Open-source alternative to Vault secrets sync: the short answer
Infisical's secret syncs, OpenBao paired with an external sync process, or a mix of the two can replace Vault's sync feature. The right choice depends on where your secrets must live and which cloud or CI platforms must receive them. If a renewal, a licensing change or a data residency requirement has made Vault's sync feature expensive or unavailable to you, the need to keep AWS, Azure, GCP, GitHub Actions and Vercel secret stores current does not go away. It only moves to a different component. Vault secrets sync to those destinations requires Vault Enterprise or HCP Vault Dedicated, according to HashiCorp's product packaging, and Vault Community does not provide it. Confirm the exact list of supported destinations and the sync direction against HashiCorp's current pricing and product documentation before you plan around any feature, because packaging can change.
Infisical's syncs push secrets from a project and environment to platforms such as GitHub, Vercel and AWS, and its README lists these as part of its secrets management scope. Check the current Infisical documentation for each destination you need, including GCP, Azure and GitHub Actions, and confirm how often a sync runs and what happens when a destination write fails. Infisical is MIT licensed outside its ee directories, so the sync feature itself is not gated by the enterprise license, but SSO and gateways are. OpenBao does not ship a sync engine in the sense Vault Enterprise does, so you would need an external process: a scheduled job or pipeline that reads secrets through the OpenBao API and writes them to each cloud store. That process becomes a component you build, test, secure and operate, with its own service account, audit trail and failure alerts.
Decide per destination rather than per platform. For each target, record which secrets it needs, who owns the write credentials, how fast a changed value must propagate and whether the destination must keep its own copy. Teams that keep most secrets in OpenBao and only a few cloud stores in sync often find that a small external job covers them. Teams with many destinations and a project dashboard for developers may prefer Infisical's syncs. A mix is common, and it is easier to run if each secret has one source of truth and the sync direction is never reversed.
Which Vault sync targets map to which open-source option
This table maps each Vault sync target to the open-source path that can fill it: Infisical's built-in syncs, or OpenBao paired with a sync job your team runs. Read each row together with the confirm column, because Azure, Google Cloud and some GitHub Actions details need checking before you commit. The main takeaway is that Infisical covers GitHub, Vercel and AWS directly, while OpenBao requires a sync job you build and operate for every destination.
| Sync target | Infisical secret sync | OpenBao with external sync job | What to confirm |
|---|---|---|---|
| Vault KV secrets (source) | KV v1 and v2 can be imported into Infisical; confirm whether ongoing sync from an external Vault is supported | Sync job reads KV paths through the API; map paths and versions again after migration | Path and version mapping, and how the job handles deleted or rotated secrets |
| AWS (Secrets Manager or Parameter Store) | Supported; AWS is among Infisical's listed sync destinations | External job writes to AWS using its own IAM role and API calls | Which AWS service the sync writes to, and whether updates overwrite or version secrets |
| Azure (Key Vault) | Not confirmed for this comparison; check the current sync list in Infisical | External job writes to Azure Key Vault through Azure APIs, built and run by your team | Whether Infisical has an Azure Key Vault sync in your version, and the service principal scope |
| Google Cloud (Secret Manager) | Not confirmed for this comparison; check the current sync list in Infisical | External job writes to Secret Manager through Google Cloud APIs, built and run by your team | Whether Infisical has a Secret Manager sync, and the service account permissions required |
| GitHub Actions (repository and environment secrets) | Supported; GitHub is among Infisical's listed sync destinations | Either an external job calls the GitHub secrets API or workflows fetch from OpenBao at run time | Which secret scopes Infisical writes to, and whether runners can reach your OpenBao endpoint |
| Vercel (project environment variables) | Supported; Vercel is among Infisical's listed sync destinations | External job pushes values to Vercel environment variables through its API | Environment mapping per project, and how removed secrets are handled |
| Built-in sync feature | Yes, with a project dashboard and sync configuration per environment | Confirm whether OpenBao offers a built-in sync; plan for an external job by default | Whether the sync feature needs an enterprise license in your deployment |
What Vault's sync feature does that a plain export does not
A sync keeps a destination store, such as AWS Secrets Manager, a GitHub Actions secret set or a Vercel project, updated whenever the source changes. A one-time export only gives you a snapshot that starts going stale the moment anyone rotates a credential. When you replace a sync with an external job, you take on two things the vendor feature handled for you: the job that writes to each destination, and the access controls and audit trail on that destination. The destination is now your system of record for who can read the value, so review its IAM policies, GitHub environment protections or Vercel team roles as part of the migration, not after it.
