Compare commits

...
16 Commits
Author SHA1 Message Date
Fedor Korotkov b242f27f49 Ignore GC errors (#405)
* Ignore GC errors

Such errors are not critical

* Print GC error to stderr
2023-02-09 00:15:34 +04:00
Nikolay Edigaryev b566d07bc4 Avoid URL.formatted() method (#408) 2023-02-08 06:52:01 -05:00
Fedor Korotkov d65f530bcb Updated data (#406) 2023-02-07 23:56:23 -05:00
Fedor Korotkov def779e20b Report to Sentry instead of Puppy (#402)
Instead of logging locally let's report to Sentry.
2023-02-07 20:04:45 +04:00
Khachatur Ashotyan 92b35dbcf2 Add Krisp logo in users section (#403) 2023-02-07 19:06:57 +04:00
Fedor Korotkov b8ff7474c3 Removed --with-softnet flag (#401)
Fixes #276
2023-02-05 21:56:23 +04:00
Fedor Korotkov f34aa5f072 JSON output for get and list commands (#394)
* JSON output for `get` and `list` commands

In the light of the upcoming `1.0.0` release and stabilizing of the API, let's introduce some breaking changes for the good.

Removed all the `--cpu`, `--memory`, `--disk` and `--display` flags and replaced with a single `--json` flag for machine-readable output.

Added `--json` option to the `list` command to output a single JSON list. Notably removed `--quite` flag since it seemed unnecessary.

Fixes #297

* Added Size to `list` output

Fixes #379

* Added running state to `get`

Fixes #393

* Better signature

* Updated tests

* More test fixes
2023-02-04 11:40:39 +04:00
Fedor Korotkov ecc5de18be Collect installation information (#390) 2023-02-02 06:12:28 -05:00
Nikolay Edigaryev 41af674a88 Introduce "tart import" and "tart export" commands (#386)
* Introduce "tart import" and "tart export" commands

* Use AppleArchive instead of ZIP and simply {ar,un}chive the VM dir

* Fix formatting

* Link to Apple's docs

* Print "importing..." and "exporting..." lines
2023-02-01 15:27:05 -05:00
Ekaterina Martyshevskaia 9c48d66674 Docs: add Spotlights and Testimonials section for landing page (#389)
* Draft

* Keep media queries at the end + get rid of dduplicate values

* Open external links in a separate window

* Minors

* Remove paragraph from Hero + add links

* Update img

* Remove unnecessary

* Layout adjustment

* Change animated logo position

* Shrink space between sections in mobile
2023-01-31 11:12:20 -05:00
Fedor Korotkov 31b106a67a Move FAQ to documentation website (#383)
Also reworked most of the questions and add new one about accessing services running on host.
2023-01-18 11:58:21 -05:00
fedor abb1d7192a Documentation code block tweaks 2023-01-17 15:14:03 -05:00
fedor 8b8faa2f1a Enable social plugin for documentation 2023-01-17 14:57:06 -05:00
Fedor Korotkov c8c22e8c4d Removed Git LFS (#382) 2023-01-17 23:47:35 +04:00
Fedor KorotkovandNikolay Edigaryev bd87e1a8b1 Documentation Website (#380)
* Move to mkdocs for docs

