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© 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Colm MacCárthaigh – AWS Principal Engineer
October 2015
CMP401
Elastic Load Balancing
Deep Dive and Best Practices
Elastic Load Balancing
Security Scalability Availability
Security
Threat modeling
SSL/TLS SSL security policies
• Same-day mitigation for POODLE
• Same-day mitigation for LogJam
• Same-day mitigation for Heartbleed
• RC4 removed in advance of ratings and compliance
changes
SSL/TLS management
SSL/TLS cipher suites
• Always prefer perfect forward secrecy
• Prefer AES over 3DES over RC4
• Prefer GCM over CBC + HMAC
• Compare against billions of connections from real-world
clients
SSL/TLS cipher suites
• Legacy clients can cause compatibility issues
• Old firmware in embedded systems
• TVs, controllers, web scrapers…
• ELB defaults strike a balance
• Access log gap analysis
• We recommend ELBSecurityPolicy-2015-05
Elastic Load Balancing
2015-05-13T23:39:43.945958Z my-loadbalancer
192.168.131.39:2817 10.0.0.1:80 0.000086 0.001048
0.001337 200 200 0 57 "GET
https://www.example.com:443/ HTTP/1.1” "curl/7.38.0"
DHE-RSA-AES128-SHA TLSv1.2
S3
Elastic Load Balancing
2015-05-13T23:39:43.945958Z my-loadbalancer
192.168.131.39:2817 10.0.0.1:80 0.000086 0.001048
0.001337 200 200 0 57 "GET
https://www.example.com:443/ HTTP/1.1” "curl/7.38.0"
DHE-RSA-AES128-SHA TLSv1.2
Elastic Load Balancing
2015-05-13T23:39:43.945958Z my-loadbalancer
192.168.131.39:2817 10.0.0.1:80 0.000086 0.001048
0.001337 200 200 0 57 "GET
https://www.example.com:443/ HTTP/1.1” "curl/7.38.0"
DHE-RSA-AES128-SHA TLSv1.2
ELB and security compartmentalization
Public subnet
Private subnet
ELB and security compartmentalization
Public subnet
Private subnet
ELB and security compartmentalization
Public subnet
Private subnet
ELB and security compartmentalization
Public subnet
Private subnet
ELB and security compartmentalization
Public subnet
Private subnet
ELB and security compartmentalization
Public subnet
Private subnet
Threat modeling
Scalability
Scalability
L = λW
Scalability
W = L / λ
Scalability
Latency = Load /
Throughput
Scalability
Memory Latency
Scalability
Caching and cache misses
Scalability
Processing time
Count
Scalability
GET / HTTP/1.1
GET /monthly_report/ HTTP/1.1
Scalability
Processing time
Count
Scalability
Wait time
Count
Scalability
Scalability
Wait time
Count
Weighed Round Robin
Single server
Scalability
Scalability
Wait time
Count
Weighed Round Robin
Single server
Least Connections
Scalability
Wait time
Count
Beware of
blackholing
traffic
Weighed Round Robin
Single server
Least Connections
ELB’s own scaling is a mix of preemptive, based
on the instance capacity you add, and reactive,
based on the load you receive.
CloudWatch and Auto Scaling
All load balancer metrics can be used for Auto Scaling.
Allow you to scale dynamically based on the load
balancers' view of the application.
Important to consider all metrics when using
Auto Scaling; may not be aware of resource
contention on another metric.
You may be at peak multiple times a day.
13 CloudWatch metrics provided for each load
balancer.
Provide detailed insight into the health of the load
balancer and application stack.
CloudWatch alarms can be configured to notify or
take action, in case any metric goes outside of the
acceptable range.
All metrics provided at 1-minute granularity.
Amazon CloudWatch metrics
HealthyHostCount
The count of the number of healthy instances
in each Availability Zone.
Most common cause of unhealthy hosts are
health check exceeding the allocated timeout.
Test by making repeated requests to the back-
end instance from another Amazon EC2
instance.
View at the zonal dimension.
Latency
Measures the time elapsed in seconds after the request leaves the load
balancer until the response is received.
Test by sending requests to the back-end instance from another instance.
Using minimum, average, and maximum, CloudWatch
stats provide upper and lower bounds for latency.
Debug individual requests using access logs.
SurgeQueue and spillovers
Count of the number of requests that could not be sent to back-end
instances.
Queue up to 1,024 requests per load balancer
node, after which 503 errors will be returned.
