aws-solutions-library-samples / guidance-for-using-google-tag-manager-for-server-side-website-analytics-on-awsLinks
This Guidance helps you implement server-side tagging to collect event data and perform data analysis in near real-time.
☆13Updated 7 months ago
Alternatives and similar repositories for guidance-for-using-google-tag-manager-for-server-side-website-analytics-on-aws
Users that are interested in guidance-for-using-google-tag-manager-for-server-side-website-analytics-on-aws are comparing it to the libraries listed below
Sorting:
- ☆32Updated last year
- A collection of samples, best practices and reference architectures for implementing SaaS applications on AWS for databases and data serv…☆59Updated 3 weeks ago
- Repository for AWS Blog on building AWS Amplify Apps with Cloudscape☆12Updated last year
- ☆10Updated 10 months ago
- A terminal based program that lets you interact with LLMs available on Amazon Bedrock☆30Updated 3 weeks ago
- Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Base…☆61Updated 3 months ago
- aws-solutions-library-samples / guidance-for-developing-data-and-ai-foundation-with-amazon-sagemakerDAIVI is a reference solution with IAC modules to accelerate development of Data, Analytics, AI and Visualization applications on AWS usi…☆33Updated 2 weeks ago
- A CLI tool for building simple to complex IAM policies☆13Updated last year
- MLOps Pipeline Using SageMaker & CDK, where models are from SageMaker built-in algorithms.☆27Updated 6 months ago
- aws-solutions-library-samples / guidance-for-natural-language-queries-of-relational-databases-on-awsDemonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangCh…☆66Updated 11 months ago
- Clickstream Analytics on AWS source code☆84Updated 3 months ago
- This solution helps you deploy ETL processes and data storage resources to create an Insurance Lake using Amazon S3 buckets for storage, …☆29Updated last month
- Collection of examples of how to use Model Context Protocol with AWS.☆86Updated last month
- Reimagine the seller product onboarding experience with generative AI to create product titles and descriptions, categorize, and extract …☆25Updated last week
- SaaS Factory SaaS Microservices Workshop☆55Updated 6 months ago
- Configures and builds a database for engagement events generated by Amazon Simple Email Service (SES) and Amazon Pinpoint engagements usi…☆13Updated 8 months ago
- A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative A…☆48Updated last month
- ☆13Updated last year
- Deploy a RAG use case on AWS by using Terraform and Amazon Bedrock☆47Updated last month
- Using TypeScript and the AWS CDK, you can integrate Knowledge Bases into Amazon Bedrock to provide foundation models with contextual data…☆14Updated last year
- ☆15Updated 3 weeks ago
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆106Updated last week
- aws-samples / Serverless-Semantic-Video-Search-Vector-Database-and-a-Multi-Modal-Generative-Al-Embeddings-ModelImplementing serverless semantic search of image and live video with Amazon OpenSearch and Amazon Bedrock☆17Updated last month
- ☆55Updated 5 months ago
- ☆59Updated 2 years ago
- ☆39Updated 11 months ago
- aws-solutions-library-samples / guidance-for-a-multi-tenant-generative-ai-gateway-with-cost-and-usage-tracking-on-awsThis Guidance demonstrates how to build an internal Software-as-a-Service (SaaS) platform that provides access to foundation models, like…☆85Updated 11 months ago
- An opinionated discussion around how to set up, structure, and deploy your AWS CDK Serverless apps using CDK Pipelines in line with AWS b…☆21Updated 2 years ago
- AWS SAM project that adds the snippets from serverlessland.com/snippets as saved queries in CloudWatch Logs Insights☆15Updated 2 years ago
- The Automated Data Analytics on AWS solution provides an end-to-end data platform for ingesting, transforming, managing and querying data…☆90Updated last year