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Squid Game is back—and this time, the knives are out. In the thrilling Season 3 premiere, Player 456 is spiraling and a brutal round of hide-and-seek forces players to kill or be killed. Hosts Phil Yu and Kiera Please break down Gi-hun’s descent into vengeance, Guard 011’s daring betrayal of the Game, and the shocking moment players are forced to choose between murdering their friends… or dying. Then, Carlos Juico and Gavin Ruta from the Jumpers Jump podcast join us to unpack their wild theories for the season. Plus, Phil and Kiera face off in a high-stakes round of “Hot Sweet Potato.” SPOILER ALERT! Make sure you watch Squid Game Season 3 Episode 1 before listening on. Play one last time. IG - @SquidGameNetflix X (f.k.a. Twitter) - @SquidGame Check out more from Phil Yu @angryasianman , Kiera Please @kieraplease and the Jumpers Jump podcast Listen to more from Netflix Podcasts . Squid Game: The Official Podcast is produced by Netflix and The Mash-Up Americans.…
Content provided by Voice of the DBA. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Voice of the DBA or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Content provided by Voice of the DBA. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Voice of the DBA or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
There was a time when I knew a lot about the various storage technologies available for a database. It was important when designing a server around the various requirements for size and performance balanced against the limitations of hardware. The rapid growth of solid state storage and the adoption of storage area networks have changed the game for many of us. We no longer care or think about storage. It’s just a service that we consume in our databases, and while we might demand more IOPS capacity, we often don’t worry too much about how that’s provided to our systems. I caught an article about IBM and a few enhancements to their offerings. They have a FlashSystem 5200, which is a way of taking their enterprise-class systems and packaging it in a way that organizations of all sizes can afford. In this case, they can get 1.7PB in a 1U package, which seems insane. I can remember working on an Enterprise 2U system that maxed out at 200GB worth of SCSI HDDs. I wondered if this was a lot in today’s world. A few friends work for Pure Storage, and I’ve met some customers who were very impressed with their arrays. When I looked at a FlashArray//X70 from them, they get 2.4PB in 3U, so the IBM offering is more dense. In terms of IOPS, I’m sure they are both very fast, likely fast enough for most places I’ve worked. What’s interesting is that I’ve found sysadmins way more concerned about specs and loving the Pure arrays more than the DBAs. DBAs (I think) are stuck with the hardware, and so they are always looking for what the bottlenecks are on a system and can I tune them down to a reasonable level. Or can I just get more storage or IOPs from whoever is in charge of storage? The world of storage (and networking) has come so far in the last 30 years that the numbers today seem mind-bogglingly fast compared to even a decade ago. It makes me wonder why we have any performance problems at all. Unfortunately, all the hardware in the world can’t compensate for keeping too much data in expensive storage and writing bad code. A little query expertise and archiving structures would likely make all that hardware look as amazing in the real world as it appears in spec sheets. Steve Jones Listen to the podcast at Libsyn, Spotify , or iTunes . Note, podcasts are only available for a limited time online.…
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