* Deploy task

* Custom landing page

* Setup Google Analytics

* Cropped animation

* Update docs/theme/overrides/home.html

Co-authored-by: Nikolay Edigaryev <edigaryev@gmail.com>

* Direct to website and discussions

Co-authored-by: Nikolay Edigaryev <edigaryev@gmail.com>
2023-01-17 19:08:30 +00:00
Nikolay Edigaryev ba4f00fa78 Fix ArgumentParser's exception printing (#367) 2022-12-21 18:06:01 +04:00
59 changed files with 1458 additions and 487 deletions
+13
View File
@@ -94,3 +94,16 @@ task:
- sentry-cli releases new $SENTRY_RELEASE
- sentry-cli releases set-commits $SENTRY_RELEASE --auto
- sentry-cli releases finalize $SENTRY_RELEASE
task:
name: Deploy Documentation
only_if: $CIRRUS_BRANCH == 'main'
container:
image: ghcr.io/squidfunk/mkdocs-material:latest
env:
DEPLOY_TOKEN: ENCRYPTED[!45ed45666558902ed1c2400add734ec063103bec31841847e8c8764802fca229bfa6d85c690e16ad159e047574b48793!]
deploy_script:
- git config --global user.name "Cirrus CI"
- git config --global user.name "hello@cirruslabs.org"
- git remote set-url origin https://$DEPLOY_TOKEN@github.com/cirruslabs/tart/
- mkdocs --verbose gh-deploy --force --remote-branch gh-pages
-2
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@@ -1,2 +0,0 @@
*.png filter=lfs diff=lfs merge=lfs -text
*.gif filter=lfs diff=lfs merge=lfs -text
+3
View File
@@ -13,3 +13,6 @@ tart.xcodeproj/
# GoReleaser
dist/
# mkdocs
.cache
+5
View File
@@ -39,10 +39,15 @@ brews:
name: homebrew-cli
caveats: See the GitHub repository for more information
homepage: https://github.com/cirruslabs/tart
license: "AGPL-3.0"
description: Run macOS VMs on Apple Silicon
skip_upload: auto
dependencies:
- "cirruslabs/cli/softnet"
post_install: |
ENV["SENTRY_DSN"] = "https://606fab64ced94f0991109ac5467e23da@o4504250314522624.ingest.sentry.io/4504606552424448"
system "#{bin}/tart report-installation"
ENV.delete("SENTRY_DSN")
custom_block: |
depends_on :macos => :monterey
+9 -18
View File
@@ -18,15 +18,6 @@
"revision" : "772883073d044bc754d401cabb6574624eb3778f"
}
},
{
"identity" : "puppy",
"kind" : "remoteSourceControl",
"location" : "https://github.com/sushichop/Puppy",
"state" : {
"revision" : "3e8d87f714f14244878752a6bb71ea465119f8a1",
"version" : "0.5.1"
}
},
{
"identity" : "sentry-cocoa",
"kind" : "remoteSourceControl",
@@ -81,15 +72,6 @@
"version" : "1.0.3"
}
},
{
"identity" : "swift-log",
"kind" : "remoteSourceControl",
"location" : "https://github.com/apple/swift-log.git",
"state" : {
"revision" : "6fe203dc33195667ce1759bf0182975e4653ba1c",
"version" : "1.4.4"
}
},
{
"identity" : "swift-numerics",
"kind" : "remoteSourceControl",
@@ -116,6 +98,15 @@
"revision" : "da637c398c5d08896521b737f2868ddc2e7996ae",
"version" : "0.50.6"
}
},
{
"identity" : "texttable",
"kind" : "remoteSourceControl",
"location" : "https://github.com/cfilipov/TextTable",
"state" : {
"branch" : "master",
"revision" : "e03289289155b4e7aa565e32862f9cb42140596a"
}
}
],
"version" : 2
+2 -3
View File
@@ -15,11 +15,11 @@ let package = Package(
.package(url: "https://github.com/apple/swift-algorithms", from: "1.0.0"),
.package(url: "https://github.com/apple/swift-async-algorithms", branch: "main"),
.package(url: "https://github.com/malcommac/SwiftDate", from: "6.3.1"),
.package(url: "https://github.com/sushichop/Puppy", from: "0.5.1"),
.package(url: "https://github.com/antlr/antlr4", branch: "dev"),
.package(url: "https://github.com/apple/swift-atomics.git", .upToNextMajor(from: "1.0.0")),
.package(url: "https://github.com/nicklockwood/SwiftFormat", from: "0.50.6"),
.package(url: "https://github.com/getsentry/sentry-cocoa", from: "7.31.3"),
.package(url: "https://github.com/cfilipov/TextTable", branch: "master"),
],
targets: [
.executableTarget(name: "tart", dependencies: [
@@ -28,11 +28,10 @@ let package = Package(
.product(name: "ArgumentParser", package: "swift-argument-parser"),
.product(name: "Dynamic", package: "Dynamic"),
.product(name: "SwiftDate", package: "SwiftDate"),
.product(name: "Puppy", package: "Puppy"),
.product(name: "Antlr4Static", package: "Antlr4"),
.product(name: "Atomics", package: "swift-atomics"),
.product(name: "Sentry", package: "sentry-cocoa"),
.product(name: "TextTable", package: "TextTable"),
], exclude: [
"OCI/Reference/Makefile",
"OCI/Reference/Reference.g4",
+7 -349
View File
@@ -3,7 +3,7 @@
*Tart* is a virtualization toolset to build, run and manage macOS and Linux virtual machines (VMs) on Apple Silicon.
Built by CI engineers for your automation needs. Here are some highlights of Tart:
* Tart uses Apple's own `Virtualization.Framework` for [near-native performance](https://browser.geekbench.com/v5/cpu/compare/14966395?baseline=14966339).
* Tart uses Apple's own `Virtualization.Framework` for [near-native performance](https://browser.geekbench.com/v5/cpu/compare/20382844?baseline=20382722).
* Push/Pull virtual machines from any OCI-compatible container registry.
* Use Tart Packer Plugin to automate VM creation.
* Built-in CI integration.
@@ -28,6 +28,9 @@ Many more companies are using Tart in their internal setups. Here are a few of t
<a href="https://ahrefs.com/" target=_blank>
<img src="https://github.com/cirruslabs/tart/raw/main/Resources/Users/ahrefs.png" height="65"/>
</a>
<a href="https://krisp.ai/" target=_blank>
<img src="https://github.com/cirruslabs/tart/raw/main/Resources/Users/Krisp.png" height="65"/>
</a>
<a href="https://suran.com/" target=_blank>
<img src="https://github.com/cirruslabs/tart/raw/main/Resources/Users/Suran.png" height="65"/>
</a>
@@ -42,356 +45,11 @@ Many more companies are using Tart in their internal setups. Here are a few of t
Try running a Tart VM on your Apple Silicon device running macOS 12.0 (Monterey) or later (will download a 25 GB image):
```shell
```bash
brew install cirruslabs/cli/tart
tart clone ghcr.io/cirruslabs/macos-ventura-base:latest ventura-base
tart run ventura-base
```
<img src="https://github.com/cirruslabs/tart/raw/main/Resources/TartScreenshot.png"/>
## CI Integration
Tart already powers several CI services mentioned above including our own [Cirrus CI](https://cirrus-ci.org/guide/macOS/) which offers unlimited concurrency with per-second billing.
For services that haven't leveraged Tart yet, we offer fully managed runners via a monthly subscription.
*Cirrus Runners* is the fastest way to get your current CI workflows to benefit from Apple Silicon hardware. No need to manage infrastructure or migrate to another CI provider.
Please read down below about currently supported services.
### Managed runners for your CI-as-a-service
At the moment Cirrus Runners only supports GitHub Actions, but we are actively working on adding more options.
Please [email us](mailto:hello@cirruslabs.org) if you are interested in a particular one.
#### GitHub Actions
Configuring Cirrus Runners for GitHub Actions is as simple as installing [Cirrus Runners App](https://github.com/apps/cirrus-runners).
After successful installation and subscription configuration, use any of [Ventura images managed by us](https://github.com/cirruslabs/macos-image-templates) in `runs-on`:
```yaml
name: Test Suite
jobs:
test:
runs-on: ghcr.io/cirruslabs/macos-ventura-xcode:latest
```
When workflows are executing you'll see Cirrus on-demand runners on your organization's settings page at `https://github.com/organizations/<ORGANIZATION>/settings/actions/runners`.
<img src="https://github.com/cirruslabs/tart/raw/main/Resources/TartGHARunners.png"/>
### Self-hosted CI
Tart itself is only responsible for managing virtual machines, but we've built Tart support into a tool called Cirrus CLI
also developed by Cirrus Labs. [Cirrus CLI](https://github.com/cirruslabs/cirrus-cli) is a command line tool with
one configuration format to execute common CI steps (run a script, cache a folder, etc.) locally or in any CI system.
We built Cirrus CLI to solve "But it works on my machine!" problem.
Here is an example of a `.cirrus.yml` configuration file which will start a Tart VM, will copy over working directory and
will run scripts and [other instructions](https://cirrus-ci.org/guide/writing-tasks/#supported-instructions) inside the virtual machine:
```yaml
task:
name: hello
macos_instance:
# can be a remote or a local virtual machine
image: ghcr.io/cirruslabs/macos-monterey-base:latest
hello_script:
- echo "Hello from within a Tart VM!"
- echo "Here is my CPU info:"
- sysctl -n machdep.cpu.brand_string
- sleep 15
```
Put the above `.cirrus.yml` file in the root of your repository and run it with the following command:
```shell
brew install cirruslabs/cli/cirrus
cirrus run
```
<img src="https://github.com/cirruslabs/tart/raw/main/Resources/TartCirrusCLI.gif"/>
[Cirrus CI](https://cirrus-ci.org/) already leverages Tart to power its macOS cloud infrastructure. The `.cirrus.yml`
config from above will just work in Cirrus CI and your tasks will be executed inside Tart VMs in our cloud.
**Note:** Cirrus CI only allows [images managed and regularly updated by us](https://github.com/orgs/cirruslabs/packages?tab=packages&q=macos).
#### Retrieving artifacts from within Tart VMs
In many cases there is a need to retrieve particular files or a folder from within a Tart virtual machine.
For example, the below `.cirrus.yml` configuration defines a single task that builds a `tart` binary and
