Ben Duncan c6841ce1f0 feat(oci): separate using an instance principal from creating one (#1157)
* feat(oci): separate using an instance principal from creating one

The allocator needs OCI credentials at runtime, and a node with none forms,
passes every health check, then refuses every launch wanting a public address.
Instance principal is the credential route that puts no key material on a node,
but it needs a dynamic group and a policy, and those are tenancy-root resources
the compartment-scoped user the rest of the configuration runs as cannot create.

enable_instance_principal conflated the two, so the better credential route was
only reachable by a tenancy admin. instance_principal now takes off, adopt or
create: adopt selects the credential and creates nothing, because the matching
rule covers the whole compartment and so names no instance to reference.

setup-identity.sh owns the create case, with its own state. validate-topology.sh
destroys its state at the end of every run, so holding tenancy resources there
would let a teardown delete the tenancy's policy.

Also package install-node.sh and smoke-test.sh, so a cluster can be formed from
a curl | bash install with no checkout. smoke-test.sh is not optional: formation
scp's it from its own directory for the post-formation verification.

* feat(oci): take the credential handoff from an operator hook, and widen the workflow name

An API-key deployment needs a credential on each node, and nothing in this
repository can supply one: a key in user-data is readable from instance metadata
for the life of the instance, and this host runs other people's guests. A manual
install does not survive either, because a topology destroys itself on success.

So the harness calls an operator-owned executable after formation and before the
pool, the only window where a node has /etc/spinifex and has not started the
allocator. Instance principal needs no handoff, so the hook is skipped there.

The workflow is renamed for the vendors it will cover rather than the first one.
Nothing is orphaned in the Actions UI: it has never been on the default branch
and has never run, so there is no history attached to the old filename.

* docs(oci): the API-key path needs the config file, not just the PEM

oci_config_file names an ordinary OCI SDK config and nothing creates it, so a node
holding only the key forms and then fails every allocation with no stated cause.

* fix(ci): the runner context is not available in a job-level env block

A workflow referencing it there is rejected before any job starts, which is why
the rename produced a failed run attributed to the push. The reference had never
been validated: a dispatch-only workflow that is never dispatched is never parsed.

* fix(deps): bump containerd to v2.4.1 for GO-2026-6597

The image-pull DoS via crafted OCI index graph amplification is reachable from the ECS agent's containerd puller, so the vulnerability scan fails preflight on v2.4.0. A patch release with no API change.

* fix(e2e): probe guest public addresses from outside the cloud's own network

A VCN does not reflect its own public addresses back into itself, so a node asking for one gets nothing however well the datapath works. The workbook driver runs on the first node, so every assertion that curls or SSHes a guest's public address failed on OCI against a cluster that was serving those addresses correctly to the internet.

The driver now takes E2E_PUBLIC_PROXY, a SOCKS5 proxy used for public addresses only, and validate-topology.sh supplies one with a remote dynamic forward on the connection that launches the driver. Egress is then the host running the validation, which is outside the VCN and is where a customer sits. Unset leaves every other platform on a direct probe, which is already correct there.

Also adds --version TAG for a repeatable install, separates the workflow's auth choice from its external-pool choice so an API key can run with the allocator live, and captures allocator diagnostics before the teardown destroys them.

* ci: read the Go version from go.mod in the release workflows

Both pinned 1.27.0 by hand while every other workflow reads the file, so the toolchain they build with drifts from the one the module declares the day go.mod moves. release.yml was already inconsistent with itself: its second setup-go step reads spinifex/go.mod.

* feat: publish the OCI topology results as tables on the run page

A green tick on one job with 4,000 lines of log behind it is confidence for
whoever wrote the harness and nothing to anybody else. Someone assessing whether
Spinifex works on their cloud should be able to see that it formed and served
guests on a single VM, on three VMs and on bare metal without opening a log.

record now takes <gate> <status> [detail] and writes results.tsv beside the
human block, so a gate's status is a field the script sets rather than a regex
over prose that reads fine and matches wrong. record_workbooks turns the
driver's own go-test-shaped lines into workbooks.tsv, and runs on the failing
branch too: which four passed is most of what the fifth failing means.

e2e-oci.sh --summary-only renders both tables to stdout and to
GITHUB_STEP_SUMMARY, and the workflow calls it under always() before the sweep,
because the sweep destroys the state directories the tables are read from. A
skipped gate gets its own mark, and a topology that never ran says so: the one
way a results table can do real harm is a reader taking an absent row for a
passing one.

