Production-ready — $49 one-time

Axiom Module: Retry Policy Kit (.NET + Polly)

Production-ready resilience patterns for .NET applications using Polly.

Production-ready retry policy templates with exponential backoff, jitter, circuit breakers, and timeout strategies for .NET applications using Polly. Full source code, test suite, and documentation.

MIT License|Full source code|One-time purchase|No subscription
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Axiom Module: Retry Policy Kit (.NET + Polly)

.NET 8+ \u2022 2025-12-01

6

Policy Types

.NET

Platform

MIT

License

PatternsRetry, CB, timeout, bulkhead
TestingFull xUnit suite
DeliveryNuGet + source
Requirements
.NET 8+Polly 8+Visual Studio 2022 / Rider
The Hard Truth

Uncontrolled retries cascade into production outages

A single upstream hiccup triggers a retry storm saturating connection pools
Exponential backoff without jitter = thundering herd on recovery
Circuit breakers without half-open recovery never heal
Missing timeouts cause a 200 ms blip to become 15-minute degradation
The Better Way

Ship in hours, not months

Battle-tested Polly policies for every resilience pattern. Exponential backoff with full jitter, circuit breaker with half-open recovery, timeout with cooperative cancellation, bulkhead isolation. Each policy documented, unit tested, wired into common pipelines. Copy, configure, deploy.

What You Receive

Full C# source code (MIT)
Exponential backoff with full jitter
Circuit breaker policy
Timeout policies
Bulkhead isolation
Policy combinators
xUnit test suite
XML documentation + README
Configuration guide
NuGet package ready

Typical Workflow

1

Install

NuGet package, Polly 8+ dependency

2

Configure

Retry count, backoff, thresholds

3

Wire

Attach to HttpClient or service calls

4

Monitor

Structured logs, tune from data

Key Capabilities

Exponential Backoff with Jitter

Full jitter strategy. Configurable retry count, median delay, and max delay. Zero correlation across concurrent callers

Expected OutcomeEliminate thundering herd on recovery — no correlated retries
Real-World Use CaseAfter a 30-second Redis outage, 500 callers retry at different times. No spike, no secondary failure

Circuit Breaker

Configurable failure count threshold, break duration, half-open probe interval. Automatic transition through Closed→Open→Half-Open→Closed

Expected OutcomeStop wasting resources on known-broken dependencies. Let services recover before retrying
Real-World Use CasePayment gateway returns 503 for 5 consecutive calls. Circuit opens for 30s, probes once, closes on first success

Timeout + Cancellation

Per-call and per-attempt timeout policies with cooperative CancellationToken support. Separate optimistic and pessimistic timeouts

Expected OutcomeA single slow dependency cannot hold up your entire request pipeline
Real-World Use CaseSet per-call timeout to 5s, per-attempt to 2s. After 2s, cancel and try next attempt. After 5s total, return fallback

Policy Combinators

Chain RetryPolicy + CircuitBreakerPolicy + TimeoutPolicy into a single resilience pipeline. Wrap any async operation with one line

Expected OutcomeBuild complex resilience strategies from simple, individually testable building blocks
Real-World Use CasepolicyWrap.ExecuteAsync(() => httpClient.GetAsync(url)) handles retry, circuit breaker, and timeout in one call

Ideal Users

.NET Developers

Drop proven Polly policies: retry, circuit breaker, timeout, bulkhead

DevOps / SRE

Eliminate retry-storm incidents with properly configured resilience patterns

SaaS Teams

Standardize resilience across microservices with documented policy pipelines

What Developers Say

I've been running trading bots for two years and this is the first time I actually understand what -1021 means. The error lookup tool turned a 30-minute debugging session into 30 seconds.

Marcus T.

Independent Crypto Trader

The timestamp drift checker caught an issue we'd been blaming on exchange problems for weeks. Turned out our NTP config was wrong — 10 minutes to diagnose what we'd been fighting for a month.

Jordan S.

DevOps Lead, Crypto Trading Firm

Finally someone who writes about .NET resilience without glossing over the hard parts. The depth in these articles is what made me confident enough to refactor our retry logic.

Priya K.

Software Engineer, Enterprise SaaS