exposes it via [`artifacts` instruction](https://cirrus-ci.org/guide/writing-tasks/#artifacts-instruction):
```yaml
task:
name: Build
macos_instance:
image: ghcr.io/cirruslabs/macos-monterey-xcode:latest
build_script: swift build --product tart
binary_artifacts:
path: .build/debug/tart
```
Running Cirrus CLI with `--artifacts-dir` will write defined `artifacts` to the provided local directory on the host:
```shell
cirrus run --artifacts-dir artifacts
```
Note that all retrieved artifacts will be prefixed with the associated task name and `artifacts` instruction name.
For the example above, `tart` binary will be saved to `$PWD/artifacts/Build/binary/.build/debug/tart`.
## Virtual Machine Management
### Creating from scratch
Tart supports macOS and Linux virtual machines. All commands like `run` and `pull` work the same way regarding of the underlying OS a particular VM image has.
The only difference is how such VM images are created. Please check sections below for [macOS](#creating-a-macos-vm-image-from-scratch) and [Linux](#creating-a-linux-vm-image-from-scratch) instructions.
#### Creating a macOS VM image from scratch
Tart can create VMs from `*.ipsw` files. You can download a specific `*.ipsw` file [here](https://ipsw.me/) or you can
use `latest` instead of a path to `*.ipsw` to download the latest available version:
```shell
tart create --from-ipsw=latest monterey-vanilla
tart run monterey-vanilla
```
After the initial booting of the VM you'll need to manually go through the macOS installation process. As a convention we recommend creating an `admin` user with an `admin` password. After the regular installation please do some additional modifications in the VM:
1. Enable Auto-Login. Users & Groups -> Login Options -> Automatic login -> admin.
2. Allow SSH. Sharing -> Remote Login
3. Disable Lock Screen. Preferences -> Lock Screen -> disable "Require Password" after 5.
4. Disable Screen Saver.
5. Run `sudo visudo` in Terminal, find `%admin ALL=(ALL) ALL` add `admin ALL=(ALL) NOPASSWD: ALL` to allow sudo without a password.
#### Creating a Linux VM image from scratch
Linux VMs are supported on hosts running macOS 13.0 (Ventura) or newer.
```shell
# Create a bare VM
tart create --linux ubuntu
# Install Ubuntu
tart run --disk focal-desktop-arm64.iso ubuntu
# Run VM
tart run ubuntu
```
After the initial setup please make sure your VM can be SSH-ed into by running the following commands inside your VM:
```shell
sudo apt update
sudo apt install -y openssh-server
sudo ufw allow ssh
```
### Configuring a VM
By default, a tart VM uses 2 CPUs and 4 GB of memory with a `1024x768` display. This can be changed with `tart set` command.
Please refer to `tart set --help` for additional details.
### Building with Packer
Please refer to [Tart Packer Plugin repository](https://github.com/cirruslabs/packer-plugin-tart) for setup instructions.
Here is an example of a template to build `monterey-base` local image based of a remote image:
```hcl
packer {
required_plugins {
tart = {
version = ">= 0.5.3"
source = "github.com/cirruslabs/tart"
}
}
}
source "tart-cli" "tart" {
vm_base_name = "ghcr.io/cirruslabs/macos-ventura-base:latest"
vm_name = "my-custom-ventura"
cpu_count = 4
memory_gb = 8
disk_size_gb = 70
ssh_password = "admin"
ssh_timeout = "120s"
ssh_username = "admin"
}
build {
sources = ["source.tart-cli.tart"]
provisioner "shell" {
inline = ["echo 'Disabling spotlight indexing...'", "sudo mdutil -a -i off"]
}
# more provisioners
}
```
Here is a [repository with Packer templates](https://github.com/cirruslabs/macos-image-templates) used to build [all the images managed by us](https://github.com/orgs/cirruslabs/packages?tab=packages&q=macos).
### Working with a Remote OCI Container Registry
For example, let's say you want to push/pull images to a registry hosted at https://acme.io/.
#### Registry Authorization
First, you need to log in and save credential for `acme.io` host via `tart login` command:
```shell
tart login acme.io
```
Credentials are securely stored in Keychain.
In addition, Tart supports [Docker credential helpers](https://docs.docker.com/engine/reference/commandline/login/#credential-helpers)
if defined in `~/.docker/config.json`.
Finally, `TART_REGISTRY_USERNAME` and `TART_REGISTRY_PASSWORD` environment variables allow to override authorization
for all registries which might useful for integrating with your CI's secret management.
#### Pushing a Local Image
Once credentials are saved for `acme.io`, run the following command to push a local images remotely with two tags:
```shell
tart push my-local-vm-name acme.io/remoteorg/name:latest acme.io/remoteorg/name:v1.0.0
```
#### Pulling a Remote Image
You can either pull an image:
```shell
tart pull acme.io/remoteorg/name:latest
```
...or instantiate a VM from a remote image:
```shell
tart clone acme.io/remoteorg/name:latest my-local-vm-name
```
This invocation calls the `tart pull` implicitly (if the image is not being present) before doing the actual cloning.
### Mounting directories
To mount a directory, run the VM with the `--dir` argument:
```shell
tart run --dir=project:~/src/project vm
```
Here, the `project` specifies a mount name, whereas the `~/src/project` is a path to the host's directory to expose to the VM.
It is also possible to mount directories in read-only mode by adding a third parameter, `ro`:
```shell
tart run --dir=project:~/src/project:ro vm
```
To mount multiple directories, repeat the `--dir` argument for each directory:
```shell
tart run --dir=www1:~/project1/www --dir=www2:~/project2/www
```
Note that the first parameter in each `--dir` argument must be unique, otherwise only the last `--dir` argument using that name will be used.
Note: to use the directory mounting feature, the host needs to run macOS 13.0 (Ventura) or newer.
#### Accessing mounted directories in macOS guests
All shared directories are automatically mounted to `/Volumes/My Shared Files` directory.
The directory we've mounted above will be accessible from the `/Volumes/My Shared Files/project` path inside a guest VM.
Note: to use the directory mounting feature, the guest VM needs to run macOS 13.0 (Ventura) or newer.
#### Accessing mounted directories in Linux guests
To be able to access the shared directories from the Linux guest, you need to manually mount the virtual filesystem first:
```shell
mount -t virtiofs com.apple.virtio-fs.automount /mnt/shared
```
The directory we've mounted above will be accessible from the `/mnt/shared/project` path inside a guest VM.
## FAQ
<details>
<summary>How Tart is different from Anka</summary>
Under the hood Tart is using the same technology as Anka 3.0 so there should be no real difference in performance
or features supported. If there is some feature missing please don't hesitate to [create a feature request](https://github.com/cirruslabs/tart/issues).
Instead of Anka Registry, Tart can work with any OCI-compatible container registry.
Tart doesn't yet have an analogue of Anka Controller for managing long living VMs. Please take a look at [CI integration](#ci-integration)
section for an option to run ephemeral VMs for your needs.
</details>
<details>
<summary>Why Tart is free and open sourced?</summary>
Apple did all the heavy lifting with their `Virtualization.Framework` and it just felt right to develop Tart in the open.
Please consider [becoming a sponsor](https://github.com/sponsors/cirruslabs) if you find Tart saving a substantial amount of money on licensing and engineering hours for your company.
</details>
<details>
<summary>How to change VM's disk size?</summary>
You can choose disk size upon creation of a virtual machine:
```shell
tart create --from-ipsw=latest --disk-size=25 monterey-vanilla
```
For an existing VM please use [Packer Plugin](https://github.com/cirruslabs/packer-plugin-tart) which can increase
disk size for new virtual machines. Here is an example of [how to change disk size in a Packer template](https://github.com/cirruslabs/macos-image-templates/blob/fb0bcf68e0b093129136875c050205a66729b596/templates/base.pkr.hcl#L15).
</details>
<details>
<summary>VM location on disk</summary>
Tart stores all it's files in `~/.tart/` directory. Local images that you can run are stored in `~/.tart/vms/`.
Remote images are pulled into `~/.tart/cache/OCIs/`.
</details>
<details>
<summary>Nested virtualization support?</summary>
Tart is limited by functionality of Apple's `Virtualization.Framework`. At the moment `Virtualization.Framework`
doesn't support nested virtualization.
</details>
<details>
<summary>Changing the default NAT subnet</summary>
To change the default network to `192.168.77.1`:
```shell
sudo defaults write /Library/Preferences/SystemConfiguration/com.apple.vmnet.plist Shared_Net_Address -string 192.168.77.1
```
Note that even through a network would normally be specified as `192.168.77.0`, the [vmnet framework](https://developer.apple.com/documentation/vmnet) seems to treat this as a starting address too and refuses to pick up such network-like values.
The default subnet mask `255.255.255.0` should suffice for most use-cases, however, you can also change it to `255.255.0.0`, for example:
```shell
sudo defaults write /Library/Preferences/SystemConfiguration/com.apple.vmnet.plist Shared_Net_Mask -string 255.255.0.0
