Ceph for genomics and life sciences data

Why sequencing data outgrows shared storage and what Ceph changes for genomics teams

Sequencing output usually grows faster than a shared file server can serve it. Each run adds raw reads, aligned files, variant calls and intermediate files that analysis pipelines reread many times, while collaborators outside the institution need copies or controlled access to the same datasets. A single NFS export that once served a lab becomes a bottleneck for compute nodes and a weak point for sharing at the same time. Ceph lets a genomics team separate those two jobs across protocols on one cluster, so the choice of interface matters as much as raw capacity when you size the system.

Ceph separates the workload by access pattern. The Ceph Object Gateway (RGW) exposes S3-compatible buckets, which suit datasets that are written once, versioned, shared with named collaborators and fetched by tools that speak S3. CephFS provides a POSIX file system for analysis pipelines, workflow managers and shared reference genomes that expect ordinary paths and file locking. Both protocols draw on the same underlying RADOS storage, but they carry different metadata loads, client configurations and access controls. Your design therefore starts with a list of which pipelines read through a file path, which collaborators pull objects, and which datasets must stay inside a restricted namespace. This page covers the requirements, configuration, compliance considerations and rollout for a self-operated Ceph cluster in your own data center or cloud accounts. It addresses the decisions that depend on the data: how RGW accounts and bucket policies control sharing, how CephFS is sized for many small files, how capacity grows without disrupting running pipelines, and which controls your research data governance and privacy obligations will need. Confirm your current release and support window on the Ceph active releases page before you commit to a design.

Which regulatory and security requirements shape a genomics Ceph build

This table maps the regulations most likely to apply to sequencing data onto specific build decisions for a Ceph cluster. Read each row against the data type you hold (clinical, research or regulated), because the applicable set depends on who creates, receives or controls the data. The main takeaway is that regulation sets the access, encryption, logging and contract requirements, while Ceph supplies the controls you configure to meet them.

Requirement	Source	What it means for the build
HIPAA technical safeguards for clinical genomic data	45 CFR 164.312; Appendix A to Subpart C (7 implementation specifications)	Unique user identification and an emergency access procedure are required. Automatic logoff and encryption are addressable, so document your decision for each. Map these to RGW user accounts, CephFS client authentication and encryption settings.
Business associate contract flow-down	45 CFR 164.314(a)(2)(i)	If a partner or vendor hosts genomic records containing ePHI, the contract must require Security Rule compliance, flow terms to subcontractors and require incident reporting. Confirm who operates the cluster and who holds administrative access before signing.
GDPR Article 32 security and access control	Regulation (EU) 2016/679, Article 32	Requires controls proportionate to risk, including pseudonymization, encryption and the ability to restore access. For EU participants, plan per-project access on RGW buckets and CephFS paths and keep encryption and backup keys under your control.
EU health data framework	Regulation (EU) 2025/327 (European Health Data Space)	Governs the use and sharing of electronic health data in the EU. Confirm with counsel which obligations apply to secondary research use before you design cross-border replication or external sharing endpoints.
NIS2 health sector scope	Directive (EU) 2022/2555, Annex I	Lists healthcare providers, EU reference laboratories and medicinal product research as sectors of high criticality. If your institution or sequencing service falls in scope, plan incident handling, backup and supply chain security into the cluster design.
21 CFR Part 11 for regulated electronic records	21 CFR Part 11	Applies to electronic records and signatures in FDA-regulated work, such as clinical trial genomics. Plan audit trails, controlled access and record retention in the storage and application layers, and confirm validation responsibilities with your quality team.
GLBA or FERPA for related records	16 CFR Part 314; 34 CFR Part 99	Applies only where a research institution holds related financial aid or student records alongside study data. Keep those records in separate pools or buckets with their own access rules, and confirm applicability with your compliance office.

Ceph modules and settings that matter for sequencing data

Sequencing data is shared across sites, projects and collaborators who should see only their own datasets. The Ceph features below decide how data is exposed, who can reach it and how traffic between nodes is protected. Confirm each setting against the Ceph release you plan to deploy before you design around it.

RGW multisite and bucket design

Multisite replication lets a Ceph Object Gateway zone group copy buckets between sites, which is the usual base for sharing sequencing archives across institutions or keeping a second copy at another location. Decide early how projects map to buckets and users, because bucket layout and naming are hard to change once collaborators depend on them. Ask for the multisite configuration steps and replication limits in your target release, and test failover with a realistic object count before go-live.

