Axiom .NET Rescue
Axiom .NET Rescue is a reliability kit for production services. It gives you safe timeout budgets, retry defaults, observability fields, and runbooks so incidents stop repeating.
Timeout budgets, retry caps, and stop rules that keep services responsive under incident load.
Telemetry fields and decision logs so you can prove what failed and how the policy responded.
When something breaks, you get a checklist and decision path — not a mystery.
The problem Axiom .NET Rescue solves
Most incidents in .NET services come from unsafe retries and unbounded waits: thread pool starvation, retry storms, and logs that never explain what happened.
- Timeouts that capture threads and stall queues
- Retry storms that amplify dependency failures
- “It failed” with no policy trace or decision log
What you get (Axiom .NET Rescue Core)
- Timeouts First Pack: budgets, cancellation propagation, and total time caps
- Retry Policy Kit: backoff + jitter defaults, caps, stop rules, and guardrailsAvailable
- Observability Pack: structured retry/timeout logging fields
Pricing (planned)
Pricing stays intentionally simple: a one-time purchase for Core, with optional monthly updates and optional rescue packs. Waitlist members get the first offer.
See details in Pricing.
Get launch access
Join the waitlist to get the first release, pricing, and shipped assets.
- Timeout budgets + cancellation defaults
- Retry caps + stop rules
- Telemetry fields + runbooks
Pricing (planned)
These are rough ranges so you can decide quickly. Exact pricing may shift at launch, but the structure stays simple.
Best for teams that want safe defaults and clear visibility without hiring a consultant.
For ongoing runbooks, new failure-mode templates, and refinements based on real incidents.
Extra patterns and runbooks for specific failure modes.
FAQ
No. It covers services, workers, and background jobs that depend on HTTP, SQL, and queues.
No. You get downloads: templates, policies, and runbooks you can adopt in any codebase.
It helps standardize defaults and avoids repeat incidents.