Open source project management for technology and SaaS companies

Engineering and product teams that want Jira-style sprints and issue tracking without per-seat SaaS terms can run OpenProject or Plane in their own cloud. This page covers importer coverage, Git and SSO edition requirements, and what teams gain and lose.

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Why open source project management for SaaS teams is a different decision

If your delivery data lives in Jira and customers or auditors now ask where it is stored, the short answer is that OpenProject fits best when you are migrating from Jira Data Center, and Plane fits best for teams that run work in fixed cycles. Which one applies depends on your Jira deployment type and on whether single sign-on is mandatory from day one. Engineering tracking is not generic project management. Teams plan in sprints or cycles, link issues to branches, pull requests and releases, and need release history to stay intact when they move. A tool that handles Gantt charts well can still fail on those points, so the evaluation should start from your engineering workflow rather than from a feature grid.

The first decision is the source system. Plane's Jira importer supports Jira Cloud as well as Jira Server and Data Center, and it is available on Plane Cloud and on all plans of the self-hosted Commercial Edition. The OpenProject Jira Migrator, by contrast, imports from Jira Data Center 10.x and 11.x, not Jira Cloud, and its documentation describes it as beta and suitable only for test setups. Before you pick a platform, confirm your exact Jira version, which issue types, workflows and custom fields you rely on, and how sprint and release data will map. Also confirm whether Git links and pull request references survive the import, since those are the first things engineers notice when they are missing.

Which requirements drive the build for a SaaS company

This table maps the compliance and contractual requirements most often raised by SaaS companies to what each one means for a self-hosted tracker build. Read each row for the access, audit, data location and exit questions it creates, then confirm the specifics with your auditor, counsel and implementation partner.

RequirementWhat it means for the tracker buildEvidence to prepare
SOC 2 security common criteria (CC1 to CC9)Every SOC 2 examination includes these criteria, so the tracker needs documented role-based access, logical access reviews and change management for its own configuration.Access review records, role matrix, change tickets for workflow and permission changes
SOC 2 Type 1 versus Type 2Type 1 tests whether controls are designed correctly at a point in time. Type 2 tests whether they operated over a period, so the tracker must keep consistent logs across the whole window.Control descriptions at a date, plus sampled evidence of operation across the observation period
ISO/IEC 27001:2022 Annex A 5.8 (information security in project management)Security requirements and risks should appear as work items in delivery, which means the tracker needs security-relevant work item types, templates and review steps.Project templates with security checkpoints, sample work packages showing risk and requirement linkage
GDPR Article 28(3) processor instructionsWhen customer or employee data appears in tickets, the company acting as processor must process only on documented instructions, so the build needs data minimization guidance and restricted attachment handling.Documented processing instructions, data processing agreement, rules for personal data in tickets
EU Data Act switching rights (Articles 23, 25 and 50)Providers of data processing services must let customers switch to another provider or to on-premises infrastructure, so the tracker should export work items, history and attachments in usable formats.Tested export of projects, comments, attachments and user mappings, documented exit runbook
Audit trail for tracker changesAssessors look for records of who changed permissions, workflows and data, so the build should centralize logs from the tracker, database and identity provider.Log retention settings, sample audit records for permission and workflow changes
Data location and hostingWhere the database, object storage and backups sit determines which jurisdictions and subprocessors appear in your system description, so hosting choices are a compliance decision.Architecture diagram with regions, backup locations and subprocessor list

OpenProject or Plane for engineering teams: which fits which team

OpenProject suits engineering organizations that plan work across Gantt timelines, work packages and agile boards and that run a Jira Data Center instance they need to leave. The Jira Migrator imports from Jira Data Center 10.x and 11.x, not Jira Cloud, and it is in beta, so the documentation advises using it only in test setups. Plan a dry run against a copy of your data before any production cutover. Single sign-on with SAML and OIDC is an Enterprise feature, so budget for a paid tier if identity federation is a requirement from day one.

  • Jira Data Center migration: Supported source versions are 10.x and 11.x. Jira Cloud projects need a different path, so confirm that before scoping.
  • Gantt and work packages: Work packages, Gantt charts and agile boards are available in the free Community edition.
  • Enterprise SSO: SAML and OIDC, along with CAS, Kerberos and Okta, sit in the Enterprise tiers, as does LDAP group synchronization.
  • Kubernetes with Helm: Helm charts support horizontal scaling, while Docker-based installation is the recommended single-node method.
  • PostgreSQL requirements: PostgreSQL 16 or later is officially supported, with the pg_trgm, btree_gist and unaccent extensions required.

