Amazon Web Services lection 6

AWS: architecture patterns
Dmitriy Beseda
Binary Studio
2016

There are lots of metrics to build architecture
● Hardware
● Availability
● Performance
● Data transferring
● Database interaction
● Consistency
● Partitioning
● Security

Amazon Web Services
1. There are ~63 services
2. According to selected region pricing and available services can different

Patterns
48+ patterns to
implement apps

Snapshot
Benefits:
● Limitless cloud storage
● Automating process via API
● S3 as a storage
● Not only data but also OS with settings can be backed up
Cautions:
● You must maintain data consistency when taking snapshots

Stamp Pattern
Benefits:
● You can easily create as many EC2 instances with equal characteristics as you
want.
● You can share AMI to give ability other users to launch such servers
Cautions:
● Hard to upgrade hardware characteristics.
● If you need to launch path - you should do this to all AMIs

Scale up (vertical)
Benefits:
● It is easier to predict necessary resources, because you can upgrade them in
few clicks.
● You pay only what you use
Cautions:
● 30 seconds to few minutes latency during restarting new instance

Scale out
Benefits:
● Easy to increase performance automatically and manually
● Pay only for what you use
Cautions
● Scale group is equal by characteristics
● In case when lots of instances are required - not all can be launched
immediately
● Scale out is pretty difficult

On demand disk size
Benefits:
● You can easily increase/decrease your disk size
● Striping can improve I/O performance
● Secure disk space
Cautions:
● Securing costs for large amount of space (100Gb)
● Max single disk limit - 1Tb

Multi-Server Pattern
Benefits:
● Redundancy provides durability
● Multi region running
● Automation of running new and turning of unnecessary instances
● Ability to spare internet gateways
Cautions:
● Cost (lots of instances can cost more than powerful one)
● Sharing data and synchronization are difficult (db, files, patches, upgrades)

Multi-Datacenter
Benefits:
● You can structure a system that will continue to provide service even when
there is a major failure on the data center level (earthquake and other natural
disaster)
● High speed communication line between neighbors data-centers
● In AWS there are neither initial setup fees nor monthly use fees for each
individual AZ, there is no difference in your cost regardless of whether you use
a single AZ or multiple AZs

Multi-Datacenter
Cautions:
● For Dbs master can be only in one AZ
● During massive data transferring bottleneck problem is possible
● Elastic Load Balancing (ELB) does not support redundant structures that span
regions
● To make maximum fault tolerance it is necessary to launch instances in all AZs,
which is expensive

Floating IP Pattern
Benefits:
● You can swap servers by merely reassigning the EIP, unaffected by the TTL of
the DNS
● Because you can apply EIPs across different Availability Zones (AZs), even if
there were a failure on an AZ level, you can reassign the EIP to a server in a
different AZ
Cautions:
● Switching an EIP normally takes several seconds
● When you make a Secure Shell (SSH) connection to a new instance behind an

Deep Health Check
Benefits:
● This makes it possible for you to check all of the servers required for system
operation (even with details)
Cautions:
● If there is a large number of servers, then the health checks themselves will
contribute to the traffic, so you must carefully consider the timing for the health
checks
● In case with DBs health check will only show a problem which can already set
all service down

Web Storage (Static)
Benefits:
● The use of S3 eliminates the need to worry about network loads and data
capacity
● S3 performs backups in at least three different datacenters, and thus has
extremely high durability
● Because a URL is issued for each content object, the files can be used for a
broad range of purposes, such as file sharing, merely through placement on S3
Cautions:
● Set up correct paths

Private Distribution Pattern
Benefits:
● This enables delivery of private content through time-limited use by specified
users only
● Because the actual content download is performed directly from S3 (rather
than passing through an EC2 instance), the properties of S3 of being robust to
load and to failures are directly applicable
Cautions:
● You must provide a validation system and a server for issuing time-limited
URLs

Cache Distribution
Benefits:
● This makes it possible for you to provide a better user experience to users in
geographically distant places
● This lets you distribute the file download processes, which is useful in load
distribution as well
● You can also use S3 directly as the origin, using it as an origin server
Cautions:
● Data can be old for some period time because of cache

Clone Server
Benefits:
● This lets you perform load distribution through Scale Out easily, without
modifying the existing system
Cautions:
● The master EC2 instance becomes a single point of failure
● If DB runs on master - don’t run it on cloned volumes
● File uploading should be performed only by master instance

Other solutions for Dynamic content
● NFS Share or replicating
● State sharing (locally stateless)
● Proxy patterns

Relational DB Replication patterns

Relational DB Replication patterns
Benefits:
● This makes it possible to continue the operations without loss of data, even in
the case of a disaster or failure
● Switching the access destination to the replicated database lets you apply a
patch to a database without shutting down the system
● If the load in reading from a database is high, you can use this to distribute that
load
Cautions:
● While this makes fail-over to the slave possible when a failure has occurred in

In-memory DB
Benefits:
● You can use high-speed memory for the cache to reduce the load of reading
from the database, improving overall system performance
● You can use ElastiCache to streamline the operation, and ElastiCache is robust
to failures
Cautions:
● Using the cache may require you to modify the program that accesses the
database
● You should consider the trade-offs when caching query results

Benefits:
● You can achieve higher availability through using RDSs as backend databases
for sharding (in Multi-AZ)
● You can distribute the backend databases to multiple regions to provide
improved performance in various regions of a worldwide system
Cautions:
● When the backend databases are distributed to multiple regions, encryption
may be required when communicating with the sharding software

OnDemand NAT Pattern
Benefits:
● This lets you maintain system security because there is no routing of access
from within to the Internet except for during maintenance
● The NAT instance operates only during use, reducing costs
Cautions:
● Because, at the time of maintenance, operations are performed ranging from
starting up the NAT instance through adjusting the routing of the subnets, it is
safest if you automate these operations through a script, so that there will be
no operator errors

Functional Firewall
Benefits:
● Multi-tier access control improves security. The EC2 virtual servers are
grouped by individual functions, eliminating the need to change the virtual
firewall settings even when using the scale-out pattern
Cautions:
● While several different definitions are possible because virtual firewalls are
logical entities, creating too many makes them difficult to understand, so you
need to think about the granularity of the groups

Multi Load Balancer
Benefits:
● The behavior (on the load balancer level) for mobile sites and PC sites can be
different, even when using the same EC2 instance
● Even when multiple SSLs (HTTPS) are used by the same EC2 instance, you can
prepare ELBs for each SSL (HTTP)
Cautions:
● When you use the SSL Termination function of an ELB, the EC2 instance side
will be able to receive requests via HTTP, making it difficult to evaluate the
HTTPS connection by the applications

Amazon Web Services lection 6

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Amazon Web Services lection 6