Powerful, AI-driven automation makes MultiTool Canary the ideal choice for fast, reliable canary deployments.
MultiTool Canary autonomously promotes or blocks releases based on real-time metrics, using advanced statistical analysis to provide risk-free deployment confidence.
MultiTool’s AI agent gradually ramps up traffic to the canary, using performance and correctness metrics to quantify confidence. Achieve stable scaling without user impact.
By building and comparing models of production error rates, MultiTool Canary identifies performance drift and blocks problematic releases, limiting service disruption for users
Receive clear insights on every deployment decision with detailed, actionable reports. MultiTool Canary provides transparency and context, so you can trust the “why” behind each promotion or rollback decision.
MultiTool Canary is built for teams who prioritize innovation and stability and offers a future-ready solution to complex deployment challenges.
With agentic automation, you can move faster without sacrificing reliability. MultiTool Canary takes over the repetitive task of log monitoring and release management, allowing engineers to focus on strategic, high-value work.
At a fraction of the cost of a human operator, MultiTool Canary delivers around-the-clock, AI-driven monitoring. Enjoy continuous deployment confidence without the added overhead of manual oversight.
MultiTool Canary supports advanced deployment techniques like ring deployments and fault localization, providing proactive protection for your production environment.
With clear, data-backed insights for every deployment decision, MultiTool Canary gives you unmatched visibility into the release process. Know exactly why a release is promoted or retracted and trust your deployments like never before.
MultiTool Canary is just one of the "platform primitives" for MultiTool, the world's first Platform as Code (PaC) engine. With PaC, you get advanced deployment techniques like self-promoting Canaries out of the box, for any platform on any cloud, ring deployments, anomaly detection, and fault localization.