Confirm current edition boundaries, importer status and supported Jira versions directly with OpenProject before you finalize the plan, because the importer is still in beta.

How Jira data and Git links move into a self-hosted tracker

A Jira import moves the core structure of your work, but it rarely moves everything engineers rely on day to day. Projects, issues, statuses, workflow transitions, comments and attachments are the usual baseline, and you should confirm each one in a test run. Custom fields, automation rules, dashboards and Jira-specific permission schemes typically need manual rebuilding, because each tracker models them differently. Build an inventory of every automation rule that assigns, transitions or notifies, then decide for each one whether it becomes a native workflow, a webhook or nothing at all.

Importer scope depends on which Jira you run. The Plane Jira importer documentation covers Jira Cloud as well as Jira Server and Data Center, and it is available on Plane Cloud and on all plans of the self-hosted Commercial Edition, so confirm whether a self-hosted Community install can use it before you plan around it. The OpenProject Jira Migrator, by contrast, imports from Jira Data Center 10.x and 11.x only, and it is in beta, with documentation advising use only in test setups. A Jira Cloud team should not assume the same path works in both tools. Ask each candidate for its supported Jira versions in writing and run a test import against a copy of a real project.

Git integration usually rests on three pieces: reference patterns in commit messages and branch names that link code to work items, pull request or merge request events that move items between states, and webhooks that carry those events into the tracker. Your decisions are the Git host, the integration method and the event set. Confirm for each candidate which hosts it supports, such as a self-hosted GitLab instance or a cloud host, whether it uses native connectors or generic webhooks, and whether it maps pull request status to workflow states. Test one repository end to end before cutover, including a merge that closes an item, because imported issue keys may differ from the keys developers already use in commits.

Deployment patterns for engineering tracking in your own cloud

Engineering tracking tools have the same hosting questions as any self-hosted platform: how many components run, where data lives, and how much capacity the team needs. The cards below cover the deployment patterns and sizing points that shape a Jira replacement on OpenProject or Plane, along with the operational work that follows from them.

Docker Compose for smaller teams

Docker Compose is the simplest self-hosted path for a single engineering group. Plane documents it for small and mid-size teams, and OpenProject recommends Docker-based installation. It keeps the stack on one host that a small platform team can rebuild. The trade-off is a single point of failure and limited horizontal scaling, so confirm with the vendor whether the team's user count and availability target fit this pattern before committing to it.

Kubernetes with Helm for high availability

Kubernetes with Helm is the pattern to choose when the tracker is a shared engineering service that cannot go down during sprints or releases. OpenProject supports Kubernetes with Helm charts for horizontal scaling, and Plane documents Helm for high availability. Ask who operates the cluster, how node upgrades are scheduled, and whether the platform team already runs the observability and secrets tooling the chart expects.

External managed PostgreSQL

Running the database outside the application chart lets the team use its existing backup, failover and patching process. OpenProject officially supports PostgreSQL 16 or later and requires the pg_trgm, btree_gist and unaccent extensions, so confirm the managed service allows them before provisioning. Plane's Helm chart can also point at an external managed database. Check point-in-time recovery, extension approval and who holds the database credentials.

S3-compatible object storage

Attachments, screenshots and exported files need object storage outside the application container. Plane uses S3-compatible storage such as MinIO, and the same pattern applies to OpenProject attachments. Decide whether the bucket is in the same region as the application, how versioning and lifecycle rules are set, and whether object storage is included in the backup scope. Object data and database snapshots must be restored together or links to attachments will break.

Redis or Valkey and RabbitMQ for Plane

A self-hosted Plane deployment adds Redis or Valkey for caching and RabbitMQ for messaging, on top of PostgreSQL and object storage. Each extra service is another component to patch, monitor and back up, and an outage in the queue can stall issue updates or Jira imports. Ask whether the team will run these services itself or use managed equivalents, and who gets paged when a queue backs up.

