aws(学习笔记第五十课) ECS集中练习(2)
文章目录
- aws(学习笔记第五十课) ECS集中练习(2)
- 学习内容:
- 1. 代码连接
- 1.1 代码链接
- 2. 练习设定`ecs`的`placement`
- 2.1 全体架构
- 2.2 全体代码
- 2.3 执行代码
- 2.4 检测`service`的运行实例数
- 2.4.1 确认`service`的名字
- 2.4.2 确认`cluster`的名字
- 2.4.3 使用`cli`确认`service`的运行`count`数
- 2.4.4 增加`service`的运行`count`数
- 3. 练习设定`ecs`的`network`
- 3.1 全体架构
- 3.2 代码
- 3.3 执行代码,破碎的心
- 3.4 尝试使用`NetworkMode.HOST`
- 3.4.1 代码
- 3.4.2 执行代码
aws(学习笔记第五十课) ECS集中练习(2)
- 深入练习设定
ecs
的其他设定
学习内容:
- 练习设定
ecs
的placement
- 练习设定
ecs
的network
1. 代码连接
1.1 代码链接
ECS集中练习
2. 练习设定ecs
的placement
2.1 全体架构
这里对于使用了三种placement
:
PlacementConstaint.distinct_instances
: 强制同一个服务的多个任务必须运行在不同的ec2
实例上。PlacementStrategy.packed_by
: 将任务紧密打包到尽可能少的ec2
实例上,有限选择剩余资源最少的可用实例。PlacementStrategy.spread_accross
: 将任务均匀分散到不同的可用去(AZ
)。
2.2 全体代码
from aws_cdk import (aws_autoscaling as autoscaling,aws_ec2 as ec2,aws_ecs as ecs,App, Stack
)app = App()
stack = Stack(app, "sample-ecs-task-placement")# Create a cluster
vpc = ec2.Vpc(stack, "Vpc",max_azs=2
)cluster = ecs.Cluster(stack, "EcsCluster",vpc=vpc
)asg = autoscaling.AutoScalingGroup(stack, "DefaultAutoScalingGroup",instance_type=ec2.InstanceType("t2.micro"),machine_image=ecs.EcsOptimizedImage.amazon_linux2(),vpc=vpc,
)
capacity_provider = ecs.AsgCapacityProvider(stack, "AsgCapacityProvider",auto_scaling_group=asg
)
cluster.add_asg_capacity_provider(capacity_provider)# Create a task definition with placement constraints
task_definition = ecs.Ec2TaskDefinition(stack, "TaskDef"
)container = task_definition.add_container("web",image=ecs.ContainerImage.from_registry("nginx:latest"),memory_limit_mib=256,
)
port_mapping = ecs.PortMapping(container_port=80,host_port=8080,protocol=ecs.Protocol.TCP
)
container.add_port_mappings(port_mapping)# Create Service
service = ecs.Ec2Service(stack, "Service",cluster=cluster,task_definition=task_definition,placement_constraints=[ecs.PlacementConstraint.distinct_instances()]
)service.add_placement_strategies(ecs.PlacementStrategy.packed_by(ecs.BinPackResource.MEMORY))
service.add_placement_strategies(ecs.PlacementStrategy.spread_across(ecs.BuiltInAttributes.AVAILABILITY_ZONE))
app.synth()
2.3 执行代码
python -m venv ./.venv
source ./.venv/Scripts/activate
pip install -r requirements.txt
cdk --require-approval never deploy
2.4 检测service
的运行实例数
2.4.1 确认service
的名字
进入cluster
–>service
,可以看到选择的部分即为service name
2.4.2 确认cluster
的名字
进入cluster
,可以看到选择的部分即为cluster name
。
2.4.3 使用cli
确认service
的运行count
数
$ aws ecs describe-services \--cluster sample-ecs-task-placement-EcsCluster97242B84-UPtLnBUmifKa \--services sample-ecs-task-placement-ServiceD69D759B-zq6tlpUpZQBy \--query "services[0].runningCount"
1
可以看出,service
的执行count
数是1,因为在service
创建的时候,没有指定desired_count
,所以默认是1
。
2.4.4 增加service
的运行count
数
service = ecs.Ec2Service(stack, "Service",cluster=cluster,desired_count=2,task_definition=task_definition,placement_constraints=[ecs.PlacementConstraint.distinct_instances()]
)
这里,增加service
的属性desired_count=2
。
3. 练习设定ecs
的network
3.1 全体架构
3.2 代码
from aws_cdk import (aws_autoscaling as autoscaling,aws_ec2 as ec2,aws_ecs as ecs,App, Stack,aws_iam as iam,
)# Based on https://aws.amazon.com/blogs/compute/introducing-cloud-native-networking-for-ecs-containers/app = App()
stack = Stack(app, "ec2-service-with-task-networking")# Create a cluster
vpc = ec2.Vpc(stack, "Vpc",max_azs=2
)cluster = ecs.Cluster(stack, "awsvpc-ecs-demo-cluster",vpc=vpc
)
ecs_role = iam.Role(stack, "EcsInstanceRole",assumed_by=iam.ServicePrincipal("ec2.amazonaws.com"),managed_policies=[iam.ManagedPolicy.from_aws_managed_policy_name("service-role/AmazonEC2ContainerServiceforEC2Role")]
)
# 替换 AutoScalingGroup 的启动配置为启动模板
launch_template = ec2.LaunchTemplate(stack, "LaunchTemplate",instance_type=ec2.InstanceType("t2.micro"),machine_image=ecs.EcsOptimizedImage.amazon_linux2(),security_group=ec2.SecurityGroup(stack, "SG", vpc=vpc),user_data=ec2.UserData.for_linux(),role = ecs_role
)asg = autoscaling.AutoScalingGroup(stack, "DefaultAutoScalingGroup",launch_template=launch_template,vpc=vpc,vpc_subnets=ec2.SubnetSelection(subnet_type=ec2.SubnetType.PUBLIC),
