What is included in the Commercial License?

Every purchase grants a non-exclusive, perpetual commercial license: use, embed and integrate the code into unlimited personal, client or SaaS projects — no royalties, no attribution. You may not resell, redistribute, sub-license or publicly share the raw source code as a standalone product.

How do I receive code updates and ZIP downloads?

Right after checkout you receive a secure download link by email with the full ZIP — main.py, requirements.txt and a README. All future updates of that asset are free forever and delivered through the same link.

Can I integrate these utilities into client or commercial projects?

Yes — that is exactly what they are built for. Drop the code into client work, internal tools or your own commercial products. No seat limits, no per-project fees, no lock-in.

What is the refund and support policy?

All sales are final: due to the immediate nature of digital source-code delivery, purchases are non-refundable once files are delivered. Support is always available — we reply within 24 hours on business days via the support form or email.

Hardening Distributed Python Systems with ChaosProxy

Most distributed systems work fine under nominal network conditions. But once latency spikes or upstream HTTP APIs start throwing random 502s, standard exception handling often collapses. ChaosProxy acts as a middleware and sidecar layer to intentionally stress-test these boundary conditions.

How ChaosProxy Fits Into Your Architecture

By positioning ChaosProxy between your Python services and third-party APIs or internal microservices, you intercept outgoing traffic. You configure declarative rules for packet drops, artificial jitter, and forced status code responses without altering application code.

Declarative Failure Injection

ChaosProxy exposes a clean Python API for configuring dynamic failure rules during integration tests or continuous resilience pipelines.

python

from chaosproxy import ChaosProxy, LatencyRule, FailureRule

# Initialize local proxy targeting an upstream API
proxy = ChaosProxy(target_url="https://api.payment-gateway.com", port=8080)

# Inject 1500ms latency to 30% of requests
proxy.add_rule(LatencyRule(delay_ms=1500, probability=0.30))

# Force HTTP 503 Service Unavailable on POST /v1/charges (10% rate)
proxy.add_rule(FailureRule(
    method="POST",
    path_pattern="/v1/charges",
    status_code=503,
    probability=0.10
))

proxy.start()

Automating Resilience in CI/CD

Integrating failure injection directly into pytest suites ensures that fallback strategies, retry mechanisms, and circuit breakers are validated automatically on every pull request.