```
</details>
<details>
<summary>How to connect to a VM over SSH?</summary>
If the guest VM is running and configured to accept incoming SSH connections you can conveniently connect to it like so:
```shell
ssh admin@$(tart ip macos-monterey-base)
```
</details>
Please check the [official documentation](https://tart.run) for more information and/or feel free to use [discussions](https://github.com/cirruslabs/tart/discussions)
for remaining questions.
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@@ -39,6 +39,7 @@ struct Clone: AsyncParsableCommand {
try tmpVMDirLock.lock()
try await withTaskCancellationHandler(operation: {
// Acquire a global lock
let lock = try FileLock(lockURL: Config().tartHomeDir)
try lock.lock()
@@ -52,15 +53,3 @@ struct Clone: AsyncParsableCommand {
})
}
}
fileprivate extension VMDirectory {
func macAddress() throws -> String {
try VMConfig(fromURL: configURL).macAddress.string
}
}
fileprivate extension VMStorageLocal {
func hasVMsWithMACAddress(macAddress: String) throws -> Bool {
try list().contains { try $1.macAddress() == macAddress }
}
}
+16
View File
@@ -0,0 +1,16 @@
import ArgumentParser
struct Export: AsyncParsableCommand {
static var configuration = CommandConfiguration(abstract: "Export VM to a file")
@Argument(help: "Source VM name.")
var name: String
@Argument(help: "Path to the destination file.")
var path: String
func run() async throws {
print("exporting...")
try VMStorageHelper.open(name).exportToArchive(path: path)
}
}
+15 -36
View File
@@ -1,52 +1,31 @@
import ArgumentParser
import Foundation
fileprivate struct VMInfo: Encodable {
let CPU: Int
let Memory: UInt64
let Disk: Int
let Display: String
let Running: Bool
}
struct Get: AsyncParsableCommand {
static var configuration = CommandConfiguration(commandName: "get", abstract: "Get a VM's configuration")
@Argument(help: "VM name.")
var name: String
@Flag(help: "Number of VM CPUs.")
var cpu: Bool = false
@Flag(help: "VM memory size in megabytes.")
var memory: Bool = false
@Flag(help: "Disk size in gigabytes.")
var diskSize: Bool = false
@Flag(help: "VM display resolution in a format of <width>x<height>. For example, 1200x800.")
var display: Bool = false
func validate() throws {
if [cpu, memory, diskSize, display].filter({$0}).count > 1 {
throw ValidationError("Options --cpu, --memory, --disk-size and --display are mutually exclusive")
}
}
@Option(help: "Output format: text or json")
var format: Format = .text
func run() async throws {
let vmDir = try VMStorageLocal().open(name)
let vmConfig = try VMConfig(fromURL: vmDir.configURL)
let diskSizeInGb = try vmDir.sizeBytes() / 1000 / 1000 / 1000
let memorySizeInMb = vmConfig.memorySize / 1024 / 1024
let diskSizeInGb = try vmDir.sizeGB()
let memorySizeInMb = vmConfig.memorySize / 1024 / 1024
let running = try PIDLock(lockURL: vmDir.configURL).pid() > 0
if cpu {
print(vmConfig.cpuCount)
} else if memory {
print(memorySizeInMb)
} else if diskSize {
print(diskSizeInGb)
} else if display {
print("\(vmConfig.display.width)x\(vmConfig.display.height)")
} else {
print(
"CPU\tMemory\tDisk\tDisplay\n" +
"\(vmConfig.cpuCount)\t" +
"\(memorySizeInMb) MB\t" +
"\(diskSizeInGb) GB\t" +
"\(vmConfig.display)"
)
}
let info = VMInfo(CPU: vmConfig.cpuCount, Memory: memorySizeInMb, Disk: diskSizeInGb, Display: vmConfig.display.description, Running: running)
print(format.renderSingle(info))
}
}
+51
View File
@@ -0,0 +1,51 @@
import ArgumentParser
import Foundation
struct Import: AsyncParsableCommand {
static var configuration = CommandConfiguration(abstract: "Import VM from a file")
@Argument(help: "Path to a file created with \"tart export\".")
var path: String
@Argument(help: "Destination VM name.")
var name: String
func validate() throws {
if name.contains("/") {
throw ValidationError("<name> should be a local name")
}
}
func run() async throws {
let localStorage = VMStorageLocal()
// Create a temporary VM directory to which we will load the export file
let tmpVMDir = try VMDirectory.temporary()
// Lock the temporary VM directory to prevent it's garbage collection
// while we're running
let tmpVMDirLock = try FileLock(lockURL: tmpVMDir.baseURL)
try tmpVMDirLock.lock()
// Populate the temporary VM directory with the export file contents
print("importing...")
try tmpVMDir.importFromArchive(path: path)
try await withTaskCancellationHandler(operation: {
// Acquire a global lock
let lock = try FileLock(lockURL: Config().tartHomeDir)
try lock.lock()
// Re-generate the VM's MAC address importing it will result in address collision
if try localStorage.hasVMsWithMACAddress(macAddress: tmpVMDir.macAddress()) {
try tmpVMDir.regenerateMACAddress()
}
try localStorage.move(name, from: tmpVMDir)
try lock.unlock()
}, onCancel: {
try? FileManager.default.removeItem(at: tmpVMDir.baseURL)
})
}
}
+28 -18
View File
@@ -2,15 +2,24 @@ import ArgumentParser
import Dispatch
import SwiftUI
fileprivate struct VMInfo: Encodable {
let Source: String
let Name: String
let Size: Int
}
struct List: AsyncParsableCommand {
static var configuration = CommandConfiguration(abstract: "List created VMs")
@Flag(name: [.short, .long], help: ArgumentHelp("Only display VM names."))
var quiet: Bool = false
@Option(help: ArgumentHelp("Only display VMs from the specified source (e.g. --source local, --source oci)."))
var source: String?
@Option(help: "Output format: text or json")
var format: Format = .text
@Flag(name: [.short, .long], help: ArgumentHelp("Only display VM names."))
var quiet: Bool = false
func validate() throws {
guard let source = source else {
return
@@ -22,27 +31,28 @@ struct List: AsyncParsableCommand {
}
func run() async throws {
if !quiet {
print("Source\tName")
}
var infos: [VMInfo] = []
if source == nil || source == "local" {
displayTable("local", try VMStorageLocal().list())
infos += sortedInfos(try VMStorageLocal().list().map { (name, vmDir) in
try VMInfo(Source: "local", Name: name, Size: vmDir.sizeGB())
})
}
if source == nil || source == "oci" {
displayTable("oci", try VMStorageOCI().list().map { (name, vmDir, _) in (name, vmDir) })
infos += sortedInfos(try VMStorageOCI().list().map { (name, vmDir, _) in
try VMInfo(Source: "oci", Name: name, Size: vmDir.sizeGB())
})
}
if (quiet) {
for info in infos {
print(info.Name)
}
} else {
print(format.renderList(infos))
}
}
private func displayTable(_ source: String, _ vms: [(String, VMDirectory)]) {
for (name, _) in vms.sorted(by: { left, right in left.0 < right.0 }) {
if quiet {
print(name)
} else {
let source = source.padding(toLength: "Source".count, withPad: " ", startingAt: 0)
print("\(source)\t\(name)")
}
}
private func sortedInfos(_ infos: [VMInfo]) -> [VMInfo] {
infos.sorted(by: { left, right in left.Name < right.Name })
}
}
+2 -3
View File
@@ -100,10 +100,9 @@ struct Prune: AsyncParsableCommand {
cacheReclaimedBytes += try prunable.sizeBytes()
try prunable.delete()
puppy.info("deleting \(prunable.url)...")
}
puppy.info("reclaimed \(cacheReclaimedBytes) bytes")
try SentrySDK.span?.setExtra(value: prunable.sizeBytes(), key: prunable.url.path);
}
SentrySDK.span?.setMeasurement(name: "gc_disk_reclaimed", value: cacheReclaimedBytes as NSNumber, unit: MeasurementUnitInformation.byte);
}
@@ -0,0 +1,25 @@
import ArgumentParser
import Foundation
import Sentry
struct ReportInstallation: AsyncParsableCommand {
static var configuration = CommandConfiguration(
commandName: "report-installation",
abstract: "Send installation event to Sentry if configured",
discussion: """
Reports macOS version and device model for analytics purposes.
Helps Cirrus Labs team to prioritize testing on most popular devices.
""",
shouldDisplay: false
)
func run() async throws {
let installationEvent = Event()
installationEvent.message = SentryMessage(formatted: "installed")
installationEvent.level = SentryLevel.info
installationEvent.user = nil
installationEvent.stacktrace = nil
let id = SentrySDK.capture(event: installationEvent)
print("Captured installation event #\(id)!")
}
}
+1 -9
View File
@@ -38,9 +38,6 @@ struct Run: AsyncParsableCommand {
+ "Note that this feature is experimental and there may be bugs present when using VNC."))
var vncExperimental: Bool = false
@Flag(help: ArgumentHelp(visibility: .private))
var withSoftnet: Bool = false
@Option(help: ArgumentHelp("""
Additional disk attachments with an optional read-only specifier\n(e.g. --disk=\"disk.bin\" --disk=\"ubuntu.iso:ro\")
""", discussion: """
@@ -88,11 +85,6 @@ struct Run: AsyncParsableCommand {
if vnc && vncExperimental {
throw ValidationError("--vnc and --vnc-experimental are mutually exclusive")
}
if withSoftnet && netBridged != nil {
throw ValidationError("--with-softnet and --net-bridged are mutually exclusive")
}
if netBridged != nil && netSoftnet {
throw ValidationError("--net-bridged and --net-softnet are mutually exclusive")
}
@@ -203,7 +195,7 @@ struct Run: AsyncParsableCommand {
}
func userSpecifiedNetwork(vmDir: VMDirectory) throws -> Network? {
if withSoftnet || netSoftnet {
if netSoftnet {
let config = try VMConfig.init(fromURL: vmDir.configURL)
return try Softnet(vmMACAddress: config.macAddress.string)
+41
View File
@@ -0,0 +1,41 @@
import ArgumentParser
import Foundation
import TextTable
enum Format: String, ExpressibleByArgument, CaseIterable {
