正在加载视频...

视频加载失败

"It's a mess out there" 😱 Chaos engineering can help. What is Chaos Engineering? Just a minute and a half to answer - but a lifetime of always-on availability Learn more about how Amazon Search uses chaos engineering here Amazon Web Services #chaosengineering

10,175 次观看 • 3 年前 •via X (Twitter)

4 条评论

Linda Vivah (Haviv) 的头像
Linda Vivah (Haviv)3 年前

@awscloud So well explained! ⭐️

André Rocha 的头像
André Rocha3 年前

@awscloud Outstanding explanation! Thanks, Seth!

Ed Neal 的头像
Ed Neal3 年前

@awscloud Hey Seth, We receive an order from Amazon several days weekly! But I understand how Great AWS is in making Amazon very Profitable! Nice meeting you.🇺🇸🇺🇸🇺🇸🦅

george niece 的头像
george niece2 年前

@awscloud Chaos engineering is great for not only extending to the world of unknowns but also in seeing that you have the right response when something unexpected occurs. Ran your experiment and success, celebrate. Ran your experiment and no success, celebrate.

相关视频

Happy to properly launch Anna, the proactive AI agent for parents! Uncovering a bit of the technology behind the scenes! Building Anna is where I learned: 💾 Memory as plain text sucks. You need structured memory. Like a full-blown PostgreSQL DB that stores your tasks and calendar in a structured manner. Most harnesses are good at coding-related stuff. Let it do the query. Don't let it vibe-search the memory. Let it vibe your SQL query 💭 Dreaming is a useful concept for enhancing memory to feed the LLM context. But DO NOT vibe your dream. Asking your agent to "hey, just dream and keep the relevant memory around" is a recipe for deleting a bunch of important information and keeping trash around. Your dream needs to have some Taxonomy (or better, Ontology). What information is important? For who? With what object? What can they do? And again, these are impossible to describe and act well without a proper schema 🔄 Loop Engineering is important for smoothing out rough edges in the system we build. But even expensive loop engineering with a state-of-the-art model can't out-engineer bad system design. The highest leverage an AI Engineer can do is actually building the right system design, and having an eye on both product delight and engineering scalability There are several more insights that I plan to cover in a dedicated video about Agentic AI Engineering. But it's actually a huge relief that the future of software engineering... is still software engineering

Gogo | Dota for Toxicity

30,766 次观看 • 1 个月前