JavaOne JUG Discount

If you're a JUG member, the JavaOne event team wants you to know there's a special discount for you:

"We are offering our JUG’s a special discount for the month of June to 
register for JavaOne 2014. The discount will provide an additional $200 
savings off the current Early Bird price of $1,650. This gives a total 
savings of $600 off the on-site price.

JUG members should use the code DJU4.

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Happy 10th year, JCertif!

Notes

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When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
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InfoQ Reading List

Presentation: From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs

Cassie Shum discusses why knowledge graphs serve as a critical foundation for agentic systems. Moving beyond basic RAG, she explains 4 practical architectural patterns: context bundling, decision provenance, code as truth, and agent visibility. She demonstrates an engineering harness built on a knowledge graph to streamline feedback loops, optimize token usage, and maintain system reliability.

By Cassie Shum

Lambda SnapStart Comes to Container Images, Ending a Packaging Tradeoff

AWS has extended Lambda SnapStart to container image functions, which hold up to 10 GB against 250 MB for zip archives. Teams previously chose between dependency headroom and sub-second startup. A Reddit thread from a month earlier shows what that cost: stripping whitespace and docstrings from installed packages to stay under the limit.

By Steef-Jan Wiggers

One Decade of Rustls: Evolution, Benchmarks, and Future Roadmap

Rustls, a Rust TLS library, marks its decade-long progression from a grassroots project to a funded open-source initiative. Key contributions from organisations boosted development, resulting in features like post-quantum cryptography and robust performance. The upcoming 0.24 release aims to enhance architecture and flexibility, including new input buffering and improved session handling

By Olimpiu Pop

NVIDIA Personal AI Router Distributes AI Tasks across Local Compute

NVIDIA Personal AI Router (PAIR), now available in beta, lets you combine the inference capacity of multiple computers on your local network and automatically distribute AI requests among them. It is primarily designed for local multi-agent AI workloads, where multiple independent model calls can otherwise overwhelm one GPU.

By Sergio De Simone

Netflix Reworks Conductor for 420 Million Monthly Workflow Executions and 10X Larger Workflows

Netflix has reworked its Conductor workflow orchestration engine to handle larger workloads, increasing supported workflow size from about 2,500 to 30,000 tasks and reducing p99 workflow evaluation latency by about 40%. Conductor 4.0 separates workflow metadata from task data, moves evaluation to asynchronous processing, and introduces dynamic worker allocation and concurrency controls.

By Leela Kumili

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