario.

Replication Pattern

» Replication Notes

  • There is no set limit on number of clusters within a replication set. Largest deployments today are in the 30+ cluster range.
  • Any cluster within a Performance replication set can act as a Disaster Recovery primary cluster.
  • A cluster within a Performance replication set can also replicate to multiple Disaster Recovery secondary clusters.
  • While a Vault cluster can possess a replication role (or roles), there are no special considerations required in terms of infrastructure, and clusters can assume (or be promoted) to another role. Special circumstances related to mount filters and HSM usage may limit swapping of roles, but those are based on specific organization configurations.

Using replication with Vault clusters integrated with HSM devices for automated unseal operations has some details that should be understood during the planning phase.

  • If a performance primary cluster utilizes an HSM, all other clusters within that replication set must use an HSM as well.
  • If a performance primary cluster does NOT utilize an HSM (uses Shamir secret sharing method), the clusters within that replication set can be mixed, such that some may use an HSM, others may use Shamir.

For sake of this discussion, the cloud auto-unseal feature is treated as an HSM.

» Additional References

» Next steps

Read Production Hardening to learn best practices for a production hardening deployment of Vault.