The Java function takes the S3 event as a parameter, extracting the PDF object and analyzing the document for metadata using Apache PDFBox, and writing the results to DynamoDB. To hold the document metadata, create a table in DynamoDB, using the Title value of the document as the primary key.įor this example, you can set your provisioned throughput to 1 write capacity unit and 1 read capacity unit. When an object isĬreated (or even updated or deleted), Lambda can run code using that

Would be the creation of an object in Amazon S3. Lambda executes code in response to events. Metadata (the title, author, and number of pages), and adds that data toĪ table in Amazon DynamoDB, allowing other users to search on those fields.

Uploaded to the bucket, a Lambda function analyzes the document for To accomplish the document analysis, an Amazon S3īucket is created to hold PDF documents. To explain concepts, we show snippets of code throughout the You use a Maven-based Java project to accomplish the PDF Written to a database, allowing indexing and searching based on that In this example, you are building a simple documentĪnalysis system, in which metadata is extracted from PDF documents and With AWS CodeCommit or other popular Git source control managers. You can use your existing Git repository, or create a new Git repository Git commit hooks to perform builds against code to be checked into Git.

The setup of Jenkins is out of scope for this post, you can still learnĪbout unit testing and pushing your code to Lambda by working through Jenkins as an automation server to perform continuous integration. Using Git, Maven, and Jenkins, you can integrate, test,īuild and deploy your Lambda functions using these same paradigms.Īs a side note, we will be having a webinar on Continuous Delivery to AWS Lambda which covers more methods of Continuous Delivery on Thursday, April 28th. This post shows how the principles of code testing, continuous integration, and continuous deployment can be applied to your AWS Lambda Release software faster and more frequently.

Practice of building, testing, and deploying code often), developers can With continuous integration (the practice of continually integratingĬode into a shared code repository) and continuous deployment (the

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