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Information contained in the articles on this site may not be representative of actual use cases. The views expressed in the articles are personal views of the author and are not necessarily those of State Farm Mutual Automobile Insurance Company, its subsidiaries and affiliates (collectively “State Farm”). Nothing in the articles should be construed as an endorsement by State Farm of any non-State Farm product or service.
State Farm® Publishes Open Source by Rex Bennett & Clete Blackwell II
Benefitting the open source community through contributions and project publishing

State Farm® Publishes Open Source

At State Farm®, we take pride in being a good neighbor and in helping others. We often try to find ways to give back to the communities that sustain us and, these days, that would include the online community of open source developers who create and maintain much of the code required to run the modern internet. State Farm® uses thousands of open source programs and is committed to identifying opportunities to contribute back to the community.

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Schema Validations by Dave Svatora - Lead Software Engineer
Schema Validations in AWS API Gateway

schema-validations

Validating inputs is a common problem that must be addressed in application software. Like many problems in information technology, there are many patterns available that provide a solution. This article will focus on one available solution for Application Programming Interfaces (API’s) deployed to AWS’s API Gateway. We will walk through setting up JSON Schema Validations, which is a good pattern for any applications leveraging API Gateways and serverless architectures. It follows…

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Using Terraform for S3 Storage with MIME Type Association by Dillon Henn
Confidently deploy your content to S3 using Terraform - here's how we did it.

terraform

Today, many product teams may utilize the Amazon Simple Storage Service to store Single Page Application (SPA) resources. Oftentimes they do this by packaging infrastructure code with the application code. However, this tends to add complexity to the pipeline because the content for S3 must be uploaded and synched in a separate step.

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