I have an ECS cluster where I place a container that runs as a daemon to monitor all other processes. However, I'm seeing this containers being killed by OOM from time to time without leaving a trace. I just happened to spot one of them being killed. This is causing some log duplication but I wonder if there is a way to trace these restarts because when I look on the ECS Cluster events, there are no information about this tasks being restarted by any means.
I know more from kubernetes so I would say an analogy here. When this happens on kubernetes you would see a RESTARTS counter when you get information from all pods (kubectl get pods) is there any way to find this information on AWS ECS tasks? I'm struggling to find on documentation
I identified the tasks, and also I identified the status of each tasks to gain more information, but I'm unable to find any hint that the process was restarted or killed before.
this is a task detail example
- attachments: []
attributes:
- name: ecs.cpu-architecture
value: x86_64
availabilityZone: us-east-2c
clusterArn: arn:aws:ecs:us-west-2:99999999999:cluster/dev
connectivity: CONNECTED
connectivityAt: '2023-01-24T23:03:23.315000-05:00'
containerInstanceArn: arn:aws:ecs:us-east-2:99999999999:container-instance/dev/eb8875fhfghghghfjyjk88c8f96433b8
containers:
- containerArn: arn:aws:ecs:us-east-2:99999999999:container/dev/05d4a402ee274a3ca90a86e46292a63a/e54af51f-2420-47ab-bff6-dcd4f976ad2e
cpu: '500'
healthStatus: HEALTHY
image: public.ecr.aws/datadog/agent:7.36.1
lastStatus: RUNNING
memory: '750'
name: datadog-agent
networkBindings:
- bindIP: 0.0.0.0
containerPort: 8125
hostPort: 8125
protocol: udp
- bindIP: 0.0.0.0
containerPort: 8126
hostPort: 8126
protocol: tcp
networkInterfaces: []
runtimeId: 75559b7327258d69fe61cac2dfe58b12d292bdb7b3a720c457231ee9e3e4190a
taskArn: arn:aws:ecs:us-east-2:99999999999:task/dev/05d4a402ee274a3ca90a86e46292a63a
cpu: '500'
createdAt: '2023-01-24T23:03:22.841000-05:00'
desiredStatus: RUNNING
enableExecuteCommand: false
group: service:datadog-agent
healthStatus: HEALTHY
lastStatus: RUNNING
launchType: EC2
memory: '750'
overrides:
containerOverrides:
- name: datadog-agent
inferenceAcceleratorOverrides: []
pullStartedAt: '2023-01-24T23:03:25.471000-05:00'
pullStoppedAt: '2023-01-24T23:03:39.790000-05:00'
startedAt: '2023-01-24T23:03:47.514000-05:00'
startedBy: ecs-svc/1726924224402147943
tags: []
taskArn: arn:aws:ecs:us-west-2:99999999999:task/dev/05d4a402ee274a3ca90a86e46292a63a
taskDefinitionArn: arn:aws:ecs:us-west-2:99999999999:task-definition/datadog-agent-task:5
version: 2
So, after debugging a lot within the little information AWS provides for this use case, I ended up doing a process to find the answer:
--desired-status STOPPED and dump all to a json fileaws ecs list-tasks --cluster dev --service-name datadog-agent --desired-status STOPPED --output json > ecs_tasks.json
aws ecs describe-tasks --cluster dev --tasks $(jq -j '.taskArns[] | (.|" ",.)' ./ecs_tasks.json) --output yaml > ecs_tasks_describe.log
I could came up with a script to group and summarize the information but, since I only had to watch over 20 stopped tasks I ended up dumping the information in yaml format for easiness. I found two key properties on the output:
stoppedReason: Essential container in task exited
* For each task object, there is an array of containers objects under **containers** property. There you'll sometimes find **reason** property which can explain a bit more of why the container stopped
reason: 'OutOfMemoryError: Container killed due to memory usage'
Note: This information would give you all events for a given service for at least the last hour. In my case it gave me 8 hours of events but AWS documentation only promises 1 hour https://docs.aws.amazon.com/AmazonECS/latest/developerguide/stopped-task-errors.html
Stopped tasks only appear in the Amazon ECS console, AWS CLI, and AWS SDKs for at least 1 hour after the task stops. After that, the details of the stopped task expire and aren't available in Amazon ECS.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With