Releasesby IbisTailscale container image v1.104.1
UpdateyesterdayUnverifiedAdded Oct 14, 2026
A new release of the Tailscale container image is available. You can download it from Docker Hub or from our GitHub packages repository . This version contains no changes except for library updates.
More Tailscale releases
Every Tailscale releaseTailscale Kubernetes Operator v1.104.1
A new release of the Tailscale Kubernetes Operator is available. For guidance on installing and updating, refer to our installation instructions . New: Ingress ProxyGroups can share a single persistent Let's Encrypt account key per tailnet to ensure certificate renewals keep their exemption from Let's Encrypt rate limits .
Device Posture Monitoring and Alerts
Configure monitoring and alerts for device posture (beta) to help admins and end-users diagnose connectivity problems caused by failing posture. New: Badges can be shown on the Machines page of the admin console when a device is failing a posture (beta) . New: The Failing Posture filter on the Machines page shows devices that are failing selected postures.
Tailscale v1.104.1
All Platforms Changed: WireGuard packet buffering uses less memory while waiting for peer handshakes. Changed: WireGuard packet queue depth scales with CPU core count, reducing peak memory usage under heavy traffic. Linux New: Client-side netmap caching improves start up speed and connectivity when the Tailscale control plane is unreachable.
Tailscale 1.104.1
Please refer to the changelog available at https://tailscale.com/changelog
Declarative node sharing
- New: Declarative node sharing lets tailnet admins use policy to securely share resources between trusted tailnets ( alpha ).
Tailscale v1.102.5
Linux Fixed: The client no longer stops tailscaled when it falls behind on status updates and the connection is closed, which was common on large tailnets. It reconnects instead, and exits only if it cannot reconnect within one minute.
Tailscale 1.102.5
Please refer to the changelog available at https://tailscale.com/changelog
Tailscale PAM
- Changed: The PAM web client at my.tailscale.com runs as a single browser-based Tailscale device that is shared across all of your browser tabs. After authenticating once, connecting to a service in a new tab no longer requires you to reauthenticate for every subsequent connection.
Also shipped on Oct 13, 2026
Tailscale in October 2026What's included:
- Three training methods: Supervised fine-tuning (SFT) , direct preference optimization (DPO) , and reinforcement learning with group relative policy optimization (GRPO) . Each method trains a low-rank adapter (LoRA) or the full model weights. Custom loss functions : Train with any objective you compute in PyTorch from the model's log-probabilities.
The AI.AGG function is generally available (GA)
The AI.AGG function is generally available (GA). You can use this function to semantically aggregate unstructured input data based on natural language instructions.
BigQuery generative AI functions now support the gemini-4-argon model
BigQuery generative AI functions now support the gemini-4-argon model. This model is generally available .
Gemini 4 Argon in CodeMender (Preview)
CodeMender now supports Gemini 4 Argon. To use it, pass --model gemini-4-argon to cm find , cm verify , or cm fix . Gemini 3.8 Flash remains the default model. For more information, see Specifying the model .
Gemini 4 Argon and Gemini 4 Argon Cyber Permissive
Gemini 4 Argon ( gemini-4-argon ) is available in General Availability (GA) . Gemini 4 Argon is Google's frontier model that excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science.
On-demand state repartitioning is now generally available
On-demand state repartitioning is now generally available. You can resize the number of shuffle partitions for a stateful Structured Streaming query or Lakeflow pipeline without losing checkpoint state. See On-demand state repartitioning for stateful streaming queries .