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How to Integrate an AI Chatbot Into Your Application: A Practical Engineering Guide (Tue, 24 Feb 2026)
AI chatbots are increasingly part of modern application architectures, not as standalone features but integrated interaction layers. When designed correctly, a chatbot can simplify user workflows, reduce friction, and act as a controlled interface to backend systems. This guide focuses on how to integrate an AI chatbot into an application from an engineering perspective, covering architecture, implementation steps, and operational considerations without relying on vendor-driven narratives.
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Integration Reliability for AI Systems: A Framework for Detecting and Preventing Interface Mismatch at Scale (Tue, 24 Feb 2026)
Integration failures inside AI systems rarely appear as dramatic outages. They show up as silent distortions: a schema change that shifts a downstream feature distribution, a latency bump that breaks a timing assumption, or an unexpected enum that slips through because someone pushed a small update without revalidating the contract.  The underlying services continue to report “healthy.” Dashboards stay green. Pipelines continue producing artefacts. Yet the system behaves differently because components no longer agree on the terms of cooperation. I see this pattern repeatedly across large AI programs, and it has nothing to do with model performance. It is the natural consequence of distributed teams modifying interfaces independently without enforced boundaries.
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Swagger UI in a BFF World: Making Swagger UI Work Natively With BFF Architectures (Tue, 24 Feb 2026)
This article introduces a Swagger UI plugin designed specifically for Backend-for-Frontend (BFF) architectures, along with working demos (with and without OIDC) that validate the approach end to end. The Rise (and Return) of the BFF Modern web security has shifted away from storing "tokens in the browser." XSS attacks, stricter browser privacy policies, and evolving OAuth recommendations have made Backend-for-Frontend (BFF) architectures the gold standard for secure web apps.
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Building Event-Driven Data Pipelines in GCP (Tue, 24 Feb 2026)
The old-fashioned batch processing is not applicable in the current applications. Pipelines need to respond to events in real time when businesses rely on real-time data to track user behavior, to process financial transactions, or to monitor Internet of Things (IoT) devices, instead of hours after the event. Why Event-Driven Architecture Matters Event-driven processing versus batch processing is a paradigm shift in the flow of data through the systems. With batch pipelines, data is idle until it is run. In event pipelines, each change is followed by an immediate response. This difference is crucial in the development of fraud detection systems that demand sub-second response times or in systems that offer recommendations that are updated in real-time according to who is currently using it.
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DevOps Cafe Podcast

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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