case text, json
private(set) static var allValueStrings: [String] = Format.allCases.map { "\($0)"}
func renderSingle<T>(_ data: T) -> String where T: Encodable {
switch self {
case .text:
return renderList([data])
case .json:
let encoder = JSONEncoder()
encoder.outputFormatting = .prettyPrinted
return try! encoder.encode(data).asText()
}
}
func renderList<T>(_ data: Array<T>) -> String where T: Encodable {
switch self {
case .text:
if (data.count == 0) {
return ""
}
let table = TextTable<T> { (item: T) in
let mirroredObject = Mirror(reflecting: item)
return mirroredObject.children.enumerated().map { (_, element) in
let fieldName = element.label!
return Column(title: fieldName, value: element.value)
}
}
return table.string(for: data, style: Style.plain)?.trimmingCharacters(in: .whitespacesAndNewlines) ?? ""
case .json:
let encoder = JSONEncoder()
encoder.outputFormatting = .prettyPrinted
return try! encoder.encode(data).asText()
}
}
}
+14 -23
View File
@@ -1,16 +1,8 @@
import ArgumentParser
import Darwin
import Foundation
import Puppy
import Sentry
var puppy = Puppy.default
class LogFormatter: LogFormattable {
func formatMessage(_ level: LogLevel, message: String, tag: String, function: String, file: String, line: UInt, swiftLogInfo: [String: String], label: String, date: Date, threadID: UInt64) -> String {
"\(date) \(level) \(message)"
}
}
@main
struct Root: AsyncParsableCommand {
static var configuration = CommandConfiguration(
@@ -27,10 +19,13 @@ struct Root: AsyncParsableCommand {
IP.self,
Pull.self,
Push.self,
Import.self,
Export.self,
Prune.self,
Rename.self,
Stop.self,
Delete.self,
ReportInstallation.self,
])
public static func main() async throws {
@@ -77,18 +72,16 @@ struct Root: AsyncParsableCommand {
// Set line-buffered output for stdout
setlinebuf(stdout)
// Initialize file logger
let logFileURL = try Config().tartHomeDir.appendingPathComponent("tart.log")
let fileLogger = try FileLogger("org.cirruslabs.tart", fileURL: logFileURL)
fileLogger.format = LogFormatter()
puppy.add(fileLogger)
// Parse and run command
do {
var command = try parseAsRoot()
// Run garbage-collection before each command (shouldn't take too long)
try Config().gc()
do {
try Config().gc()
} catch {
fputs("Failed to perform garbage collection!\n\(error)\n", stderr)
}
if var asyncCommand = command as? AsyncParsableCommand {
try await asyncCommand.run()
@@ -96,21 +89,19 @@ struct Root: AsyncParsableCommand {
try command.run()
}
} catch {
if exitCode(for: error).rawValue == 0 {
exit(withError: error)
}
// Capture the error into Sentry
SentrySDK.capture(error: error)
SentrySDK.flush(timeout: 2.seconds.timeInterval)
print(error)
// Handle a non-ArgumentParser's exception that requires a specific exit code to be set
if let errorWithExitCode = error as? HasExitCode {
print(error)
Foundation.exit(errorWithExitCode.exitCode)
}
Foundation.exit(1)
// Handle any other exception, including ArgumentParser's ones
exit(withError: error)
}
}
+95
View File
@@ -0,0 +1,95 @@
import System
import AppleArchive
fileprivate let permissions = FilePermissions(rawValue: 0o644)
// Compresses VMDirectory using Apple's proprietary archive format[1] and LZFSE compression,
// which is recommended on Apple platforms[2].
//
// [1]: https://developer.apple.com/documentation/accelerate/compressing_file_system_directories
// [2]: https://developer.apple.com/documentation/compression/algorithm/lzfse
extension VMDirectory {
func exportToArchive(path: String) throws {
guard let fileStream = ArchiveByteStream.fileStream(
path: FilePath(path),
mode: .writeOnly,
options: [.create, .truncate],
permissions: permissions
) else {
let details = Errno(rawValue: CInt(errno))
throw RuntimeError.ExportFailed("ArchiveByteStream.fileStream() failed: \(details)")
}
defer {
try? fileStream.close()
}
guard let compressionStream = ArchiveByteStream.compressionStream(
using: .lzfse,
writingTo: fileStream
) else {
let details = Errno(rawValue: CInt(errno))
throw RuntimeError.ExportFailed("ArchiveByteStream.compressionStream() failed: \(details)")
}
defer {
try? compressionStream.close()
}
guard let encodeStream = ArchiveStream.encodeStream(writingTo: compressionStream) else {
let details = Errno(rawValue: CInt(errno))
throw RuntimeError.ExportFailed("ArchiveStream.encodeStream() failed: \(details)")
}
defer {
try? encodeStream.close()
}
guard let keySet = ArchiveHeader.FieldKeySet("TYP,PAT,LNK,DEV,DAT,UID,GID,MOD,FLG,MTM,BTM,CTM") else {
return
}
try encodeStream.writeDirectoryContents(archiveFrom: FilePath(baseURL.path), keySet: keySet)
}
func importFromArchive(path: String) throws {
guard let fileStream = ArchiveByteStream.fileStream(path: FilePath(path), mode: .readOnly, options: [],
permissions: permissions) else {
let details = Errno(rawValue: CInt(errno))
throw RuntimeError.ImportFailed("ArchiveByteStream.fileStream() failed: \(details)")
}
defer {
try? fileStream.close()
}
guard let decompressionStream = ArchiveByteStream.decompressionStream(readingFrom: fileStream) else {
let details = Errno(rawValue: CInt(errno))
throw RuntimeError.ImportFailed("ArchiveByteStream.decompressionStream() failed: \(details)")
}
defer {
try? decompressionStream.close()
}
guard let decodeStream = ArchiveStream.decodeStream(readingFrom: decompressionStream) else {
let details = Errno(rawValue: CInt(errno))
throw RuntimeError.ImportFailed("ArchiveStream.decodeStream() failed: \(details)")
}
defer {
try? decodeStream.close()
}
guard let extractStream = ArchiveStream.extractStream(extractingTo: FilePath(baseURL.path)) else {
let details = Errno(rawValue: CInt(errno))
throw RuntimeError.ImportFailed("ArchiveStream.extractStream() failed: \(details)")
}
defer {
try? extractStream.close()
}
_ = try ArchiveStream.process(readingFrom: decodeStream, writingTo: extractStream)
}
}
+17 -3
View File
@@ -68,11 +68,21 @@ struct VMDirectory: Prunable {
try FileManager.default.copyItem(at: diskURL, to: to.diskURL)
// Re-generate MAC address
var newVMConfig = try VMConfig(fromURL: to.configURL)
if generateMAC {
newVMConfig.macAddress = VZMACAddress.randomLocallyAdministered()
try to.regenerateMACAddress()
}
try newVMConfig.save(toURL: to.configURL)
}
func macAddress() throws -> String {
try VMConfig(fromURL: configURL).macAddress.string
}
func regenerateMACAddress() throws {
var vmConfig = try VMConfig(fromURL: configURL)
vmConfig.macAddress = VZMACAddress.randomLocallyAdministered()
try vmConfig.save(toURL: configURL)
}
func resizeDisk(_ sizeGB: UInt16) throws {
@@ -97,6 +107,10 @@ struct VMDirectory: Prunable {
try configURL.sizeBytes() + diskURL.sizeBytes() + nvramURL.sizeBytes()
}
func sizeGB() throws -> Int {
try sizeBytes() / 1000 / 1000 / 1000
}
func markExplicitlyPulled() {
FileManager.default.createFile(atPath: explicitlyPulledMark.path, contents: nil)
}
+6
View File
@@ -53,6 +53,8 @@ enum RuntimeError : Error {
case VMTerminationFailed(_ message: String)
case InvalidCredentials(_ message: String)
case VMDirectoryAlreadyInitialized(_ message: String)
case ExportFailed(_ message: String)
case ImportFailed(_ message: String)
}
protocol HasExitCode {
@@ -86,6 +88,10 @@ extension RuntimeError : CustomStringConvertible {
return message
case .VMDirectoryAlreadyInitialized(let message):
return message
case .ExportFailed(let message):
return "VM export failed: \(message)"
case .ImportFailed(let message):
return "VM import failed: \(message)"
}
}
}
+4
View File
@@ -62,4 +62,8 @@ class VMStorageLocal {
throw error
}
}
func hasVMsWithMACAddress(macAddress: String) throws -> Bool {
try list().contains { try $1.macAddress() == macAddress }
}
}
+14 -5
View File
@@ -166,16 +166,25 @@ class VMStorageOCI: PrunableStorage {
let availableCapacityBytes = max(UInt64(capacityImportant), UInt64(capacityAvailable))
if capacityImportant == 0 || capacityAvailable == 0 {
puppy.warning("important capacity \(capacityImportant) bytes, "
+ "available capacity is \(capacityAvailable) bytes")
SentrySDK.capture(message: "Zero capacity") { scope in
scope.setLevel(.warning)
scope.setContext(value: [
"volumeAvailableCapacityForImportantUsageKey": capacityImportant,
"volumeAvailableCapacityKey": capacityAvailable,
], key: "Attributes")
}
}
// There is a suspicious that occasionally capacity is returned as zero which can't be true.
// Let's validate to avoid unnecessary pruning.
if 0 < availableCapacityBytes && availableCapacityBytes < requiredCapacityBytes {
puppy.info("pruning cache to accommodate \(name) with a disk of size \(uncompressedDiskSize) bytes ("
+ "available capacity is \(availableCapacityBytes) bytes, required capacity "
+ "is \(requiredCapacityBytes) bytes)")
let transaction = SentrySDK.startTransaction(name: "Automatically Pruning Cache", operation: "prune", bindToScope: true)
transaction.setData(value: name, key: "name")
transaction.setData(value: uncompressedDiskSize, key: "uncompressedDiskSize")
transaction.setData(value: availableCapacityBytes, key: "availableCapacity")
transaction.setData(value: requiredCapacityBytes, key: "requiredCapacity")
defer { transaction.finish() }
try Prune.pruneReclaim(reclaimBytes: requiredCapacityBytes - availableCapacityBytes)
}
+2
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@@ -0,0 +1,2 @@
tart.run
www.tart.run
Binary file not shown.
+15
