scalability | 易学教程

Downsides of storing binary data in Riak?

阅读更多关于 Downsides of storing binary data in Riak?

问题 What are the problems, if any, of storing binary data in Riak? Does it effect the maintainability and performance of the clustering? What would the performance differences be between using Riak for this rather than a distributed file system? 回答1: Adding to @Oscar-Godson's excellent answer, you're likely to experience problems with values much larger than 50MBs. Bitcask is best suited for values that are up to a few KBs. If you're storing large values, you may want to consider alternative

Scalability of variadic templates

阅读更多关于 Scalability of variadic templates

问题 I am working on a large-scale software infrastructure in C++11 that makes extensive use of variadic templates. My question is the following: what is the scalability of this approach? First, is there an upper limit in the number of arguments that variadic templates can take? Second, is code bloat a major issue with state-of-the-art compilers when many arguments are used (and, by extension, many combinations of these arguments that would yield to many different implementations of the templated

DB4O scalability

阅读更多关于 DB4O scalability

I'm looking for information about DB4O object database. I know it has client/server mode, but I have no idea how scalable it is. I'm a big lover of object db idea, but still couldn't find an appropriate OODB to use in any of my projects. So my questions are: I'm interested if anyone deployed DB4O in a multi client environment and how does it perform compared to RDBMS? Is any web app to date powered by DB4O? Can I use DB4O as a replacement for SQL Server (SQL Express at least)? How many concurrent client can DB4O support in practice? Does performance degrades when DB size increases? Thanks P.S.

Two Questions Regarding AWS' RDS Multi AZ

阅读更多关于 Two Questions Regarding AWS' RDS Multi AZ

问题 I understand that when upgrading to a Multi-AZ rds from a Single-AZ, there occurs a "breef i/o freeze". What exactly does that mean? When an upgrade is made to a Multi-AZ deployment, say from small to large, will the production database be impacted at all? Will it be able to use the backup databse, then failover? 回答1: Answers to your questions are written down : When you choose to move from Single AZ to Multi AZ, brief I/O freeze happens. It means that for some duration database won't be

Are there any stable and production quality nosql datastores?

阅读更多关于 Are there any stable and production quality nosql datastores?

问题 Are there are production quality nosql stores that I can use on a production system. I have looked at cassandra, tokyodb, couchdb etc but none of them seem to be ready for deployments on production like environments. I am talking thousands of requests per minute and lots of reads/writes/updates. My only concern is speed and service times. Does anybody know of production systems that use nosql stores effectively ? Does anybody know of a nosql store that is backed by a big enterprise like

Using Subsonic for potentially heavily accessed ASPNET MVC Application

阅读更多关于 Using Subsonic for potentially heavily accessed ASPNET MVC Application

I am about to start a project for a potentially heavily accessed ASPNET MVC application and I was thinking to use Subsonic for my DAL. I have some concern about the ability of Subsonic to handle thousands of concurrent requests. Can anyone give me some examples of popular web sites using Subsonic? Also if you have any suggestion regarding a possible substitute to Subsonic, besides NHibernate, that would be great as well. Thanks Thousands of concurrent requests? Are you sure that's likely? For what it's worth, DotNetKicks uses SubSonic, and never seems to have performance issues. I do about 4

PHP performance considerations?

阅读更多关于 PHP performance considerations?

I'm building a PHP site, but for now the only PHP I'm using is a half-dozen or so includes on certain pages. (I will probably use some database queries eventually.) Are simple include() statements a concern for speed or scaling, as opposed to static HTML ? What kinds of things tend to cause a site to bog down? Strictly speaking, straight HTML will always serve faster than a server-side approach since the server doesn't have to do any interpretation of the code. To answer the bigger question, there are a number of things that will cause your site to bog down; there's just no specific threshold

Suitable way to scale REST API in window Azure to handle thousands of requests

阅读更多关于 Suitable way to scale REST API in window Azure to handle thousands of requests

I have one REST API through which i am allowing to user applications(azure app) to send perfmon data to my DB. Now to load test this REST API I had built one simulator application of 500 webrole with 10 instances of each(total 5000 instances) and every 1 min 50000 (approx) requests are going to post data to REST API and so i require to scale my REST API with best practices to handle this much load. Following are my test cases to scale REST API Medium - 6 Instances => can handle 300 instances's requests Extra large - 2 instance => can handle 300 instances's requests Now my question is this type

Scaling up Multiple HttpWebRequests?

阅读更多关于 Scaling up Multiple HttpWebRequests?

I'm building a server application that needs to perform a lot of http requests to a couple other servers on an ongoing basis. Currently, I'm basically setting up about 30 threads and continuously running HttpWebRequests synchronously on each thread, achieving a throughput of about 30 requests per second. I am indeed setting the ServicePoint ConnectionLimit in the app.config so that's not the limiting factor. I need to scale this up drastically. At the very least I'll need some more CPU horse power, but I'm wondering if I would gain any advantages by using the async methods of the

severside processing vs client side processing + ajax?

阅读更多关于 severside processing vs client side processing + ajax?

问题 looking for some general advice and/or thoughts... i'm creating what i think to be more of a web application then web page, because i intend it to be like a gmail app where you would leave the page open all day long while getting updates "pushed" to the page (for the interested i'm using the comet programming technique). i've never created a web page before that was so rich in ajax and javascript (i am now a huge fan of jquery). because of this, time and time again when i'm implementing a new