The risk runs in two directions. If the job fails or runs on a schedule that lags behind rotation, consumers keep using old values and outages follow. If the job is given a broad credential, such as an administrative role that can read every secret in the source, a compromise of the job becomes a compromise of everything it touches. Scope each job's source credential to the paths it needs, give each destination its own write identity, and alert on failed runs. Confirm the exact sync behavior and the sync credentials your chosen OpenBao or Infisical setup supports in its documentation before you design the job around it.
Destination cost and API design also shape the job. AWS Secrets Manager is priced per secret per month and per 10,000 API calls, so a job that reads every secret on every run multiplies both charges. The BatchGetSecretValue API returns up to 20 secrets per call, selected by name, ARN or filter, which reduces request count, but CloudTrail still records a GetSecretValue entry for each secret returned. Plan for that volume in your audit tooling, and only fetch secrets that changed or that the destination actually uses. Ask your provider or vendor to confirm current pricing in writing before sizing the job.
Three ways to keep cloud secret stores current
Vault Enterprise sync features are not an option for most teams moving off Vault, so the question is who copies secrets into AWS, Azure, GCP, GitHub Actions or Vercel and how that copy stays current. The three approaches below differ in where the source of truth sits, who runs the sync job, and what license terms apply to the sync tooling.
Infisical secret syncs
Infisical includes secret syncs to platforms such as GitHub, Vercel and AWS, so the project dashboard can push secrets to targets without a separate job. Infisical's repository is MIT licensed outside its ee directories, but its self-hosting documentation says enterprise features need an enterprise license, so confirm that the sync you need is not gated behind one. Confirm that each target platform is in Infisical's current sync catalog before you plan the migration, and test that a rotated value propagates and that removed secrets are handled as you expect.
OpenBao as source of truth
OpenBao stays the single source of truth, and a sync job that your team owns reads secrets through the API and writes them to AWS Secrets Manager, Azure, GCP, GitHub Actions or Vercel. This keeps the sync logic in code you can review, but your team carries the job's scheduling, retries, error alerting, credential handling and the permissions it needs on each target. Ask who on your side owns that job, how a failed write is detected, and how the sync identity is authenticated to OpenBao, for example through AppRole for servers as OpenBao recommends.
Hybrid: Infisical plus a pipeline
In a hybrid model, Infisical syncs the targets its catalog supports, and a pipeline you operate handles the rest, such as a cloud store or platform that is missing from the catalog. This suits a team that wants fewer custom jobs but cannot accept gaps in coverage. The risk is two sync paths writing to the same destination, so assign each target to exactly one owner and document it, otherwise a secret can be overwritten by the wrong system.
Target permissions and audit trails
Every sync writes to a destination with its own access model, so the sync identity needs write rights only to the stores it feeds. AWS Secrets Manager's BatchGetSecretValue retrieves up to 20 secrets per call and logs a CloudTrail GetSecretValue entry for each secret, which is a useful reference for how your own sync reads should be audited. Check whether each target keeps its own access log, and confirm that the sync identity cannot read secrets it does not need to deliver.
Cost of ownership and quotes
The cost of Infisical syncs is the subscription or enterprise license your features require, plus the staff time to configure and monitor them. The cost of an external sync job is mostly engineering and operations time, recurring as targets change, and it grows with the number of secrets, environments and target platforms. When requesting a quote from any vendor or from DeployOpen, ask for the features that gate syncs, support terms, and the expected effort to maintain each target over time, since none of these figures are published here.