LDAP and Keystone authentication

The Object Gateway can authenticate users against LDAP or Keystone, so lab and institutional directories can drive access to buckets instead of local keys. This keeps offboarding tied to the directory of record. Confirm which authentication backends your release supports together, how group membership maps to RGW users, and how service accounts for pipelines are issued and rotated.

Multi-factor authentication for object access

The Object Gateway supports multi-factor authentication, which matters when people reach sensitive datasets from outside the lab network. Multi-factor authentication should cover interactive users, while automated pipelines use scoped credentials. Confirm how the feature interacts with your chosen identity backend and with S3 clients your collaborators already use, because some tools handle second factors poorly.

AWS STS and IAM APIs for scoped access

The STS, IAM and SNS APIs let you issue temporary credentials and attach policies that limit a collaborator to specific buckets or prefixes. This is the practical control for giving an external group read access to one cohort without exposing the wider archive. Confirm which policy actions and condition keys your release supports, and test each scoped role with the exact client tools your partners will run.

Open Policy Agent for access rules

Open Policy Agent integration lets the gateway evaluate access decisions against external policy written in Rego, rather than relying only on bucket policies. This suits rules such as consent status or project membership that change often. Plan who owns the policy repository, how changes are reviewed and tested, and what happens to requests when the policy service is unavailable. Confirm the supported integration points in your release.

Messenger v2 secure mode and Dashboard SSO

Messenger v2 runs on port 3300 and its secure mode encrypts all post-authentication traffic between daemons and clients with AES-GCM, with integrity checks. Enable it for traffic that carries genomic data inside the cluster and check that every client library in your pipelines supports it. For administrators, the Dashboard supports SAML 2.0, and OAuth2 when cephadm runs the Management Gateway and OAuth2 Proxy services. Confirm which option fits your identity provider.

Choosing media and access patterns for each stage of a sequencing dataset

Raw output from a sequencer arrives in bursts while a run is in progress. Files are written once, seldom reopened during the run, and then read by the first processing step. The interface depends on how the instrument or acquisition host writes data. CephFS fits when instrument software and first-pass processing nodes expect a POSIX path. RGW fits when the acquisition tooling uploads objects with S3-compatible calls. The Ceph hardware recommendations guide media and network choices for this stage.

Access pattern: large sequential writes during a run, followed by one or more reads by primary analysis.
Interface: CephFS when the instrument software needs a mounted path, or RGW when uploads run through an S3-capable tool. Confirm with the instrument vendor which mount and upload methods it supports.
Media: a dedicated drive per OSD, sized for peak run output. Bond network links across two switches so a single switch failure does not interrupt acquisition.
Metadata: if CephFS serves this stage, place metadata pools on enterprise-class SSDs, as the hardware recommendations advise.
Benchmark: replay the file sizes and write concurrency of a real run against a staging cluster, and measure sustained throughput over the full run length, not only the peak.

Check whether the acquisition host can keep writing while a storage node is replaced, because that answer determines how much local buffer the instrument site needs.

How a genomics Ceph rollout runs in phases

The sequence moves from agreeing on which sequencing data is stored, who may reach it and how access is recorded, to a tested cluster that research teams can use and operate without outside help. Each phase closes with a named deliverable and a decision the client signs off.

