Posts

Fundamentals of DevOps & Software Delivery • Yevgeniy "Jim" Brikman & Kief Morris

Fundamentals of DevOps & Software Delivery • Yevgeniy "Jim" Brikman & Kief Morris

Yevgeniy "Jim" Brikman, author of "Fundamentals of DevOps and Software Delivery," discusses his journey from app developer to DevOps advocate, triggered by LinkedIn's deployment crisis. The discussion with Kief Morris explores the practical definition of DevOps, the relationship between infrastructure as code and application orchestration, the necessity of frameworks over custom wrapper scripts, and emerging paradigms including infrastructure from code, infrastructure as graph models, and interactive runbooks.

Fundamentals of DevOps & Software Delivery • Yevgeniy "Jim" Brikman & Kief Morris

Fundamentals of DevOps & Software Delivery • Yevgeniy "Jim" Brikman & Kief Morris

Yevgeniy "Jim" Brikman, author of "Fundamentals of DevOps and Software Delivery," and Kief Morris, author of "Infrastructure as Code," discuss the practicalities of modern software delivery. Jim recounts his career-defining experience at LinkedIn, where a deployment crisis led to a company-wide focus on fixing delivery pipelines. The conversation explores the pragmatic definition of DevOps, the interplay between Infrastructure as Code and application orchestration tools like Kubernetes, the necessity of frameworks like Terragrunt over custom wrapper scripts, and a look at emerging paradigms like Infrastructure from Code, Infrastructure as a Graph, and Interactive Runbooks.

953: Beyond “Agent Washing”: AI Systems That Actually Deliver ROI— with Dell’s Global CTO John Roese

953: Beyond “Agent Washing”: AI Systems That Actually Deliver ROI— with Dell’s Global CTO John Roese

John Roese, Dell's Global CTO, discusses the "agent-washing" phenomenon and how Dell achieved a $10 billion revenue boost while cutting costs through disciplined AI adoption. He introduces the concept of the "knowledge layer" as a crucial new component in AI architecture and details his 2026 predictions. These include a focus on governance, a four-part technical definition for agentic AI systems, the need for modern resiliency in AI factories, and the maturation of sovereign AI strategies.

Memory in LLMs: Weights and Activations - Jack Morris, Cornell

Memory in LLMs: Weights and Activations - Jack Morris, Cornell

This talk explores the limitations of current methods for providing knowledge to LLMs, such as large context windows and Retrieval-Augmented Generation (RAG). The speaker argues that the future lies in training knowledge directly into the model's weights. This is achieved through a combination of generating large synthetic datasets from small amounts of source material and using parameter-efficient fine-tuning (PEFT) techniques like LoRA to avoid catastrophic forgetting. The goal is to create more capable, personalized, and efficient models by fundamentally altering how they store and access information.

Agentic Al in SW Development: Evolving Patterns & Protocols • Bhuvaneswari  Subramani • GOTO 2025

Agentic Al in SW Development: Evolving Patterns & Protocols • Bhuvaneswari Subramani • GOTO 2025

Bhuvaneswari Subramani details the "Agentic Shift" in AI by presenting an evolutionary journey through seven foundational system design patterns. The talk progresses from simple conversational clients to sophisticated, multi-agent systems, covering key patterns like Retrieval-Augmented Generation (RAG), Self-Correcting RAG, and the Model Context Protocol (MCP), explaining how each pattern adds new layers of context, action, and autonomy.

Cybersecurity Trends in 2026: Shadow AI, Quantum & Deepfakes

Cybersecurity Trends in 2026: Shadow AI, Quantum & Deepfakes

Explore Jeff Crume's cybersecurity predictions for 2026 and beyond, detailing the dual impact of AI in security, the rise of autonomous AI agents, the futility of deepfake detection, and the critical importance of post-quantum cryptography and passkeys for future defense.