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What are the top Web Development Technologies and Frameworks for 2021?

What are the top Web Development company in USA Technologies and Frameworks for 2021? There are many new technologies coming out every year, but not all of them will be around by 2021. The following list of technologies and frameworks will continue to be popular in the coming years. Most of them are still very new, which makes it difficult to predict what will happen with…

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Added by Tagline Infotech on December 29, 2021 at 10:56pm — No Comments

Happy 10th year, JCertif!

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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 Vedagiri

Uber 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 Kumili

Building 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 Linders

Google 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 Krzaczyński

Presentation: 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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