Codetown
Codetown ::: a software developer's community
-
Bradlee Sargent
- Male
- Orlando, FL
- United States
- Blog Posts (2)
- Discussions (6)
- Events
- Groups (11)
- Photos
- Photo Albums
- Videos (1)
Bradlee Sargent's Groups
-
Community Corral
23 members
-
Wikipedia Place
9 members
-
Cloud Computing Village
16 members
Gifts Received
Bradlee Sargent has not received any gifts yet
Bradlee Sargent's Page
Profile Information
- How did you hear about Codetown?
- Going to the java club meetings at Devry University in Orlando Florida
- What are your main interests in software development?
- Developing applications from home working remotely using the Oracle database, Java, HTML, CSS, and even newer technologies.
- Do you have a website?
- http://www.linkedin.com/in/bradlee-sargent-1737853/
- Anything else you'd like to add? Where do you live? (optional!)
- I love the Lord Jesus Christ with all my heart and wish that everyone I know has a chance to get to know the Lord as well.
Bradlee Sargent's Blog
Free web hosting...
Posted on January 3, 2019 at 12:25pm 1 Comment 0 Likes
If I want to develop my own simple web application use it as part of an online portfolio, where do you recommend I do that? I tried openshift but apparently they are currently overloaded with requests.
Attending Campus Crusade's Midsouth Conference...
Posted on December 31, 2009 at 5:47pm 1 Comment 0 Likes
Bradlee Sargent's Videos
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.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
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
© 2026 Created by Michael Levin.
Powered by
Comment Wall (3 comments)
You need to be a member of Codetown to add comments!
Join Codetown
Thanks for the heads up! I can’t post stuff every day. I depend on the members to make content. Please, feel free! Come to the Ojug Tuesday!
Happy birthday, Bradlee! Hope all is well. How's it going?
Best,
Mike