Which option fits each sync target
Infisical lists AWS among the platforms its secret syncs cover, so an AWS target is the most direct case for an Infisical sync. On OpenBao there is no built-in sync, so the team writes a job that reads each secret through the OpenBao API and writes it to the AWS store. The job's write permissions come from an IAM role, ideally one scoped to a single secret prefix and assumed through a workload identity rather than a long-lived access key.
- Supported path: Infisical's README names AWS among its sync targets. Confirm which AWS service each sync writes to and how it handles deletions and renames.
- Build on OpenBao: a scheduled job or controller that authenticates with AppRole or Kubernetes auth, reads the KV paths, and calls the AWS write API for each target secret.
- IAM scope: grant the job a role limited to specific secret ARNs or name prefixes, and a separate role for reads on the OpenBao side.
- Audit trail: AWS CloudTrail records each write the job makes, and OpenBao's audit devices record each read, so both sides should be reviewed together.
- Confirm first: whether Infisical's AWS sync matches your target service and naming, and what your AWS account policies allow for cross-account writes.
Check that the job's failure handling leaves existing AWS values in place when OpenBao is unreachable.
The supplied facts do not confirm a native Azure sync in Infisical, so this tab does not assume one. Treat Azure as a target to verify with Infisical directly before planning around it. If Infisical does not sync to Azure, the team builds the same kind of job as for AWS, using Microsoft Entra ID credentials for the write side.
- Infisical support: not confirmed in the supplied sources. Ask Infisical whether an Azure target is available and which Azure resource it writes to.
- Build on OpenBao: a job that reads secrets from OpenBao and writes them to the Azure store, authenticating with a managed identity or a service principal.
- Identity scope: grant the identity write access only to the required vault or secret scope, using Azure role assignments rather than broad subscription roles.
- Versioning: confirm how Azure keeps prior versions after an overwrite, since the job's update pattern affects rollback.
- Confirm first: whether any Azure target is native in the sync product you pick, and whether your Azure policies permit the identity the job needs.
If you use Azure Key Vault today, the sibling pages on that service cover the wider replacement question.
The supplied facts do not confirm a native Google Cloud sync in Infisical. As with Azure, plan on the assumption that the team builds the sync until a vendor confirmation says otherwise. The job reads from OpenBao and writes to Google Cloud Secret Manager using a service account that holds only the required secret roles.
- Infisical support: not confirmed in the supplied sources. Ask whether a Google Cloud target exists and which project and secret naming it uses.
- Build on OpenBao: a job, often running on the same cluster as the workloads, that authenticates to OpenBao with Kubernetes or JWT/OIDC auth and writes new secret versions to Google Cloud.
- Service account scope: bind the service account to specific secrets with IAM conditions where possible, and avoid project-wide secret administration roles.
- Version handling: decide how old versions are disabled or destroyed after a successful write, since each version is kept until your policy removes it.
- Confirm first: whether a Google Cloud target is supported natively, and the service account and workload identity pattern your organization permits.
Record which service account wrote which secret so that the access log maps back to the job.
Infisical lists GitHub among the platforms its secret syncs cover, so a GitHub Actions target is a supported path in the supplied sources. On OpenBao, the team writes a job that reads secrets through the API and updates GitHub repository or environment secrets. The write uses a GitHub App or a fine-grained token with the narrowest repository access that the job needs.
- Supported path: Infisical's README names GitHub as a sync target. Confirm which scopes (repository, environment or organization) the sync writes to.
- Build on OpenBao: a scheduled workflow or controller that reads KV values and writes them with the GitHub secrets API, using a GitHub App installation token.
- Token scope: prefer a GitHub App over a personal access token, and limit it to the repositories that consume each secret.
- Workflow exposure: GitHub masks secret values in logs, but any workflow that echoes a value can leak it, so review workflows that read the synced secrets.
- Confirm first: which GitHub scopes the Infisical sync writes, and how it handles removed secrets in the target.
Avoid giving the sync job permission to read repository secrets, since GitHub only needs it to write them.
Infisical also lists Vercel among its sync targets, so the Vercel path is supported in the supplied sources. With OpenBao, the team builds an equivalent job that reads from OpenBao and writes environment variables to Vercel projects through Vercel's API, using an access token limited to the projects that need the values.