* docs(oci): cut the deploy-by-hand appendix, and validate the config for real

The appendix was 444 of 1014 lines restating an install the Terraform already
does, which made the document read as though deploying by hand were a normal
route. It is not: the configuration builds the VCN, the volumes and both VNICs
per node and renders the cloud-init, in the same order every time. What is
genuinely OCI-specific is four things, each of which already has a section, so
the replacement names those and sends everyone else to the single-node and
multi-node install guides.

Verify end to end told the reader to ping a guest's public address from the
host, which cannot work: a VCN does not route its own public addresses back into
itself. That is the finding this branch is built on and the document was
asserting the opposite. It now says where to probe from and why, and carries the
allocator's `resolved the external VNIC` check, which existed only in the cut
appendix and is the one line proving the credentials and compartment are right.

`spx config validate` is not a command -- spx has admin, get, service, top and
version -- so that line could only ever fail and its output and status were both
discarded. It is replaced by parsing the TOML, which is what was wanted: the
remap and the pool append are textual edits, and a broken result would otherwise
surface as every service failing to start with nothing saying why. The remap now
checks its own substitution count for the same reason, since re.sub with no
match rewrites the file unchanged and exits 0.

Publication of the run-page tables moves to one owner. GITHUB_STEP_SUMMARY is
per step, so appending from the run as well as the publish step would have put
two copies of every table on the run page.

* fix(oci): check the credential hook before building anything

The hook is a path from a CI variable, and whether it exists on the runner is
knowable before Terraform runs. Checked where it was used, a wrong path cost the
apply, the install and the formation first -- forty minutes and a bare-metal bill
to be told a file is missing. Nothing about the check depends on the apply, so it
moves to the top, where --dry-run reaches it too.

* fix(oci): the summary must say what was built and what was not tested

The first CI run headed its tables "Published release `latest channel`" over a
build of a feature branch, which is the one error in a results table that would
mislead a reader who trusted it. The header now states a tree build as a tree
build, and names how the allocator authenticated.

A run with no external pool says so in the header rather than leaving it to a
SKIPPED row further down. Public-address allocation is the claim a green table is
most likely to be read as making, and it is exactly the claim such a run cannot
support. Both flags are passed to the publish step too, so the summary rendered
after a failure describes the same run as the one that failed.

Raise the dev prerelease prune from five to twenty. A pinned dev tag is how an
external evaluator installs a specific build, and five is about a week of them --
short enough that the tag someone was handed stops resolving while they are still
using it.

* docs(oci): the workbook table is a snapshot, and the nightly is the current answer

It is dated against a build five releases of work ago, and the nightly now runs
the same workbooks on all three topologies and publishes its own table. Say which
one to read rather than letting a stale table be taken as current.

* ci: rename to e2e-cloudvendor.yml so the sidebar entry is registered from a valid file

A workflow's displayed name is captured when GitHub first registers it and is not
refreshed afterwards. Both OCI entries were registered from a run that could not
be parsed -- a job-level env block referencing runner.temp -- so both list as
their path, which reads as a missing name: key and is not one. The 2026-10-02 run
was green on all three topologies and the entry still read as a path, with
updated_at unchanged from the broken first run, so fixing the file is necessary
and not sufficient.

A new path is a new registration, and its first run reads a valid file. Dropping
-nightly is also more honest: there is no schedule: here, because GitHub
registers one only from the default branch, so a cron could never run dev and a
feature branch as separate nightlies.

* Revert "ci: rename to e2e-cloudvendor.yml so the sidebar entry is registered from a valid file"

The rename makes the workflow undispatchable. `gh workflow run` resolves a
filename against the default branch, and the raw dispatch endpoint returns 404
for a path GitHub has not registered -- checked twice, several minutes apart, so
it is not an indexing delay. The old name works only because it is already
registered, and an unrunnable workflow is a worse problem than a mislabelled one.

The sidebar label needs a fresh registration, which a rename cannot provide from
a feature branch. It corrects itself when the file reaches main, where GitHub
re-reads it; the alternative is deleting the dead registrations' runs, which is an
operator's call.

* fix(ci): never publish the credential hook's output as an artifact

The hook is the operator's own executable, and the one thing known about it is
that it handles a private key. Its stdout and stderr are captured to
credential-hook.log, which the artifact's *.log glob was collecting into a
downloadable archive with a fourteen-day retention.

