Josh Siviour d52245001e feat: Ochre vector store (tenant pgvector, embeddings, ingestion, operator teardown) (#788)
* feat: add /v1/embeddings gateway adapter

* feat: Ochre vector store pgvector backend, KV index registry, orchestration

Adds handlers_ochrevector: the VectorBackend interface + pgx/v5 impl
with per-account schema/role isolation enforced via SET LOCAL ROLE +
search_path inside every transaction, the KV index registry
(CREATING/READY/DELETING/STALE), and the create/delete/list/reconcile
orchestration tying them together with crash-safe rollback and
re-entrant recovery of stuck records.

* feat: singleton appliance-ensure state machine for ochre vector store

Adds the encrypted control-plane credential store and re-entrant
Ensure state machine for the platform pgvector appliance (D2): a
fixed-key KV claim mirroring Registry.Reserve elects exactly one
winner to launch the appliance via an injected ApplianceLauncher,
losers wait or resume a stale crashed provision, and the master
password is generated once, stored only AES-256-GCM encrypted, and
decrypted solely inside Connect to build a pgxBackend.

* feat: Ochre vector store async ingestion (chunker, job store, worker)

Adds Stage 3: a deterministic recursive chunk splitter, a per-account
ingestion job-record store mirroring the index registry, the
transactional per-document replace on the backend, and the
IngestService worker that lists a predastore source, chunks and
embeds each object, and replaces its rows idempotently.

* feat: Ochre vector store similarity query and metadata filter grammar

Adds VectorBackend.Query (cosine kNN, k default/cap, iterative HNSW
scan under a filter) and a Bedrock-KB-shaped metadata Filter AST that
compiles to parameterized SQL over jsonb, closing off arbitrary SQL by
allowlisting jsonb keys and always binding values as params. Also
fixes RunJob reporting READY on a job that ingested nothing regardless
of failure cause, and stamps SourceSpec.Metadata onto ingested rows so
the new filters have data to match against.

* feat: Ochre vector store request/response API, VectorService, and CLI

Adds the daemon-facing VectorService interface (index CRUD, ingest,
describe job, query), its server implementation over the existing
registry/backend/embedder, a NATS-forwarding client, and the
`spx admin ochre vector` operator CLI. Query resolves and embeds
against each index's own pinned model; ingest stamps the same
model/dimension onto every source spec server-side. accountID is
always taken from the caller context, never the request payload.

Daemon subscription wiring and manifest registration are a later
change; this is pure request/response plumbing with no construction
into daemon.go or awsgw.go.

* feat: wire Ochre vector store VectorService into the daemon

Constructs the platform Postgres appliance and VectorService behind a new
OchreVector config section that defaults off, so existing daemons are
unaffected. Adds a real RDS-backed ApplianceLauncher that provisions the
appliance over rds.CreateDBInstance/DescribeDBInstances, registers the six
ochre.vector.* NATS subjects mirroring the bedrock endpoint service pattern,
and degrades to a disabled (nil) service on any boot-time appliance failure
rather than blocking daemon startup.

* fix: fix Ochre vector store boot ordering and self-register subjects

startOchreVector ran before subscribeAll, so its appliance launch fired
rds.CreateDBInstance/DescribeDBInstances requests with no responder yet
registered, timing out the launch on a first-enable boot. It also ran
synchronously, blocking daemon startup up to the appliance launch timeout.

Move it to a background goroutine started after subscribeAll returns, and
have it register its own ochre.vector.* subjects once the VectorService is
actually constructed, via a new registerNatsSubs helper shared with
subscribeAll's boot-time table. Guard d.natsSubscriptions with d.mu, since
this background registration can now race the shutdown path's
unsubscribe-all sweep.

* feat: bake pgvector into the shared rds-postgres image

* fix: reach the ochre appliance over a routed daemon port on its ENI IP

The daemon dialled the RDS appliance over rec.Endpoint, a vanity spx3.net
hostname the control-plane host can neither resolve nor route to, so a healthy
appliance was never reachable and the vector store disabled itself.

Resolve the appliance's customer-ENI private IP read-only via
ec2.DescribeNetworkInterfaces filtered on the spinifex:rds-db-instance tag, dial
that IP for the DSN instead of the hostname, and give the daemon its own routed
ENI in the appliance's subnet bound to an OVS host port so the IP is reachable.
Retry appliance startup with bounded backoff instead of hard-disabling on the
first transient.

* fix: install pgvector at bootstrap for the Ochre vector appliance

The daemon connects to the appliance as its NOSUPERUSER master, and the
image's pgvector is not a trusted extension, so CREATE EXTENSION vector
failed with permission denied. rds-init now installs it via the bootstrap
superuser, gated on the appliance's fixed master name so tenant instances
are unaffected.

* fix: grant the Ochre appliance master CREATE on its database

The daemon's EnsureAccount runs CREATE SCHEMA per account as the NOSUPERUSER
master, which does not own the postgres database, so bootstrap now grants it
CREATE on the database alongside the pgvector install. Both are gated to the
appliance master, so tenant instances are unaffected.

* fix: make the Ochre appliance's pgvector reachable under per-account isolation

The daemon connects as a NOSUPERUSER master and runs every account operation
under SET ROLE with a search_path pinned to the account schema. Two gaps blocked
that against a real non-superuser Postgres: the master could not SET ROLE into
the roles it creates, and the account role could not see the vector type.

Bootstrap now grants the appliance master createrole_self_grant and installs
pgvector into a read-only extensions schema granted to PUBLIC; the backend
carries that schema on each account search_path so the vector type resolves
without weakening per-account write isolation. All appliance-scoped.

