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AWS Serverless Monitoring using Dashbird.io
Disclaimer: This article is written in collaboration with Dashbird.io. The information provided is solely based on my personal usage and opinion on the platform.
tl;dr
Using Dashbird.io allows us to monitor our AWS Serverless resources better and helps us nailed down on specific errors quickly and more efficiently
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As a startup, we always want to focus on the most important thing — to deliver value to our customers. For that reason, we are a huge fan of the serverless options provided by AWS (Lambda) and GCP (Cloud Function) as these allow us to maintain and quickly deploy bite-size business logic to production, without having to worry too much about maintaining the underlying servers and computing resources. Additionally, using services like AWS Step Function allows us to orchestrate the Lambda function in a high-level visual and low-code fashion, at the same time allowing us to execute different functions in a specific order.