Excluded rather than trusted to have been quiet. A hook that prints its key once
while someone is debugging it should not thereby publish it.

* fix(oci): the hairpin probe measured nothing on one node, and claimed too much

With a single host, HOSTS[0] and HOSTS[-1] are the same address, so the node
connected to itself -- which always succeeds. It reported "present" on vm-single
and bm for that reason and not as a measurement. It now needs two nodes and says
so otherwise.

The claim it carried was also wrong. "A VCN does not reflect its own public
addresses back into itself" was read off a workstation run whose
node_client_cidr_allow_list was narrowed to one office address, which makes a
node's own public address a non-permitted source: the refusal that follows is
identical to an absent hairpin. With the committed 0.0.0.0/0 default the probe
reports the hairpin present between two nodes, so the original reading was
confounded and is retracted.

None of this changes the remedy. A customer reaches a guest from outside the VCN,
which is where the proxy's egress is, and probing from there is correct whichever
of the two causes is in play -- 15 of 15 workbooks pass through it on all three
topologies. What changes is what the documentation may assert: the guide now names
both causes as indistinguishable rather than stating one as fact.

* docs(oci): a reader could not run the first command, because nothing told them to clone

The guide's first code block was `cd scripts/terraform/oci-spx`, into a directory
no step had obtained. It also never mentioned the SSH keypair the driver refuses to
start without, nor that the configuration is not on main or in v1.21.0 yet, so all
three had to be inferred from the deploy failing.

Restructured so the deploy comes first and reads as four steps and one command:
get the configuration, choose one node or three, write the inputs, run it. The
credential decision stays before step 4, because it changes an argument there and a
node without one forms, looks healthy, and then refuses every launch that wants a
public address. Everything else -- why OCI, sizing, the architecture, the IAM
policy, quotas, the oci CLI, what Terraform builds, every variable -- moves under
Reference, unchanged in substance.

Adds what a successful run prints, naming `allocator ready` as the line to look for:
every line above it appears on a node that cannot allocate, and that is the one
failure the run does not announce.

Also drops an empty verdict.txt committed from a local run. The directory the guide
now tells customers to work in should not ship one run's artifacts.
2026-10-04 09:04:55 -05:00
2026-09-30 11:48:27 +10:00
2026-09-28 16:27:01 +10:00
2026-09-08 08:58:28 +10:00

Spinifex: the open, AWS-compatible cloud you run yourself. EC2, EBS, S3, VPC, and IAM on your infrastructure, at the edge, or on a Neocloud.

Go License mulgadc.com docs.mulgadc.com

What is Spinifex? · Platform · Deploy · AWS Compatibility · Live Demo · Components · Architecture · Installation · Docs


Spinifex: the open, AWS-compatible cloud you run yourself

Spinifex, built by Mulga, recreates the AWS services your software already uses (EC2, EBS, S3, VPC, IAM) on infrastructure you control. Move workloads off the hyperscalers, run AI at a fraction of the cost, or take the cloud to the edge, without rewriting a line. The exact build you ship to AWS, Spinifex serves on your own hardware: same APIs, same Terraform, same SDKs.

What is Spinifex?

Spinifex is an open-source infrastructure platform that recreates the AWS service surface (EC2, EBS, S3, VPC, IAM) on bare-metal, edge, and on-premises environments. Run cloud-native software without a hyperscaler.

Built for teams that need:

  • The AWS tooling you already use (AWS CLI, SDKs, Terraform), with nothing to rewrite
  • Full control of the stack: your hardware, your network, your data, your keys
  • A cloud that keeps running offline, through disconnection, with no external control plane
  • An open core (AGPL-3.0), auditable and yours to keep, with no lock-in

You change where your software runs, not what it is.

The Platform

The Spinifex stack: your apps and AWS tooling on top, the Spinifex AWS-compatible service layer, running on standard Linux on CPU and GPU hardware, deployable to Neocloud, on-premise, or the edge.

From commodity hardware up to unmodified AWS tooling, every layer is replaceable and yours to own.

Three Ways To Deploy

The same AWS-compatible platform runs in three shapes. Pick the one that matches your hardware.

Neocloud

Lift and shift onto a partner Neocloud without rewriting workloads. GPU capacity (H100 / H200 / B200), cheaper, available now. Change an endpoint, keep the software.

On-premise

Host Spinifex on your own hardware in your own data centre. You get a multi-node HA cluster integrated with your storage and networking, so the stack, the data, and the jurisdiction stay yours.

