You are a DevOps engineer in a company whose data analysis department is planning to benefit from CloudWatch Logs to troubleshoot some business use cases by exploring the content in all container logs.
How is it possible to automate a pipeline for analysis in this context?
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer: B.
The essential point in the question is how to use AWS CloudWatch Logs when containers are in place.
The process is similar to the one that enables the CloudWatch agent in an instance.
There are two launch types available i.e.
Fargate and EC2 which make viewing logs differently from each other.
It is possible to use both Amazon ECS-optimized and Non-Amazon ECS-Optimized AMIs as long as the awslogs logging driver is properly configured and available on the container instance.
Incorrect Answers:
Option A is incorrect because it is possible to use both Fargate and EC2 launch types.
Both Amazon ECS-optimized and Non-Amazon ECS-Optimized AMIs.
Option C is incorrect because although it explains how to make the logging driver available in a Non-Amazon ECS-Optimized AMI, it is wrongly asserted that you can use only the EC2 launch type.
In fact, you can also use the Fargate launch type.
Option D is incorrect because although it explains the two launch types available, it is wrongly asserted that you can only use an Amazon ECS-optimized AMI.
In fact, you can also use Non-Amazon ECS-Optimized AMIs.
References:
https://amzn.to/35NzfXh https://amzn.to/2AfyaM6Sure, I'd be happy to explain in detail the correct answer for this question!
The correct answer for automating a pipeline for analyzing container logs using CloudWatch Logs is B. Let's break down each part of this answer:
To allow container instances to use CloudWatch Logs APIs, you need to create an IAM policy that grants the necessary permissions. This policy should include the "logs:CreateLogStream", "logs:PutLogEvents", and "logs:DescribeLogStreams" actions, as well as any additional permissions required for your specific use case.
Once you have created the IAM policy, you must attach it to the ecsInstanceRole. This role is used by Amazon Elastic Container Service (ECS) to manage container instances, and attaching the policy to this role will allow the instances to access the CloudWatch Logs APIs.
To collect and send logs from container instances to CloudWatch Logs, you need to install the CloudWatch agent on each instance. The agent will read logs from various sources, including Docker containers, and send them to CloudWatch Logs.
If you are using the Fargate launch type for your containers, you can view the logs from your containers directly in the CloudWatch Logs console. Fargate is a serverless compute engine for containers, and it handles the underlying infrastructure for you, including logging.
If you are using the EC2 launch type for your containers, you can get different logs from your containers in one convenient location. To do this, you need to configure your containers to use the awslogs logging driver, which will send logs to CloudWatch Logs. If you are not using the Amazon ECS-optimized AMI, you will need to edit the /etc/ecs/ecs.config file and add ECS_AVAILABLE_LOGGING_DRIVERS=["json-file","awslogs"] to specify that the awslogs logging driver is available on the container instance.
In summary, to automate a pipeline for analyzing container logs using CloudWatch Logs, you need to create an IAM policy to allow container instances to use the CloudWatch Logs APIs, attach the policy to the ecsInstanceRole, install the CloudWatch agent on container instances, and configure your containers to use the awslogs logging driver. Depending on whether you are using the Fargate or EC2 launch type, you may need to take additional steps to view the logs from your containers. Answer B covers all of these steps correctly.