remodel your persistence layer
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This document discusses remodel, an ORM that maps Ruby objects to Redis to provide fast and scalable data storage. It highlights that remodel is faster than MySQL for read and write operations since it stores data in memory instead of disk. The document demonstrates remodel's features like associations and basic validations and notes its current alpha status and roadmap for improvements.
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Beyond Devops
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All Your Core Are Belong To Us
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Podularity FTW!
Podularity FTW!Tim Lossen The document discusses the benefits of a podular or cellular organizational structure for companies. It notes that supercell organizes into independent teams called "cells" that are given autonomy. The structure promotes connections between people and communication. It also mentions benefits like onboarding, weekly status updates, lunch and learning sessions as part of the culture.
Cubic Foot Gardening
Cubic Foot GardeningTim Lossen A raised bed or high bed is a bed with sides that is elevated from the surrounding ground. It is used in gardening to grow vegetables and other plants. Square foot gardening is a gardening technique where plants are grown in modular raised beds divided into one-foot squares to efficiently use small spaces and make gardening easier.
Dashboard Mania
Dashboard ManiaTim Lossen The document discusses using dashboards and information radiators to track key metrics and provide visibility. It provides examples of metrics that could be tracked, such as requests per second and installs per minute. It also discusses Kafka, a tool for building real-time data pipelines and streaming applications, and how it provides high-throughput, persistent, publish-subscribe messaging capabilities. The document recommends not flying blind, checking out Kafka, and being creative with dashboards and information radiators.
Event-Stream Processing with Kafka
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Into the Void
Into the VoidTim Lossen Tim Lossen discusses the challenges of building social games at Wooga including high traffic of 2 million users and 15 million visits per day, and storing large amounts of user data for their 40 million total users. He notes that hot game data needs fast access and questions whether a database is even needed. Lossen also provides recommendations on using Amazon S3 for storage, the JRuby programming language, and challenging assumptions in their systems.
Treasure Island -- Concurrency in JRuby
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Dashboard Mania
Dashboard ManiaTim Lossen This document discusses dashboard mania and provides examples and links related to monitoring technologies like Apache Kafka and Librato metrics. It also includes a quote about the explanatory power of mania from author Stephen King and contact information for job opportunities at Wooga.
JRuby vs. Rubinius
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video:
http://www.youtube.com/watch?v=AYYGage3B-I
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Redis to the Rescue?Tim Lossen The document discusses how the mobile game company wooga used Redis as the data store for their Facebook game Happy Hospital to achieve their goals of 1 million daily active users with a small production cluster. It describes their data model of storing user and game entity data in Redis hashes and lists, and how their architecture evolved over time from the initial setup in 2010 to the current production setup in 2011 to address Redis limitations around memory usage and durability. The document highlights Redis' performance and stability but also warns of memory consumption and durability issues.
Redis to the Rescue?
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The Smallest Cluster in the World
The Smallest Cluster in the WorldTim Lossen The document discusses the GA144, the smallest computer cluster in the world. It is a single-chip system with 144 processing nodes, each with 20KB of memory, capable of 96 billion operations per second while consuming only 14-650 milliwatts of power. It provides parallel processing capabilities on a small scale and is being used for applications like cryptography, signal processing, and neural networks.
Memory: The New Disk
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An Introduction to Membase
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Petascale Storage -- Do It Yourself!
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(lightning talk at devopdays usa, 2010-06-25)
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remodel your persistence layer
- 2. ORM
- 4. “People that are wrapping ORM’s around redis are missing the point.” — Nate Wiger
- 5. OMG
- 6. why replace mysql with remodel + redis ?
- 7. “Memory is the new Disk. Disk is the new Tape.” — Jim Gray
- 9. mysql • read scaling • vertical: more memory • horizontal: master-slave replication • write scaling • vertical: more / faster disks (raid, ssd ...) • horizontal: sharding
- 10. “You are not Facebook.” — me
- 11. redis • ~ 100K ops / second (read or write) • read scaling? • probably not necessary • write scaling • probably not necessary • (but sharding is possible)
- 12. remodel • “minimal” object mapper • mapping strategy: • unique key prefix per entity class • serialize properties to json • store associations as separate keys • less than 300 lines of ruby
- 13. features • supports all basic ruby / json types • plus custom mappers (date, time ...) • associations • one-to-many / many-to-one • one-to-one, many-to-many
- 15. demo time! flickr.com/photos/78918694@N00/3519713609
- 16. limitations • only very basic validations • use ActiveModel::Validations • no complex finders • not supported by redis • maybe somebody wants to build redis-lucene ?
- 17. roadmap • current status — alpha (0.1.0) • next month: • “eat your own dogfood” • bugfixing • documentation • beta release
- 18. ideas • find_by(with ohm-like indexes) • optimistic locking • re-implement in node.js • .... what else ?
- 19. ??