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Reliable AI Agent Architecture for Mobile: Timeouts, Retries, and Idempotent Tool Calls (Thu, 29 Jan 2026)
Mobile is where “agent reliability” stops being a nice-to-have and turns into incident prevention. On desktop or server environments, a flaky call is annoying. On mobile, it’s normal:
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5 Technical Strategies for Scaling SaaS Applications (Thu, 29 Jan 2026)
Growing a business is every owner’s dream — until it comes to technical scaling. This is where challenges come to the surface. They can be related to technical debt, poor architecture, or infrastructure that can’t handle the load. In this article, I want to take a closer look at the pitfalls of popular SaaS scaling strategies, drawing from my personal experience. I’ll share lessons learned and suggest practices that can help you navigate these challenges more effectively.
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AI Awareness for File-Based Work: The Risk of Silent Failure (Thu, 29 Jan 2026)
As large language models move from chat to operational work, a specific reliability gap keeps surfacing: the model can produce fluent output without using the files the user provided. In file-based workflows, this is not a cosmetic issue. It is a correctness issue, because the file is the source of truth. This article reports a documented interaction with Google Gemini Pro (paid) in which a user supplied a structured CSV containing 518 institutional records and a computed total of 3,672,638 full-time equivalents (FTEs). Instead of demonstrating file use, the model initially returned generic output and continued to follow an earlier response mode even after the user repeatedly requested a mode change. The transcript includes the model’s own admissions that it failed to incorporate the Excel/CSV data and that it remained stuck to an initial formatting constraint.
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Cognitive Load-Aware DevOps: Improving SRE Reliability (Thu, 29 Jan 2026)
The site reliability engineering (SRE) community has tended to view reliability as a mechanical problem. So we have been meticulously counting "nines," working on the failover groups, and making sure our autoscalers have all the least settings they need. But something appears to be metamorphosing threateningly: people are becoming increasingly lost in high-availability metrics like 99.99%, which seemingly mask an infrastructure that would melt like butter if not for humans stepping in manually. We have reached the maximum level of complexity. Modern cloud-native ecosystems, including microservices, temporary Kubernetes pods, and distributed service meshes, are experiencing an exponential growth in the amount of traffic they handle. While the infrastructure continues to scale up and down at will, our human cognitive bandwidth, as defined by Miller's Law, simply cannot keep up. We are trying to manage state spaces that approach infinity with something as minimalist as biological bandwidth.
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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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