May 2009 Blog Posts (7)

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SOA Design Patterns

I'm looking into best practices for design-time governance of services. Does anyone have any links or whitepapers they can suggest? Thank you!

Added by Sunny Wear on May 21, 2009 at 5:19pm — 4 Comments

Open Source Bridge

I'm Attending Open Source Bridge - June 17–19, 2009 - Portland, OR



Open Source Bridge is a new conference for developers working with open source technologies. It will take place June 17-19 in Portland, OR, with five tracks connecting people across projects, languages, and backgrounds to explore how we do our work, and why we participate in open source. The conference structure is designed to provide developers with an opportunity to learn from people they might not connect with at… Continue

Added by Michael Levin on May 20, 2009 at 11:30am — No Comments

JSR Watch: Here’s to Progress

Here's an update from the Chair of the JCP and director of the JCP Program office: Patrick Curran



http://java.ulitzer.com/node/965152





JSR Watch: Here’s to Progress



And here’s to the next 10 years!

By Patrick Curran



May 15, 2009 03:00 PM EDT

Reads: 560



The end of the year is an opportunity to review the past year's activity, and to present this to our Executive Committee (EC)… Continue

Added by Michael Levin on May 19, 2009 at 8:30pm — No Comments

All About Scala



Thanks to Carol for pointing this… Continue

Added by Michael Levin on May 15, 2009 at 10:30am — No Comments

On breadth vs. depth of technical knowledge...

What language should you learn? How about operating systems? Wondering what framework to add to your bag of tricks? Check out Jeff Thalhammer's blog to read one man's view. What do you think?

Added by Michael Levin on May 14, 2009 at 1:30pm — No Comments

Grooveshark Internship

Grooveshark is arguably the coolest place to work in the Swamp.

Added by Michael Levin on May 8, 2009 at 12:00pm — No Comments

The Instructables



I was talking with my friend Daniel at the McRorie Community Garden in Gainesville yesterday. He said that gardening sensors were all the rage. Pointed to the… Continue

Added by Michael Levin on May 8, 2009 at 9:30am — No Comments

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InfoQ Reading List

AWS Introduces Fifth-Generation Graviton Processor with M9g Instances

AWS recently announced the new Graviton5 processor and the preview of the first EC2 instances running on it, the general-purpose M9g instances. According to the cloud provider, the latest chip delivers up to 25% higher performance than Graviton4, introduces the Nitro Isolation Engine, and provides a larger L3 cache, improving latency, memory bandwidth, and network throughput.

By Renato Losio

Microsoft Research Develops Novel Approaches to Enforce Privacy in AI Models

A team of AI researchers at Microsoft introduces two novel approaches for enforcing contextual integrity in large language models: PrivacyChecker, an open-source lightweight module that acts as a privacy shield during inference, and CI-CoT + CI-RL, an advanced training method designed to teach models to reason about privacy.

By Sergio De Simone

Swiggy Rolls Out Hermes V3: From Text-to-SQL to Conversational AI

Swiggy has released Hermes V3, a GenAI-powered text-to-SQL assistant that enables employees to query data in plain English. The Slack-native system combines vector retrieval, conversational memory, agentic orchestration, and explainability to improve SQL accuracy and support multi-turn analytical queries.

By Leela Kumili

Amazon S3 Vectors Reaches GA, Introducing "Storage-First" Architecture for RAG

AWS has announced the general availability of Amazon S3 Vectors, increasing per-index capacity forty-fold to 2 billion vectors. By natively integrating vector search into the S3 storage engine, the service introduces a "Storage-First" architecture that decouples compute from storage, reducing total cost of ownership by up to 90% for large-scale RAG workloads.

By Steef-Jan Wiggers

Presentation: From Confusion to Clarity: Advanced Observability Strategies for Media Workflows at Netflix

Naveen Mareddy and Sujana Sooreddy discuss the evolution of Netflix’s media processing observability, moving from monolithic tracing to a high-cardinality analytics platform. They explain how to handle "trace explosion" using stream processing and a "request-first" tree visualization, and share how to transform raw spans into actionable business intelligence.

By Sujana Sooreddy, Naveen Mareddy

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