diff --git a/apigw-s3-proxy/apigw-s3-proxy.json b/apigw-s3-proxy/apigw-s3-proxy.json
deleted file mode 100644
index f11e35aff..000000000
--- a/apigw-s3-proxy/apigw-s3-proxy.json
+++ /dev/null
@@ -1,79 +0,0 @@
-{
- "title": "Amazon API Gateway with a Amazon S3 integration",
- "description": "Create a REST API Gateway with a S3 read-only integration",
- "language": "",
- "level": "200",
- "framework": "SAM",
- "introBox": {
- "headline": "How it works",
- "text": [
- "This pattern deploys an Amazon API Gateway REST API endpoint with a S3 read-only integration",
- "The API exposes 3 GET methods:",
- "Root GET method: it provides a list of the S3 buckets of the account where the stack is deployed.",
- "{folder} GET method: it provides a list of the objects contained in the bucket {folder}",
- "{item} GET method: it returns the contents of the object in Folders and Sub-folders {item+}",
- "The template also deploys an IAM role with S3 read-only capabilities that is used by API Gateway to integrate with S3.",
- "Since this is API Gateway effectively acts as a proxy S3, every GET method is protected by IAM authentication to prevent public access."
- ]
- },
- "gitHub": {
- "template": {
- "repoURL": "https://github.com/aws-samples/serverless-patterns/tree/main/apigw-s3-proxy",
- "templateURL": "serverless-patterns/apigw-s3-proxy",
- "projectFolder": "apigw-s3-proxy",
- "templateFile": "template.yaml"
- }
- },
- "resources": {
- "bullets": [
- {
- "text": "REST API with S3 integration",
- "link": "https://docs.aws.amazon.com/apigateway/latest/developerguide/integrating-api-with-aws-services-s3.html"
- }
- ]
- },
- "deploy": {
- "text": [
- "Deploy the stack: sam deploy."
- ]
- },
- "testing": {
- "text": [
- "Once the application is deployed, retrieve the API URL provided as output and open it in a browser page.",
- "Replace the folder and item place holder with S3 bucket name and path to your file",
- "Example: https://12345abcde.execute-api.{region}.amazonaws.com/Prod/mybucket/folder1/folder2/index.html"
- ]
- },
- "cleanup": {
- "text": [
- "Delete the stack: sam delete."
- ]
- },
- "authors": [
- {
- "name": "Vamsi Pulikonda",
- "image": "https://raw.githubusercontent.com/vamsipulikonda/my-photo/main/vamsi-photo.jpg",
- "bio": "I am a cloud computing enthusiast working as a Cloud Engineer at Amazon Web Services.",
- "linkedin": "vamsipulikonda"
- }
- ],
- "patternArch": {
- "icon1": {
- "x": 20,
- "y": 50,
- "service": "apigw",
- "label": "API Gateway REST API"
- },
- "icon2": {
- "x": 80,
- "y": 50,
- "service": "s3",
- "label": "Amazon S3"
- },
- "line1": {
- "from": "icon1",
- "to": "icon2",
- "label": ""
- }
- }
-}
diff --git a/apigw-s3-proxy/example-pattern.json b/apigw-s3-proxy/example-pattern.json
index 193996dba..d023948aa 100644
--- a/apigw-s3-proxy/example-pattern.json
+++ b/apigw-s3-proxy/example-pattern.json
@@ -1,5 +1,5 @@
{
- "title": "Amazon API Gateway with a S3 integration",
+ "title": "Amazon API Gateway with an S3 integration",
"description": "Create a REST API Gateway with a S3 read-only integration",
"language": "",
"level": "200",
diff --git a/appsync-bedrock-streaming-sam/example-pattern.json b/appsync-bedrock-streaming-sam/example-pattern.json
index e2f7da984..e4f4df0a5 100644
--- a/appsync-bedrock-streaming-sam/example-pattern.json
+++ b/appsync-bedrock-streaming-sam/example-pattern.json
@@ -1,5 +1,5 @@
{
