The illusion of conscious AI
Anthropic's Kyle Fishtosses around a bold 15% chance that chatbots might be conscious. Meanwhile,neuroscientistsraise an eyebrow and point out our shaky grasp of how intelligence relates to consciousness... read more Â
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Why we're unlikely to get artificial general intelligence anytime soon
AGI's just around the corner? Hold your horses. Altman, Amodei, and Musk see it coming soon, but some experts roll their eyes. AGI needs more than just souped-up neural networksâarevelationno one's unearthed yet. Real intelligence? It thrives in chaos, pivots on a dime. Todayâs AI prefers its patter.. read more Â
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Getting Started with Semantic Kernel
Semantic Kernelis a developer's best friend, an open-source dynamo for crafting AI apps withlarge language models (LLMs). It cuts through complexity like a hot knife through butter... read more Â
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Enterprise AI Without GPU Burn: Salesforceâs xGen-small Optimizes for Context, Cost, and Privacy
xGen-small flips the script.It slashes model size yet juggles 256K tokens like a caffeinated ninja. So much for the old bigger-faster-better mantra. By mixing precise data curation, scalable pre-training, and ironclad privacy, this Salesforce gem rolls out enterprise-ready AI thatâs as budget-friend.. read more Â
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Identifying Hidden Cloud Waste in Your Code
Vadim Soloveyblows the whistle on our love affair with so-called "efficient" code. It's smoke and mirrors, he insists. Behind the illusion lurk costly inefficiencies. Solovey demands we shift focusâditch those endless cloud tweaks for something deeper:code-level fixes. Enter execution profiling and .. read more Â
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AI in Incident Management: Balancing Automation & Expertise
AI-driven incident management holds great promise, but what happens when AI fails? Engineers risk losing critical system understanding as AI takes over routine tasks, highlighting the need for human oversight and collaboration in this AI-enhanced future... read more Â
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Tales from the cloud trenches: The Attacker doth persist too much, methinks
Hackers snagged some leaked AWS keys and conjured up a "persistence-as-a-service" scheme. They weaved through API Gateways and Lambda like ghostly threads. Dodging revocation? Easy. They whipped up dynamic IAM users faster than you can say "security breach." Telegram buzzed with ConsoleLogin eventsâ.. read more Â
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How we optimized LLM use for cost, quality, and safety to facilitate writing postmortems
Postmortem Optimization:Slashing LLM costs while preserving quality and safety. Who said AI canât spruce up even the most mind-numbing tasks?.. read more Â
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How to enhance your application resiliency using Amazon Q Developer
Amazon Qbehaves like a tech-savvy wizard, dialing up app resilience with style. It champions Multi-AZ deployments, elastic scaling, and caching to strengthen AWS fortresses. With a talent forreal-time failure analysisand savvy DR strategies, it transforms basic setups into systems that laugh in the .. read more Â
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Zero-Touch Bare Metal at Scale
Mapping hardware to Linux device names? Chaos. EnterSystemD: its magic cleans up the network interface mess. Storage naming, though? Serial numbers rule the roost. With the sharp combo ofRedfish HTTP APIandPixiecore, they revamped server setup. Price tag? A jaw-droppingunder $1 for 50 servers. Thank.. read more Â
The 2026 Lens: DevOps in an AI World: You're working in a world where AI is everywhere, embedded in your tools, requested by your management, and reshaping how teams deliver software. Whether you're embracing these changes or navigating the challenges they create, your experience matters.
We're looking for stories about how you and your organizations are adapting your mindsets, processes, and team dynamics in this rapidly evolving landscape. How did your team integrate AI into existing workflows? What changed about collaboration when AI entered the picture? Where do humans remain critical in automated processes? How do you build the next generation of engineers when entry-level work is automated? What are the real implementation challenges you're facing in Southern California's entertainment, gaming, aerospace, retail, healthcare, and manufacturing companies?
What makes DevOpsDayLA different:Â We focus on culture, collaboration, and cross-industry implementation stories rather than pure technical deep-dives. We're all about the people and processes that make technology successful in an AI world, not the technology itself.
We especially welcome new speakers, under-represented voices, and fresh perspectives from across SoCal's diverse tech landscape.
Attending
To attend DevOps Day LA purchase a  SCALE ticket via the SCALE website. Your ticket will provide access to both events.
Sponsor
DevOpsDayLA sponsors have the opportunity to offer job opportunities, demonstrations of the latest tools, and world-class service offerings to facilitate organizationsâ DevOps journey. The conference is presented with the support of the Southern California Linux Expo (SCALE). It provides a relaxed, casual, and diverse environment where experienced professionals, evangelists, agile practitioners, developers, job seekers, business executives, educators, students, and curiosity seekers can connect and attend talks on current topics.
For additional information, please contact us at los-angeles@devopsdays.org.
Speak at DevOpsDay LA
DevOpsDay LA sessions are selected through our calling for presentations for our 2026 event. We have posted a list of desired topics and best practices for submissions.
Friday, March 6, 2026 - 10:00 to 17:00