Sizing against user counts

OpenProject's sizing guide suggests 4 cores and 4 GB RAM for up to 200 users, 8 cores and 8 GB for about 500 users, and 16 cores and 16 GB for about 1,500 users. Engineering teams often have heavy concurrent use during sprint close and release days, so size for peak activity rather than headcount. Confirm the figures with the vendor and load test with realistic Jira import volumes before go-live.

Backups and upgrade windows

Backups and upgrades are where self-hosted trackers most often fail. Back up the database and object storage together and test a restore, not only the backup job. Plan upgrade windows around sprint boundaries and release freezes, and read release notes before each upgrade. Ask the implementation partner how rollback works, how long a restore takes at your data volume, and who signs off on a version change.

Rollout phases for replacing Jira without stopping delivery

The sequence moves Jira data and working habits onto the new platform one team at a time, with a written output at each phase so that delivery continues and every cutover can be checked.

  1. Inventory Jira projects, workflows and integrations

    The implementation partner and your Jira administrators list every project, issue type, workflow status, custom field, screen scheme, automation rule, Git and chat connection, and dashboard that teams depend on. Each item is tagged as migrate, rebuild, or retire, with an owner named by the engineering lead. The output is a written inventory list that both sides sign off, and the step is complete when no team has an unassigned item. Ask whether your Jira is Cloud or Data Center, because importer coverage differs between them.

  2. Record the edition and SSO decision

    Using the inventory, the team decides which edition is needed before any data moves. Single sign-on, directory group sync, API-enabled audit logs and hosting model all affect whether a Community, Commercial or Enterprise tier is required, and the cost of each tier recurs per user. The output is an edition decision record that names the chosen tier, the identity provider integration, the hosting location and the features that depend on paid licensing. Confirm current feature listings with the vendor before signing.

  3. Run a non-production import trial

    The partner runs the importer against a copy of selected Jira projects in a non-production environment, including one project with heavy attachments and one with complex workflows. Issue counts, comment counts, attachment counts and sizes, links between issues, and sprint or cycle assignments are reconciled against the source export. Known gaps are logged, such as fields the importer cannot map or limits on historical data. The output is a trial report with reconciliation results and a list of accepted losses that engineering leads approve.

  4. Build the permission and group mapping sheet

    Jira project roles, groups and permission schemes are mapped to the target platform's roles and groups, and each mapping is reviewed against the principle of least privilege. Contractors, service accounts and former employees are identified separately. Directory groups are matched to the identity provider so that access follows joiner and leaver events. The output is a mapping sheet signed by the engineering manager and the security owner, and the step is done when every role in the source has a documented target.

  5. Cut over the first team with a runbook

    One team moves first, chosen for its manageable project count and willingness to give feedback. The cutover runbook sets out the freeze window on Jira, the final incremental import, the validation checks from the trial, the switch of Git and chat links, rollback criteria, and the named person who decides on rollback. Sprint or cycle state is confirmed with the team lead before the team starts work in the new tool. The output is a completed runbook with recorded checks and a short list of issues resolved during cutover.

  6. Migrate remaining teams in waves

    Subsequent teams are grouped by shared dependencies, such as projects that link to each other or share components, so that cross-team links are not broken at the boundary. Each wave reuses the runbook and the mapping sheet, with changes recorded as versioned updates. Jira is set to read-only once a team has moved, and the team's old project is archived according to your retention policy. The output is a wave log that shows each team, its cutover date, reconciliation result and archive status.

  7. Audit access after the final cutover

    After the last wave, the partner and your security team review active accounts, role assignments, guest access and API tokens against the mapping sheet and the identity provider. Orphaned accounts are removed, and audit logging is confirmed to be enabled for the functions your compliance program needs. The output is a post-cutover access audit report with exceptions and owners, and the step closes when every exception has a recorded fix or accepted risk.

Evidence a SaaS auditor will ask for from the tracker

This table maps the evidence an auditor typically asks for from a self-hosted tracker to the component that produces it and the question to confirm with your platform team. Read it as a checklist for the tracker's place in your SOC 2 or ISO 27001 scope, and note that the auditor, not DeployOpen, decides whether the evidence is sufficient. The main takeaway is that audit logs, access exports and upgrade records must be planned before the audit window opens.