- "title": "Amazon Bedrock Streaming with AWS AppSync",
+ "title": "Amazon Bedrock streaming with AWS AppSync",
"description": "Stream Amazon Bedrock responses with AWS AppSync",
"language": "YAML",
"level": "200",
diff --git a/qbusiness-s3-lambda/example-pattern.json b/qbusiness-s3-lambda/example-pattern.json
index 8c5a1ba2e..15c97d7ba 100644
--- a/qbusiness-s3-lambda/example-pattern.json
+++ b/qbusiness-s3-lambda/example-pattern.json
@@ -1,6 +1,6 @@
{
- "title": "Q Business to S3",
- "description": "Amazon Q Business to build a generative AI application to derive insights from content present in an S3 bucket.",
+ "title": "Amazon Q Business to Amazon S3",
+ "description": "Use Amazon Q Business to build a generative AI application to derive insights from content present in an S3 bucket.",
"language": "Python",
"level": "200",
"framework": "SAM",
diff --git a/qbusiness-s3-lambda/qbusiness-s3-lambda.json b/qbusiness-s3-lambda/qbusiness-s3-lambda.json
deleted file mode 100644
index 7e941a5dc..000000000
--- a/qbusiness-s3-lambda/qbusiness-s3-lambda.json
+++ /dev/null
@@ -1,85 +0,0 @@
-{
- "title": "Amazon Q Business to S3",
- "description": "Use Amazon Q Business to build a generative AI application to derive insights from content present in an S3 bucket.",
- "language": "Python",
- "level": "200",
- "framework": "SAM",
- "introBox": {
- "headline": "How it works",
- "text": [
- "Amazon Q Business Application: Amazon Q Business application created with S3 as the data source.",
- "Amazon S3: S3 bucket that contains documents to be indexed.",
- "AWS Lambda: AWS Lambda function `DataSourceSync` crawls and indexes the content from the S3 bucket. The Amazon Q Business application retrieves data from the indexed content and provides a generated response."
- ]
- },
- "gitHub": {
- "template": {
- "repoURL": "https://github.com/aws-samples/serverless-patterns/tree/main/qbusiness-s3-lambda",
- "templateURL": "serverless-patterns/qbusiness-s3-lambda",
- "projectFolder": "qbusiness-s3-lambda",
- "templateFile": "template.yaml"
- }
- },
- "resources": {
- "bullets": [
- {
- "text": "Amazon Q Business - AI Assistant for Enterprise",
- "link": "https://aws.amazon.com/q/business/"
- },
- {
- "text": "Discover insights with Amazon Q S3 connector",
- "link": "https://aws.amazon.com/blogs/machine-learning/discover-insights-from-amazon-s3-with-amazon-q-s3-connector/"
- }
- ]
- },
- "deploy": {
- "text": [
- "sam deploy --guided --capabilities CAPABILITY_NAMED_IAM"
- ]
- },
- "testing": {
- "text": [
- "See the GitHub repo for detailed testing instructions."
- ]
- },
- "cleanup": {
- "text": [
- "Delete the stack: sam delete."
- ]
- },
- "authors": [
- {
- "name": "Kruthi Jayasimha Rao",
- "bio": "Kruthi is a Partner Solutions Architect with a focus in Generative AI. She provides technical guidance to AWS Partners in following best practices to build secure, resilient, and highly available solutions in the AWS Cloud.",
- "linkedin": "kruthi-jayasimha-rao-132a78167"
- }
- ],
- "patternArch": {
- "icon1": {
- "x": 20,
- "y": 50,
- "service": "q",
- "label": "Amazon Q Business"
- },
- "icon2": {
- "x": 50,
- "y": 50,
- "service": "s3",
- "label": "Amazon S3"
- },
- "icon3": {
- "x": 80,
- "y": 50,
- "service": "lambda",
- "label": "AWS Lambda"
- },
- "line1": {
- "from": "icon1",
- "to": "icon2"
- },
- "line2": {
- "from": "icon2",
- "to": "icon3"
- }
- }
-}