June 2016 Blog Posts (3)

Why to choose Web Scraping Service not Web Scraping Software?

As i am writing this post, there are many outstanding web scraping software have been released in the market and also one major exit from the market called as Kimono.

Still i will pitch for Web Scraping Service over Web Scraping Software because of the following reasons :

Web Scraping Software :

Pros :

1. One time fee payment and life time…

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Added by Webdata-scraping on June 15, 2016 at 9:12am — No Comments

Did You Know? Cassandra

The developers at Facebook created the first version of Cassandra because they knew the world needed a new database. The name was chosen from the Greek mythological prophet who could predict the future, but due to a curse put on her, no one believed her.

Added by Michael Levin on June 5, 2016 at 9:08am — No Comments

Why use Amazon EC2 (AWS) Container Services (Docker)

Why use Amazon's container service?

We all experience a common set of tasks when working in IT shops. Someone gets delegated (voluntold) to the task of working with the System Admin, JBoss/Middleware, Security, and Hardware support teams in configuring a brand new set of servers.

Other times we develop an install instructions for JBoss EAP or a database product like MongoDB or Postgress. Then every developer…

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Added by Matt C on June 1, 2016 at 1:54pm — 2 Comments

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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.

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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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

Presentation: Local First – How To Build Software Which Still Works After the Acquihire

Alex Good discusses the fragility of modern cloud-dependent apps and shares a roadmap for "local-first" software. By leveraging a Git-like DAG structure and Automerge, he explains how to move from brittle client-server models to resilient systems where data lives on-device. He explores technical implementation, rich-text merging, and how this infrastructure simplifies engineering workflows.

By Alex Good

Article: Stateful Continuation for AI Agents: Why Transport Layers Now Matter

Agent workflows make transport a first-order concern. Multi-turn, tool-heavy loops amplify overhead that is negligible in single-turn LLM use. Stateful continuation cuts overhead dramatically. Caching context server-side can reduce client-sent data by 80%+ and improve execution time by 15–29% .

By Anirudh Mendiratta

Presentation: State of Play: AI Coding Assistants

Birgitta Böckeler discusses the rapid evolution of AI agents, moving beyond "vibe coding" to sophisticated context engineering. She explains how architectural constraints and "harness engineering" create the safety nets required for autonomous code generation. She shares vital insights for leaders on balancing speed with maintainability, security risks, and the cost of AI autonomy.

By Birgitta Böckeler

Inside Spotify’s 2025 Wrapped Archive: AI Narratives at Scale and the Privacy Trade‑Off

Spotify's engineering team developed the 2025 "Wrapped Archive," generating 1.4 billion personalized reports for 350 million users. This system identifies key listening days and crafts narratives using a language model. As companies increasingly provide narrative recaps, concerns about user privacy and data tracking persist, necessitating a balance between insights and privacy safeguards.

By Matt Foster

Presentation: When Every Bit Counts: How Valkey Rebuilt Its Hashtable for Modern Hardware

Madelyn Olson discusses the evolution of Valkey's data structures, moving away from "textbook" pointer-chasing HashMaps to more cache-aware designs. She explains the implementation of "Swedish" tables to maximize memory density. She shares insights on systems intuition, memory prefetching, and the rigorous testing needed for mission-critical caches.

By Madelyn Olson

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