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Questions for 2024

O'Reilly

I doubt that we’ll see strikes at major technology companies like Google and Amazon—but we’ve already seen a union at Bandcamp. That’s no doubt true; prior to its release as an open source project, Kubernetes was Google’s Borg, the almost legendary software that ran their core applications. Which will win out?

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Quantum computing’s potential is still far off, but quantum supremacy shows we’re on the right track

O'Reilly

We recently learned about a major breakthrough: Google says it has achieved “quantum supremacy” with a 53-qubit computer. Google performed a computation in a few minutes (3 minutes, 20 seconds to be precise ) that would have taken more than 10,000 years on the most powerful computers we currently have.

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5 tips for architecting fast data applications

O'Reilly Software

Google founders figured out smart ways to rank websites by analyzing their connection patterns and using that information to improve the relevance of search results. Here are five considerations every software architect and developer needs to take into account when setting the architectural foundations for a fast data platform.

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5 key areas for tech leaders to watch in 2020

O'Reilly

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. Software architecture, infrastructure, and operations are each changing rapidly. Software architecture, infrastructure, and operations are each changing rapidly. In programming, Python is preeminent.

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ABAC on SpiceDB: Enabling Netflix’s Complex Identity Types

The Netflix TechBlog

By Chris Wolfe , Joey Schorr , and Victor Roldán Betancort Introduction The authorization team at Netflix recently sponsored work to add Attribute Based Access Control (ABAC) support to AuthZed’s open source Google Zanzibar inspired authorization system, SpiceDB. A cleanup process to prune stale relationships from the database.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

The skillset and the background of people building the applications gets realigned : while it is still effective to express applications in code, the emphasis shifts to data and experimentation—more akin to empirical science—rather than traditional software engineering. Software Development Layers. This approach is not novel.

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