…Finally, it naturally integrates chain-replication and can thus tolerate faults of both clients and servers. We have fully implemented linear transactions in a commercially available data store. Experiments show that the throughput of this system achieves 1-9× more throughput than MongoDB, Cassandra and HyperDex on the Yahoo! Cloud Serving Benchmark, even though none of the latter systems provide transactional guarantees.
- Kalzumeus Software: Building Highly Reliable Websites For Small Companies
- Engine Yard Developer Blog: MySQL Minutiae: Table Engines
- A Fresh Cup: Double Shot #824
- New Relic: Five Non-Mainstream Databases for PHP Apps - Part 1
- On the Path: Tuning MySQL
- Darwinweb: In Defense of ORMs
…Thumbtack Technology YCSB Benchmark shows Aerospike nearly 10x faster than Cassandra, Couchbase and Mongodb. Read it now!
ScaleOut Software . In-Memory Data Grids for the Enterprise. Download a Free Trial .
LogicMonitor - Hosted monitoring of your entire technology stack. Dashboards, trending graphs, alerting. Try it free and be up and running in just 15 minutes.
AppDynamics is the very first free product designed for troubleshooting Java …
- Merbist: Designing for scalability
- New Relic: Check out NetworkedHelpDesk.org, a new initiative for sharing business-critical data across your company
- terrbear.org: Peeping Tom: A free (open source) site pinger
- MySQL Performance Blog: DotOrg Pavilion and MySQL Community Awards at Percona Live MySQL Conference and Expo 2013
- carpeaqua by Justin Williams: My Ultimate Developer and Power Users Tool List for Mac OS X (2011 Edition)
We tend to think of working hard as a good thing. We value a strong work ethic and determination is the face of adversity. But if you are working harder than you should to get the same results, then it's not a virtue, it's a waste of time and energy. If it's your business systems that are working harder than they should, it's a waste of your IT budget.
Dynamo based systems work too hard. SimpleDB/DynamoDB, Riak, Cassandra and Voldemort are all based, at least in part, …
- ZURB: Start Here, Build Everywhere: Announcing Foundation
- High Scalability: The State of NoSQL in 2012
- paperplanes: A Tour of Amazon's DynamoDB
- New Relic: Why I Love Working at New Relic: Chris Kelly, Developer/Evangelist
- How Software is Built: Interview with Eliot Horowitz - CTO of 10gen / MongoDB
- Scottish Ruby Conference: Brightbox - Gold Sponsors
Topic: "MariaDB Cassandra Interoperability"
Monty Widenius and Sergei Golubchik, VP Architecture, Monty Program Ab
Topic: "Replication Changes in MariaDB"
Sergei Golubchik, VP Architecture, Monty Program Ab
Topic: "Storage Engines and Other Plugins: What's New?"
The Percona Live MySQL Conference includes a Diamond Sponsor Keynote panel on Wednesday morning on the "Impact of MySQL 5.6 …
- MySQL Performance Blog: Is your MySQL buffer pool warm? Make it sweat!
- New Relic: More on Managing Real World Rails Apps at Massive Scale: An Interview with Joshua Warchol, Vice President of Technology at Fanzt
- Engine Yard Developer Blog: MySQL 5.5 and 5.1 Support in Alpha
- till's blog: Hosted MySQL: Amazon RDS (and backups)
- Damien Katz: Follow up to "The Unreasonable Effectiveness of C"
- Viget.com Blogs: Regular Expressions in MySQL
…terabytes of ephemeral local SSD storage. Databases such as Riak, Cassandra, and MongoDB can take advantage of super fast reads and writes while avoiding data loss in clustered environments.
The key word is ephemeral—if your instance dies, so does your data. This is why we would only recommend the use of local SSDs in clustered database setups (with three or more nodes) or for use in applications where data can safely be lost.
