You can extend this Lambda code to perform other functions while creating the alarms. It has an option to enable monitoring on many Lambda functions based on tags. It has CloudFormation template with the Lambda code embedded in it so entire solution is deployed through one CloudFormation stack. The solution is available here to download. You and your team don’t have to switch contexts to collaborate. With just a few clicks, you start receiving notifications and can issue AWS CLI commands in a Slack channel to perform operations. This solution uses SNS to notify you on Slack and through email.ĪWS Chatbot is service that manages the integration between AWS services and your Slack channels or Amazon Chime chat rooms. Using SNS topics, you can publish your message to Amazon SQS, Lambda, an HTTPS endpoint, or email. Please see Figure 3 for details on alarm.Īmazon SNS is a fully managed messaging service. To monitor the failure of the execution of your Lambda function, you would need to create a CloudWatch alarm that is triggered when the value in error count goes above 0. To help you monitor your code when it runs, Lambda automatically tracks the number of requests, the invocation duration per request, and the number of requests that result in an error, as shown in Figure 2. Lambda automatically monitors Lambda functions on your behalf and reports metrics through CloudWatch. Let’s look at individual services in details now.ĬloudWatch is monitoring and observability service built to collect monitoring and operational data in the form of logs, metrics, and events. The AWS chatbot which is subscribed to the SNS topic, pulls the information and puts it in slack channel. As soon as alarm triggers, it notifies the topic in AWS SNS. If error count is more than desired, it triggers the CloudWatch alarm. It leverages metrics stored in Amazon CloudWatch for your lambda function. The solution uses CloudWatch, SNS, and AWS Chatbot as shown below. Here we focus only on the error count metric for lambda to catch its failures. With these metrics you can monitor the state and health of your Lambda code and increase the availability of its executions. You can see runtime logs plus metrics such as number of invocations, duration, error count, and more. Lambda functions are well integrated with CloudWatch. This solution also allows you to onboard Lambda functions for monitoring based on their tags in a specified AWS account and region. Instead, we focus here on catching and notifying Lambda failures quickly on Slack. You can visit here to learn details on holistic monitoring of AWS Lambda. We don’t describe a comprehensive monitoring solution for Lambda in this blog post. AWS chatbot helps you get notification in real time in slack or chime and also enables you to respond swiftly by issuing commands in your slack channel itself. In this blog post, we describe the process of setting up notifications in Slack using AWS Chatbot to notify you in case of failures of Lambda. Such failures in Lambda function can have a significant impact on the overall workflow and architecture. Lambda can have execution failures due to failure in logic or condition in the code or connectivity issue with other services. Due to its transitory nature and handiness, Lambda has become a popular and integral part of many solutions or architectures. By combining AWS Lambda with other AWS services, developers can build powerful web applications that automatically scale up and down and run in a highly available configuration. For example, you can use Amazon S3 to trigger AWS Lambda to process data immediately after an upload. You can run AWS Lambda function to execute a code in response to triggers such as changes in data or system state. AWS Lambda is a serverless compute service that helps you run code without provisioning or managing hardware.
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