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Tips	and	tricks	for	running	
container	workloads	on	AWS
Abby	Fuller,	Sr Technical	Evangelist,	AWS
@abbyfuller
Agenda
• Let’s	talk	microservices
• Orchestration	choices	on	AWS
• Amazon	EC2	Container	Service
• Kubernetes
• Deployments
• Community	builders!
Let’s	talk	microservices
What	are	microservices?
“Service-oriented architecture
composed of
loosely coupled elements
that have
bounded contexts”
-Adrian	Cockcroft	(VP	of	Cloud	Architecture	@	AWS,	former	Cloud	Architect	at	
Netflix)
A	couple	of	general	best	practices
• Rely on the public API
• Use the right tool for the job
• Secure your services
• Be a good microservices citizen
• Organizational changes matters
• Automate where plausible
How do I deploy my containers to hosts?
How do I do zero downtime or blue green deployments?
How do I keep my containers alive?
How can my containers talk to each other?
How do I do service discovery?
What about secrets?
How do I best optimize my "pool of compute”?
Containers are awesome
….but they’re more work
How	can	you	(but	mostly	me)	do	less	work?		
#thoughtleadership
Answer! Tools. More specifically, orchestration tools.
Orchestration	choices	on	AWS
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon EC2 Container Service
• Highly scaleable, high
performance container
management system.
• Eliminates the need to install,
operate and scale your own
container management system.
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon ECS
• ECS provides a managed platform for:
Cluster	management Container	orchestration Deep	AWS	integration
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Kubernetes
• Container orchestration
platform that manages
containers across your
infrastructure in logical groups
• Rich API to integrate 3rd parties
• Open Source
Who	uses	what?
Amazon	ECS Kubernetes	on	AWS
Bottom line: we want to be the best place
to run your containers, however you want
to do it.
Tips	and	tricks	for	getting	the	most	out	of	
your	deployments
Beware points of failure
• Source/version control all the things
• e.g. git and AWS CodeCommit, registries
• Smart image tagging
• Shared dependencies
• Deploy fast and often (and small!)
• For Kubernetes: fault tolerance requires an extra step! Make
sure you have tolerance for failure, and use autoscaling
groups.
Smaller images mean faster builds and
deploys
• Go smaller
• Private image repository
• e.g. Amazon ECR
• Shared where possible
• Avoid unnecessary add-ons CACHE
Alerts are (mostly) good
• Alert responsibly
• Take advantage of the built-in AWS alert systems
• e.g. aws-log driver or CloudWatch
• Put checks or limits on services or clusters scaling
• Log sorting for severity is important to avoid unnecessarily
sending an alert
Monitoring and logging are key
• Utilize tools
• e.g. AWS CloudWatch, Datadog
• Logging for both containers and hosts
• Avoid unnecessary noise here too:
• Log levels!
• Meaningful log messages (don’t just log the default)
• Logs should actually help
Automation where plausible
• Scripts!
• Utilize built-in AWS features
• e.g. CodeCommit, CodePipeline, CodeDeploy
• …but add checks by a human
• Templates and tools are your friends!
• CloudFormation, etc: use tools to help setup and
create repeatable infrastructure
Maximize your resources
• Set sensible resource limits
• Use a scaling policy to scale up or down and preclude
resources from running idle
• Utilize TaskPlacement policies
The right tools for the job
• ALB vs ELB
• Not all languages need to build the same
• Set Service level scaling policies, plus cluster scaling policies
• Regardless of orchestration tool, use a VPC!
• Multi AZ
• Bottom line: use what works for you!
Checking for issues
• Debugging
• Monitor performance with tools like X-Ray
• Connection draining settings
• Health checks
• Check for actual health
• Look for number of failed checks before declaring
unhealthy
Help	is	out	there
Buzzfeed and	Rig
The Hitchhiker’s Guide
coldbrew-cli
AWSome ECS
kubernetes/kops
Kris Nova’s kubicorn
Heptio and	Kubernetes	quick	start	for	AWS

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