- Supported path: Infisical's README names Vercel as a sync target. Confirm which Vercel environments (production, preview or development) each sync fills.
- Build on OpenBao: a job that maps OpenBao paths to Vercel project environment variables, marks sensitive values where Vercel supports it, and triggers a redeploy when required.
- Token scope: issue the Vercel token to a team account, and rotate it through the same process as other OpenBao-managed credentials.
- Preview exposure: check whether preview deployments receive production secrets, since that setting belongs to your mapping.
- Confirm first: how Infisical maps environments and whether it redeploys projects after a change.
Document the mapping table, because it becomes the reference for any future change in environment names.
Moving sync jobs off Vault Enterprise in order
This sequence moves each Vault-driven sync to a cloud-native store or CI target without a gap in secret delivery, and ends with the Vault sync configuration and its credentials revoked. Each step closes with a check you can record for your change file.
Inventory every sync and its target
Platform engineering lists each active Vault sync job, the secret paths it reads, the destination (AWS, Azure, GCP, GitHub Actions or Vercel), the destination name or ARN, the owning team and the consumers that read from that destination. Include syncs created by hand in the Vault UI or API, not only those in your infrastructure code, because these are the ones most often missed. Ask your Vault administrator to export the sync configuration from Vault Enterprise, since this is the only complete record. The step is done when every sync has a row in a shared inventory signed off by the owning teams.
Map Vault paths and policies to the new source
For each inventory row, decide where the source of truth will live: OpenBao, self-hosted Infisical, or a standalone secret store that the sync process reads from. Map each Vault path to its new location and each Vault policy to an equivalent OpenBao policy or Infisical role, then record which Vault capabilities have no direct match. Note which machine identities need access and how they will authenticate, such as AppRole for servers or Kubernetes auth. The step is done when a mapping document lists every path, its new location, its access rule and any gap that needs a decision.
Set up the new secret store
Install and harden the new store inside your own infrastructure, using the Helm chart for OpenBao on Kubernetes or your chosen Infisical deployment. Configure storage, high availability and the seal method your security policy requires, then import or write the mapped secrets. Confirm that the OpenBao migration guide applies to your cluster: it documents an in-place upgrade from Vault Community 1.14.1 on Raft storage with Shamir unseal, while Enterprise clusters need separate planning for licensed features and data movement. The step is done when the store passes health checks, access policies are tested with each machine identity, and a backup restore has been rehearsed.
Run old and new syncs in parallel
Create the new sync jobs alongside the existing Vault syncs, pointing at the same destinations under temporary names or in staging targets where your provider allows it. Let both run for a full review period that your change board sets. Do not expect the new syncs to write to live destinations until the comparison step passes. The step is done when both paths are running and the job logs show no authentication or permission errors for any mapped path.
Compare destination values
For each destination, read the values written by the Vault sync and the values written by the new sync, then compare them key by key without printing secret contents into tickets or chat. Use hashes or a comparison script run by the platform team, and record mismatches, missing keys, stale values and differences in formatting such as trailing whitespace or binary encoding. Fix the source mapping and rerun until the comparison is clean. The step is done when a signed comparison report shows zero unexplained differences for each destination.
Cut over target by target
Move one destination at a time to the new sync as its only writer, starting with the lowest-risk target, and disable the Vault sync for that destination only after the new job has written and the consuming workloads have read the expected values. Keep a rollback path that re-enables the Vault sync until the consuming team confirms the workload is healthy. Repeat for each target in the inventory order. The step is done when every destination has exactly one active writer and the cutover log names the owner who approved each switch.
Revoke the Vault sync configuration and credentials
After the last cutover, delete the Vault sync configurations and revoke the tokens, AppRoles or cloud credentials that Vault used to write to each destination. Check that no Vault-side sync remains enabled and that the destination audit logs show writes only from the new identities. Remove the Vault policies that existed only for syncs, and record the revocation in the change log. The step is done when a final audit query returns no writes from the retired Vault identities and the inventory marks every sync as migrated.