Scope data classes and the access model
Before any hardware is ordered, the team inventories the data that will live on the cluster: raw sequencer output, aligned reads, variant calls, reference genomes, and any records linked to participants. Each class gets an owner, a retention expectation and an access model covering which groups may read, write or share it, and whether any class carries consent or data use terms that restrict where it can go. DeployOpen runs this with your research computing, data governance and security leads. The deliverable is a data classification sheet and an access matrix. The client decides which classes are in scope for the first phase and who approves access rules.
Select the Ceph release and check support dates
The team chooses the release line against the Ceph releases page. Two lines are actively maintained at the time of writing: Squid (19.2.x, first released September 26, 2024, latest 19.2.7, estimated end of life October 31, 2026) and Tentacle (20.2.x, first released November 18, 2025, latest 20.2.4, estimated end of life June 1, 2027). Because the Squid end-of-life date falls soon, the client should confirm the chosen line still receives fixes through its planned go-live and into its operating window. The deliverable is a short release decision record with the version pinned and a patch cadence. The client decides which line to adopt and who owns patching.
Deploy the cluster with cephadm
Engineers bootstrap the cluster with cephadm, which runs Ceph daemons as containers, starting from one Monitor and one Manager and then adding hosts and services. Hardware follows the Ceph recommendations: a dedicated drive per OSD, WAL and DB moved to shared SSDs on HDD-based OSDs, enterprise SSDs for metadata, and bonded network links across two switches. Memory is sized for peak load and the hardware is benchmarked before purchase where possible. The deliverable is a healthy cluster with documented host inventory, network layout and service placement. The client decides on media mix and network topology, and confirms the sites where data may physically reside.
Configure RGW and CephFS for the pipelines
The Object Gateway is configured for sharing datasets through S3-compatible access, with users, buckets and policies mapped to the access matrix. CephFS is configured as the shared file system that analysis pipelines mount, with directory layouts and client credentials separated by project. Authentication back ends, such as LDAP or Keystone where your identity setup uses them, are wired in during this phase. The deliverable is a working object and file tier with a per-project access map. The client decides how external collaborators receive credentials and which projects share data across groups.
Migrate pilot datasets and verify integrity
A small, representative set of datasets is moved from its current location into the new tiers. The team checks checksums, file counts, object metadata and permissions against the source, and times a pipeline run from the new storage to see whether throughput meets the needs of the analysis team. Problems found here usually concern metadata-heavy directories or transfer tooling, so the pilot is sized to surface them. The deliverable is a migration report with integrity results and a list of open issues. The client decides which datasets proceed to full migration and what throughput is acceptable.
Validate access controls and audit logs
The team tests each access rule from the matrix with real user accounts, including denied cases, and confirms that revoked users lose access. Client-side authentication, the dashboard's single sign-on options and encryption in transit using the messenger v2 secure mode are checked against the design. Audit logs from RGW, CephFS and the dashboard are reviewed to confirm that reads, writes and permission changes are recorded with user identity and time. Where a regulation or a sponsor's data use agreement requires specific evidence, the team confirms with the data owner which records must be kept and for how long. The deliverable is a test record and an audit log sample. The client decides whether the controls meet its data governance and ethics requirements.
Hand over runbooks and operating routines
The team delivers runbooks for routine operation: health warnings, full OSDs, drive replacement, capacity additions, patching under the chosen release line, backup and restore of metadata and configuration, and access requests. Monitoring and alerting are handed to the operations team with the thresholds agreed in earlier phases. Staff run at least one drill of a drive failure and one access revocation under observation. The deliverable is a signed handover pack and a recorded drill. The client decides who on its team owns day-to-day operation and whether ongoing support is needed through a retainer.

Compliance evidence auditors ask for in sequencing and clinical data projects

Genomic and clinical datasets often fall under HIPAA, GDPR or institutional rules at the same time, and auditors test the same few questions in each. The cards below cover the controls they ask about and the records that show those controls work in your Ceph environment. DeployOpen prepares systems, controls and evidence for these reviews, but independent auditors issue any report or certification, and there is no HIPAA certification.

Encryption at rest and in transit

Auditors ask which datasets are encrypted, where keys live and whether data moving between clients, monitors and OSDs is protected. In Ceph, the messenger v2 secure mode encrypts post-authentication traffic with AES-GCM and adds integrity checks, so confirm it is enabled on every daemon and client path. For encryption at rest, record the layer you chose, who holds the keys and how key rotation is evidenced. The HIPAA encryption specifications are addressable, so document the reasoning if you decide an alternative applies.

Unique user identification

Every person who reads or writes sequencing data should be identifiable by a single account, with no shared logins for analysts or pipeline operators. Map each Ceph client key, RGW user and dashboard account to a named individual or a documented service identity. Auditors will ask how accounts are created, reviewed and removed. Keep a current list that connects Ceph identities to your directory records, and confirm the process with your compliance lead before the build starts.

Automatic logoff and session limits

Interactive sessions to the Ceph Dashboard, RGW admin tools and analysis workstations mounting CephFS should end after a defined idle period. The HIPAA automatic logoff specification is addressable, so your choice needs a written rationale and a setting you can show. Confirm which Ceph front ends enforce idle timeouts directly and which depend on your identity provider or host configuration. Test the timeout on each path and keep the test record.