EvidenceWhat the auditor wants to seeWhere it comes from in the tracker
Access review exportsCurrent users, roles and group membership, reviewed on a set schedule with removals recordedSSO identity provider reports plus tracker user and group exports; confirm which export formats your edition offers
Authentication configurationEvidence that single sign-on and enforced login are configured and that local accounts are limitedSAML or OIDC settings; on Plane, SAML and OIDC start at the Pro plan, and LDAP is listed as Enterprise
Audit logsRecords of who changed projects, permissions and data, retained and reviewedNative audit logs; on Plane, API-enabled audit logs are listed as an Enterprise feature, so confirm before scoping
Role and permission configurationDocumented roles, project permissions and approval of changes to themAdmin settings and role exports, kept under change control with a named approver
Backup and restore test recordsProof that backups run and that a restore was tested into a separate environmentDatabase, object storage and attachment backup logs plus dated restore test reports
Patch and upgrade recordsDated record of tracker versions in production, with security releases applied in a defined windowDeployment history, change tickets and release notes for each upgrade, such as the Plane v1.4.2 release in August 2026
Vulnerability and hardening evidenceConfiguration baseline, scan results and remediation tracking for the tracker host and containersHardening checklist, scan reports and tickets, mapped to the tracker's place in the asset inventory
Data processing agreementsSigned terms with any vendor, hosting partner or support provider that can access tracker dataContracts with the hosting partner and vendor; confirm sub-processors and data locations in writing

Questions SaaS engineering leaders ask before replacing Jira

Can our team migrate from Jira to OpenProject or Plane without outside help?

Yes, a capable internal team can run a pilot, but the migration is easier to get wrong than it looks. Your team needs to map Jira issue types, workflows, custom fields, sprints and permissions to the target tool, then decide what history to carry over. The OpenProject Jira Migrator is still in beta and its documentation advises use only in test setups, so treat it as a rehearsal tool. Plane's Jira importer is available on Plane Cloud and on all plans of the self-hosted Commercial Edition. Whether you run it yourselves or with a partner, the scope should be written down before work starts, since most engagements are fixed-scope and agreed in writing.

What drives the cost of replacing Jira with open-source project management?

Four components drive cost: the edition, the number of paid seats, the migration scope and the hosting. OpenProject Community is free, while OpenProject Enterprise on-premises is priced per named user per month, with Basic at 5.95 euros and Professional at 10.95 euros (25-user minimum), Premium at 15.95 euros (100-user minimum) and Corporate on request. Plane's pricing page lists Pro at 6 to 8 US dollars and Business at 13 to 15 US dollars per user per month, with Enterprise Grid on request. Licenses recur monthly or yearly, while migration, SSO setup, hosting build and training are largely one-time. Ask any quote to separate these lines, and to state which edition each user needs.

How long does a Jira migration take for a software team?

The duration depends mainly on the volume of Jira data, how heavily the instance is customized and how many projects must move. A team with a few projects, standard workflows and little history can move quickly, while years of attachments, custom workflow schemes and cross-project dashboards add analysis and testing time. Plan for a pilot migration into a non-production instance, a review of mapped fields and workflows, then a cutover window agreed with active delivery teams. Ask any proposal for a timeline built from an inventory of your Jira instance, not from a generic template.

Does Jira Cloud data import cleanly into OpenProject?

Not reliably with the current OpenProject tooling, so confirm this with the vendor before you commit. The OpenProject Jira Migrator imports from Jira Data Center 10.x and 11.x, not from Jira Cloud. Plane's Jira importer supports Jira Cloud as well as Jira Server and Data Center, which makes it the more direct route for Cloud data. Whichever tool you choose, export a sample of projects, verify issue keys, attachments, comments, sprints and users in a test instance, and agree in writing which Jira data types will not transfer.

Does single sign-on require an Enterprise edition in these tools?

Usually yes, so check the edition before you plan identity integration. OpenProject lists single sign-on through SAML, OIDC, CAS, Kerberos and Okta, along with LDAP group synchronization, among its Enterprise features. On self-hosted Plane, SAML and OIDC are available on Pro and above, while LDAP support is listed as an Enterprise feature. Confirm which protocol your identity provider supports, whether group-based role mapping is needed, and whether the edition you buy includes it. Plan identity provider access for the implementation team, since SSO testing cannot be finished without it.

Is Git integration included with self-hosted project management tools?

