July 2016 Blog Posts (3)

Going Pro in Data Science

When you're learning data science, you usually practice with nice, clean, pre-packaged data sets and tidy case studies that lead you step-by-step from data collection to cool insights.

But when real life hits, many data scientists have to work with missing or sketchy information extracted from (multiple) sources in the organization. Data science that works is a messy, trial-and-error process of creating and testing hypotheses, gathering evidence, and drawing conclusions.

Going Pro in… Continue

Added by Michael Levin on July 31, 2016 at 2:17pm — No Comments

Call for proposals: The O'Reilly Design Conference

O'Reilly has just opened the call for proposals for their second Design Conference, coming to San Francisco March 19–22, 2017. Got something to share with the design community? Think it over and submit your idea by September 7, 2016.
http://www.oreilly.com/pub/cpc/24650

Added by Michael Levin on July 28, 2016 at 7:55pm — No Comments

Enter for a chance to win!

O'Reilly technology conferences help you change your business—and change the world—by bringing you face-to-face with the knowledge of innovators and practitioners. Discover the right conference for you below and enter to win a Platinum pass!

"The O'Reilly conferences are the gold standard for drawing together a critical mass of thought leaders." —Steve Gillmor, CRN

Link: http://www.oreilly.com/pub/cpc/24305

Added by Michael Levin on July 26, 2016 at 12:39pm — No Comments

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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.

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

Airbnb Implements Context-Aware Identity Model to Support Privacy-First Social Features

Airbnb has redesigned its identity system to support privacy-first social features in Experiences. The platform introduces context-specific profiles that separate global user identity from externally visible profiles, preventing cross-context linkage. The migration leveraged automated auditing, manual validation, and AI-assisted refactoring to enforce correct identity usage across services.

By Leela Kumili

JEP 533 Tightens Exception Handling in Java's Structured Concurrency for JDK 27

JEP 533, Structured Concurrency, has reached integrated status for JDK 27. It refines exception handling and type safety in its API, particularly focusing on exception flow with a new ExecutionException type. Changes include an updated Joiner interface and a new open overload for easier configuration. The steady evolution signals ongoing development as feedback shapes the API.

By A N M Bazlur Rahman

Presentation: What I Learned Building Multi-Agent Systems From Scratch

Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "all-in-one" prompts to lean, narrow-focused agent microservices that slash task times from hours to minutes. He also shares a future-looking hypothesis on using filesystem-based adapters to solve context bloat.

By Paulo Arruda

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 Pandey

Grafana's Pyroscope 2.0 Makes Continuous Profiling Practical at Scale

Grafana Labs has launched Pyroscope 2.0, a rearchitected open-source continuous profiling database. This version improves storage costs, query performance, and operational complexity. Key changes include single write paths for profiles, stateless query processing, and enhanced capabilities for profiling data. It supports the OpenTelemetry Protocol, aligning with current trends in observability.

By Matt Saunders

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