Agentic AI delivery is a software delivery model where autonomous agents execute development tasks inside a governed software development lifecycle (SDLC), operating within architectural guardrails, dependency-ordered backlogs, and test-gated workflows. In Part 1 and Part 2 of this series, we introduced agentic AI delivery as an enterprise software delivery model and explored how governed, autonomous execution can operate within a …
See how Keyhole implemented agentic AI development using an autonomous delivery loop to build a full-stack application in 19 test-gated iterations. This real reference implementation demonstrates how autonomous agents can operate inside a governed enterprise SDLC with architectural guardrails, commit-level traceability, and test-validated delivery.
Learn how to use Amazon S3 manifests to safely reprocess millions of S3 objects at scale without data ambiguity or production incidents. As consultants, we operate in the realm of clients with mature systems. One of the most common places for those systems is AWS. Amazonโs S3 (Simple Storage Service) remains one of the most popular enterprise storage solutions. Letโs …
Agentic AI software development is an enterprise delivery model where autonomous agents execute backlog-driven implementation inside architectural guardrails, test-gated quality controls, and a fully traceable SDLC. Learn how agentic AI software development transforms the enterprise SDLC with autonomous execution, test-gated quality, full traceability, and architect-led governance.
A retry storm occurs when large numbers of client applications retry failed requests simultaneously, spawning additional traffic that overwhelms already unstable systems.
While much of outage prevention rightly focuses on backend systemsโload balancers, API gateways, circuit breakers, and queuesโclient-side retry policies play a critical but often overlooked role in system resiliency. Preventing retry storms requires treating client-side retry behavior as a core part of system resiliency.
In this article, weโll explore how retry storms form, how client applications unintentionally amplify traffic, and what development teams can do to implement safer, smarter retry behavior.