BizTalk Caching Pattern UPDATED: 24th August 2007, to reflect Richard Seroter's comment There is no necessity to explain the importance of caching in any server based developments like BizTalk, ASP .NET etc. You need to plan early in your development cycle to cache resources in order to make most out of your limited server resources. spymemcached A simple, asynchronous, single-threaded memcached client written in java. Efficient storage of objects. General serializable objects are stored in their serialized form and optionally compressed if they meet criteria. Certain native objects are stored as tightly as possible (for example, a Date object generally consumes six bytes, and a Long can be anywhere from zero to eight bytes). Resilient to server and network outages. In many cases, a client operation can be replayed against a server if it goes away and comes back.
JCS - Java Caching System Java Caching System JCS is a distributed caching system written in java. It is intended to speed up applications by providing a means to manage cached data of various dynamic natures. Like any caching system, JCS is most useful for high read, low put applications. Algorithms 101 - How to eliminate redundant cache misses in a distributed cache I'm going to jump right in to a fairly complex subject, for background check out my recent Distributed Cache Webcast here: Online Training. In the Webcast, I wrote a simple caching service that fronts a simple "GetService" method. I define "GetService" as some service that, for a given key, can retrieve a given value. Pretty basic stuff, if you have ever implemented a SQL query, a Web Service client, or something similar, you can probably envision the implementation.
A Bunch of Great Strategies for Using Memcached and MySQL Better The primero recommendation for speeding up a website is almost always to add cache and more cache. And after that add a little more cache just in case. Memcached is almost always given as the recommended cache to use. What we don't often hear is how to effectively use a cache in our own products. MySQL hosted two excellent webinars (referenced below) on the subject of how to deploy and use memcached. Intro to Caching,Caching algorithms and caching frameworks part A lot of us heard the word cache and when you ask them about caching they give you a perfect answer but they don’t know how it is built, or on which criteria I should favor this caching framework over that one and so on, in this article we are going to talk about Caching, Caching Algorithms and caching frameworks and which is better than the other. The Interview: "Caching is a temp location where I store data in (data that I need it frequently) as the original data is expensive to be fetched, so I can retrieve it faster
memcached Basics for Rails Many speedy sites use memcached to save the results of expensive database queries and intense rendered templates. This is a basic introduction to using memcached with Rails. Thanks to Eric Hodel and Layton Wedgeworth who have answered many questions. Yes, there is a hash in the sky Memcached is a lightweight server process that stakes out a fixed amount of memory and makes it available as a quick access object cache. Some of the things you can do with it are: A peek at memcached's implementation I am a huge fan of memcached and we use it a lot on Plurk . Why to like memcached: it's a very simple protocol and supported for a lot of languages it's used by web-giants ( Facebook has now 25 terabytes of memcached cache ) it performs really well Speed Up Your Hibernate Applications with Second-Level Caching igh-volume database traffic is a frequent cause of performance problems in Web applications. Hibernate is a high-performance, object/relational persistence and query service, but it won't solve all your performance issues without a little help. In many cases, second-level caching can be just what Hibernate needs to realize its full performance-handling potential. This article examines Hibernate's caching functionalities and shows how you can use them to significantly boost application performance. An Introduction to Caching
Big Dave’s Blog » Blog Archive » Ruby Background Tasks with Starling - Part 3 In my previous post, I went over the changes I made to Workling to add threading and allow it to run for long periods. Now, we need to deploy and monitor everything. In the Linux word, there are several options, but monit seems to be the most popular. However, I wanted to give god.rb a shot. God.rb is basically a clone of monit written in Ruby.
In-Memory Caching: Why We Can't Just Trust the Database to I remember taking an operating systems class in college and marveling at the fact that operating system design seemed less about elegant engineering and more about [what I viewed at the time as] performance hacks. I saw a similar sentiment recently captured by Eric Florenzano in his post It's Caches All the Way Down where he starts describing how a computer works to a friend and ends up talking about the various layers of caching from CPU registers to L2 caches to RAM and so on. At the end of his post Eric Florenzano asks the following question I've often heard at work and in developer forums like programming.reddit
The Role of Caching in Large Scale Architecture We Recommend These Resources Pre-Internet, lots of systems were built without caches. The need to scale has led to the widespread deployment of caching. Most of the open source caching projects grew out of internal efforts to solve performance problems for specific web sites. Ehcache, the most widely deployed Java cache, was originally developed at Wotif.com. And Memcached was developed for LiveJournal.com.
Using memcached Want to receive a weekly email containing the scoop on our new titles along with the occasional special offer? Just click the button. (You can always unsubscribe later by editing your account information). Give us an email and a password (you can use the password later to log in and change your preferences). We'll send you a newsletter roughly once a week.