1 Designing Apps for Amazon Web Services Mathias Meyer, GOTO Aarhus 2011 Montag, 10. Oktober 11
2 Montag, 10. Oktober 11
3 Me infrastructure code Montag, 10. Oktober 11
4 Montag, 10. Oktober 11 Unlimited resources, whenever you need them The Cloud
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8 Montag, 10. Oktober 11 10,000 feet
9 Amazon Web Services Montag, 10. Oktober 11
10 Montag, 10. Oktober 11 EC2
11 On-demand computing Montag, 10. Oktober 11 Utility computing
12 Montag, 10. Oktober 11 It s not a cloud if it doesn t have an API. API
13 Montag, 10. Oktober 11 Pay as you go
14 Multiple regions Montag, 10. Oktober 11 Geographically distributed, for all web services. US East, West, EU, Singapore, Japan
15 Multiple datacenters Montag, 10. Oktober 11 Called availability zones. At least two data centers in each region. Physically separated locations. API endpoint for a region is unspecific for availability zones
16 Different instance types Montag, 10. Oktober 11
17 High CPU vs. High memory Montag, 10. Oktober 11 One CPU core is about the power of a 2007 Xeon processor.
18 1.7 GB - 68 GB Montag, 10. Oktober 11
19 Elastic Block Store Montag, 10. Oktober 11 Storage on instances is ephemeral. Goes away when the instance goes away. EBS allows persisting data for longer than an instance s lifetime. Bound to a data center.
20 Mount to any instance Montag, 10. Oktober 11 A big number of block volumes can be mounted to a single instance.
21 Montag, 10. Oktober 11 A point in time, atomic snapshot of an EBS volume. Not a reliable means of backup, but one means for backups. Snapshots
22 More AWS Products S3 CloudFront CloudFormation CloudWatch RDS Auto Scaling SimpleDB Route 53 Load Balancing Queue Service Notification Service Elastic MapReduce Montag, 10. Oktober 11
23 Montag, 10. Oktober 11 What s Scalarium?
24 Automates: Setup Configuration One-Click Deploy Montag, 10. Oktober 11
25 ...for EC2...on EC2 Montag, 10. Oktober 11 Scalarium uses a couple of Amazon s Web services EC2 is the most interesting one Own monitoring, because customers like saving money, CloudWatch costs money
26 Montag, 10. Oktober 11 Scalarium automates so that customers don t have to. Most important part about deploying in the cloud. Every manual change is lost when an instance goes down. Automation
27 The Dream: Configure a cluster Push a button Boom! Montag, 10. Oktober 11
28 Montag, 10. Oktober 11 Two ways...
29 Montag, 10. Oktober 11 Create image, boot it.
30 Build once, use forever Montag, 10. Oktober 11 Point in time snapshot of a system, fully configured. App server, database, web server, etc.
31 How do you handle updates? Montag, 10. Oktober 11 Build a new image, install updates, discard old image. Lather, rinse, repeat, with every update.
32 Configure from scratch Montag, 10. Oktober 11
33 Montag, 10. Oktober 11 Start with a blank slate. A clean operating system installation.
34 Montag, 10. Oktober 11 Use a configuration management tool. Abstracts installation of packages, writing of configuration files, handling file systems, etc.
35 Configuration + Cookbooks/Manifests + Chef/Puppet/etc. = Configured cluster Montag, 10. Oktober 11 Configuration describes the final result of what the system should look like.
36 Configuration: Chef Server RightScale JSON Scalarium Montag, 10. Oktober 11 There s an infinite numbers of infrastructure service providers. Just as many ways to store cluster configuration
37 Montag, 10. Oktober 11 A Web UI to automate and simplify the Amazon APIs and setting up servers/clusters.
38 Montag, 10. Oktober 11 In the beginning...
39 Montag, 10. Oktober 11 Lasted for a few months on just one instance. Instance ran RabbitMQ, CouchDB, Redis, background workers, web and application servers. Bootstrapped startup = start small, iterate quickly. Scalarium
40 Montag, 10. Oktober 11 Eventually became overloaded.
41 Montag, 10. Oktober 11
42 Montag, 10. Oktober 11
43 Automate, automate, automate! Montag, 10. Oktober 11 Chef for everything. Yes, our first isntance was not fully automated. Hypocratic. Vagrant is an excellent tool to test locally. Scalarium customers can test their own and our cookbooks locally. Automate setup, configuration, re-configuration of services, everything!