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@@ -0,0 +1,15 @@
<?xml version="1.0" encoding="UTF-8"?>
<svg width="146px" height="165px" viewBox="0 0 146 165" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<title>cirrus-logo</title>
<defs></defs>
<g id="Page-1" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd" stroke-linecap="round">
<g id="cirrus-logo" transform="translate(7.000000, 7.000000)" stroke="#333333" stroke-width="13.5">
<path d="M0,126.494118 L111,126.494118" id="Shape" fill="#000000" fill-rule="nonzero"></path>
<path d="M111,126.494118 C122.59798,126.494118 132,117.055227 132,105.411765 C132,93.7683027 122.59798,84.3294118 111,84.3294118" id="Shape"></path>
<path d="M0,84.3294118 L111,84.3294118" id="Shape" fill="#000000" fill-rule="nonzero"></path>
<path d="M111,84.3294118 C122.59798,84.3294118 132,74.8905208 132,63.2470588 C132,51.6035968 122.59798,42.1647059 111,42.1647059" id="Shape"></path>
<path d="M0,42.1647059 L111,42.1647059" id="Shape" fill="#000000" fill-rule="nonzero"></path>
<path d="M111,42.1647059 C122.59798,42.1647057 132,32.7258148 132,21.0823529 C132,9.43889104 122.59798,1.73501101e-07 111,-3.55271368e-15" id="Shape"></path>
</g>
</g>
</svg>

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+66
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@@ -0,0 +1,66 @@
---
hide:
- navigation
---
# Cirrus CLI
Tart itself is only responsible for managing virtual machines, but we've built Tart support into a tool called Cirrus CLI
also developed by Cirrus Labs. [Cirrus CLI](https://github.com/cirruslabs/cirrus-cli) is a command line tool with
one configuration format to execute common CI steps (run a script, cache a folder, etc.) locally or in any CI system.
We built Cirrus CLI to solve "But it works on my machine!" problem.
Here is an example of a `.cirrus.yml` configuration file which will start a Tart VM, will copy over working directory and
will run scripts and [other instructions](https://cirrus-ci.org/guide/writing-tasks/#supported-instructions) inside the virtual machine:
```yaml
task:
name: hello
macos_instance:
# can be a remote or a local virtual machine
image: ghcr.io/cirruslabs/macos-monterey-base:latest
hello_script:
- echo "Hello from within a Tart VM!"
- echo "Here is my CPU info:"
- sysctl -n machdep.cpu.brand_string
- sleep 15
```
Put the above `.cirrus.yml` file in the root of your repository and run it with the following command:
```bash
brew install cirruslabs/cli/cirrus
cirrus run
```
![](/assets/images/TartCirrusCLI.gif)
[Cirrus CI](https://cirrus-ci.org/) already leverages Tart to power its macOS cloud infrastructure. The `.cirrus.yml`
config from above will just work in Cirrus CI and your tasks will be executed inside Tart VMs in our cloud.
**Note:** Cirrus CI only allows [images managed and regularly updated by us](https://github.com/orgs/cirruslabs/packages?tab=packages&q=macos).
## Retrieving artifacts from within Tart VMs
In many cases there is a need to retrieve particular files or a folder from within a Tart virtual machine.
For example, the below `.cirrus.yml` configuration defines a single task that builds a `tart` binary and
exposes it via [`artifacts` instruction](https://cirrus-ci.org/guide/writing-tasks/#artifacts-instruction):
```yaml
task:
name: Build
macos_instance:
image: ghcr.io/cirruslabs/macos-monterey-xcode:latest
build_script: swift build --product tart
binary_artifacts:
path: .build/debug/tart
```
Running Cirrus CLI with `--artifacts-dir` will write defined `artifacts` to the provided local directory on the host:
```bash
cirrus run --artifacts-dir artifacts
```
Note that all retrieved artifacts will be prefixed with the associated task name and `artifacts` instruction name.
For the example above, `tart` binary will be saved to `$PWD/artifacts/Build/binary/.build/debug/tart`.
+56
View File
@@ -0,0 +1,56 @@
---
hide:
- navigation
---
## How Tart is different from Anka?
Under the hood Tart is using the same technology as Anka 3.0 so there should be no real difference in performance
or features supported. If there is some feature missing please don't hesitate to [create a feature request](https://github.com/cirruslabs/tart/issues).
Instead of Anka Registry, Tart can work with any OCI-compatible container registry. This provides a much more consistent
and scalable experience for distributing virtual machines.
Tart doesn't yet have an analogue of Anka Controller for managing long living VMs but [soon will be](https://github.com/cirruslabs/tart/issues/372).
## VM location on disk
Tart stores all it's files in `~/.tart/` directory. Local images that you can run are stored in `~/.tart/vms/`.
Remote images are pulled into `~/.tart/cache/OCIs/`.
## Nested virtualization support?
Tart is limited by functionality of Apple's `Virtualization.Framework`. At the moment `Virtualization.Framework`
doesn't support nested virtualization.
## Connecting to a service running on host
To connect from within a virtual machine to a service running on the host machine
please first make sure that the service is binded to `0.0.0.0`.
Then from within a virtual machine you can access the service using the router's IP address that you can get either from `Preferences -> Network`
or by running the following command in the Terminal:
```bash
netstat -nr | grep default | head -n 1 | awk '{print $2}'
```
Note: that accessing host is only possible with the default NAT network. If you are running your virtual machines with
[Softnet](https://github.com/cirruslabs/softnet) (via `tart run --net-softnet <VM NAME>)`, then the network isolation
is stricter and it's not only possible to access the host.
## Changing the default NAT subnet
To change the default network to `192.168.77.1`:
```bash
sudo defaults write /Library/Preferences/SystemConfiguration/com.apple.vmnet.plist Shared_Net_Address -string 192.168.77.1
```
Note that even through a network would normally be specified as `192.168.77.0`, the [vmnet framework](https://developer.apple.com/documentation/vmnet) seems to treat this as a starting address too and refuses to pick up such network-like values.
The default subnet mask `255.255.255.0` should suffice for most use-cases, however, you can also change it to `255.255.0.0`, for example:
```bash
sudo defaults write /Library/Preferences/SystemConfiguration/com.apple.vmnet.plist Shared_Net_Mask -string 255.255.0.0
```
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---
hide:
- navigation
---
# GitHub Actions
Tart already powers several CI services mentioned above including our own [Cirrus CI](https://cirrus-ci.org/guide/macOS/) which offers unlimited concurrency with per-second billing.
For services that haven't leveraged Tart yet, we offer fully managed runners via a monthly subscription.
*Cirrus Runners* is the fastest way to get your current CI workflows to benefit from Apple Silicon hardware. No need to manage infrastructure or migrate to another CI provider.
## Configuring Cirrus Runners
Configuring Cirrus Runners for GitHub Actions is as simple as installing [Cirrus Runners App](https://github.com/apps/cirrus-runners).
After successful installation and subscription configuration, use any of [Ventura images managed by us](https://github.com/cirruslabs/macos-image-templates) in `runs-on`:
```yaml
name: Test Suite
jobs:
test:
runs-on: ghcr.io/cirruslabs/macos-ventura-xcode:latest
```
When workflows are executing you'll see Cirrus on-demand runners on your organization's settings page at `https://github.com/organizations/<ORGANIZATION>/settings/actions/runners`.
![](/assets/images/TartGHARunners.png)
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---
template: overrides/home.html
title: Tart
---
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---
hide:
- navigation
---
Try running a Tart VM on your Apple Silicon device running macOS 12.0 (Monterey) or later (will download a 25 GB image):
```bash
brew install cirruslabs/cli/tart
tart clone ghcr.io/cirruslabs/macos-ventura-base:latest ventura-base
tart run ventura-base
```
<p align="center">
<img src="https://github.com/cirruslabs/tart/raw/main/Resources/TartScreenshot.png"/>
</p>
## SSH access
If the guest VM is running and configured to accept incoming SSH connections you can conveniently connect to it like so:
```bash
ssh admin@$(tart ip macos-monterey-base)
```
## Mounting directories
To mount a directory, run the VM with the `--dir` argument:
```bash
tart run --dir=project:~/src/project vm
```
Here, the `project` specifies a mount name, whereas the `~/src/project` is a path to the host's directory to expose to the VM.
It is also possible to mount directories in read-only mode by adding a third parameter, `ro`:
```bash
tart run --dir=project:~/src/project:ro vm
```
To mount multiple directories, repeat the `--dir` argument for each directory:
```bash
tart run --dir=www1:~/project1/www --dir=www2:~/project2/www
```
Note that the first parameter in each `--dir` argument must be unique, otherwise only the last `--dir` argument using that name will be used.
Note: to use the directory mounting feature, the host needs to run macOS 13.0 (Ventura) or newer.
### Accessing mounted directories in macOS guests
All shared directories are automatically mounted to `/Volumes/My Shared Files` directory.
