Michael Levin's Blog – January 2015 Archive (6)

Phone Software Entrepreneurs? Under 30 Forbes List

Forbes published an under 30 tech list featuring entrepreneurs who've made it big. Read about it …

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Added by Michael Levin on January 27, 2015 at 12:30pm — No Comments

Getting Started With Android

Interested in Android programming? Here's a nice, recent article at Lifehacker outlining good, free resources to get you going. http://lifehacker.com/i-want-to-write-android-apps-where-do-i-start-1643818268 ;

Added by Michael Levin on January 22, 2015 at 11:05am — No Comments

Pay What You Want: Back-End Developer Course Bundle

Pay What You Want: Back-End Developer Course Bundle…

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Added by Michael Levin on January 20, 2015 at 10:23am — No Comments

Speak at OSCON!

Here's a message from O'Relly about OSCON 2015:

We're deep into planning OSCON 2015 and we've got some exciting news: OSCON is changing. We're no longer beating the drum and…

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Added by Michael Levin on January 9, 2015 at 11:47am — No Comments

O'Reilly Solid Conference CFP closes 1/20!

The O'Reilly Solid conference is in San Diego in June and it's all about the merging of HW/SW for the IoT. Want to get involved? The Call for Papers is open and there are loads of benefits in giving a presentation for an O'Reilly conference., Take it from me! It's a great thing to do for the community and you learn a ton…

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Added by Michael Levin on January 9, 2015 at 9:30am — No Comments

How to Use SQL, Hadoop, Drill, REST, JSON, NoSQL, and HBase in a Simple REST Client

Our friend Carol just published this article.

SQL will become one of the most prolific use cases in the Hadoop ecosystem, according to Forrester Research. Apache Drill is an open source SQL query engine for big data exploration. REST services and clients have emerged as popular technologies on the Internet. Apache HBase is a hugely popular Hadoop NoSQL…

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Added by Michael Levin on January 7, 2015 at 1:45pm — No Comments

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InfoQ Reading List

Meta Deploys Unified AI Agents to Automate Performance Optimization at Hyperscale

Meta has unveiled a new AI-driven capacity efficiency platform that uses unified AI agents to automatically detect and resolve performance issues across its global infrastructure, marking a significant step toward self-optimizing systems at hyperscale.

By Craig Risi

Presentation: The Next Generation of AI Products

Hilary Mason shares her journey from academia to building AI products at scale. She discusses the shift from discrete engineering to probabilistic mindsets, explaining why managing "human considerations" is the hardest part of the stack. She explains the "existential crisis" for engineers, arguing that great architecture today is about context management, systems thinking, and good taste.

By Hilary Mason

Vitest 4.1: Test Tags, Native Node.js Execution and AI Agent Reporter

Vitest 4.1, developed by VoidZero, enhances JavaScript testing with features like test tags for filtering and configuring tests, an experimental mode to bypass Vite's module runner, and new lifecycle hooks. It supports Vite 8 from the start. Notably, it reports improvements in performance compared to Jest. The release addresses issues and provides guides for migration.

By Daniel Curtis

Article: Securing Autonomous AI Agents on Kubernetes: Trust Boundaries, Secrets, and Observability for a New Category of Cloud Workload

Autonomous AI agents break Kubernetes security assumptions with dynamic dependencies, multi-domain credentials, and unpredictable resource use. This article covers production-tested patterns: Job-based isolation, Vault for scoped short-lived credentials, a four-phase trust model from shadow mode to autonomous operation, and observability for non-deterministic reasoning cycles.

By Nik Kale

Broadcom Donates Velero to CNCF, Shifting Kubernetes Backup to Community Governance

Broadcom has announced the contribution of Velero, its Kubernetes-native backup, restore and migration project, to the Cloud Native Computing Foundation (CNCF) as a Sandbox project. Velero It operates at the Kubernetes API layer, capturing cluster state through Custom Resource Definitions (CRDs) rather than through hypervisor or storage-layer snapshots.

By Matt Saunders

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