* fix: prune stale VPC host port before installing the daemon appliance port

A replaced Ochre appliance is handed the same subnet IP, so a new daemon ENI
mints a fresh vhp- port at an address a superseded port still holds. The old
port survives at the OS/OVS layer even after its ENI record is wiped, so two
interfaces claim one address and the kernel can route to the dead one
(EHOSTUNREACH). installVPCHostPort now prunes any other vhp- port holding the
target address before installing.

* fix: gate VM restore's stale-socket kill on backing-store readiness

On daemon start, a live VM whose NBD sockets fail to dial was force-killed as an
orphan. While predastore/viperblock is still coming up after a restart those
sockets are transiently unreachable, so a healthy VM (the Ochre appliance was
the observed victim) was destroyed and its RDS record flipped to failed. The
kill now only fires when the backing store is confirmed up; otherwise the live
QEMU is kept and QMP reconnected. Genuine orphan reaping under a healthy store
is unchanged.

* fix: drive ochre ingest jobs from a daemon-side sweep scheduler

* feat: add operator teardown verb for the ochre platform appliance

Adds Appliance.Teardown to remove the singleton platform Postgres
appliance (RDS instance, host port, KV record), an admin-only NATS
subject and daemon handler to drive it, and `spx admin ochre appliance
teardown --confirm` to invoke it without exposing the action through
the tenant awsgw surface.

* fix: register ochre appliance teardown before Connect so it survives a broken appliance

* fix: purge ochre index and job metadata on appliance teardown

* test: mark ochre in-package test files for the external-test gate
2026-08-13 15:54:48 +10:00
2026-08-13 11:22:15 +10:00
2026-08-11 11:29:03 +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.

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What is Spinifex? · Platform · Deploy · AWS Compatibility · 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.

Most AWS alternatives wrap an API and call it a cloud. We rebuilt the engineering underneath: distributed object storage with erasure coding, block storage built to survive failure, and compute on bare metal. That depth is the reason your software runs unchanged, instead of rewritten.

It's built for teams that need:

  • The AWS tooling they 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

One AWS-compatible surface, three deployment shapes. Pick the one that matches your reality; the platform on top is the same.

Neocloud

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

On-premise

Bring your own hardware and host Spinifex in your own data centre. A real multi-node HA cluster integrated with your storage and networking, with full control of stack, data, and jurisdiction. A predictable bill, no egress surprises, an auditable open-source core.

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

Speak the AWS API surface, natively. The AWS SDKs, AWS CLI, and Terraform: everything you deploy on AWS deploys on Spinifex unchanged. 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 Q3 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.

Core Components

Spinifex (Compute Service – EC2 Alternative)

Spinifex is a minimal VM orchestration layer built on top of QEMU, exposing APIs similar to EC2. It manages lifecycle operations like start, stop, and terminate, using QEMU's QMP interface. Designed to be straightforward and scriptable, Spinifex lets you launch VMs using the AWS CLI, SDKs, or Terraform—without needing Kubernetes or heavyweight orchestrators. Keep in mind, you can also setup a Kubernetes environment using Spinifex with underlying instances.

  • EC2-like VM management on bare metal
  • Launches with cloud-init metadata support
  • Works with standard AWS tooling

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
  • Supports high performance WAL logs using local NVMe drives to reduce IO traffic to S3.
  • In memory read/write block cache for blazing performance.

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. Data is chunked and distributed across nodes using Reed-Solomon erasure coding, making it fault-tolerant and ideal for large-scale or low-bandwidth scenarios.

  • 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.

Key Features

  • AWS-compatible APIs. Use the AWS CLI, SDKs, and Terraform you already know. Repoint your endpoint and ship; nothing to rewrite.
  • Zero cloud dependency. Runs entirely on your hardware. No phone-home, no control plane, no external authority. Works fully offline.
  • Bare-metal compute. QEMU-based with direct hardware access. No hypervisor tax, no abstraction overhead.
  • Built-in storage. Block and object storage included: NVMe caching, Reed-Solomon erasure coding, and replication out of the box.
  • Edge-first architecture. Designed for disconnected, contested, and resource-constrained environments from day one.
  • Open core, no lock-in. AGPL-3.0 with a commercial option. Inspect it, modify it, deploy it. The platform is yours to keep.

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.

Component Repositories

Spinifex coordinates these independent components:

Each component can be developed independently. See component-specific documentation for focused development guides.

Spinifex UI

Spinifex ships with a built-in web console — an optional alternative to the AWS CLI, SDKs, and Terraform. If you're familiar with 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 view

The console is served by each node on port 3000 over TLS, and becomes available as soon as spinifex.target is up:

  • Same API, different surface. Every action in the UI is the same AWS SigV4 call the CLI makes — so RBAC, audit trails, and IAM policies apply uniformly.
  • Single sign-on against your AWS credentials. Log in with the access keys from ~/.aws/credentials on the node where Spinifex is installed — no separate user database.
  • Self-hosted, works offline. The UI is embedded in the Spinifex binary and served from the node itself. No external CDN, no analytics calls, no cloud dependency.

For the full walkthrough — first-time TLS certificate trust, login, and 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.

Real-World Experience:

  • Production AWS service development and operations
  • Large-scale infrastructure deployment and management
  • Edge computing and resource-constrained environments
  • Enterprise security and compliance requirements

AI-Assisted Development

While Spinifex is architected and implemented by experienced engineers, we leverage Claude Code (Anthropic's AI coding assistant) to accelerate certain development tasks. This approach combines human expertise with AI efficiency:

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

This hybrid approach ensures Spinifex benefits from both proven engineering expertise and modern development acceleration, while maintaining the quality and reliability standards required for production infrastructure.

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. 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.
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