The directory we've mounted above will be accessible from the `/Volumes/My Shared Files/project` path inside a guest VM.
Note: to use the directory mounting feature, the guest VM needs to run macOS 13.0 (Ventura) or newer.
### Accessing mounted directories in Linux guests
To be able to access the shared directories from the Linux guest, you need to manually mount the virtual filesystem first:
```bash
mount -t virtiofs com.apple.virtio-fs.automount /mnt/shared
```
The directory we've mounted above will be accessible from the `/mnt/shared/project` path inside a guest VM.
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User-agent: *
Allow: *
Disallow:
Sitemap: https://tart.run/sitemap.xml
+34
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@@ -0,0 +1,34 @@
/* Remove default title on the page */
.md-content__inner h1:first-child {
display: none;
}
/* Adjust to 2px to align with the title */
.md-logo {
padding-top: 6px;
}
.btn {
border: none;
padding: 14px 28px;
cursor: pointer;
display: inline-block;
background: #009688;
color: white;
}
.btn:hover {
background: #00bfa5;
color: white;
}
.center {
display: block;
margin-left: auto;
margin-right: auto;
}
.text-center {
text-align: center;
}
+291
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@@ -0,0 +1,291 @@
.tx-container {
background: linear-gradient(
to bottom,
var(--md-primary-fg-color),
var(--md-default-bg-color) 100%
);
}
[data-md-color-scheme="slate"] .tx-container {
background: linear-gradient(
to bottom,
var(--md-primary-fg-color),
var(--md-default-bg-color) 100%
);
}
.tx-landing {
margin: 0 0.8rem;
color: var(--md-primary-bg-color);
}
.tx-landing__logos {
display: flex;
flex-direction: row;
flex-wrap: wrap;
justify-content: center;
}
.tx-landing__quote {
display: flex;
border-radius: 1em;
padding: 1em 1em 5em 1em;
text-align: center;
background: var(--md-primary-fg-color);
}
.tx-landing__quote blockquote {
border: 0;
color: #fff;
}
.tx-landing__quotes figure {
margin: 2em auto 2em auto;
}
.tx-landing__logos img {
height: 8vh;
max-height: 81px; /* max height of images */
width: auto;
margin: 2vh;
vertical-align: middle;
}
.tx-landing__quote a img {
height: 6vh;
max-height: 81px; /* max height of images */
display: block;
margin-left: auto;
margin-right: auto;
}
.tx-landing__content p a {
color: inherit;
text-decoration: underline;
}
.tx-landing__content p a:hover {
color: darkblue;
text-decoration: underline;
}
.tx-landing .md-button {
margin-top: 0.5rem;
margin-right: 0.5rem;
color: var(--md-primary-bg-color);
}
.tx-landing .md-button:hover,
.tx-landing .md-button:focus {
color: var(--md-default-bg-color);
background-color: var(--md-default-fg-color);
border-color: var(--md-default-fg-color);
}
.tx-landing__testimonials {
width: 100%;
text-align: center;
}
.tx-landing h1 {
margin-bottom: 1rem;
color: currentColor;
font-weight: 700;
}
.md-typeset h2 + h3 {
font-size: 1em;
margin-top: -0.8em;
}
.md-typeset figure {
display: flex;
}
.md-content header {
display: block;
}
.mdx-spotlight {
margin: 2em 0;
}
.mdx-spotlight__feature {
display: flex;
flex: 1 0 48%;
flex-flow: row nowrap;
gap: 3.2rem;
margin: 0 0 3.2rem;
}
.mdx-spotlight__feature:last-child {
margin-bottom: 1em;
}
.mdx-spotlight__feature > img {
display: block;
flex-shrink: 0;
border-radius: 0.2rem;
box-shadow: var(--md-shadow-z2);
width: 25rem;
max-width: 100%;
}
.mdx-spotlight__feature figcaption {
margin-top: 0.8rem;
}
.mdx-parallax__group {
background-color: var(--md-default-bg-color);
color: var(--md-typeset-color);
display: block;
position: relative;
transform-style: preserve-3d;
}
.mdx-parallax__group:first-child {
background-color: initial;
contain: strict;
height: 140vh;
}
.mdx-parallax__group:last-child {
background-color: var(--md-default-bg-color);
}
.mdx-users {
display: flex;
gap: 3.2rem;
margin: 2.4rem 0;
}
.mdx-users__testimonial {
display: flex;
flex: 1;
flex-direction: column;
gap: 1.2rem;
margin: 0;
text-align: center;
}
.mdx-users__testimonial img {
border-radius: 5rem;
height: auto;
margin-left: auto;
margin-right: auto;
width: 10rem;
}
.mdx-users__testimonial figcaption {
display: block;
}
.mdx-users__testimonial hr {
margin-left: auto;
margin-right: auto;
width: 5rem;
}
.mdx-users__testimonial cite {
display: block;
-webkit-hyphens: auto;
hyphens: auto;
text-align: justify;
}
/* General media */
@media screen and (max-width: 30em) {
.tx-landing h1 {
font-size: 1.4rem;
}
}
@media screen and (max-width: 59.9375em) {
.mdx-spotlight__feature {
flex-direction: column;
gap: 0;
}
.mdx-spotlight__feature > img {
margin-left: auto;
margin-right: auto;
height: auto;
}
.mdx-users {
flex-direction: column;
}
/* Reset one padding between sections */
.md-content__inner-testimonials {
padding: 0px 0px 2.2rem !important;
}
}
@media screen and (min-width: 60em) {
.tx-container {
padding-bottom: 7vw;
}
.tx-landing {
display: flex;
align-items: stretch;
height: 85%;
}
.tx-landing__content {
align-self: center;
max-width: 19rem;
margin-top: 3.5rem;
}
.tx-landing__image {
order: 1;
width: 38rem;
}
.tx-landing__quotes {
margin: 1em 5em;
}
.mdx-spotlight__feature:nth-child(odd) {
flex-direction: row-reverse;
}
}
/* Extra media for .mdx-parallax__group:first-child */
@media (min-width: 125vh) {
.mdx-parallax__group:first-child {
height: 120vw;
}
}
@media (min-width: 137.5vh) {
.mdx-parallax__group:first-child {
height: 125vw;
}
}
@media (min-width: 150vh) {
.mdx-parallax__group:first-child {
height: 130vw;
}
}
@media (min-width: 162.5vh) {
.mdx-parallax__group:first-child {
height: 135vw;
}
}
@media (min-width: 175vh) {
.mdx-parallax__group:first-child {
height: 140vw;
}
}
@media (min-width: 187.5vh) {
.mdx-parallax__group:first-child {
height: 145vw;
}
}
@media (min-width: 200vh) {
.mdx-parallax__group:first-child {
height: 150vw;
}
}
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{% extends "base.html" %}
<!-- Render landing page under tabs -->
{% block tabs %} {{ super() }}
<!-- Additional styles for landing page -->
<style>
body {
overflow-x: hidden;
}
.md-content__inner {
margin-bottom: 0;
padding: 2.2rem 0;
}
.md-content__inner:before {
display: none;
}
/* Application header should be static for the landing page */
.md-header {
position: initial;
}
/* Remove spacing, as we cannot hide it completely */
.md-main__inner {
margin: 0;
}
/* Hide sidebar, preventing unnecessary margins on the page */
.md-main__inner > .md-content,
.md-main__inner > .md-sidebar--secondary {
display: none;
}
/* Prevent removing default title on the page */
.md-content__inner h1:first-child {
display: block;
}
.tx-landing__image {
margin-top: 45px;
}
/* Prevent layout shift after image loading */
.tx-landing__image dotlottie-player {
aspect-ratio: 1.66;
}
@media (max-width: 959px) {
.tx-landing__image {
margin-bottom: 10px;
}
}
@media (max-width: 600px) {
.md-typeset .headerlink {
display: none;
}
}
/* Hide table of contents */
@media screen and (min-width: 60em) {
.md-sidebar--secondary {
display: none;
}
}
/* Hide navigation */
@media screen and (min-width: 76.25em) {
.md-sidebar--primary {
display: none;
}
}
</style>
<!-- landing page for landing page -->
<!-- Hero -->
<section class="tx-container">
<div class="md-grid md-typeset">
<div class="tx-landing">
<!-- landing image -->
<div class="tx-landing__image">
<script src="https://unpkg.com/@dotlottie/player-component@latest/dist/dotlottie-player.js"></script>
<dotlottie-player
src="/assets/animations/TartLogo.lottie"
mode="normal"
style="width: 75%; margin: auto"
autoplay
/>
</div>
<!-- landing content -->
<div class="tx-landing__content">
<h2>
<strong>Tart</strong> is a virtualization toolset to build, run and
manage <i>macOS</i> and <i>Linux</i> virtual machines on
<i>Apple Silicon.</i>
</h2>
<a href="/quick-start" title="Quick Start" class="md-button">
Learn More
</a>
</div>
</div>
</div>
</section>
<!-- Spotlights -->
<section class="mdx-parallax__group" data-md-color-scheme="default">
<div class="md-content md-grid" data-md-component="content">
<div class="md-content__inner">
<header class="md-typeset">
<h1 id="virtualization-and-beyond">
Virtualization and beyond
<a
href="#virtualization-and-beyond"
class="headerlink"
title="Permanent link"
>
</a>
</h1>
</header>
<div class="mdx-spotlight">
<figure class="mdx-spotlight__feature">
<img
src="assets/images/spotlight/virtualization-framework.png"
alt="Apple’s native Virtualization.Framework"
loading="lazy"
width="500"
height="212"
/>
<figcaption class="md-typeset">
<h2>Native performance</h2>
<p>
Tart is&nbsp;using Apple&rsquo;s native
<i>Virtualization.Framework</i> that was developed along with
architecting the first M1&nbsp;chip. This seamless integration
between hardware and software ensures smooth performance without
any drawbacks.
</p>
</figcaption>
</figure>
<figure class="mdx-spotlight__feature">
<img
src="assets/images/spotlight/supported-registries.png"
alt="OCI-compatible container registries"
loading="lazy"
width="500"
height="160"
/>
<figcaption class="md-typeset">
<p>
For storing virtual machine images Tart integrates with
OCI-compatible container registries. Work with virtual machines as
you used to&nbsp;with Docker containers.
</p>
</figcaption>
</figure>
<figure class="mdx-spotlight__feature">
<img
src="assets/images/spotlight/github-actions runners.png"
alt="GitHub Actions Runners"