44 EC2 is not a traditional datacenter Montag, 10. Oktober 11
45 Montag, 10. Oktober 11 It doesn t look like this.
46 Montag, 10. Oktober 11 Still looks like this. But it s transparent to you. No operational access to you.
47 Multi-tenant Montag, 10. Oktober 11 Shared resources (CPU, memory, network). You instance likely shares resources with several other EC2 customers on the same physical host.
48 High likelihood of failure Montag, 10. Oktober 11 It s still hardware that s running your servers. Hardware fails.
49 Faulty instances Montag, 10. Oktober 11 They fail, not all the time, but if you have high turnover scaling up and down, they ll fail. Discard, boot new instance, done.
50 Montag, 10. Oktober 11 Datacenter outage
51 Montag, 10. Oktober 11 Network partition
52 More instances = Higher chance of failure Montag, 10. Oktober 11
53 MTBF Montag, 10. Oktober 11 Mean Time Between Failures On EC2 as a whole it s pretty small. Not an important metric. Just because something fails doesn t mean you have to be affected.
54 Montag, 10. Oktober 11 US-East data centers become unavailable. Cascading failures in EBS storage. Recovery took four days. 21/04/2011
55 Montag, 10. Oktober 11 The big chance for nay-sayers and cloud haters.
56 Montag, 10. Oktober 11 The big chance for nay-sayers and cloud haters.
57 Montag, 10. Oktober 11 The big chance for nay-sayers and cloud haters.
58 Montag, 10. Oktober 11 The big chance for nay-sayers and cloud haters.
59 Montag, 10. Oktober 11 The big chance for nay-sayers and cloud haters.
60 Montag, 10. Oktober 11 Downtime in EU data centers. Lightning strike caused power outage. Again, cascading failure in the EBS storage layer. More than three days til full recovery. 7/8/2011
61 Montag, 10. Oktober 11
62 Montag, 10. Oktober 11
63 Failure is a good thing Montag, 10. Oktober 11
64 Montag, 10. Oktober 11 You can ignore it
65 Montag, 10. Oktober 11 Learn from it
66 Montag, 10. Oktober 11 Design for it
67 Montag, 10. Oktober 11 Don t fear failure
68 Plan for failure Montag, 10. Oktober 11 Failure becomes a part of your apps lifecycle. Deploying in the cloud has a bigger effect on culture than it does on your application.
69 Design for resilience Montag, 10. Oktober 11 In case of failures, you app should handle them gracefully, not breaking along the way entirely. Serve statics instead of failure notices to the user.
70 Plan for recovery Montag, 10. Oktober 11 Can you re-deploy your app into a different region quickly? If not, why not?
71 Montag, 10. Oktober 11 MTTR
72 Disaster recovery plan Montag, 10. Oktober 11 What do you do when your site goes down? What do you do when you need to restore data? Plan, verify, one click.
73 Multi-datacenter deployments Montag, 10. Oktober 11 Deploy App across multiple data centers/availability zones. Make deploying to different data centers part of the deployment process. Staged deployments: new set of instance, flip load balancer.
74 Montag, 10. Oktober 11 Storage becomes a key part in handling failure. Everything else is usually much easier to scale and distribute. Replicate data across availability zones, across regions. Replication
75 Montag, 10. Oktober 11 Availability zones are geographically distributed Reading from in between them means increased latency Replication ensures data is in multiple geographic locations. Replication allows to recover quickly by moving to different data centers. Not all databases do this well, but they do it
76 Multi-region deployments Montag, 10. Oktober 11 If you need to be very highly available.
77 Montag, 10. Oktober 11 Deploying highly distributed is expensive. How distributed is up to your budget. And to how much your availability is worth to your business. $$$
78 Relax consistency requirements Montag, 10. Oktober 11 Strong consistency increases need for full availability Distribute and partition data, on different instances and different datacenters
79 Latency Montag, 10. Oktober 11 Immediately became an issue when we scaled out. Network latency adds to EBS latency and made for higher response times from the database. All network traffic on EC2 is firewalled, even internal traffic.