Edge

Cloud where the cloud can't reach. Air-gapped sites, vehicles, vessels, factories, and clinics. Compute next to the data, running through disconnection, on hardware you own. The same AWS APIs your software already uses.

AWS Compatibility

Spinifex speaks the AWS API surface. The AWS SDKs, AWS CLI, and Terraform all work unchanged, whether you deploy at the edge, on-premise, or on a partner Neocloud.

Service What it is Status
EC2 Compute Available
EBS Block Storage Available
S3 Object Storage Available
VPC Networking Available
IAM Identity & Auth Available
ALB / NLB Load Balancers Available
EKS Kubernetes Available
ECR Container Registry Available
ECS Container Service Available
RDS Databases Available
Bedrock AI Deployment Q4 2026

Roadmap items ship under the same AWS API surface. Code written for AWS today keeps working the moment they land. Track what's shipped in the release notes.

Live Demo

Create a live sandbox in under a minute. The fastest way to experience the stack. Try Spinifex against one of your own workloads on infrastructure we run for you.

  • Live in under a minute. No card, no install.
  • Yours for 72 hours to test and experiment.
  • Real AWS-compatible endpoint, access keys and console.
  • EC2, EBS, S3, VPC, IAM, EKS and RDS, ready to call.
  • Point your existing AWS CLI or Terraform straight at it.

Sign up at https://mulgadc.com/signup

Core Components

Spinifex (Compute and Platform Services – EC2, EKS, ECS, RDS)

Spinifex is a minimal VM orchestration layer built on top of QEMU, exposing an EC2 compatible API. It manages lifecycle operations like start, stop, and terminate through QEMU's QMP interface. Designed to be straightforward and scriptable, Spinifex lets you launch VMs with the AWS CLI, SDKs, or Terraform, without Kubernetes or a heavyweight orchestrator.

The managed services build on that same instance layer. An EKS node group, an ECS container instance, and an RDS database are Spinifex VMs on your own hardware, each driven through its own AWS API.

  • EC2 – VM lifecycle on bare metal, cloud-init and IMDS metadata, key pairs, tags, spot instances, capacity reservations, and GPU passthrough
  • EKS – Managed Kubernetes on k3s, with HA control planes, managed node groups, cluster add-ons, an OIDC provider, and IAM access entries
  • ECS – Task and service scheduling across container instances, with awsvpc ENIs, capacity providers, rolling deployments, and GPU-aware placement
  • ECR – Private container registry backed by Predastore, with content-addressed blobs deduplicated per account and lifecycle policies
  • RDS – Managed PostgreSQL and MariaDB, with parameter groups, automated backups, and DNS endpoints served by Northstar
  • ALB / NLB – Layer 7 load balancing on HAProxy and layer 4 on nginx stream, with health checks and ACM-issued listener certificates
  • VPC and IAM – OVN-backed networking and security groups, with roles, policies, and SigV4 auth applied across every service

Viperblock (Block Storage – EBS Alternative)

Viperblock is a high-performance, WAL-backed block storage service that replicates volumes across multiple nodes. It's built for reliability and speed, with support for snapshots, recovery, and direct connection to QEMU instances using NBD or virtio-blk.

  • Fast, durable virtual disks
  • Replication for resilience
  • Exposed over NBD or embedded in VMs
  • High performance WAL logs on local NVMe drives, reducing IO traffic to S3
  • In-memory read/write block cache

Predastore (Object Storage – S3-Compatible)

Predastore is a fully S3-compatible object storage system. It supports the AWS S3 API, including Signature V4 authentication, multipart uploads, and Terraform provisioning. Predastore chunks data and distributes it across nodes using Reed-Solomon erasure coding, so it survives node loss and suits large-scale or low-bandwidth sites.

  • S3-compatible API and auth
  • Multipart uploads, streaming reads/writes
  • Data redundancy with Reed-Solomon encoding

Northstar (Authoritative DNS)

Northstar is a lightweight authoritative DNS server that handles both internal service discovery and public-facing DNS for a Spinifex cluster. Zones are human-readable TOML files, served from the local filesystem or synced from Predastore, keeping DNS configuration in the same object storage as the rest of your infrastructure.