Close out with a recorded review
Hold a review with the owning teams to confirm secret rotation, failure alerting and access reviews now run against the new stores, and to file any gaps that remain for later work. Keep the inventory, mapping document, comparison reports and cutover log together as evidence for your auditors, who will judge whether the controls work. DeployOpen can prepare these records as part of a fixed-scope engagement, but independent auditors and certification bodies issue any assessment outcome. The step is done when the evidence set is stored in your records system and the open items have owners and dates.
What the cost of replacing Vault sync actually includes
The subscription you remove is the cheapest line to misjudge, so start there and then price everything that replaces it. Vault secrets sync to AWS, Azure, GCP, GitHub Actions or Vercel sits in Vault Enterprise or HCP Vault Dedicated, and HashiCorp prices both by quote only, so the figure you can compare is the one in your own written quote. Ask the vendor to state which sync destinations and which support tier are included, and to confirm whether the price changes if you move to a self-managed Enterprise cluster instead. Your replacement costs then fall into four groups: infrastructure for Infisical or OpenBao, the build of sync jobs, staff time, and the charges of each destination store. Those groups do not behave the same way, so budget them separately.
Infrastructure and staff recur, and the destination stores charge on their own meter. For AWS Secrets Manager, the published model is per secret per month plus per 10,000 API calls, with no upfront costs or long-term contracts (AWS Secrets Manager pricing page). Every sync job that pushes a secret into that store creates write and read traffic, and every workload that reads it adds calls, so the number of secrets and the refresh interval drive the bill. Batching reads through the BatchGetSecretValue API, which accepts up to 20 secrets per call, lowers the call count, but it also writes one CloudTrail GetSecretValue entry per secret, so plan log volume alongside request charges. Confirm current rates in your region and account before you commit to a design.
One-time work includes building the sync jobs, mapping secret paths and environments, and migrating secrets out of Vault. Recurring work includes operating the sync pipeline, rotating credentials, monitoring failed syncs, and patching the platform. For OpenBao, that means tracking releases such as v2.7.1, which was published on October 1, 2026 with security fixes, and planning maintenance windows for each upgrade. For Infisical, track its releases, such as v0.166.8 published on October 15, 2026, and confirm which features in your deployment need an enterprise license, since its self-hosting documentation says SSO and gateways require one. When you request a quote from DeployOpen or any other implementer, ask for the fixed scope, the list of sync destinations, the hosting and backup assumptions, the upgrade and support terms, and a separate line for each destination store you will keep paying for.
Questions teams ask before replacing Vault sync
Do Infisical secret syncs cover every target we push Vault secrets to?
Not necessarily. Infisical's documented syncs include GitHub, Vercel and AWS, so those targets are the starting point. Check each destination you use today, including GCP, Azure, GitHub Actions and any Kubernetes or CI targets, against the current Infisical integration list before committing. Also confirm how each sync handles deletions, naming, and secret versions, because those behaviors differ between targets. Where a target is missing, the sync job you write yourself becomes part of the scope and needs an owner.
Can OpenBao sync secrets to cloud stores without an Enterprise license?
OpenBao is an MPL 2.0 licensed fork, so you can run it without a commercial license. The sync itself is not a built-in feature in the sources we reviewed, so you should plan for an external process: a scheduled job or small service that reads secrets from OpenBao through its API and writes them to AWS Secrets Manager, Azure, GCP, GitHub Actions or Vercel. Confirm that the OpenBao release you select exposes the read paths and auth method your job needs, and confirm each target's write API limits and permissions in its own documentation.
How long does a migration of Vault sync take, and what drives that time?
The duration depends on the scope, so no fixed figure applies. The main drivers are the number of sync destinations, the number of secrets and projects, how many consumers read each secret, and whether the target stores support the same naming and structure. Teams usually spend the most time on inventory, mapping which Vault paths feed which targets, and on cutover planning. Ask any implementation partner for a written scope with phases and dependencies, and check that it covers a rollback path for each target.
What do our platform and security teams have to provide?
