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With all the news about art programs like Midjourney, chat applications like ChatGPT and so on, it's no wonder more and more people are concerned 'AI' -- however defined, may put their jobs in danger. But how true is that? Is 'AI' coming for you? Tune in to learn more in the first part of this ongoing series.
See omnystudio.com/listener for privacy information.
array(3) { [0]=> string(150) "https://www.omnycontent.com/d/programs/e73c998e-6e60-432f-8610-ae210140c5b1/2e824128-fbd5-4c9e-9a57-ae2f0056b0c4/image.jpg?t=1749831085&size=Large" [1]=> string(10) "image/jpeg" [2]=> int(0) }In complex service-oriented architectures, failure can happen in individual servers and containers, then cascade through your system. Good engineering takes into account possible failures. But how do you test whether a solution actually mitigates failures without risking the ire of your customers? That’s where chaos engineering comes in, injecting failures and uncertainty into complex systems so your team can see where your architecture breaks.
On this sponsored episode, our fourth in the series with Intuit, Ben and Ryan chat with Deepthi Panthula, Senior Product Manager, and Shan Anwar, Principal Software Engineer, both of Intuit about how use self-serve chaos engineering tools to control the blast radius of failures, how game day tests and drills keep their systems resilient, and how their investment in open-source software powers their program.
Episode notes:
Sometimes old practices work in new environments. The Intuit team uses Failure Mode Effect Analysis, (FMEA), a procedure developed by the US military in 1949, to ensure that their developers understand possible points of failure before code makes it to production.
The team uses Litmus Chaos to inject failures into their Kubernetes-based system and power their chaos engineering efforts. It’s open source and maintained by Intuit and others.
If you’ve been following this series, you’d know that Intuit is a big fan of open-source software. Special shout out to Argo Workflow, which makes their compute-intensive Kubernetes jobs work much smoother.
Connect on LinkedIn with Deepthi Panthula and Zeeshan (Shan) Anwar.
If you want to see what Stack Overflow users are saying about chaos engineering, check out
Chaos engineering best practice
, asked by
two years ago.
In a span of 25 hours, three men of color died after encounters with Los Angeles police officers. Could a change in tactics long asked for by activists have prevented the deaths?
Today, we talk about the incidents, the aftermath — and what’s next. Read the full transcript here.
Host: Gustavo Arellano
Guests: L.A. Times investigative crime reporter Richard Winton and L.A. Times metro columnist Erika D. Smith
More reading:
Column: MLK had a dream about ending police brutality. In L.A., we’re clearly still dreaming
LAPD’s repeated tasing of teacher who died appears excessive, experts say
Tornadoes cause damage across the south. 3 shot dead at Washington state convenience store. Mike Pence's classified files. CBS News Correspondent Steve Kathan has today's World News Roundup.
To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy
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Hello from Tammy’s dark apartment!
This week, Jay and Tammy are joined by Beatrice Adler-Bolton, co-host of the podcast Death Panel, with Artie Vierkant, and co-author, also with Artie, of the new book Health Communism, a manifesto that reimagines our systems of care.
[2:00] But first, we try to process the horrific mass shooting at a dance studio in Monterey Park, California, in which eleven people were killed on Lunar New Year. We discuss Asian America’s reactive hyperfocus on racial identification and hate-crime designations and ponder alternatives. (We recorded on Monday evening, just before news broke of yet another mass shooting—this time, in Half Moon Bay, killing seven people. Jay expanded on these ideas in this essay for TTSG.) How should the left respond to violence that doesn’t fit into a predetermined, racialized narrative?
[18:00] In our main segment, Beatrice takes us through the theory of Health Communism and its promise to save us from our financialized care nightmare. We discuss the transformation of “health” into an aesthetic commodity and the dogma of personal responsibility that keeps us from making population-level change. Though the book does not discuss COVID-19, Beatrice explains how our pandemic response has highlighted the left’s blind spots with respect to disability. She endorses a "margin to center" / “edge case” method, drawing on Black feminism, and a global approach to social determinants of health. Plus: how mainstream talk of Medicare for All falls short, a Supreme Court case about nursing homes, and the meaning of “extractive abandonment.”
Speaking of communism: On Tuesday, January 31, at 5pm EST, Tammy joins sci-fi novelist and activist China Miéville for a conversation about “contemporary capitalism’s rapidly multiplying crises and the Communist Manifesto’s enduring relevance,” in celebration of his new book, A Spectre, Haunting. Register here!
Thanks for listening! Subscribe on Patreon or Substack and follow us on Instagram, TikTok, and Twitter. As always, feel free to email us at timetosaygoodbyepod@gmail.com.
After months of foot-dragging, Germany is sending tanks to Ukraine, with America poised to follow suit. We examine how that could reshape the battlefield. Why Sudan’s democratic transition has stalled and its economy is struggling. And we reveal the secret to perfectly cooked chips.
For full access to print, digital and audio editions of The Economist, subscribe here www.economist.com/intelligenceoffer
Sydney Davis really enjoys art. She enjoys immersive exhibits and loves to paint. She's a Mom, and digs spending time with her son and traveling to different exhibits. She loves the intersection between elemental art, digital art, and art from repurposed elements. She introduced me to a new term for immersive exhibits - selfie museums, which I hadn't heard before.
When Sydney was leaving the college world, she was creating apps for customers, and validated the need for said customers to have guidance on how to build an app. After taking a development hiatus, she picked back up her platform approach in 2019, and eventually started using AI & Machine Learning to drive an easier, no code, app development experience.
This is the creation story of Nixcode.
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