Merge pull request #15796 from DevOpsDaysNashville/main

[NSH-2026] Program updates

Author: toshywoshy

assets/events/2026-nashville/speakers/robert-hoffman.png

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+Talk_date = ""
+Talk_start_time = ""
+Talk_end_time = ""
+Title = "From the Top: Mastering the DevOps Machine Learning Pipeline for Unrivaled Innovation - A CEO's Perspective on Cool DevOps"
+Type = "talk"
+Speakers = ["benv-savage"]
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+
+How can DevOps, when seamlessly integrated with machine learning pipelines, become a powerhouse for innovation and competitive advantage? This exploration, from a CEO’s perspective, unveils DevOps not just as a collection of practices and tools but as a pivotal asset in strategic business positioning and market leadership. Learn how melding DevOps with machine learning amplifies its strategic importance, driving product innovation, enhancing customer experiences, and facilitating agile responses to market dynamics. We will highlight concrete examples where the synergy of DevOps and machine learning has led to notable business successes, including market expansion, the swift introduction of innovative products or features, and achieving operational efficiencies. The presentation concludes with a visionary outlook on DevOps, enriched with machine learning, as a transformative force in business growth and evolution.

assets/events/2026-nashville/speakers/tyler-welton.png

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+Talk_date = ""
+Talk_start_time = ""
+Talk_end_time = ""
+Title = "Smart Routing: AI-Driven Request Orchestration for the Right Models Every Time"
+Type = "talk"
+Speakers = ["benv-savage"]
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+
+How can businesses streamline the process of managing requests to multiple machine learning models? This presentation explores the integration of AI for dynamic orchestration, ensuring that requests are routed to the most appropriate models based on complexity, cost, and performance needs. We’ll cover architectural strategies for building intelligent routing systems, the benefits of leveraging smaller models for efficiency, and the role of observability tools in maintaining system health. Attendees will gain insights into real-world applications, actionable strategies, and the future of AI-driven orchestration in dynamic environments. Learn how to enhance scalability, optimize costs, and unlock the full potential of machine learning in diverse industries.

content/events/2026-nashville/program/benv-savage1.md

@@ -7,11 +7,16 @@ Type = "talk"
 Speakers = ["chris-lee"]
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-You used AI (Cursor, vibe coding) to build an app. Then you hit the wall: Now what? It needs a URL, auth, CI, and a way to find bugs before users do. This talk presents a repeatable “day two” checklist for moving to production: hosting on Vercel, DNS, data with Airtable, authentication with Clerk, GitHub for PRs and review, and GitHub Actions for lint and test on every push. We use git hooks (Husky) so the same test suite runs locally before every push, and Cursor agents to find issues, running “find bugs,” “check for auth leaks,” or “review this diff” so the AI does the first pass before human review. The DevOps connection: AI got us to “working code” fast; the same tooling (Cursor + agents) and pipeline (GitHub + Actions + Vercel) get us to deployed, reviewed, and maintainable without throwing away the vibe. Principles in play: automation (CI, cron, agents, hooks), feedback loops (PRs, tests, agents), and security by default (Clerk, env vars, CRON_SECRET)
-Key Takeaways
-“I vibe coded an app” is only half the story. The other half is hosting, auth, DNS, CI, and review.
-We use Cursor agents for finding issues; GitHub + Actions for PRs and CI; Husky so the same tests run locally; Vercel for hosting, Clerk for auth, and Airtable for data.
-The same AI that helped build the app now helps operate it through continuous "review assistance."
-The test suite is the same everywhere: run by git hooks before push, run by GitHub Actions on every push/PR, and required before merge so deploys are safe.
+You vibe coded an app. It works. It demos well.
 
+Then you hit the wall.
 
+Now it needs a website, scalability, automated deployments, a database, authentication, payments, emails… and a way to catch problems before your users do. Most projects die right here.
+
+This talk is about what comes next. Not theory, not tools for their own sake, but the shift from “it works on my machine” to something real. The difference between a demo and a system you can trust.
+
+We’ll walk through the mindset and patterns that make that transition possible: building feedback loops, enforcing quality before deploy, and using AI not just to write code, but to continuously review and challenge it.
+
+The same tools that let you build fast can help you operate safely, if you use them correctly.
+
+The takeaway is simple: building the app is only half the story. What matters is whether it holds up when it’s live.

content/events/2026-nashville/program/benv-savage2.md

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+Talk_date = ""
+Talk_start_time = ""
+Talk_end_time = ""
+Title = "From Noise to Narrative: Using AI to Reduce Cognitive Load in Incident Response"
+Type = "talk"
+Speakers = ["vivek-madem"]
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+
+As systems grow more distributed and interconnected, incident response has become less about finding data and more about interpreting it. During outages, engineers face alert storms, multiple dashboards, logs, traces, and chat threads, all competing for attention. The real bottleneck is no longer access to information, but the human ability to process it under pressure.
+
+In response, many teams are beginning to integrate AI into their operational workflows—not as autonomous decision-makers, but as cognitive assistants. Rather than auto-remediating blindly, AI is being used to correlate signals, summarize incidents in real time, highlight anomalies, and surface relevant historical context. The goal is not to replace human judgment, but to improve clarity and reduce decision fatigue.
+
+This talk explores how AI-driven signal synthesis aligns with core DevOps principles:
+
+Automation: Reducing manual triage work during incidents
+Measurement: Improving visibility and contextual awareness
+Culture: Supporting collaborative decision-making instead of heroics
+Sharing: Capturing and summarizing knowledge for postmortems
+
+We will examine practical implementation patterns, including:
+
+AI-generated incident summaries from logs and metrics
+Context-aware alert grouping
+Historical incident similarity detection
+Chat-based operational assistants
+
+We will also discuss the limitations and risks, including over-trust, hallucination risks, and automation bias.
+
+Attendees will leave with a clearer understanding of where AI meaningfully improves DevOps workflows and where human reasoning must remain central.

content/events/2026-nashville/program/chris-lee.md

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+Title = "Speakers"
+Type = "speakers"
+Description = "Speakers for devopsdays atlanta 2026"
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content/events/2026-nashville/program/vivek-madem.md

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+Title = "Ben V. Savage"
+Twitter = ""
+linkedin = ""
+image = ""
+type = "speaker"
+linktitle = "benv-savage"
+Website = ""
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+

content/events/2026-nashville/speakers.md

@@ -2,7 +2,7 @@
 Title = "Chris Lee"
 Twitter = ""
 linkedin = ""
-image = ""
+image = "chris-lee.png"
 type = "speaker"
 linktitle = "chris-lee"
 Website = ""

content/events/2026-nashville/speakers/benv-savage.md

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 Title = "Michael Anthony"
 Twitter = ""
-linkedin = ""
+linkedin = "https://www.linkedin.com/in/michael-anthony-25b950106/"
 image = ""
 type = "speaker"
 linktitle = "michael-anthony"