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Building an AI Agent Traffic Management Platform: APISIX AI Gateway in Practice (Mon, 26 Jan 2026)
Introduction: The Turning Point from Dispersed Traffic to Intelligent Governance Since early 2025, within a leading global appliance giant, multiple business lines have introduced numerous large language models (LLMs). The R&D department needed coding assistants to improve efficiency, the marketing team focused on content generation, and the smart product team aimed to integrate conversational capabilities into home appliances. The variety of models rapidly expanded to include both self-built solutions like DeepSeek and Qwen, as well as proprietary models from multiple cloud service providers. However, this rapid expansion soon exposed new bottlenecks: fragmented inference traffic, chaotic scheduling, rising operational costs, and uncontrollable stability issues.
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Prompt Injection Is the New SQL Injection: How Hackers Are Breaking into AI Systems (Mon, 26 Jan 2026)
Why Prompt Injection Is the New Surface Attack and So Difficult by Design In December 2023, a Chevrolet dealership made headlines when users coaxed its ChatGPT-powered chatbot into “agreeing” to sell cars for $1. Just months earlier, in February, Microsoft’s Bing had exposed its hidden “Sydney” persona, venting irritation at users and sparking widespread alarm about AI behavior. These are some examples of prompt injection in action. OWASP now ranks prompt injection as the #1 vulnerability in their LLM Top 10. The thing that makes this challenging is that, since the SQL injection vulnerability took three decades to mature, we have now developed multiple methods to prevent it.
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When Agile Teams Drown in Reports: How to Eliminate Noise and Build a Lean Reporting System (Mon, 26 Jan 2026)
Agile teams rely on data to make informed decisions, improve delivery flow, and maintain transparency across roles and ceremonies. Metrics provide visibility into how work progresses, where bottlenecks emerge, and whether the team is on track to meet its goals. Yet in many organizations, teams unconsciously fall into a reporting trap: they generate far more reports than they actually need. Dashboards, charts, spreadsheets, widgets, and analytics multiply over time: each created with good intentions, but often without clear ownership or a defined decision-making purpose. What begins as a simple attempt to track progress evolves into a sprawling reporting ecosystem that teams struggle to navigate.
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Engineering Habits for Building Resilient Software (Mon, 26 Jan 2026)
Software engineering is changing quickly. Just as the internet and cloud computing changed how we build and launch apps, artificial intelligence (AI) is now speeding up the move from a minimum viable product (MVP) to large-scale systems. Tasks that used to take days, such as hackathons, now take only hours. Companies use AI agents for more than code completion. AI agents help with documentation, testing, and managing workflows. But adding AI to the software development lifecycle (SDLC) is not just about speed. It also means building good engineering habits to keep systems resilient, secure, and high-quality.
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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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