diff --git a/README.md b/README.md
index 8adab81..3c7b882 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@ service — a drop-in replacement for the standard GitHub-hosted runners, offeri
-Many companies are using Tart in their internal setups. Here are a few of them:
+Many companies are using Tart in their internal setups. Here are just a few of them:
**Note:** If your company or project is using Tart please consider [sharing with the community](https://github.com/cirruslabs/tart/discussions/857).
diff --git a/Resources/Users/Expo.png b/Resources/Users/Expo.png
new file mode 100644
index 0000000..9409684
Binary files /dev/null and b/Resources/Users/Expo.png differ
diff --git a/docs/assets/images/users/expo.webp b/docs/assets/images/users/expo.webp
new file mode 100644
index 0000000..e5bcb99
Binary files /dev/null and b/docs/assets/images/users/expo.webp differ
diff --git a/docs/assets/images/users/snowflake.webp b/docs/assets/images/users/snowflake.webp
new file mode 100644
index 0000000..07a2287
Binary files /dev/null and b/docs/assets/images/users/snowflake.webp differ
diff --git a/docs/theme/overrides/home.html b/docs/theme/overrides/home.html
index bf7bed3..09d0d0c 100644
--- a/docs/theme/overrides/home.html
+++ b/docs/theme/overrides/home.html
@@ -85,10 +85,10 @@
@@ -114,10 +114,9 @@
Virtualization and beyond
-
¶
@@ -125,12 +124,11 @@
-
Native performance
@@ -144,12 +142,11 @@
-
Remote storage for Virtual Machines
@@ -161,39 +158,39 @@
-
Seamless integration with your existing automations
Tart integrates with many continuous integration systems, including a dedicated
service of on-demand GitHub Actions Runners. With a single line change, you can cut your
- CI/CD costs by up to 30 times by using Cirrus Runners
+ CI/CD costs by up to 30 times by using Cirrus
+ Runners
to run your workflows.
- Tart toolset includes Orchard Orchestration — tool to run and manage Tart virtual machines
- at scale on a cluster of Apple Silicon hosts. An Orchard Cluster exposes a simple REST API to manage
- thousands virtual machines. Orchard CLI allows accessing remote virtual machines like they run locally.
+ Tart toolset includes Orchard Orchestration — tool to run and manage Tart virtual
+ machines at scale on a cluster of Apple Silicon hosts. An Orchard Cluster exposes a simple REST API to
+ manage thousands virtual machines. Orchard CLI allows accessing remote virtual machines like they run
+ locally.
- With more than 25,000 installations to date, Tart has been adopted for various scenarios.
+ With more than 25,000 installations to date, Tart has been
+ adopted for various scenarios.
Its applications range from powering CI/CD pipelines and reproducible local development environments,
to helping in the testing of device management systems without actual physical devices.
- I've been using "Cirrus Runners" since that tweet and
- it has been fantastic. Huge speed increase, huge cost decrease, zero maintenance, exactly what I wanted.
+ 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.
-
-
Sebastian Jachec
- Mobile Engineer at
- Daybridge
+ Infrastructure Team at Expo
- It’s been plain-sailing with the
- Cirrus Runners —
- they’ve been great! They’re consistently 60+%
- faster on workflows that we previously used Github
- Actions’ macOS runners for.
+ Tart was the practical way for us to use the Virtualization framework. Cirrus Labs’
+ continued maintenance and support gives us confidence, and it is also important for us
+ to be able to read the source code when we need to understand an abstraction layer below.
-
-
Max Lapides
- Senior Mobile Engineer at
- Tonal
+ Red Team at Snowflake
- Previously, we were using the GitHub‑hosted macOS runners
- and our iOS build took ~30 minutes. Now with
- Cirrus Runners, the iOS build only
- takes ~12 minutes. That’s a huge boost to our productivity,
- and for only $150/month per runner it is much less expensive too.
+ The Snowflake Red Team had a need for macOS CI/CD and a segmented macOS development
+ environment. We solved this problem and shared our implementation with macOS EC2 and Tart.
+ We also automated this process with Terraform/Packer to simplify the deployment of our
+ infrastructure and machine images.