  • Authoritative DNS over UDP, TCP, and DNS-over-TLS
  • Service discovery for cluster components via SRV records
  • Zone files stored locally or in S3-compatible storage

Architecture at a Glance

Spinifex message-driven architecture: standard AWS clients call the AWS Gateway over HTTPS with SigV4, which publishes to a NATS bus answered by stateless ec2/ebs/s3/vpc/iam daemons over local backends.

Every AWS API call is authenticated at the gateway, published to a NATS subject, and answered by whichever daemon claims it. Daemons are stateless: scale horizontally by starting more. No etcd, no Kubernetes, no external control plane. Just systemd units, a NATS cluster, and your hardware. Deep dive: docs/DESIGN.md.

Self-hosted Installation

Installation requires an Ubuntu 26.04 or Debian 13 system. See the detailed documentation at docs.mulgadc.com for installing Spinifex.

Bare Metal ISO

The recommended installation is a bootable x86 installer for bare-metal hardware.

curl -fLO https://iso.mulgadc.com/spinifex.iso

Follow the USB install guide to write the ISO to USB and install on your hardware.

Single Node Install

Prerequisite: Spinifex requires a Linux bridge configured on the host for VM networking. See the single-node install guide for setup details.

curl -fsSL https://install.mulgadc.com | bash

sudo /usr/local/share/spinifex/setup-ovn.sh --management

sudo spx admin init --node node1 --nodes 1

sudo systemctl start spinifex.target

export AWS_PROFILE=spinifex

aws ec2 describe-instance-types

Development Setup

For a complete development environment see the Source Install documentation.

Spinifex UI

Spinifex ships with a built-in web console, an optional alternative to the AWS CLI, SDKs, and Terraform. If you know the AWS Management Console, the Spinifex UI fills the same role: a browser-based view of your instances, volumes, buckets, VPCs, and IAM resources, without leaving your own network.

Spinifex web console dashboard

Each node serves the console on port 3000 over TLS, and it comes up with spinifex.target:

  • Same API, different surface. The UI issues the same AWS SigV4 calls the CLI does, so RBAC, audit trails, and IAM policies apply the same way.
  • Single sign-on against your AWS credentials. Log in with the access keys from ~/.aws/credentials on the node where Spinifex is installed. There is no separate user database.
  • Self-hosted, works offline. The Spinifex binary embeds the UI and each node serves it directly, with no external CDN or analytics calls.

For the full walkthrough, covering first-time TLS certificate trust, login, and a feature tour, see Launching the Web UI in the cluster setup guide.

Development Philosophy

Built by Engineers, For Engineers

Spinifex is developed by experienced infrastructure engineers with deep AWS expertise, including former AWS team members who understand the intricacies of building production-grade cloud services. Our team brings decades of combined experience from AWS, enterprise infrastructure, and edge computing environments.

AI-Assisted Development

Spinifex is architected and implemented by experienced engineers, with Claude Code accelerating certain development tasks. The split keeps the quality and reliability standards that production infrastructure demands:

How We Use Claude Code:

  • Code Generation: Boilerplate AWS API structures and handlers
  • Documentation: Comprehensive development guides and API documentation
  • Testing: Test case generation and validation scenarios
  • Refactoring: Large-scale code restructuring and optimization

What Remains Human-Driven:

  • Architecture Decisions: Core system design and scalability choices
  • Security Implementation: Authentication, encryption, and threat modeling
  • Performance Optimization: Real-world performance tuning and benchmarking
  • Production Operations: Deployment strategies and operational procedures

Trademarks

"AWS", "Amazon Web Services", and all related service names (EC2, EBS, S3, VPC, IAM, and others) are trademarks of Amazon.com, Inc. or its affiliates. Mulga Defense Corporation and Spinifex are independent and not affiliated with, endorsed by, or sponsored by Amazon.com, Inc. or Amazon Web Services, Inc. References to AWS services describe interoperability and compatibility only.

License

Spinifex is open source under the GNU Affero General Public License v3.0, with a commercial license available. You're free to use, modify, and deploy it anywhere you need reliable infrastructure without depending on centralized cloud platforms.

S
Description
Spinifex – Open source AWS-compatible platform for secure edge deployments. Run EC2, VPC, S3, and EBS-like services on bare metal with full control. Built for environments where running in the cloud isn’t an option. Whether you’re deploying to edge sites, private data-centers, or operating in low-connectivity or highly contested environments.
Readme AGPL-3.0 121 MiB
Languages
Go 85.7%
TypeScript 9.2%
Shell 4.6%
Python 0.2%
HCL 0.1%