Platform engineering provides the hosting for OpenBao or Infisical, the storage backend, network paths to each cloud account, and the pipelines or clusters that run sync jobs. Security provides the policy for which secret reaches which target, approval for credential scopes, and review of the audit trail. Both teams should agree on who owns each sync after go-live, who responds to failed syncs, and how emergency revocation works. Without named owners, syncs tend to drift from the source of truth.
Can our own engineers do this migration in-house?
Often yes, if the team already runs Vault or a similar secrets platform and has time for the work. The skills needed are secrets platform administration, cloud IAM, and CI or Kubernetes operations. The sources do not establish a staffing level, so estimate the effort from your own inventory of targets and consumers. A fixed-scope external engagement can be useful when the inventory is large or when internal teams cannot take the cutover risk alongside daily work. Any quote should follow a written scope that lists deliverables and timelines.
How should sync credentials be scoped so a leaked token has limited reach?
Give each sync job its own identity with access only to the secrets that target needs, and only for write operations to that destination. Prefer short-lived credentials from workload identity, such as OIDC or cloud-native auth, over long static keys. Infisical documents Kubernetes, AWS, GCP, Azure, OIDC and Universal Auth for machine identities, with RBAC and approval workflows. In OpenBao, AppRole is the documented choice for servers. Review each identity's policy on a schedule and test that revocation stops a sync.
What changes for audit logs when secrets move through a sync?
Audit records split across systems. The source platform records reads of the secret by your sync identity, and each cloud store records its own access events, such as AWS CloudTrail entries for each GetSecretValue call. Before cutover, confirm which system is the authoritative record for each secret, how long logs are retained in each place, and whether they reach your SIEM. Test that a single secret change can be traced end to end. Compliance teams should confirm the expected evidence with their auditor, since DeployOpen prepares evidence but does not issue audit opinions.
What should we ask for in a written scope before we start?
Ask for a complete inventory of sync destinations, the secrets and projects in scope, and the credentials each sync uses. Request the deliverables by phase, including the sync design, rollback steps for each target, monitoring and alerting for failed syncs, and handover documentation. Ask how the work covers testing in a non-production environment, and who signs off on cutover. Fixed scope and written deliverables make it possible to compare quotes on the same basis.
Where open-source sync replacements go wrong
The most common failure in a sync replacement is a destination that quietly stops matching its source. A sync job that pushes a secret to AWS, Azure, GCP, GitHub Actions or Vercel once will not notice when the value changes upstream or when a rotation happens on the target side, so the cloud copy keeps serving the old credential. Before you cut over, list every destination for each secret, record which system is the authoritative source, and test one full rotation end to end. Confirm with Infisical whether a sync pushes on every change or on a schedule, and confirm with your own runbook how a rotated OpenBao lease or static secret reaches each target. Stale destinations after rotation are the risk most teams only find during an incident.
Sync credentials are the second risk. The identity that writes to AWS Secrets Manager, Azure Key Vault or a GitHub environment often ends up with broad rights, because one shared service account is easier to configure than several. Give each sync target its own scoped identity, limited to the secret paths and actions that target needs, and use the machine authentication methods Infisical documents, such as Kubernetes, AWS, GCP, Azure, OIDC or Universal Auth, so credentials are short-lived where the platform supports it. The same discipline applies to OpenBao, where AppRole is the method the documentation recommends for servers. Review these identities at least as often as you review the secrets they carry.
Duplicated secrets are the third risk. Once a value exists in OpenBao, Infisical and a cloud secret store at the same time, every copy needs its own rotation, access review and deletion step, and an audit will ask which copy is live. Limit syncs to the destinations that truly need a copy, and record the owner and source of each synced secret in your inventory. Failures are the fourth. A sync job that errors silently leaves the destination stale without anyone noticing, so alert on failed syncs and on secrets older than their rotation window, and send those alerts to the team that owns the workload. Finally, check licensing before you design around a feature. Infisical's self-hosting documentation says that SSO and gateways require enterprise licensing, and its repository license applies only outside the ee directories, so confirm which controls your design depends on before you commit to them.
