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Cloud Computing Village Discussions (7)
| Discussions | Replies | Latest Activity |
|---|---|---|
What's the difference between Grid computing and Cloud ComputingI don't clearly catch the difference betwenn these two concept. Someone told me that the essential différence is that the cloud computing g… Started by Hervé-greg MOKWABO |
5 |
Nov 29, 2011 Reply by Hervé-greg MOKWABO |
Searching for Cloud architectureAfter reviewing architecture models from several vendors and industry organizations, I believe we are witnessing an early evolutionary peri… Started by Chris Haddad |
0 | Nov 25, 2011 |
EnsembleEnsemble: service orchestration for the cloud (my work for Ubuntu Server) http://fewbar.com/2011/06/so-what-is-ensemble-anyway - via Jim Ba… Started by Michael Levin |
1 |
Nov 1, 2011 Reply by Michael Levin |
Shameless Plug: New ApplicationHey everyone, Don't know if you remember me but I did the Android class last year. Anyway I just published my first app. It is a pay app b… Started by Jackie Gleason |
1 |
Oct 25, 2011 Reply by Michael Levin |
Issues to Consider with Cloud ComputingThinking about Cloud Computing raises some concerns. Security is one concern that looms in many minds. What are some issues and how can we… Started by Michael Levin |
0 | Oct 25, 2011 |
Advantages of Cloud ComputingAny time we use devices that are detached, remote, or somehow "managed" outside our normal environment, we realize advantages. Some obvious… Started by Michael Levin |
0 | Oct 25, 2011 |
What is Cloud Computing?What is Cloud Computing? Of course, the name Cloud Computing is a metaphor that describes the grouping together of data in a virtual storag… Started by Michael Levin |
0 | Oct 25, 2011 |
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: Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs
Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, circuit breakers, and strong observability. But long‑term speed depends on culture, with teams owning p99, monitoring drift, managing thread pools, and treating performance as a shared, continuous responsibility.
By Saranya VedagiriUber Moves from Static Limits to Priority-Aware Load Control for Distributed Storage
Uber engineers detailed how they evolved their storage platform from static rate limiting to a priority-aware load management system. The approach protects Docstore and Schemaless, Uber’s MySQL-based distributed databases, by colocating control with storage, prioritizing critical traffic, and dynamically shedding load under overload conditions.
By Leela KumiliBuilding Software Organisations Where People Can Thrive
Continuous learning, adaptability, and strong support networks are the foundations for thriving teams, Matthew Card mentioned. Trust is built through consistent, fair leadership and addressing toxic behaviour, bias, and microaggressions early. By fostering growth, psychological safety, and accountability, people-first leadership drives resilience, collaboration, and performance.
By Ben LindersGoogle DeepMind Introduces ATLAS Scaling Laws for Multilingual Language Models
Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the number of supported languages increases.
By Robert KrzaczyńskiPresentation: Foundation Models for Ranking: Challenges, Successes, and Lessons Learned
Moumita Bhattacharya discusses the evolution of Netflix’s ranking systems, from the multi-model architecture to a Unified Contextual Recommender (UniCoRn). She explains how they built a task-agnostic User Foundation Model to capture long-term member preferences. Learn how they solve system challenges like high-throughput inference and the tradeoff between relevance and personalization.
By Moumita Bhattacharya
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