AWS Serverless Deployments Introduction
Introduction to Serverless Deployments
Deployment is transferring the current application code to a server.
If there are no servers, "deployment" can have a different meaning.
Regardless of the compute service, you're still working with code.
Because you're delivering new code rapidly, ensure it's properly tested.
You must be able to verify correct deployment and overall client satisfaction.
Introduction to Serverless Deployments Video
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Ensuring Successfull Deployment
To ensure a successful deployment of your code, you will need a couple of things.
You need to look into modifications during deployment.
You can use AWS CloudTrail to collect events and be alerted of changes in your deployment.
You also need to automate some activities.
You can automate activities like notifying your operations team if a deployment fails.
Lambda functions are also automatically monitored.
The ability to delay or rollback failed deployments is also required for success.
Reverting to a previous, more reliable code version is critical in case of failure.
With serverless workloads, it's critical to deploy updates in a planned and automated manner.
A successful deployment is unnoticed by customers.
Automation reduces human error and establishes a formalized process for validating changes.
Related reads:Monitoring and Troubleshooting Lambda Applications