Running sync alongside the rest of the secrets estate
Most teams will not switch every secret at once. The sync layer has to run next to Vault Community, the teams using Infisical as a dashboard, and the AWS Secrets Manager or Azure Key Vault stores that already feed workloads. Each card below names one boundary to settle before the first secret moves.
Vault Community as the source of truth
While Vault Community stays in place, decide which system owns each secret path. If the sync job reads from Vault and writes to a cloud store, a value changed directly in the cloud console will be overwritten on the next run. Confirm which side is authoritative for each mount and document the direction of every sync. Check how your sync process authenticates to Vault, since the auth method and token lifetime determine when a job silently stops.
Infisical as the team dashboard
Infisical gives application teams a project and environment dashboard, secret versioning and syncs to GitHub, Vercel and AWS. The ownership question is who administers projects, who approves access and who is allowed to trigger or edit a sync. Decide whether Infisical is the system of record for team-owned secrets or a read-through view over Vault. Confirm which Infisical features you need that require an enterprise license, such as SSO, before rolling it out to all teams.
Existing AWS Secrets Manager stores
Workloads that already read from AWS Secrets Manager will keep doing so during transition. Map each secret that a sync will update, and check whether any consumer depends on the AWS-side version history or resource policy. AWS charges per secret per month and per 10,000 API calls, and BatchGetSecretValue can retrieve up to 20 secrets per call, which can reduce read volume if your readers are changed to use it. Keep CloudTrail coverage on both sides so that reads from the sync identity remain auditable.
Existing Azure Key Vault stores
Azure Key Vault may hold secrets for Azure-hosted services that cannot move on the same schedule as the rest. Identify which vaults the sync writes to, which managed identities or service principals have write access, and whether any secret is referenced by version rather than by name. Confirm how you will handle Azure's per-operation billing for the sync job's reads and writes, and who in your organization owns the Azure role assignments the sync depends on.
Identity for the sync job
Each sync path needs its own machine identity with the narrowest access it can use. Infisical supports Kubernetes, AWS, GCP, Azure, OIDC and Universal Auth, and OpenBao offers AppRole for servers and JWT/OIDC for workloads. Decide which identity provider will issue the sync credentials, how they rotate, and who can revoke them. Test a revocation during the pilot so you know how long a stale credential would keep writing to a cloud store.
Audit trail across three systems
During transition, a single secret may be read from Vault, written by a sync, and fetched by a workload from a cloud store. An investigation needs to trace all three hops. Decide which system logs each event, where those logs are retained, and who can read them. Confirm that the sync job logs writes with enough detail to match a cloud-side change back to a specific sync run, and assign an owner to review sync failures before a stale secret reaches production.
How DeployOpen scopes and delivers a sync replacement
DeployOpen plans, implements, integrates, hardens, documents and supports self-hosted open-source platforms inside your own cloud accounts, data centers or air-gapped networks. For a Vault secrets sync replacement, that means mapping each sync target and its consumers before choosing between Infisical's syncs and an external sync process.
How we scope
- Inventory every Vault sync target, including AWS, Azure, GCP, GitHub Actions and Vercel destinations and the workloads that read them.
- Record which secrets, paths and sync directions must move, and which ones should be retired or rotated.
- Agree scope, deliverables and timelines in writing before work starts, since most engagements are fixed-scope.
How we build
- Set up the chosen platform in your environment, whether Infisical self-hosted or OpenBao with an external sync job, using your own infrastructure.
- Configure machine identity authentication and access policies so each sync credential has only the permissions it needs.
- Test each sync end to end, confirming that destination stores update and that failed syncs produce alerts you can act on.
How we hand over
- Document the sync architecture, credential ownership, rotation steps and the runbook for re-running or rolling back a sync.
- Walk your platform and security teams through operations so they can run the sync without DeployOpen present.
- Provide evidence of configuration and test results that your internal or external auditors can review, without issuing any audit opinion.
How we support
- Ongoing support, upgrades and continuous testing are available as retainers after handover.
- Plan version upgrades of the sync platform and the target services, with rollback steps agreed in advance.
- Confirm with your own team which platform capabilities, licensing terms and enterprise features your environment requires before scope is signed.