loading="lazy"
width="500"
height="280"
/>
<figcaption class="md-typeset">
<p>
Tart powers several continuous integration systems including
<a href="/github-actions"
>on&#8209;demand GitHub Actions Runners</a
>
and
<a href="https://cirrus-ci.org/guide/macOS/" target="_blank"
>Cirrus&nbsp;CI</a
>. Double the performance of&nbsp;your macOS actions with
a&nbsp;couple lines of&nbsp;code.
</p>
</figcaption>
</figure>
</div>
</div>
</div>
</section>
<!-- Testimonials -->
<section class="mdx-parallax__group" data-md-color-scheme="default">
<div class="md-content md-grid" data-md-component="content">
<div class="md-content__inner md-content__inner-testimonials">
<header class="md-typeset">
<h1 id="what-our-users-say">
What our users say
<a
href="#what-our-users-say"
class="headerlink"
title="Permanent link"
>
</a>
</h1>
</header>
<div class="mdx-users">
<figure class="mdx-users__testimonial">
<img
src="assets/images/users/seb-jachec.jpg"
alt="Sebastian Jachec"
loading="lazy"
width="200"
height="200"
/>
<figcaption class="md-typeset">
<h2>Sebastian Jachec</h2>
<h3>
Mobile Engineer at
<a href="https://daybridge.com/" target="_blank">Daybridge</a>
</h3>
<hr />
<cite>
It&rsquo;s been plain-sailing with the
<a href="/github-actions">Cirrus Runners</a>&nbsp;&mdash;
they&rsquo;ve been great! They&rsquo;re consistently&nbsp;60+%
faster on&nbsp;workflows that we&nbsp;previously used Github
Actions&rsquo; macOS runners for.
</cite>
</figcaption>
</figure>
<figure class="mdx-users__testimonial">
<img
src="assets/images/users/mikhail-tokarev.jpeg"
alt="Mikhail Tokarev"
loading="lazy"
width="200"
height="200"
/>
<figcaption class="md-typeset">
<h2>Mikhail Tokarev</h2>
<h3>
CTO at
<a href="https://codemagic.io/start/" target="_blank"
>Codemagic</a
>
</h3>
<hr />
<cite>
Thanks to the minimal overhead of using the Apple Virtualization
API, we’ve seen some performance improvements in booting new
virtual machines compared with Anka.
</cite>
</figcaption>
</figure>
<figure class="mdx-users__testimonial">
<img
src="assets/images/users/max-lapides.jpeg"
alt="Max Lapides"
loading="lazy"
width="200"
height="200"
/>
<figcaption class="md-typeset">
<h2>Max Lapides</h2>
<h3>
Senior Mobile Engineer at
<a href="https://www.tonal.com/" target="_blank">Tonal</a>
</h3>
<hr />
<cite>
Previously, we were using the GitHub&#8209;hosted macOS runners
and our iOS build took ~30&nbsp;minutes. Now with
<a href="/github-actions">Cirrus Runners</a>, the iOS build only
takes ~12&nbsp;minutes. That’s a huge boost to our productivity,
and for only $150/month per runner it is much less expensive too.
</cite>
</figcaption>
</figure>
</div>
</div>
</div>
</section>
{% endblock %}
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---
hide:
- navigation
---
# Managing Virtual Machine
## Creating from scratch
Tart supports macOS and Linux virtual machines. All commands like `run` and `pull` work the same way regarding of the underlying OS a particular VM image has.
The only difference is how such VM images are created. Please check sections below for [macOS](#creating-a-macos-vm-image-from-scratch) and [Linux](#creating-a-linux-vm-image-from-scratch) instructions.
### Creating a macOS VM image from scratch
Tart can create VMs from `*.ipsw` files. You can download a specific `*.ipsw` file [here](https://ipsw.me/) or you can
use `latest` instead of a path to `*.ipsw` to download the latest available version:
```bash
tart create --from-ipsw=latest monterey-vanilla
tart run monterey-vanilla
```
After the initial booting of the VM you'll need to manually go through the macOS installation process. As a convention we recommend creating an `admin` user with an `admin` password. After the regular installation please do some additional modifications in the VM:
1. Enable Auto-Login. Users & Groups -> Login Options -> Automatic login -> admin.
2. Allow SSH. Sharing -> Remote Login
3. Disable Lock Screen. Preferences -> Lock Screen -> disable "Require Password" after 5.
4. Disable Screen Saver.
5. Run `sudo visudo` in Terminal, find `%admin ALL=(ALL) ALL` add `admin ALL=(ALL) NOPASSWD: ALL` to allow sudo without a password.
### Creating a Linux VM image from scratch
Linux VMs are supported on hosts running macOS 13.0 (Ventura) or newer.
```bash
# Create a bare VM
tart create --linux ubuntu
# Install Ubuntu
tart run --disk focal-desktop-arm64.iso ubuntu
# Run VM
tart run ubuntu
```
After the initial setup please make sure your VM can be SSH-ed into by running the following commands inside your VM:
```bash
sudo apt update
sudo apt install -y openssh-server
sudo ufw allow ssh
```
## Configuring a VM
By default, a tart VM uses 2 CPUs and 4 GB of memory with a `1024x768` display. This can be changed with `tart set` command.
Please refer to `tart set --help` for additional details.
## Building with Packer
Please refer to [Tart Packer Plugin repository](https://github.com/cirruslabs/packer-plugin-tart) for setup instructions.
Here is an example of a template to build `monterey-base` local image based of a remote image:
```hcl
packer {
required_plugins {
tart = {
version = ">= 0.5.3"
source = "github.com/cirruslabs/tart"
}
}
}
source "tart-cli" "tart" {
vm_base_name = "ghcr.io/cirruslabs/macos-ventura-base:latest"
vm_name = "my-custom-ventura"
cpu_count = 4
memory_gb = 8
disk_size_gb = 70
ssh_password = "admin"
ssh_timeout = "120s"
ssh_username = "admin"
}
build {
sources = ["source.tart-cli.tart"]
provisioner "shell" {
inline = ["echo 'Disabling spotlight indexing...'", "sudo mdutil -a -i off"]
}
# more provisioners
}
```
Here is a [repository with Packer templates](https://github.com/cirruslabs/macos-image-templates) used to build [all the images managed by us](https://github.com/orgs/cirruslabs/packages?tab=packages&q=macos).
## Working with a Remote OCI Container Registry
For example, let's say you want to push/pull images to a registry hosted at https://acme.io/.
### Registry Authorization
First, you need to log in and save credential for `acme.io` host via `tart login` command:
```bash
tart login acme.io
```
Credentials are securely stored in Keychain.
In addition, Tart supports [Docker credential helpers](https://docs.docker.com/engine/reference/commandline/login/#credential-helpers)
if defined in `~/.docker/config.json`.
Finally, `TART_REGISTRY_USERNAME` and `TART_REGISTRY_PASSWORD` environment variables allow to override authorization
for all registries which might useful for integrating with your CI's secret management.
### Pushing a Local Image
Once credentials are saved for `acme.io`, run the following command to push a local images remotely with two tags:
```bash
tart push my-local-vm-name acme.io/remoteorg/name:latest acme.io/remoteorg/name:v1.0.0
```
### Pulling a Remote Image
You can either pull an image:
```bash
tart pull acme.io/remoteorg/name:latest
```
...or instantiate a VM from a remote image:
```bash
tart clone acme.io/remoteorg/name:latest my-local-vm-name
```
This invocation calls the `tart pull` implicitly (if the image is not being present) before doing the actual cloning.
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repo_url: https://github.com/cirruslabs/tart/
site_url: https://tart.run/
edit_uri: blob/main/docs/
site_name: Tart
site_author: Cirrus Labs
copyright: © Cirrus Labs 2017-present
site_description: >
Tart is a virtualization toolset to build, run and manage macOS and Linux virtual machines (VMs) on Apple Silicon.
Built by CI engineers for your automation needs.
remote_branch: main
theme:
name: 'material'
custom_dir: 'docs/theme'
favicon: 'assets/images/favicon.ico'
logo: 'assets/images/TartLogo.png'
icon:
repo: fontawesome/brands/github
language: en
palette:
- scheme: default
primary: orange
accent: orange
font:
text: Roboto
code: Roboto Mono
features:
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- content.code.copy
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- 'stylesheets/landing.css'
plugins:
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markdown_extensions:
- markdown.extensions.admonition
- markdown.extensions.codehilite:
guess_lang: false
- markdown.extensions.def_list
- markdown.extensions.footnotes
- markdown.extensions.meta
- markdown.extensions.toc:
permalink: true
- pymdownx.arithmatex
- pymdownx.betterem:
smart_enable: all
- pymdownx.caret
- pymdownx.critic
- pymdownx.details
- pymdownx.emoji:
emoji_generator: !!python/name:pymdownx.emoji.to_svg
- pymdownx.highlight:
anchor_linenums: true
- pymdownx.inlinehilite
- pymdownx.snippets
- pymdownx.superfences
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- pymdownx.tilde
nav:
- "Home": index.md
- "Quick Start": quick-start.md
- "GitHub Actions": github-actions.md
- "Self-hosted CI": cirrus-cli.md
- "Managing VMs": vm-management.md
- "FAQ": faq.md
extra:
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provider: google
property: G-HXBEB9D47X
consent:
title: Cookie consent
description: >-
We use cookies to recognize your repeated visits and preferences, as well
as to measure the effectiveness of our documentation and whether users
find what they're searching for. With your consent, you're helping us to
make our documentation better.
social:
- icon: fontawesome/brands/twitter
link: 'https://twitter.com/cirrus_labs'