Key-Value System Benchmarks * Vina Key-Value Store System Benchmark * Redis vs MySQL vs Tokyo Tyrant (on EC2) * Redis Benchmark Articles * The Pathologies of Big Data * Building Scalable Web Services * High Performance Website * How do I model a state? Let Me Count the Ways Presentation * Even Faster Web sites * Art of Parallelism
Scalability
The High Scalable Systems (i.e. Websites) such as: Google, Facebook, Amazon, etc. need high scalable storage system that can deal with huge amount of data with high availability and reliability. Building large systems on top of a traditional RDBMS data storage layer is no longer good enough. This presentation
databases
This article not about Mariah Carey, or its song. It's about Storing System, Database. First let's describe what means by odds: In my social network, I found 93% of the mainstream developers sanctify the database, or at least consider it in any data persistence challenge as
server architecture
There are a lot of questions about how the server components, and how to build perfect server with consider the power consumption. Today I will discuss the Server components, and how we can choice better server components with consider the power consumption, efficacy, performance, and price. Key points: * What kind
Parallelism
This presentation about parallel computing, and it’s discover the following topic: * What is parallelism? * Why now? * How it’s works? * What is the current options * Parallel Runtime Library. (for more information go there) Note: All of my presentation is open source, so feel free to copy it, use it,
Parallelism
Multicore computers shift the burden of software performance from chip designers and architects to software developers. What is the parallel Computing ? and what the different between Multi-Threading and Concurrency and Parallelism ? and what is differences between task and data parallel ? and how we can use it ? Fundamental article into Parallel
Parallelism
The Future of the Parallelism and its Challenges Research and education in Parallel computing technologies is more important than ever. Here I present a perspective on the past contributions, current status, and future direction of the parallelism technologies. While machine power will grow impressively, increased parallelism, rather than clock rate,
Database
Database Optimize patterns Most of websites and enterprise application rely on the database backing them to store the application and customer data. So at some point the database could be the main performance and scalability bottleneck for your system performance, so I ‘m here today to cure this! key points:
distributed systems
Art of Distributed Part 1: Rethinking about distributed computing models I ‘m getting a lot of questions lately about the distributed computing, especially distributed computing model, and MapReduce, such as: What is MapReduce? Can MapReduce fit in all situations? How we can compares it with other technologies such as Grid
hardware
There are a lot of questions about the server components, and how to choice and/or build perfect server with consider the power consumption. So I decide to write about this topic. Key Points: * What kind of components the servers needs * The Green Computing and the Servers components. * How much
Scalability
For those interested in building scalable systems, today I will speak about the Facebook Char architecture. Starting keynote: ''When your feature’s userbase will go from 0 to 70 million practically overnight, scalability has to be baked in from the start.'' Eugene Lutuchy, lead engineer on
Scalability
Learned lessons from the largest player (Flickr, YouTube, Google, etc) I would like to write today about some learned lessons from the biggest player in the high Scalable Web application. I will divide the lessons into 4 points: * Start slow, and small, and measuring the right thing. * Vertical Scalability vs.