Often caused by not being able to open
connections to the back-end instance.
Normally a sign of an underscaled application.
• timestamp
• elb name
• client:port
• backend:port
• request_processing_time
• backend_processing_time
• response_processing_time
• elb_status_code
• backend_state_code
• received_bytes
• sent_bytes
• “request”
• “User-Agent”
• Ciphersuite
• SSL/TLS protocol version
Access logs
2015-05-13T23:39:43.945958Z my-loadbalancer 192.168.131.39:2817
10.0.0.1:80 0.000086 0.001048 0.001337 200 200 0 57 "GET
https://www.example.com:443/ HTTP/1.1” "curl/7.38.0" DHE-RSA-
AES128-SHA TLSv1.2
Global scalability
ELB integrates with Amazon Route 53 latency–based routing and geo-
based routing
Useful for applications where latency is critical
Online advertising bidding
Trading 53
Availability
Seamless and graceful replacement
of instances with
no downtime
Health checks
ELB
EC2
instance
EC2
instance
EC2
instance
Health checks
Support for TCP and HTTP health checks
Customize frequency and failure thresholds
Must return a 2xx response
Think hard about health check “depth”
Idle timeouts allow for connections to be
closed by the load balancer when no
longer in use.
Length of time that an idle connection should be kept open
For both client and back-end connections
Defaults to 60 seconds but can be set between 1 and 3,600
seconds
Timeouts should decrease as you go
up the stack
Idle timeouts
15s
3s
3s
ELB
15s
EC2
instances
Amazon S3
Amazon RDS
Amazon SWF
3s
9s
Idle timeouts
Multiple Availability Zones
VPC
EC2
instanceELB
ELB
EC2
instance
us-west-1aus-west-1b
Amazon
Route 53
Protected by Amazon Route 53 health checks
All load balancers scaled to handle loss
of single Availability Zone.
Amazon Route 53 health checks shift
traffic away from the failed Availability
Zone.
Completed within 150 seconds.
No other external or control plane
dependencies.
Health checkers and edge locations
perform the same volume of activity,
whether endpoints are healthy or
unhealthy.
Constant work
time
System activity
Time to react
When nothing is failing, the
volume of API calls is zero. When
failure occurs, the volume of API
calls spikes.
time
System activity
Time to react
Work on failure
Multiple Availability Zones
VPC
EC2
instanceELB
ELB
EC2
instance
us-west-1aus-west-1b
Amazon
Route 53
Always associate two
or more subnets in
different zones with
the load balancer
Using multiple Availability Zones
does bring a few challenges
Requestcount
Time
Traffic imbalances
DNS caching and spreading
DNS TTLs are generally honored
But sometimes there simply are not enough DNS servers
to spread load around fairly
Mobile networks typically have a dozen or so top-level
resolvers
Enterprise networks may have as few as one
DNS caching by clients and ISPs can often cause clients to target
a specific IP address or stop resolving at all.
Register a wildcard CNAME or ALIAS within Amazon Route 53.
// Create a wildcard CNAME or ALIAS in Route 53.
*.example.com ALIAS … elb-12345.us-east-1.elb.amazon.com
*.example.com CNAME elb-12345.us-east-1.elb.amazon.com
// prepend random content for each lookup made by the application.
PROMPT> dig +short 25a8ade5-6557-4a54-a60e-8f51f3b195d1.example.com
192.0.2.1
192.0.2.2
DNS optimization
Multiple Availability Zones
VPC
EC2
instanceELB
ELB
EC2
instance
us-west-1aus-west-1b
Amazon
Route 53
Multiple Availability Zones
EC2
instanceELB
ELB
us-west-1aus-west-1b
Amazon
Route 53
VPC
Requestcount
Time
Traffic imbalances
Cross-zone enabled
Load balancer absorbs impact of DNS caching
Eliminates imbalances in back-end instance utilization
Requests distributed evenly across multiple
Availability Zones
Check connection limits before enabling
No additional bandwidth charge for
cross-zone traffic
Cross-zone load balancing
Integrated with AWS CloudFormation, AWS Opsworks,
AWS Elastic Beanstalk, Amazon EC2 Container Service,
Amazon API Gateway, Asgard
Load balancers are a common gateway for blue/green
deployments
Load balancers can be managed programmatically for
immutable deployments
ELB and DevOps
Remember to complete
your evaluations!
Thank you!

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