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KUBERNETES ON AWS
GONE WILD
CHRISTIAN JANTZ - CODE.TALKS 2017
Teaching companies how to
combine agile, open source,
cloud and lean thinking to stay
relevant.
Also trying to show people that
hiring DevOps Engineers is not
an answer for digitalisation.
CALL ME CHRIS
WHO IS ALREADY DOING IT?
THREE MAIN TOPICS
• Design your cluster(s)
• Installation
• Operations
Three things per topic
DESIGN YOUR
CLUSTER(S)
AUTOMATED VS. MANUAL
• People rarely document
• Manual works once
• Except you save it as AMI or use ansible, puppet, chef
• Dev clusters can be simple
• Production should ONLY be sized differently
Automate as much as possible
SIZE YOUR CLUSTER
• Servers have capacities
• Consider network capacity
• Servers cost money
• AWS offers different types, pick the best
• One AZ is not fault-tolerant
• Think redundant!
Cause big is not always good
PERMISSIONS ON AWS
• Use personalised accounts
• Use server roles
• Use tags to control access to clusters
• Automate everything
• Success is when no admin ever accesses AWS
Let’s talk about compliance
INSTALLATION
MULTI-ACCOUNT
• One account is easy
• Accounts help you manage access
• Developers can get access to AWS
• S3, kops and multi account are complex
• Centralize cluster management
• Jenkins, Bamboo, you name it
To make controlling & compliance love you
KUBE-UP & COPS
• kube-up.sh is a good start
• But updating is a pain
• Kops is even better
• But it controls it all
NETWORKING
• Kops takes part of your VPC
• Keeping kube-up.sh setups compatible
• Kubernetes reserves IP’s
• Use another VPC and network range for DB’s
• Consider your shared resources
• Don’t overlap your networks
Mind your IP‘s and VPC‘s
OPERATIONS
DATABASES
• It is possible
• Just not a good idea
• Updates your responsibility
• State can be lost
• AWS services are too cheap to ignore
Some put them in containers
LOGGING
• Use built-in ELK stack
• Persistence not guaranteed
• Attach to AWS ElasticSearch Service
• Deploy your own fluentd daemonset
Know what is going on
CUSTOM REGISTRIES
• Add them manually
• Destroys autoscaling functionality
• Mind the timeout
• Think about permissions
• Kubernetes talks to AWS
• Custom secrets are possible
Not everything is supposed to be public
YOU CAN DO K8S IN ALL CLOUD ENVIRONMENTS
THIS TALK WAS FOCUSSED ON EXPERIENCES
WITH AWS
THOUGHT OPS TODAY?
THANK YOU!
CHRIS@SAFEWRD.COM
@CHRISZ_

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K8S ON AWS GONE WILD

  • 1. KUBERNETES ON AWS GONE WILD CHRISTIAN JANTZ - CODE.TALKS 2017
  • 2. Teaching companies how to combine agile, open source, cloud and lean thinking to stay relevant. Also trying to show people that hiring DevOps Engineers is not an answer for digitalisation. CALL ME CHRIS
  • 3. WHO IS ALREADY DOING IT?
  • 4. THREE MAIN TOPICS • Design your cluster(s) • Installation • Operations Three things per topic
  • 6. AUTOMATED VS. MANUAL • People rarely document • Manual works once • Except you save it as AMI or use ansible, puppet, chef • Dev clusters can be simple • Production should ONLY be sized differently Automate as much as possible
  • 7. SIZE YOUR CLUSTER • Servers have capacities • Consider network capacity • Servers cost money • AWS offers different types, pick the best • One AZ is not fault-tolerant • Think redundant! Cause big is not always good
  • 8. PERMISSIONS ON AWS • Use personalised accounts • Use server roles • Use tags to control access to clusters • Automate everything • Success is when no admin ever accesses AWS Let’s talk about compliance
  • 10. MULTI-ACCOUNT • One account is easy • Accounts help you manage access • Developers can get access to AWS • S3, kops and multi account are complex • Centralize cluster management • Jenkins, Bamboo, you name it To make controlling & compliance love you
  • 11. KUBE-UP & COPS • kube-up.sh is a good start • But updating is a pain • Kops is even better • But it controls it all
  • 12. NETWORKING • Kops takes part of your VPC • Keeping kube-up.sh setups compatible • Kubernetes reserves IP’s • Use another VPC and network range for DB’s • Consider your shared resources • Don’t overlap your networks Mind your IP‘s and VPC‘s
  • 14. DATABASES • It is possible • Just not a good idea • Updates your responsibility • State can be lost • AWS services are too cheap to ignore Some put them in containers
  • 15. LOGGING • Use built-in ELK stack • Persistence not guaranteed • Attach to AWS ElasticSearch Service • Deploy your own fluentd daemonset Know what is going on
  • 16. CUSTOM REGISTRIES • Add them manually • Destroys autoscaling functionality • Mind the timeout • Think about permissions • Kubernetes talks to AWS • Custom secrets are possible Not everything is supposed to be public
  • 17. YOU CAN DO K8S IN ALL CLOUD ENVIRONMENTS THIS TALK WAS FOCUSSED ON EXPERIENCES WITH AWS
  • 19.