Josh Siviour
4418913fa1
* feat(elbv2): SetSubnets — full add+remove LB subnet re-homing
Add the ELBv2 SetSubnets operation across the interface, NATS subject,
daemon handler/subscription, and gateway route/forwarder.
Re-homing is a full add+remove: subnets new to the LB get a fresh managed
ENI, dropped subnets have their ENI deleted, then the backing system VM is
relaunched on the new ENI set. The system-instance launcher exposes only
Launch/Terminate (no live ENI hotplug for system VMs), so applying new
subnets relaunches the LB VM — a brief data-plane interruption. The record
is mutated only after the new ENIs exist and the VM is relaunched.
Extract a shared launchLBVM helper from CreateLoadBalancer so create and
SetSubnets boot the LB VM identically. Idempotent on no-op; record-only
fallback when no VPC service is wired.
Completes the elbv2 mutation-API surface (SetSubnets was the last gap).
* feat(tagging): resourcegroupstaggingapi GetResources for controller discovery
Add the Resource Groups Tagging API as a new gateway service (SigV4 scope
\"tagging\", AWS JSON 1.1 / X-Amz-Target, mirroring ACM). GetResources is a
gateway-side aggregator over the existing elbv2 and ec2 tag stores — no new
NATS subject or daemon handler.
It lists the account's load balancers and target groups (attaching tags via
batched DescribeTags) plus EC2 resources from the tag store, then applies the
request's ResourceTypeFilters (service-wide or fully-qualified) and TagFilters
(AND across filters, OR within values). Results are ARN-sorted with opaque
offset pagination.
This is how aws-load-balancer-controller v2 discovers and adopts the elbv2
resources it manages (filtering on its cluster/stack tags); DescribeLoadBalancers
has no tag-filter field, so RGT GetResources is the required path.
* fix(eks): emit canonical exception code, no doubled suffix
GenerateEKSErrorResponse appended \"Exception\" unconditionally, so codes that
already carry it (e.g. awserrors.ErrorEKSResourceNotFound =
\"ResourceNotFoundException\") serialized as ResourceNotFoundExceptionException.
SDK clients comparing eks.ErrCodeResourceNotFoundException then fail to match.
Append the suffix idempotently. Also covers the many other awserrors codes that
already end in \"Exception\" and flow through the shared JSON error envelope
(EKS, ACM, tagging).
* refactor(tagging): split GetResources fetch from orchestration for testing
Introduce a resourceLister seam: GetResources wires a NATS-backed lister, while
getResources (parse + tag-filter + sort + paginate) and buildEC2Mappings (tag
grouping + ARN synthesis) are now pure and unit-tested without a live backend.
No behaviour change.
* feat(eks): per-cluster opt-in K3s built-in ingress + enforce parity default
The runtime-rendered /etc/rancher/k3s/config.yaml emitted no disable: block, so
traefik + servicelb actually ran on every cluster — the AMI config.yaml.skel
that disables them is a never-applied boot fallback (cloud-init overrides it).
Render the disable block by default so traefik + servicelb are off for AWS
parity (Service type=LoadBalancer / Ingress are the AWS Load Balancer
Controller's job). A cluster created with tag spinifex.io/managed-ingress=true
keeps the K3s built-ins for interim in-VPC app exposure before the controller
add-on lands. The flag is derived into ClusterMeta.BuiltinIngress at
CreateCluster and threaded onto K3sServerInput.
* feat(ui): subnet editor on load balancer detail page (SetSubnets)
Add a Subnets tab to the LB detail page backed by the elbv2 SetSubnets
API. The editor mirrors the security-groups editor (checkbox list of the
VPC's subnets, dirty-tracking, Reset/Save) and warns that applying a
change re-homes the load balancer by relaunching its system VM, causing
a brief data-plane interruption.
* fix(elbv2): SetSubnets must detach ENIs before delete/relaunch + roll back on terminate failure
TerminateSystemInstance tears down the LB VM but leaves its ENIs marked
in-use, so the relaunch path could neither delete removed-subnet ENIs
(InvalidNetworkInterface.InUse leak) nor re-attach retained ENIs to the
relaunched VM (attach failed InUse, dropping the retained subnet's data
plane). Detach the existing ENIs explicitly after terminate — mirroring
DeleteLoadBalancer — before deleting removed ones and relaunching.
Also roll back the freshly-created added-subnet ENIs when the terminate
step itself fails, so a failed relaunch no longer leaks ENIs (amplified
by SDK retries).
* fix(daemon): re-arm system-instance terminate subscription on recovery
system.TerminateInstance.{id} was bound only by the system.LaunchInstance
handler at first launch, so it was lost across a daemon restart: recovery
reconnects to the surviving QEMU (or relaunches) but never re-bound the
subject, leaving system.TerminateInstance.{id} with no responder. Any LB
that predated the restart could then never be torn down — SetSubnets
relaunch and DeleteLoadBalancer both failed with 'no responders'.
Re-arm it in onInstanceUpHook, which fires on both the relaunch and the
reconnect-to-surviving-QEMU recovery paths, for ManagedByELBv2 VMs; drop
it in onInstanceDownHook. Split subscribeSystemTerminate into a locked
helper so the hook (which already holds d.mu) can reuse it.
What is Spinifex? · Platform · Components · Architecture · Installation · Docs
Spinifex: An Open Source AWS-Compatible Stack for Bare-Metal, Edge, and On-Prem Deployments
Spinifex developed by Mulga Defense Corporation is an open source infrastructure platform that brings the core services of AWS—like EC2, VPC, EBS, and S3—to environments where running in the cloud isn't an option. Whether you're deploying to edge sites, private data-centers, or need to operate in low-connectivity or highly contested environments, Spinifex gives you AWS-style workflows on your own hardware.
What is Spinifex?
Spinifex replicates essential AWS primitives—virtual machines, block volumes, and object storage—using lightweight, self-contained components that are easy to deploy and integrate.
It's designed for developers and operators who need:
- Cloud-like infrastructure without the cloud
- Minimal dependencies, full control
- Drop-in compatibility with tools like the AWS CLI, SDKs, and Terraform
- A secure cloud environment you control and own the entire hardware, network and software stack
You can run Spinifex on a few servers in a rack, a field site, or anywhere centralized cloud services aren't feasible.
The Platform
From commodity hardware up to unmodified AWS tooling, every layer is replaceable and yours to own.
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
Architecture at a Glance
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. Deep dive: docs/DESIGN.md.
Key Features
AWS-Compatible Interfaces – Provision infrastructure with awscli, Terraform, or SDKs you already use.
- Designed for Control – Run on your own terms, whether that's in a datacenter, remote site, or sensitive environment.
- Minimal Dependencies – Each service is standalone and avoids complex orchestration layers.
- Works Offline – No reliance on centralized cloud services or external networks.
- Open Source – Licensed under AGPL 3.0. Fork it, extend it, or deploy it as-is.
Installation
Installation requires an Ubuntu / Debian system. See the detailed documentation at docs.mulgadc.com for maintaining and 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. The install guide walks through the full process.
Single Node Install
The installation is straightforward to set up and running on a single node for testing purposes. Debian 13 is currently supported, additional Linux distributions are on the immediate roadmap.
Prerequisite: Linux bridge for networking.
Spinifex requires a Linux bridge configured on the host for VM networking. See the single-node install guide prerequisites 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:
- Predastore - S3-compatible object storage
- Viperblock - EBS-compatible block storage
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.
The console is served by each node on port 3000 over TLS, and becomes available as soon as spinifex.target is up:
open https://YOUR_NODE_IP:3000
- 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/credentialson 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.
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.