Enabling The Feature
We have created an early access …
- Gears Within Gears: Microsoft technology isn't what killed MySpace
- Giles Bowkett: Secrets Of Superstar Programmer Productivity: Flow
- MySQL Performance Blog: PLMCE High Availability Deep Dive slides and Document
- oldmoe: Meet Hamza
- ZURB: 3 Tips To Grab Users' Attention in First 5 Seconds
- Axon Flux // A Ruby on Rails Blog: Scaling Facebook vs Scaling Digg: It's a question of disk vs RAM
…the better-known NoSQL databases, including Riak, Redis, Cassandra, CouchDB and MongoDB. That was in early 2011. I wrote a chapter on MongoDB, but it didn't feel right to me, so I tried a different approach on the Riak chapter, much more focused on being practical and introducing the user-facing concepts in a streamlined way, building up as the book progresses.
That approach felt much more natural to me, so eventually I started on the Redis chapter and thought I nailed it. …
- Engine Yard Developer Blog: Engine Yard Documentation 2.0
- 録音@Skype: Speaking at DevNation Portland
- High Scalability: Riak's Bitcask - A Log-Structured Hash Table for Fast Key/Value Data
- A Fresh Cup: Double Shot #776
- Paul Gross's Blog: Untangle Domain and Persistence Logic with Curator
- techno weenie: Nori: Node.js Riak wrapper
…solutions
Working towards a GA release for MySQL 5.5 (currently in beta)
Additionally, we are actively working on expanding the supported NoSQL stack on Engine Yard Managed. Are you an Engine Yard Managed customer interested in Riak or Cassandra? Let us know!
Remember that you can always influence our roadmap by submitting data feature requests .
- Engine Yard Developer Blog: PostgreSQL is Our New Default
- Engine Yard Developer Blog: Spring Product Updates
- How Software is Built: Interview with Ezra Zygmuntowicz - Engine Yard
- DevInterface Blog: How to install PostgreSQL and psycopg2 on Osx Snow Leopard
- PeepCode Products: Meet PostgreSQL
- giant robots smashing into other giant robots: PostgreSQL Conf East
Data in Cassandra looks like a multi-level dict.
By default, Cassandra eats 1/2 of your RAM. You might want to change that ;)
He uses pycassa for his client. It's the simplest approach.
telephus is a Cassandra client for Twisted.
cassandra-dbapi2 is a Cassandra client that supports DBAPI2. It's based on Cassandra's new CQL interface.
Don't use pure Thrift to talk to Cassandra.
Cassandra is good about scaling up linearly.
There's a batch …
- Spyced: Cassandra in action
- Mike Perham: Cassandra Internals - Writing
- Ruby News: Red Dirt RubyConf 2010
- James on Software: Opinionated Modular Code
- High Scalability: NoSQL on the Microsoft Platform
- New Relic: Community News: Monitoring Alfresco with New Relic, slowing down the speed of change and more
…to do as effectively in prose alone. Sylvain's talk on the Cassandra storage engine at FOSDEM 2012 is a good example. Starting at about 22:00, he explains how Cassandra uses log-structured merge trees to turn random writes into sequential i/ o. Compare that with the treatment in the Bigtable paper , or the original LSTM paper . Sylvain's explanation is much more clear by virtue of how it's presented.
I avoid audio or video during my …
- High Scalability: Hot Scalability Links for February 24, 2010
- AkitaOnRails.com - English: [RailsConf 2010] - Video Interviews - Part 1
- Axon Flux // A Ruby on Rails Blog: What if Foursquare wasn't using MongoDB and was using something else?
- Ruby News: Red Dirt RubyConf 2010
- till's blog: My Berlin Buzzwords 2010 recap
- The "Tech. Arch.": Camping light (nosql) with MongoDB
…Google's BigTable, Hadoop's HBase, and Cassandra amongst others are all using a variant or a direct copy of this very architecture.
Simple on the surface, but as usual, implementation details matter a great deal. Thankfully, Jeff Dean and Sanjay Ghemawat , the original contributors to the SSTable and BigTable infrastructure at Google released LevelDB earlier last year , which is more or less an exact replica of the architecture we've …
- Labnotes: Rounded Corners 330 - Bashed
- Trevor Turk: Links for 09-26-11