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Michael Wittig
April 12, 2018
Technology
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Operating ECS in production
https://github.com/widdix/aws-cf-templates
Michael Wittig
April 12, 2018
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Transcript
https://github.com/widdix/aws-cf-templates Operating ECS in production
Hello! I am Michael Wittig AWS in Action (2nd ed)
cloudonaut.io AWS Community Hero Independent AWS Consultant Twitter @hellomichibye 2
ECS Orchestrates Docker containers for you Manages Network and per
Task Security 3
ECS Cluster 4 ECS Cluster ECS Instance = EC2 Instance
running ecs-agent ECS optimized AMI ECS Instance ECS Instance
Task Definition 5 ECS Cluster aws ecs run-task \ --count
2 Task Definition Image ... ECS Task 1..N Container ECS Task 1..N Container
ECS Scheduling 6 ECS Cluster ECS Instance ECS Instance ECS
Instance ECS Task 1..N Container ECS Task 1..N Container Placement constraints and strategies
ECS Networking ◎ Public/Private Load Balancer ◎ Elastic Network Interface
(ENI) per task ◦ Public IP ◦ Private IP ◦ Per Task Security Group 7
ECS Service 8 ECS Cluster Task Definition ECS Task ECS
Task ECS Service ◎ Observer ◎ ENI ◎ Load Balancer ◎ Deployment
Operating ECS Challenges 9
1. Spinning up a cluster 10 Demo
Fault Tolerant Auto Scaling Group, Availability Zones 11 Demo
2. Updating a cluster New ECS optimized AMIs are released
frequently! 12
Rolling Update CloudFormation replaces EC2 instances in Auto Scaling Groups
in small batches. 13 Demo
But what about inflight requests? 14
Instance Draining Move all tasks from ECS instance before Instance
is terminated. 15 Demo
Implementing Instance Draining ◎ Auto Scaling Lifecycle hook ◦ Drain
Instance ◦ Wait until drained ◦ Complete Lifecycle hook 16
Tasks are not rescheduled once places! Your last batch of
ECS instances will end up with 0 tasks! 17
3. Scaling a cluster Or adding/removing EC2 instances. 18 Demo
We don’t know how many tasks we can schedule! 19
20 ECS Cluster Available: CPU 100 Memory 200 Available: CPU
100 Memory 200 Available: CPU 100 Memory 200 Available: CPU 300 Memory 600 Task CPU 200 Memory 200
Schedulable Containers 1. Define largest possible task (CPU/memory) 2. For
each instance: a. Calculate how many largest possible tasks would fit b. Report to CloudWatch 3. Scale based on the sum of this metric 21 Credits http://garbe.io/blog/2017/04/12/a-better-solution-to-ecs-autoscaling/
22 ECS Cluster Available: CPU 100 Memory 200 Schedulable 0
Available: CPU 100 Memory 200 Schedulable 0 Available: CPU 100 Memory 200 Schedulable 0 Available: CPU 300 Memory 600 Schedulable 0 Largest Task CPU 200 Memory 200
No CloudWatch Events emitted when task launch failed due to
capacity shortage. 23
4. Public load balancing 24
Public load balancing 25 ECS Cluster ECS Instance ECS Instance
ECS Task 1..N Container ECS Task 1..N Container ECS Task 1..N Container Load Balancer (ALB) ◎ Path based ◎ Host based DNS
5. Internal service discovery / load balancing 26
Internal load balancing 27 ECS Task Frontend LB (internet-facing) ECS
Task ECS Task Catalog (internal) ECS Task ECS Task Shopping card (internal) ECS Task ECS Task DNS DNS DNS
Catalog Catalog Internal Route 53 (with per task ENI) 28
ECS Task Frontend LB (internet-facing) ECS Task ECS Task ECS Task ECS Task ECS Task ECS Task DNS DNS DNS
6. Logging & Monitoring CloudWatch. 29
Credits Special thanks to all the people who made and
released these awesome resources for free: ◎ Presentation template by SlidesCarnival ◎ Photographs by Pexels 30
Thanks! http://bit.ly/amazon-web-services-in-action-2nd-edition https://github.com/widdix/aws-cf-templates https://cloudonaut.io Twitter @hellomichibye Mail
[email protected]
31