Access control to pipelines and shares

Auditors test whether only people with a legitimate need can reach a given dataset, pipeline output or shared bucket. Design CephFS paths, RGW buckets and RBD pools around research projects, and grant access by group rather than by individual where possible. Keep a review record showing who approved each grant and when access was withdrawn. Multi-factor authentication is expected for remote access, so plan how it applies to any gateway that is exposed beyond your network.

Business associate terms for hosting

If a hosting provider, colocation partner or managed service handles electronic protected health information, a business associate contract must require that party to comply with the Security Rule. The same terms must flow down to any subcontractor that handles that data. Ask each provider for its signed terms before data moves, and check that Ceph operations access, including remote support sessions, falls under them. Your own counsel should confirm the wording.

Incident reporting duties

Your contracts and runbooks should set who reports a security incident, to whom and how quickly. A business associate must report security incidents, including breaches of unsecured PHI, to the covered entity. Define detection sources for Ceph, such as cluster health alerts, unexpected RGW access logs and failed authentication spikes, and map each to a reporting owner. Rehearse the path once with the people named in your contracts so the evidence shows a tested process.

Audit trail retention

FERPA-style and HIPAA-style reviews both expect records of who accessed what, kept for as long as the data is kept. Enable RGW access logging and CephFS and dashboard audit output, forward them to storage you control, and set a retention period that matches your data policy. Confirm that logs cannot be altered by the people they record. Ask your compliance lead for the retention period required for your dataset class before setting one.

Controlled access and audit evidence for sensitive research data

Design access for outside collaborators per project, not per person. Create one RGW account or tenant per project or data-use agreement, keep each project's buckets and CephFS subtrees separate, and grant collaborators only the paths and prefixes their agreement covers. Keep the identity source at your institution: use RGW's documented Keystone or LDAP authentication so that removing someone from the project directory removes their access, and require multi-factor authentication for anyone who reaches the storage from outside the network. The gap regulators have penalized in published cases is external access to a patient record system without VPN and multi-factor authentication, together with access rules that ignored who actually needed the data. A design that routes outside access through a VPN or bastion, enforces MFA at the identity provider, and limits each account to its project closes both parts of that gap. Confirm which MFA options your identity provider and your RGW release support before you commit to a design.

Limit exposure with short-lived credentials and scoped policies. RGW supports AWS STS and IAM-style APIs, so issue temporary session credentials for collaborators instead of long-lived access keys, and attach bucket policies that allow read-only access to specific prefixes. Set session lifetimes according to your data-use agreement and confirm the maximum duration your release enforces. Keep the Ceph messenger in secure mode so that data in transit between clients and the cluster is encrypted and integrity checked, and confirm which client mounts and SDKs in your pipeline support it. Pair these controls with a review cadence: revoke access when an agreement ends, and rotate any key that was ever shared outside the project.

Keep records of who accessed or downloaded which dataset and when. Enable RGW bucket logging or the audit and event features your release provides, forward logs to a store the data team cannot edit, and retain them for as long as your data-use agreement and institutional policy require. Sequencing data often leaves the cluster through pipelines, so record the service accounts and session identities that run them as well as human users. Test the trail before you need it: request a sample report for one project, check that it names the principal, object and timestamp, and confirm that log retention outlasts the data it describes. Ask your implementation partner to document these checks as evidence for your data governance and audit file.

What buyers ask before scoping a genomics Ceph implementation

What drives the cost of a genomics Ceph implementation?

The largest drivers are the usable capacity you need, the media mix, the network, and how much of the sharing and access model you build in from day one. Hardware is usually bought by you, while the design, build, testing and handover are the paid services. The Ceph hardware recommendations advise a dedicated drive per OSD, shared SSDs for WAL and DB on HDD-based OSDs, enterprise-class SSDs for metadata, and bonded network links across two switches, and each of these adds cost. Ask for a written quote that separates hardware sizing, deployment, integration with your identity and pipelines, testing, documentation and any recurring support, and that states what is one-time and what recurs.

How long does a pilot take?