)capacity_provider = ecs.AsgCapacityProvider(stack, "AsgCapacityProvider",auto_scaling_group=asg
)
cluster.add_asg_capacity_provider(capacity_provider)# Create a task definition with its own elastic network interface
task_definition = ecs.Ec2TaskDefinition(stack, "nginx-awsvpc",network_mode=ecs.NetworkMode.AWS_VPC,
)web_container = task_definition.add_container("nginx",image=ecs.ContainerImage.from_registry("nginx:latest"),cpu=100,memory_limit_mib=256,essential=True
)
port_mapping = ecs.PortMapping(container_port=80,protocol=ecs.Protocol.TCP
)
web_container.add_port_mappings(port_mapping)# Create a security group that allows HTTP traffic on port 80 for our
# containers without modifying the security group on the instance
security_group = ec2.SecurityGroup(stack, "nginx--7623",vpc=vpc,allow_all_outbound=False
)
security_group.add_ingress_rule(ec2.Peer.any_ipv4(),ec2.Port.tcp(80)
)# Create the service
service = ecs.Ec2Service(stack, "awsvpc-ecs-demo-service",cluster=cluster,task_definition=task_definition,security_groups=[security_group]
)app.synth()
这里,可以为service
设定专门的security group
,期待执行之后,通过http://{ec2_ip}:80
能访问创建的nginx
服务。但是事实上心如所愿吗?
3.3 执行代码,破碎的心
执行cdk --require-approval never deploy
,之后访问http://{ec2_ip}:80
,非常遗憾,不能访问这个网页。
知之为知之,不知ai
知。
通过ai
,很快知道aws
中的ecs ec2
下支持两种网络模式。
# | 模式 | 说明 | 代码注意点 |
---|---|---|---|
1 | HOST | host 网络模式(直接通过 EC2 IP 访问) | security_group设定在launchTemplate上 allow_all_outbound=True 使用network_mode=ecs.NetworkMode.HOST |
2 | AWS_VPC | awsvpc 模式 + 添加 ALB(推荐生产环境) | security_group设定在service上 allow_all_outbound=false 使用network_mode=ecs.NetworkMode.AWS_VPC |
3.4 尝试使用NetworkMode.HOST
3.4.1 代码
from aws_cdk import (aws_autoscaling as autoscaling,aws_ec2 as ec2,aws_ecs as ecs,App, Stack,aws_iam as iam,
)# Based on https://aws.amazon.com/blogs/compute/introducing-cloud-native-networking-for-ecs-containers/app = App()
stack = Stack(app, "ec2-service-with-task-networking")# Create a cluster
vpc = ec2.Vpc(stack, "Vpc",max_azs=2
)cluster = ecs.Cluster(stack, "awsvpc-ecs-demo-cluster",vpc=vpc
)
ecs_role = iam.Role(stack, "EcsInstanceRole",assumed_by=iam.ServicePrincipal("ec2.amazonaws.com"),managed_policies=[iam.ManagedPolicy.from_aws_managed_policy_name("service-role/AmazonEC2ContainerServiceforEC2Role")]
)
# Create a security group that allows HTTP traffic on port 80 for our
# containers without modifying the security group on the instance
security_group = ec2.SecurityGroup(stack, "nginx--7623",vpc=vpc,allow_all_outbound=True
)
security_group.add_ingress_rule(ec2.Peer.any_ipv4(),ec2.Port.tcp(80)
)
# 替换 AutoScalingGroup 的启动配置为启动模板
launch_template = ec2.LaunchTemplate(stack, "LaunchTemplate",instance_type=ec2.InstanceType("t2.micro"),machine_image=ecs.EcsOptimizedImage.amazon_linux2(),#security_group=ec2.SecurityGroup(stack, "SG", vpc=vpc),security_group=security_group,user_data=ec2.UserData.for_linux(),role = ecs_role
)asg = autoscaling.AutoScalingGroup(stack, "DefaultAutoScalingGroup",launch_template=launch_template,vpc=vpc,vpc_subnets=ec2.SubnetSelection(subnet_type=ec2.SubnetType.PUBLIC),
)capacity_provider = ecs.AsgCapacityProvider(stack, "AsgCapacityProvider",auto_scaling_group=asg
)
cluster.add_asg_capacity_provider(capacity_provider)# Create a task definition with its own elastic network interface
task_definition = ecs.Ec2TaskDefinition(stack, "nginx-awsvpc",network_mode=ecs.NetworkMode.HOST,
)web_container = task_definition.add_container("nginx",image=ecs.ContainerImage.from_registry("nginx:latest"),cpu=100,memory_limit_mib=256,essential=True
)
port_mapping = ecs.PortMapping(container_port=80,protocol=ecs.Protocol.TCP
)
web_container.add_port_mappings(port_mapping)# Create the service
service = ecs.Ec2Service(stack, "awsvpc-ecs-demo-service",cluster=cluster,task_definition=task_definition,#security_groups=[security_group]
)app.synth()
3.4.2 执行代码
python -m venv ./.venv
source ./.venv/Scripts/activate
pip install -r requirements.txt
cdk --require-approval never deploy
访问http://35.78.68.247:80
,可以看到正常打开。
接下来的练习:未完待续。。。
- 如何使用
nlb
+farget service
- 设定
fargate
的AutoScaling policy
- 设定
fargate
的efs