Confirm Git integration for each tool and each edition, because the features vary and are not always documented in the same place. Engineering teams usually need links from branches, commits and pull requests back to work items, plus status updates when code merges. Check whether the version you select provides native connectors for your Git host, whether it needs webhooks or a custom integration, and who maintains that code after go-live. Ask the vendor to demonstrate the specific Git host you use, against the edition you plan to buy, before you finalize scope.

What does our team need to provide for a self-hosted project management rollout?

Your team needs to provide administrative accounts on Jira and on the target host, access to your identity provider, and a cloud account or data center where the platform will run. Expect to supply the Jira site or export, a named product owner for workflow decisions and a test group for user acceptance. Plane documents Docker Compose for small and mid-size teams and Kubernetes with Helm for high availability, and it uses PostgreSQL, Redis or Valkey, RabbitMQ and S3-compatible object storage. OpenProject supports PostgreSQL 16 or later. Ask the implementation partner to list these prerequisites in the written scope so nothing blocks the schedule.

Which project management tool fits a software team better, OpenProject or Plane?

The better fit depends on whether your team works mainly in agile cycles or needs traditional project and portfolio planning. Plane is built around issues, cycles and modules, and its Community Edition is licensed under AGPL-3.0. OpenProject is project and portfolio management software under GPL-3.0 with Gantt charts, agile boards and time tracking, and it is available on premises or in the cloud. Run a short trial with a real backlog from one team, check the importer and SSO route for your Jira version, and compare the edition you would actually buy.

What to ask an implementation partner before migrating Jira

Start with the importer, because the answer depends on which Jira you run. Plane's Jira importer is listed as available on Plane Cloud and on all plans of the self-hosted Commercial Edition, and it supports Jira Cloud as well as Jira Server and Data Center. The OpenProject Jira Migrator, by contrast, imports from Jira Data Center 10.x and 11.x, not Jira Cloud, and is in beta with documentation advising use only in test setups. Ask the partner to confirm in writing which importer it will use for your exact deployment type and version, what it will do with Jira Cloud data if the tool does not support it, and whether it will run a full trial migration into a non-production instance before any cutover date is set.

Ask how loss is measured and reported, not whether there will be loss. Request a field-by-field mapping that covers issue types, workflows and statuses, custom fields, sprints or cycles, attachments, comments, issue history, links between issues, and users, and ask for a written list of anything the importer cannot carry over. Confirm how the partner will reconcile counts of projects and issues between source and target, and who signs off the reconciliation report. On identity and Git, ask how SSO will be wired (SAML or OIDC on the chosen edition), whether directory group sync is in scope, and how commit and branch links to repositories will be configured and tested. Also ask about seat counting: on Plane's Commercial Edition, seats are counted by users with paid roles, and on OpenProject Enterprise, pricing is per named user with minimums, so the partner should show a seat model that matches your engineering and stakeholder headcount.

Finish with operations and exit. Ask how security patches and version upgrades will be applied, who tests them against your data first, and what the rollback path looks like. Ask for the data location in writing, covering where the database, object storage and backups sit, which sub-processors (if any) touch the data, and how the partner will document these points to support processor obligations under GDPR Article 28. For the EU Data Act, ask the partner to describe the export format and the steps to move projects to another provider or on-premises infrastructure, and to confirm whether the switching costs in the quote reflect Article 29 limits. Finally, ask what training is included for administrators, project leads and developers, whether it is delivered live or recorded, and whether it covers the Jira-to-new-tool workflow changes your teams will notice first.

Keeping an exit path open after the move

This sequence keeps the team able to leave the self-hosted tracker later with its data, history and attachments intact, so the platform choice stays reversible. It produces a documented export format, a tested export routine and a written exit plan that engineering and the platform owner both sign off.

  1. Confirm the switching rights in your contracts

    Legal and procurement review each contract or licence that touches the tracker, including any hosting or support agreement with an implementation partner. The Data Act (Regulation (EU) 2023/2854) requires data processing service providers to let customers switch to another provider or to on-premises infrastructure, and it caps the notice period and transition window, so confirm which of these terms apply to your supplier and which do not. Switching charges can be imposed until 12 January 2027, and the Data Act (Article 29) bars them from that date, so ask any vendor to state their charges in writing. Done means a short memo lists each applicable right, its source article and any open questions for the vendor.

