Safer Credential Handling In Serverless Components. AWS profile access from the Serverless Components service completely. How our Serverless Components service used AWS credentials stored in a user's default profile. How Serverless Framework handles credentials.
In January, concerns were raised regarding how our Serverless Components service used AWS credentials stored in a user’s default profile. These concerns were valid and caused additional confusion about how Serverless Framework handles credentials.
In response, we immediately updated our documentation and added clearer CLI prompts for Components users. Now, after working with customers to ensure a successful migration path, we have removed local AWS profile access from our Components service completely.
Ultimately, we could have designed this feature better. We’re truly sorry about that. Here’s what happened, and how we’ve fixed it.
Since 2015, the Serverless Framework's model has been to deploy serverless applications from your machine directly to your own cloud infrastructure account using your locally stored credentials—and in no way has that open-source functionality ever changed.
However, we launched a new service last year called Serverless Components. It’s an optional, premium service, which requires creating an account on serverless.com and logging in from the CLI in order to deploy your applications.
Components use a cloud engine for deployment, which our company hosts within our own secure AWS accounts. This enables rapid deployments for Component users through innovations like source code caching to help developers get changes to the cloud, fast.
Businesses need to understand serverless application with major pros and cons of serverless architecture, before deciding about serverless computing.
Bypass the complex middleware and consider a lightweight node.js implementation to deploy serverless functions from your mainframe CICS applications.
Happy Serverless September 2020! We at Coding Sans love working with serverless technology. This is why we decided to publish a report with the latest serverless trends this year. We partnered up with nine other companies who share our love to make it happen.
In this post, I will go through the process of predicting key performance characteristics and the cost of scale-per-request serverless platforms (like AWS Lambda, IBM Cloud Functions, Azure Functions, and Google Cloud Functions) with different workload intensities (in terms of requests per second) using a performance model.
Serverless computing promises greater scalability, faster development, more efficient deployment, and lower cost.