80 Montag, 10. Oktober 11 Keep data local
81 Montag, 10. Oktober 11
82 Montag, 10. Oktober 11 Keep data in memory
83 Montag, 10. Oktober 11 Disk is expensive because it touches the network. Cache is king
84 Use RAIDs for EBS Montag, 10. Oktober 11 Increased performance, better network utilization EBS performance is okay, but not great. Don t expect SATA or SAS like performance. RAID 0, 5 or 10. EBS is redundant, but extra reduncany with striping doesn t hurt. More likely recovery when one EBS volume fails. RAIDs won t save you from EBS unavailability.
85 Use local storage Montag, 10. Oktober 11 Don t use EBS at all. Local storage requires redundancy. Instance storage is lost when the instance is lost. RAID across local storage. More reliable in terms of I/O than EBS. Services that uses local storage where mostly unaffected by the EC2 outages.
86 Use bigger instances Montag, 10. Oktober 11 The bigger your instance the less shared it is on the host. Bigger instances have higher I/O throughput.
87 What would I do differently? Montag, 10. Oktober 11
88 Small services Montag, 10. Oktober 11 Small services can run independent of each other. Small services are easy to deploy, easy to reconfigure (Chef). Don t have to know about all the other services upfront, leave that to CM tools. Layered system with small services allows failure handling on every layer. Failure in one layer doesn t have to drag down the rest.
89 Frontend vs. Small APIs Montag, 10. Oktober 11
90 Fail fast Montag, 10. Oktober 11 When components fail, don t block waiting for them. Timeout quickly. Circuit breaker: track failures and fail operations immediately if you know they re likely to fail. recover when it s safe again.
91 Montag, 10. Oktober 11 Retry with an exponential backoff. Assume failure always. Retry
92 Don t just assume failure Montag, 10. Oktober 11
93 Test failure Montag, 10. Oktober 11 Shut off instances randomly, see what happens. Turn on the firewall, adds network timeouts, see what happens. The cloud makes it so easy to bring up test environments, and to move resources quickly when necessary.
95 Think about your software running. Theo Schlossnagle, OmniTI Montag, 10. Oktober 11
96 Understand your code s breaking points Montag, 10. Oktober 11 Use patterns like circuit breakers and bulkheads to reduce failure points Think about outcome and implications, not just features. Understand your code s breaking points and how they handle unavailability, timeouts, and the like. All these are so much more likely in a cloud environment.
97 Isn t all that what you do at large scale? Montag, 10. Oktober 11 It s what you do at any scale where availability is a factor.
98 Cloud == Large scale Montag, 10. Oktober 11
99 You re a part of it Montag, 10. Oktober 11 Prepare for the worst, plan for the worst. The cloud made failure at a large scale obvious even when you re working at a small scale.
100 Montag, 10. Oktober 11 Scalarium today
101 Scalarium runs on Scalarium Montag, 10. Oktober 11
102 Montag, 10. Oktober 11 Easy to boot up somewhere else, switch over DNS, done.
103 Montag, 10. Oktober 11
104 Montag, 10. Oktober 11
105 Lack of visibility Montag, 10. Oktober 11 Takes up to an hour still to acknowledge problems. Amazon is not good at admitting failure happens a lot on EC2. Not enough education on how to build apps for EC2 and their web services, especially how to deal with failure.
106 Montag, 10. Oktober 11 Don t fall for SLAs
107 Amazon only handles infrastructure Montag, 10. Oktober 11
108 How you build on it is up to you Montag, 10. Oktober 11
109 Montag, 10. Oktober 11 Fun fact
110 amazon.com is served off EC2 Montag, 10. Oktober 11 Since 21/10/2010. Yes, they were down too, at least during the EU outage.
111 It s not the cloud that matters, it s how you use it. Montag, 10. Oktober 11 EC2 doesn t make everything harder, quite the opposite, it makes things easier: Adding capacity, automation, responding to failures.
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