  2. Map every data type the tracker holds

    The platform owner and a senior engineer list each object that carries business meaning: projects, work items or issues, cycles or sprints, comments, attachments, labels, custom fields, workflow states, users, time entries and audit records. For each one, note where it is stored (database, object storage or an external integration) and who owns it. Git links and chat references often live outside the tracker, so include them. Done means a data inventory exists with one row per object type and a named owner for each.

  3. Define the export format and its fields

    Choose the formats the team will treat as the exit standard, such as CSV for flat records, JSON for nested objects and an archive for attachments, and document the field names, relationships and encoding for each. Confirm with the vendor which export and API endpoints return full history, not only current state, and whether attachments are included or must be fetched separately. Done means a written export specification is approved by engineering and the platform owner, and it names the version of the tracker it was written against.

  4. Run a full export into a neutral store

    An administrator runs the export on a staging copy and writes the output to storage the tracker team does not control, such as an archive bucket with separate credentials. The run should cover every object type in the inventory, including closed projects and archived users. Record the duration, the item counts per object type and any errors returned. Done means the output is complete against the counts in the source, and the run log is stored with the export.

  5. Test that the export can be read elsewhere

    Someone who did not build the export opens the files in a separate environment, uses a script or a different tool to load them, and checks sample issues against the source for titles, status history, links between items and attachment integrity. Confirm that user identifiers map to a stable record so historical assignments remain readable after the team leaves. Done means the reader signs a short report listing each check, the result and any gaps that need a fix before the next run.

  6. Schedule recurring export tests

    Set a routine export and restore check that runs on a recurring basis, with the schedule agreed by the platform owner and recorded in the operations runbook. Each run repeats the export, compares counts and samples with the previous run, and flags changes caused by new custom fields or upgrades. Review the results after every platform upgrade, since a version change can alter export output. Done means the schedule, owner and alert destination are documented, and the most recent test result is visible to the platform team.

  7. Write and approve the exit plan

    The platform owner drafts a one-page exit plan that names the export specification, the location of the latest export, the people who run the exit, the contract terms from step one and the order in which teams would move. Include what happens to integrations with Git and chat, which need to be rebuilt elsewhere. Engineering leadership and the procurement lead approve it. Done means the signed plan is stored with the operations documents and is reviewed whenever the tracker, its edition or the hosting arrangement changes.

How DeployOpen scopes and runs a Jira replacement

DeployOpen plans, implements, integrates, hardens, backs up, upgrades, documents and supports self-hosted open-source platforms inside your own infrastructure, whether that is your cloud accounts, your data centers or an air-gapped network. For a Jira replacement, that means the project management platform, its database and object storage, the single sign-on wiring, the Git and chat connections, and the migration tooling all run where your engineering data already has an approved home. Most engagements are fixed-scope, so the scope, deliverables and timelines are agreed in writing before work starts. A useful first step is an inventory of Jira projects, workflows, custom fields, permission schemes and integrations, because that inventory determines which importer path is viable and which edition your SSO and audit requirements need. Confirm with the vendor which importer applies to your Jira deployment before anyone commits to a migration date.

The written scope should name each deliverable an engineering leader can check: the chosen edition and its license key handling, the sprint or cycle configuration, the Git integration design, the SSO setup, backup and restore testing, the upgrade procedure and the operator documentation. Ask the partner to state which of these are one-time work and which become a recurring retainer for ongoing support and upgrades. DeployOpen prepares systems, controls and evidence for compliance assessments, such as access reviews, change records and backup logs, but it does not issue audit reports, attestations or certifications. If you need a SOC 2 or ISO/IEC 27001 outcome, your independent auditor or accredited certification body makes that determination, so agree early which evidence they will request and who produces each item.

Plan for the risks that make Jira replacements fail: unvalidated migrations that surface only after cutover, edition gaps discovered during SSO testing, and an operations team that inherits the platform without runbooks. Ask for a migration rehearsal on a copy of production data, a written rollback plan, and a handover that covers upgrades, backups and incident response. Request a quote built directly from that written scope so that cost components, one-time versus recurring fees and the effort behind each deliverable are visible side by side. DeployOpen does not publish a price list, and the quote follows the agreed scope rather than a template.

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