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June 2014 Blog Posts (3)
Ceylon OJUG & GatorJUG Talk - Please Yo me!
Dear Codetown JUGGIES:
We have a chance for a special Ceylon talk on either Mon 10/13, Fri 10/17, Mon 10/20, or Fri 10/24 in Orlando at OrlandoJUG and/or Gainesville at GatorJUG.
As you all know, OJUG meets 4th Th and GatorJUG meets 2nd Wed and these are Mondays and Fridays, so I need your…
ContinueAdded by Michael Levin on June 27, 2014 at 11:15am — 4 Comments
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…
Added by Michael Levin on June 5, 2014 at 9:02am — No Comments
The Bilingual Developer
These days, it's hard to stick with just one language. Sure, you may be a Java developer or a Rubyist and "not interested" in learning another language. We tend to get comfortable in our comfort zone. But, being a polyglot has its advantages.
Tim Crowley just presented at SunJUG and…
ContinueAdded by Michael Levin on June 4, 2014 at 11:00am — No Comments
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Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
Article: The Mathematics of Backlogs: Capacity Planning for Queue Recovery
Backlogs in distributed systems are arithmetic problems, not mysteries. This article provides practical formulas for calculating backlog drain time, sizing consumer headroom, and setting auto-scaling triggers. It covers key failure modes — retry amplification, metastable states, and cascading pipeline bottlenecks — plus when to shed load instead of draining.
By Rajesh Kumar PandeyDesigning a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab
Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform. The system separates investigation and enhancement workflows using specialized agents coordinated via an orchestration layer. It reduces operational load, improves resolution speed, and shifts engineering effort from firefighting to platform engineering work.
By Leela KumiliPresentation: The AI Gateway: Scaling Centralized Inference Across Decentralized Teams
Meryem Arik discusses why modern engineering teams face "inference chaos" and how AI model gateways provide a critical control layer. She explains the balance between empowering decentralized teams to choose the best models and maintaining centralized oversight for security, RBAC, and cost control. Explore open-source solutions like LiteLLM and Doubleword to streamline your AI infra.
By Meryem ArikOpenAI Outlines WebRTC Architecture for Low-Latency Voice AI at Scale
OpenAI recently outlined how it adapted WebRTC for low-latency voice AI at global scale. The new architecture replaced a conventional media termination model with a relay-transceiver design better suited to Kubernetes and cloud load balancers. It keeps WebRTC session state in a dedicated transceiver layer while using relays to reduce public UDP exposure and keep media routing close to users.
By Eran StillerPip 26.1 Ships Dependency Cooldowns and Experimental Lockfile Support to Combat Supply Chain Attacks
Pip 26.1 ships dependency cooldowns that enforce a waiting period before newly published packages can be installed, and experimental pylock.toml lockfile support from PEP 751. Research shows a 7-day cooldown would have prevented 8 out of 10 analyzed supply chain attacks from reaching end users.
By Steef-Jan Wiggers
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