Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
design for cloud - jax 2012
Search
Mathias Meyer
April 18, 2012
Programming
2
300
design for cloud - jax 2012
Mathias Meyer
April 18, 2012
Tweet
Share
More Decks by Mathias Meyer
See All by Mathias Meyer
Building and Scaling an Distributed and Inclusive Team
roidrage
0
1.3k
cooking infrastructure with chef
roidrage
4
230
The Message Queue is Dead, Long Live the Message Queue
roidrage
4
700
riak-js
roidrage
1
280
designing for concurrency with riak
roidrage
11
1.9k
metrics, monitoring, logging
roidrage
82
15k
A Riak Query Tale
roidrage
5
1k
Don't Use NoSQL
roidrage
10
1.1k
Designing Applications for Amazon Web Services (GOTO Aarhus)
roidrage
6
360
Other Decks in Programming
See All in Programming
alien-signals と自作 OSS で実現する フレームワーク非依存な ロジック共通化の探求 / Exploring Framework-Agnostic Logic Sharing with alien-signals and Custom OSS
aoseyuu
3
5.9k
CloudflareのSandbox SDKを試してみた
syumai
0
120
ビルドプロセスをデバッグしよう!
yt8492
0
280
開発生産性が組織文化になるまでの軌跡
tonegawa07
0
130
SidekiqでAIに商品説明を生成させてみた
akinko_0915
0
130
Module Proxyのマニアックな話 / Niche Topics in Module Proxy
kuro_kurorrr
0
2.6k
マイベストのシンプルなデータ基盤の話 - Googleスイートとのつき合い方 / mybest-simple-data-architecture-google-nized
snhryt
0
140
歴史から学ぶ「Why PHP?」 PHPを書く理由を改めて理解する / Learning from History: “Why PHP?” Rediscovering the Reasons for Writing PHP
seike460
PRO
0
140
Agentに至る道 〜なぜLLMは自動でコードを書けるようになったのか〜
mackee
4
360
Kotlin 2.2が切り拓く: コンテキストパラメータで書く関数型DSLと新しい依存管理のかたち
knih
0
390
エンジニアに事業やプロダクトを理解してもらうためにやってること
murabayashi
0
140
Honoを技術選定したAI要件定義プラットフォームAcsimでの意思決定
codenote
0
110
Featured
See All Featured
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Optimizing for Happiness
mojombo
379
70k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1k
A better future with KSS
kneath
239
18k
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.6k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
36
6.1k
Making Projects Easy
brettharned
120
6.4k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.3k
Principles of Awesome APIs and How to Build Them.
keavy
127
17k
Automating Front-end Workflow
addyosmani
1371
200k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
34
2.5k
Git: the NoSQL Database
bkeepers
PRO
431
66k
Transcript
design for cloud mathias meyer, jax 2012
None
Me — infrastructure — code — databases @roidrage www.paperplanes.de
None
the cloud
None
None
None
10,000 feet
amazon web services
ec2
on-demand computing
api
pay as you go
multiple regions
multiple datacenters
high cpu vs. high memory
elastic block store
more aws products s3 cloudfront cloudformation cloudwatch rds auto scaling
simpledb route 53 load balancing queue service notification service elastic mapreduce
what’s scalarium?
automates: setup configuration one-click deploy
...for ec2 ...on ec2
the dream: configure a cluster push a button boom!
None
None
configuration + cookbooks/manifests + chef/puppet = configured cluster
configuration: chef server rightscale json scalarium
None
in the beginning...
Scalarium
None
None
None
ec2 is not a traditional datacenter
None
None
multi-tenant
high chance of failure
faulty instances
datacenter outage
network partition
more instances = higher chance of failure
mtbf
21/04/2011
None
7/8/2011
None
don’t fear failure
plan for failure
test failure
None
plan for recovery
mttr
None
disaster recovery plan
multi-datacenter deployments
replication
None
multi-region deployments
$$$
relax consistency requirements
latency
keep data local
None
keep data in memory
cache is king
use raids for ebs
use local storage
use bigger instances
scalarium is ~monolithic
cloud ≠ monolithic
cloud ☠ centralized
small, independent services
self-contained
independently deployable
well defined apis
http/json thrift protocol buffers
sinatra dropwizard spark scalatra
fail fast
retry
internal queues
design for resilience
“think about your software running.” theo schlossnagle, omniti
understand your code’s breaking points
isn’t all that what you do at large scale?
cloud == large scale
scalarium today
scalarium runs on scalarium
None
None
None
lack of visibility
don’t fall for service level agreements
amazon only handles infrastructure
how you build on it is up to you
fun fact
amazon.com is served off ec2
thank you!