A pilot length depends on the scope you agree in writing, the hardware you already have, and how quickly your team can provide access, data samples and sign-off. A useful pilot tests one representative workload, such as a sharing bucket for a dataset or a CephFS mount used by a pipeline, plus the controls you must prove. The Ceph hardware recommendations say to benchmark before buying because no two clusters are alike, so a pilot is often the place to measure throughput for your real sequencing file sizes. Ask the vendor for a timeline with named milestones, dependencies on your procurement and network teams, and the exit criteria that decide whether the pilot moves to production.

Can our research team run Ceph without outside help?

A research team can run Ceph in-house if it has storage engineering skills, Linux and networking experience, and time for monitoring, drive replacement and upgrades. Many groups underestimate the operational load, which covers health warnings, capacity growth and recovery after failures. cephadm manages a cluster as containers and is the deployment method for current releases, so the initial install is less work than it once was, but day-to-day operation still needs owners. Compare the internal option with a fixed-scope build plus a retainer for support and upgrades, and ask any partner to document what your staff will operate after handover.

What does the work need from our staff?

The work needs named people in several roles: a data owner who decides who may access which datasets, an identity administrator for single sign-on and group mapping, a network engineer for switches and bonded links, a platform owner for hosts and cephadm access, and a research computing lead who defines pipeline needs. Your team also provides access to hardware, test data, change windows and sign-off on acceptance tests. Ask for a responsibility matrix in the quote so each role and its hours are visible before work starts.

How does dataset sharing differ from pipeline storage?

Dataset sharing usually runs through the Ceph Object Gateway, which offers S3-compatible and Swift-compatible APIs, so collaborators and external tools can fetch objects with credentials you control. Analysis pipelines usually need a shared POSIX file system, which points toward CephFS, and they are sensitive to metadata performance when many small files are involved. The two patterns have different access models, backup needs and performance profiles, so they should be designed separately even when they share one cluster. Ask the vendor how each pattern maps to your tenants, buckets, quotas and file system paths.

Is Ceph open source, and is there a paid edition?

Ceph's source is licensed under LGPL-2.1 or LGPL-3, according to the COPYING file in the Ceph repository, and some bundled components use other licenses. The project itself does not offer a paid edition, so the software cost is zero, and the costs you pay are hardware, implementation services, support and internal staff time. Confirm the license of any bundled components and any third-party tools you add, such as an identity provider or a monitoring stack, before the quote is accepted.

What should we request in a written quote?

Ask for a quote that lists the scope in writing, including the Ceph release and cephadm deployment method, the capacity and media assumptions, the network design, the access model for sharing and pipelines, and the acceptance tests. It should name each deliverable, the testing and documentation provided, the handover steps, and what is excluded. Ask whether support, upgrades and testing are offered as a retainer and how they are priced. DeployOpen does not publish a price list, so a quote follows from the written scope.

How DeployOpen scopes and delivers a Ceph storage implementation for life sciences

DeployOpen plans, implements, hardens, documents and supports self-hosted open-source platforms inside the client's own infrastructure, including Ceph for sequencing data. Work starts with a written scope that sets out the storage tiers, access model and sharing workflows before any hardware is ordered or configured.

How we scope

Inventory sequencing sources, dataset sizes, growth expectations and the analysis pipelines that will mount or call the storage.
Define which data sits in RGW buckets for sharing, which lives on CephFS for pipelines, and which stays in restricted tiers.
Record the access model, consent constraints and retention rules so the written scope states what the cluster must enforce.

How we build

Design failure domains, media and network layout against the hardware recommendations, then benchmark candidate hardware before purchase.
Deploy with cephadm in your data center or cloud accounts, configuring RGW authentication, encryption in transit and dashboard single sign-on.
Test recovery, capacity expansion and access controls against the agreed scope, and record the results for your review.

How we hand over

Document the cluster layout, CRUSH rules, client authentication model and the sharing procedures your team will run.
Walk your operators through health checks, drive replacement, capacity additions and upgrade steps on your own cluster.
Deliver evidence of configured controls in a form your compliance team and external auditors can review, without implying any certification.

How we support

Ongoing support, upgrades and continuous testing are available as a retainer, scoped in writing separately from the build.
Plan upgrades between the actively maintained Ceph releases, confirming each target version and its end-of-life date before work starts.
Re-run access and recovery tests after changes to pipelines, users or sharing partners, and update the documentation to match.