Bitnami alternative for production teams

The Bitnami Alternative for Production AI Workloads

Replace unsupported Bitnami images with hardened, versioned containers and Helm charts for production data and AI stacks. Deploy in your VPC, private registry, or air-gapped environment with SBOMs, signatures, and ongoing maintenance.

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Trusted by the industry leaders
Trusted by the best
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Bitnami Made Packaging Easy. Production Needs More Than Packaging.

Broadcom's Bitnami changes exposed a deeper supply-chain dependency: teams still need pinned versions, maintained images, Helm charts, private delivery, SBOMs, signatures, and a remediation path for real production environments.

The Cost Of Frozen Images In Production

Legacy repositories with no security patches are not an alternative, they are a countdown to the next critical CVE disclosure with no remediation path available.

The Cost Of Treating AI Workloads Like General-Purpose Apps

GPU scheduling, model artifact management, inference runtime configuration, and secret handling for model registries are operational demands that a generic container image swap was never designed to address.

The Cost Of Solving This Twice

Replacing your general-purpose images today and then separately solving AI infrastructure packaging next quarter means duplicated effort, duplicated risk, and two vendor relationships where one should suffice.

A Maintained Image and Helm Chart Layer for Production Workloads

Versioned, pinned images

Specific tags for every release. No more guessing what :latest just pulled into your cluster.

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Hardened Helm charts

Production-tested charts with security defaults, GPU-aware scheduling, and sane resource boundaries built in.

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Air-gapped delivery

Offline transfer bundles and internal mirror support. Your sensitive environments stay disconnected by design.

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AI runtime support

Validated deployment profiles for vLLM, TGI, and the models your team actually wants to run on your own infrastructure.

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SBOMs and signatures

Every image ships with a software bill of materials and cryptographic signatures. Compliance teams can breathe.

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Ongoing maintenance

Security patches, tested upgrades, and rollback paths. Not a frozen repo with a "legacy" label on it.

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Used Across Technology Teams

Platform engineers

Shakudo gives you versioned, tested, signed images and charts that you can pin with confidence and upgrade on your own schedule.

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ML and AI engineers

Shakudo provides validated runtime profiles so you can go from model selection to serving in an afternoon, even in air-gapped environments.

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Security and compliance leads

Shakudo ships SBOMs, image signatures, controlled release channels, and audit-ready documentation by default.

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Engineering leadership

Shakudo eliminates the ongoing maintenance burden so your team can focus on the work that differentiates your organization.

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Comparison table

Shakudo supports the full workload, not just the container artifact

Generic hardened image vendors can help with base image security. Shakudo adds Helm charts, production defaults, delivery patterns, and operational support for teams replacing Bitnami safely.

CapabilityBitnami legacy / publicGeneric hardened image vendorsShakudo
Version-pinned imagesPartialYesYes
Hardened imagesLimited / variesYesYes
SBOMs and signaturesLimited / variesYesYes
Helm chartsYesLimitedYes
Data / AI workload focusNoPartialYes
Private registry supportLimitedYesYes
Air-gapped deliveryLimitedSometimesYes
Kubernetes production defaultsPartialLimitedYes
Ongoing operational supportLimitedImage-focusedWorkload-focused

Trusted in the Environments Where It Matters Most

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Retail | largest food retailer in Canada

"Shakudo cut our AI tool deployment from 6-month procurement cycles to same-day delivery. Without that speed, we wouldn't meet production timelines."
Charu Pujari
Senior Vice President, AI & Engineering
@ Loblaw Digital
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real estate | $77.6 Billion AUM

"We chose Shakudo over alternatives because it gave us the flexibility to use the data stack components that fit our needs knowing that we can evolve the stack to keep up with the industry."
Neal Gilmore
Senior Vice President, Enterprise Data & Analytics
@ QuadReal Property Group
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Healthcare | #1 Software for Autism and IDD Care

"We use Shakudo to shorten development time and time to impact. The platform provides us with a value-added shortcut to get from Point A to Point Z much faster. It’s now weeks or months vs months and years."
Chris Sullens
CEO @ CentralReach
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Digital Analytics | 40% of worldwide internet users

"Almost overnight, Shakudo's product helped us move past many of those struggles so we could focus on solving business problems instead of scaling infrastructure."

Adam Dille
SVP of Product & Engineering @ Quantum Metric
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Energy | 275% growth in customer base

"Not very often I find slam dunk products like Shakudo!"

Mike Kirkup
Chief Technology Officer @ EnPowered
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climate Risk | processes 33+ billion data points

"With the help of the Shakudo platform, we were able to massively scale our production pipelines, while working collaboratively to meet our product goals."
Andrew Wiebe
Chief Science Officer @ RiskThinking.AI

Get a Bitnami migration review before the next image breaks

Send the Bitnami images and Helm charts you rely on. Shakudo will map replacements, deployment options, and the fastest validation path for your environment.

Frequently Asked Questions

Is this a fork of Bitnami charts?

No. Shakudo maintains its own image and chart catalog built from upstream sources. We follow similar packaging principles (versioned tags, security hardening, Helm-native delivery) but our charts are authored and tested independently, with particular depth in AI and data workloads.

Do you support all the applications Bitnami used to cover?

Our catalog focuses on AI runtimes (vLLM, TGI), core data infrastructure (PostgreSQL, Redis, Kafka, and others), and the supporting services most teams need around them. We are expanding based on direct customer demand, so if you need something specific, tell us and it will directly influence our roadmap.

How do the images and charts relate to the Shakudo platform?

The images, charts, validated profiles, and air-gapped delivery bundles are all part of the Shakudo platform. They are built, tested, and maintained as an integrated system, which is how we guarantee compatibility, security patching, and upgrade paths across your entire stack. This is not a public registry you pull from; it is a managed catalog that runs inside your infrastructure as part of a platform your team operates day to day. That integration is what makes the reliability guarantees possible in the first place.

What does air-gapped delivery actually look like?

We provide two modes. The first is an internal mirror setup where Shakudo images are synced to your private registry on a controlled schedule. The second is an offline transfer bundle: a signed, self-contained archive that can be carried across an air gap and loaded into a disconnected cluster. Both include verification tooling and are managed through the Shakudo platform.

What does support look like?

You get access to Shakudo's infrastructure engineering team for deployment planning, migration from your current setup, upgrade guidance, and security patch coordination. Response times and coverage depend on your support tier.

How does pricing work?

Shakudo is an enterprise platform priced based on the scope and scale of your deployment. It is not a per-image or per-pull model. The best way to get a clear answer for your situation is to talk to our team directly, and we will be straightforward about what the engagement looks like.

What if I just need a quick image replacement right now?

If your immediate need is swapping out broken Bitnami tags to get pods running again today, there are community and open source options that can help with that. Where Shakudo fits is when your team is ready to stop treating infrastructure packaging as a series of emergency patches and start running on a platform that handles the full lifecycle: versioning, hardening, delivery, updates, and support, especially for AI and data workloads where the operational complexity is highest. That might be the right conversation for today, or it might be the right conversation for next quarter. Either way we are happy to talk through it.