The APM agent provides auto-instrumentation capabilities for the application being observed. You can also use the Serverless CLI to view CloudWatch logs for a Lambda function.įrom your project root run the following.The APM server validates and processes incoming events from individual APM agents and transforms them into Elasticsearch documents. You can also see content logged via console.log in your Lambda code. You should see START, END and REPORT with basic execution information for each function invocation. Then select the first log group prefixed with /aws/lambda/ followed by the function name. To view Lambda logs, select Logs again from the left panel. And the log stream rotates if a new version of the Lambda function has been deployed or if it has been idle for some time. Viewing Lambda CloudWatch Logsįor Lambda, each function has its own log group. This is because there might be other requests that are processed in between these two that were picked up by one of the other log streams. Note that two consecutive groups of logs are not necessarily two consecutive requests in real time. This shows you the log entries grouped by request. This is the last time a request was recorded. You should see 300 log streams ordered by the last event time. Select the log group prefixed with API-Gateway-Execution-Logs_ followed by the API Gateway id. To view API Gateway logs, log in to your AWS Console and select CloudWatch from the list of services. API Gateway picks one of these streams when there is an incoming request. For API Gateway, when logging is first enabled in an API project’s stage, API Gateway creates 1 log group for the stage, and 300 log streams in the group ready to store log entries. Log Groups and Log Streams can mean different things for different AWS services. For example:Įxport function main ( event, context, callback ) Viewing API Gateway CloudWatch LogsĬloudWatch groups log entries into Log Groups and then further into Log Streams. You can write additional information to CloudWatch via console.log. It tracks the duration and max memory usage for each execution. Lambda CloudWatch logs are enabled by default. Here is how to enable access logs for your API Gateway project. API Gateway does have support for access logs, which we recommend leaving on. Note that, the execution logs can generate a ton of log data and it’s not recommended to leave them on. Now our API Gateway requests should be logged via CloudWatch. Scroll to the bottom of the page and click Save Changes. Check Enable Detailed CloudWatch Metrics to track latencies and errors in CloudWatch metrics.Check Log full requests/responses data to include entire request and response body in the log.Select INFO for Log level to log every request.For the case of our Notes App API, we deployed to the prod stage. Select your API project from the left panel, select Stages, then pick the stage you want to enable logging for. Go back to your AWS Console and select API Gateway from the list of services.Įnter the ARN of the IAM role we just created in the CloudWatch log role ARN field and hit Save. Now that we have created our IAM role, let’s turn on logging for our API Gateway project. In our case, we called our role APIGatewa圜loudWatchLogs. Then we need to turn on logging for our API project.įirst, log in to your AWS Console and select IAM from the list of services.Įnter a Role name and select Create role. First, we need to create an IAM role that allows API Gateway to write logs in CloudWatch. In the chapter we are going to look to do the following: Using the analogy of server logs and application logs, you can roughly think of the API Gateway logs as your server logs and Lambda logs as your application logs. Amazon CloudWatch is a monitoring service to help you collect and track metrics for your resources. In the serverless environment, we have lesser control over the underlying infrastructure, logging is the only way to acquire knowledge on how the application is performing. It could contain everything from unexpected function failures, to key events for understanding how users behave. It usually contains errors, warnings, and informational events. Each log entry contains the information about the request, including client IP address, request date/time, request path, HTTP code, bytes served, user agent, etc.Īpplication logs are a file of events that are logged by the web application. Web server logs maintain a history of requests, in the order they took place. There are 2 types of logs we usually take for granted in a monolithic environment. It gives us visibility into how we are processing and responding to incoming requests. Logging is an essential part of building backends and it is no different for a serverless API.
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