Jose Palafox

Two of AWS’ Sr. Principal Engineers, Nicholas Matsakis and Marc Bowes, take us inside the development of Aurora DSQL in a fascinating new blog. The post shows how the team scaled write operations without two-phase commit, overcame garbage collection hurdles, and ultimately embraced Rust for both data and control planes. What I find particularly interesting is how the team's journey with Rust evolved. They started cautiously, using it for a single component, and ended up rewriting almost everything in Rust. It's a reminder that sometimes the hard choices - like adopting a new language - can unlock tremendous value. The full post is well worth your time. It's not just about database internals, but also about team dynamics, a culture of learning (and questioning established approaches), and making difficult architectural decisions. Read it here: https://lnkd.in/eMhxBu9e Now, go build!

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As I'm leaving AWS re:Invent in Vegas, I’m reminded of a counterintuitive truth: competing with the public clouds is often really good business VCs love to ask, “Why wouldn’t the incumbent do this?” But in markets this large (and evolving this quickly) that’s rarely the right question. The real questions are: Who can assemble the best team, get to market fastest and with the most focus? And where are there opportunities to partner with the biggest players rather than compete? We’ve seen this pattern repeat across the ecosystem: -People assumed Vercel and AWS were destined to compete. Today, they’re strategic partners with CEO Guillermo Rauch in the keynote -Snowflake vs. Amazon Redshift. Now, AWS is one of Snowflake’s strongest distribution channels -In Datadog’s early pitches, the concern was, “If it’s just monitoring AWS, why not use CloudWatch?” Fast forward to now, and Datadog is now $50B+ public company We’re going to see the same dynamics play out with OpenAI and Anthropic. These are becoming foundational platforms. But that doesn’t preclude incredible companies from being built on, next to, and even around them. Some will look competitive. Many will end up as partners. And the biggest outcomes often start in those gray zones

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Existing IAM concepts for agent identity and auth? Are you serious? Autonomous agents work with probabilistic intent and outcomes, shift roles rapidly, cross org boundaries, may exist ephemerally for a single task, but operate at machine speeds and scale. Your existing identity infrastructure was built for humans or machines, not agents that spawn, collaborate, and disappear in seconds. We built an Agent Identity Service powered by AGNTCY | A Linux Foundation Project that delivers: 🫆Cryptographic badge generation for MCP Servers and AI Agents using A2A / MCP / OASF specs 🫆Human-in-the-loop policy authorization for critical actions with real-time mobile approvals 🫆Native integrations with Duo Security, Okta, Ory Corp, plus AGNTCY's DID-based identity provider Tamper-proof badges that prove identity and capabilities. Plugs into whatever identity infrastructure you already run. Free SaaS built on a Linux Foundation project because agent identity standards cannot be vendor-controlled. Code on GitHub. We created a currency exchange demo showing the complete workflow. Financial assistant authenticates with exchange agent, both verify cryptographic badges, human approval required for transfers. Every action traceable to specific agent identity. No more wondering which agent transferred money or called that API. No more forensic investigations when something breaks. Read the blog by Julu Panat & Hervé Muyal for details https://lnkd.in/g_MnVuQ7 Try it. Tell me what works, what doesn't.

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I love the way Ozgun puts it: Ubicloud is an open-source alternative to AWS, at a fraction of the cost How do they dare take on these cloud giants? Özgun shares the backgrounds of the founding team (Daniel and Umur) and what it really takes to go head to head with big tech   More videos from e2vc Summit!

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Have you heard of the llm-d project? It improves LLM performance and drives down costs of inference serving on Kubernetes. It's based around a few key projects including vLLM and kgateway. If you want a deep dive into how it works with a detailed step-by-step "packet flow" through llmd, take a look at this blog I wrote recently. 👉 https://lnkd.in/g2mbEh3m

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Excited to partner with AMZN. We’re co-building a new Stateful Runtime product for agentic applications on Bedrock powered by OpenAI models, expanding Frontier via AWS, scaling with 2GW of Trainium compute, and creating custom models for Amazon apps. https://lnkd.in/gKrRwiiY

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As AI continues to reshape how agencies build, deploy and secure software, transparency and deeper risk understanding are becoming essential to getting it right. I recently joined Sonatype Senior Vice President of Product, @Tyler Warden, and Lockheed Martin Vice President and Chief Digital AI Officer, Mike Baylor, for a GovCIO Media & Research #GovFocus virtual panel on the realities of open-source AI — where it accelerates innovation, where it introduces new exposure and what federal teams should be thinking about as they modernize their software supply chains. If you're navigating AI adoption or looking to strengthen your security posture, this discussion offers a grounded look at the challenges and opportunities ahead. Watch “How AI is Reshaping Open Source, Software Supply Chain” here: https://lnkd.in/es9xv9Wi #SupplyChain #FederalIT #GovTech #AI #ArtificialIntelligence

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Non-human or agent identities are becoming the backbone of modern cloud infrastructure, but they're also a fast-growing attack surface. Arnab Bose and I shared our thoughts on this issue in Forbes with Adrian Bridgwater, and what we're doing at Okta and Auth0 to improve security for AI agents with Cross App Access, our new protocol extension of OAuth. Read more: https://lnkd.in/eajTmhKp

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