high_scalability high_scalability-2010 high_scalability-2010-881 knowledge-graph by maker-knowledge-mining
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Introduction: This is a guest post by Frédéric Faure (architect at Ysance ), you can follow him on twitter . How do you scale an AWS (Amazon Web Services) infrastructure? This article will give you a detailed reply in two parts: the tools you can use to make the most of Amazon’s dynamic approach, and the architectural model you should adopt for a scalable infrastructure. I base my report on my experience gained in several AWS production projects in casual gaming (Facebook), e-commerce infrastructures and within the mainstream GIS (Geographic Information System). It’s true that my experience in gaming ( IsCool, The Game ) is currently the most representative in terms of scalability, due to the number of users (over 800 thousand DAU – daily active users – at peak usage and over 20 million page views every day), however my experiences in e-commerce and GIS (currently underway) provide a different view of scalability, taking into account the various problems of availability and da
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1 I will therefore attempt to provide a detailed overview of the factors to take into account in order to optimise the dynamic nature of an infrastructure constructed in a Cloud Computing environment, and in this case, in the AWS environment. [sent-6, score-0.4]
2 Centralised configuration management In order to instantiate multiple servers (EC2) on the fly to counter a load peak or perform occasional procedures, we have to use a centralised configuration management tool. [sent-15, score-0.515]
3 It contains the descriptors of the packages to be installed, configuration files to be pushed and services to be started up for a new EC2 instance in order to prepare it according to the type of node or nodes with which you have associated it, or simply to keep an existing instance updated. [sent-23, score-0.455]
4 It is thus very simple to mount a new instance of a given type, and to be sure that from one server to another, the configuration is identical in every way. [sent-27, score-0.317]
5 Puppet Module Descriptor The centralised configuration manager is indispensable on a scalable infrastructure, which can have a large number of instances, some of which should be mounted rapidly, in order to reply to user requests during load peak. [sent-30, score-0.285]
6 It is however possible to build an AMI or even an EBS root device with the Puppet client installed on it (and to use, if necessary, the user-data at the launch of the instance in order to set the parameters if a ‘static’ configuration on the AMI is not sufficient). [sent-39, score-0.617]
7 Note that Webistrano is an HMI enabling access to the Capistrano features and introducing the notion of project management by managing access to the tasks according to profile, to trace who deployed what on which server and to send email signals in response to certain actions. [sent-65, score-0.339]
8 This data enables corrections to service development or configuration to be carried out after the event, in order to optimise the aforementioned services, and equally to define the resources to be attributed to them in the most effective way. [sent-77, score-0.48]
9 Thread Scoreboard Apache - Yearly - 1 Day Average It should be noted that these tools operate mostly (Centreon, Cacti and Munin) on RRDtool (Round-Robin Database), a database management tool which also enables a graphic representation of the data contained in the base. [sent-85, score-0.331]
10 Give priority therefore to monitoring tools with modular configuration or simple access via APIs. [sent-92, score-0.425]
11 Managing centralised logs It’s undeniable: the more instances you have, the more scattered logs there’ll be on the various instances. [sent-93, score-0.443]
12 Moreover, sending all the logs to the syslog daemon becomes difficult, as the infrastructure components do not necessarily manage it very well (redirection, respecting the syslog protocol, etc. [sent-94, score-0.403]
13 The component can also act as a relay on more complex infrastructures by receiving the network logs from diverse clients and sending them back to the network for a server. [sent-101, score-0.385]
14 It’s a simple and non-intrusive tool able to take into account the logs of scattered applications on a server (even if these logs do not respect the syslog protocol format – there is however an advantage to respecting this protocol: greater accuracy of the facilities and priorities). [sent-104, score-0.579]
15 What stands out are the following: Tools such as centralised configuration managers, tools for the execution in parallel of automated tasks and also log managers, will become even more important. [sent-107, score-0.334]
16 My aim is to help you set up and optimise your infrastructure by understanding how Amazon tools operate and to get the most benefit from them. [sent-116, score-0.288]
17 Furthermore, no reconstruction of onerous index management is required (possible however on the Tokyo Team’s API ‘Table’) … It goes without saying that what’s really time-consuming about data access via the network (between the web or application server and Tokyo Tyrant) is… the network! [sent-152, score-0.436]
18 So in all cases, at the client (API) level you should use ‘mget’ (multi get), for example, by positioning a array of keys that you wish to recover in the parameters rather than performing a ‘get’ N times from the client, therefore creating N network accesses. [sent-153, score-0.311]
19 Or, to see some slightly more complex tests, Google “performance ephemeral disk ebs volume raid” . [sent-185, score-0.459]
20 I have not found any integrated tools satisfactory for this task: I simply use a command line tool “ s3cmd ” in order to store my backups. [sent-201, score-0.345]
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