AWS Step Functions + AI: Smarter Orchestration in Modern Applications
(Mon, 02 Mar 2026)
In the current landscape of software development, the integration of Artificial Intelligence (AI) and Machine Learning
(ML) is no longer a luxury — it is a core requirement for staying competitive. However, the true challenge has shifted from simply building a model to orchestrating complex, multi-step AI
workflows that are resilient, scalable, and maintainable. This is where AWS Step Functions emerges as a critical tool in the modern architect's toolkit.
AWS Step Functions is a low-code, visual workflow service that allows developers to link various AWS services into a cohesive state machine. When combined with generative AI (GenAI) and large
language models (LLMs), it provides the structured "brain" necessary to manage the non-deterministic nature of AI outputs, handle long-running processes, and ensure that failures in one part of a
chain do not bring down the entire system.
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Idempotency in AI Tools: The Most Expensive Thing Teams Forget
(Mon, 02 Mar 2026)
When AI tools move from a test environment to real-world use, the first “surprise” a developer encounters is rarely about accuracy. It’s usually something more problematic: the system behaves
inconsistently, costs climb faster than expected, and the same job seems to run multiple times.
That’s not an AI problem. That’s a distributed systems problem. And in AI systems, this particular failure is extra problematic because every duplicate run has a direct dollar value impact.
Idempotency is the fix. Not the only fix, but often the most impactful one.
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Why Your "Stateless" Services Are Lying to You
(Mon, 02 Mar 2026)
The architecture diagram shows clean rectangles. "Stateless API tier," someone wrote in Lucidchart, then drew an arrow to a managed database. The presentation went well. Everyone nodded. Six
months later, after the third incident where a rolling deployment dropped active uploads and the on-call engineer spent two hours discovering that session affinity was secretly enabled in the
load balancer config — that's when you realize the diagram lied.
Not maliciously. But comprehensively.
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5 Security Considerations for Deploying AI on Edge Devices
(Mon, 02 Mar 2026) Edge computing has become a practical way to reduce latency and enable real-time decision-making. Running AI models on
edge devices can lead to significant performance gains, especially in manufacturing, health care, transportation and infrastructure.
However, distributing data across a network of thousands of devices introduces unique security concerns compared to traditional IT environments. For organizations implementing or considering AI
for edge networks, understanding security implications is crucial to keep information and operations secure.
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DevOps Cafe Ep 79 - Guests: Joseph Jacks and Ben Kehoe
(Mon, 13 Aug 2018)
Triggered by Google Next 2018, John and Damon chat with Joseph Jacks (stealth startup) and Ben Kehoe (iRobot) about their public disagreements — and agreements — about Kubernetes and
Serverless.
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DevOps Cafe Ep 78 - Guest: J. Paul Reed
(Mon, 23 Jul 2018)
John and Damon chat with J.Paul Reed (Release Engineering Approaches) about the field of Systems Safety and Human Factors that studies why accidents happen and how to minimize the occurrence and
impact.
Show notes at http://devopscafe.org
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DevOps Cafe Ep. 77 - Damon interviews John
(Wed, 20 Jun 2018)
A new season of DevOps Cafe is here. The topic of this episode is "DevSecOps." Damon interviews John about what this term means, why it matters now, and the overall state of security.
Show notes at http://devopscafe.org
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