AWS Partner Network (APN) Blog

Category: Amazon DynamoDB

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Empowering Firefighter Safety at the Edge

Kyndryl and AWS have developed an IoT solution to enhance firefighter safety at the edge in the face of intensifying wildfires and urban fires, using wearable devices with environmental sensors to monitor toxin exposure and health vitals in real-time. The solution transmits data to an AWS IoT/Data platform for analysis, presenting a color-coded status on a command dashboard that allows fire incident commanders to make informed decisions about firefighter health, positioning and evacuation need. This award-winning technology not only provides real-time situational awareness and automated record-keeping but also streamlines insurance claims and offers a user-friendly, compliant solution that can be adapted for worker safety solutions in industrial, energy and manufacturing sites.

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Achieve near real-time analytics on Amazon DynamoDB with SingleStore

By combining Amazon DynamoDB with SingleStore, organizations can efficiently capture, process, and analyze DynamoDB data at scale. SingleStore has high-throughput data ingestion and near-real time analytical query capability for both relational and JSON data. This integration empowers businesses to derive actionable insights from their data in near real time, enabling faster decision-making and improved operational efficiency.

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Your Safety Net – How ThinkCol built a LLM Guardrails solution on AWS

Learn how AWS and ThinkCol collaborate to build responsible AI solutions using guardrails and safeguards. With ThinkCol’s Guardrail Solution, businesses can now harness generative AI’s power while mitigating risks of toxicity, hallucination, and misuse. Additionally, organizations have the ability to maintain brand integrity and customer trust through a framework that includes pre-checking queries, generating accurate answers, and post-checking for relevance.

Building a privacy preserving chatbot with Amazon Bedrock

This post discusses an approach to creating a privacy-preserving chatbot using Amazon Bedrock and Skyflow Data Privacy Vault. We explore an architecture pattern for protecting sensitive information, such as personally identifiable information (PII) and intellectual property. The integration of Skyflow into a multi-tenant RAG model allows for an effective data privacy, compliance, and security framework to protect sensitive data throughout a generative AI application’s lifecycle.

Tenant Switching and Custom Permissions in a Multi-Tenant Serverless Application

This post presents a cost-effective, serverless multi-tenant SaaS architecture utilizing AWS managed services. Users can belong to multiple tenants via Amazon Cognito user groups, and the solution enables seamless tenant switching and allows tenants to define custom roles with Amazon DynamoDB transactions. By leveraging AWS services, the architecture provides security, isolation, custom permissions, and flexibility to scale without operational overhead.

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Supercharging User Experience with AWS Lambda Response Streaming

Leveraging AWS Lambda response streaming functionality enables progressive data delivery from large datasets, enhancing web application performance. This post compares a traditional API implementation to a Lambda streaming API, demonstrating reduced time-to-first-byte latency and quicker, more dynamic client-side rendering. By incrementally sending data, response streaming eliminates lag from waiting on entire dataset transfers, vastly improving user experience for data-intensive applications.

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Provisioning a Virtual Private Cloud at Scale with AWS CDK

Infrastructure as code is one of the most important concepts used with cloud solutions, and AWS CloudFormation enables IaC by deploying stacks and provisioning resources on AWS using JSON or YAML files called templates. APN Ambassador Francois Rouxel from Slalom will show you how to create a hundred VPCs in one AWS region without providing any parameters, and how to easily establish a peering connection between two of them within a single line of code.

How to Build a Real-Time Gaming Leaderboard with Amazon DynamoDB and Rockset

For microservices that predominantly write data, Amazon DynamoDB provides an “always on” experience without the need for careful capacity planning, resharding, and database maintenance. These capabilities make DynamoDB a popular database service for various parts of game platforms like player data, game state, session history, and leaderboards. Learn how to pair Amazon DynamoDB with an analytics solution like Rockset to automatically index your data for fast search, aggregations, and joins at scale.

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Partitioning Pooled Multi-Tenant SaaS Data with Amazon DynamoDB

As you design, develop, and build SaaS solutions on AWS, you must think about how you want to partition the data that belongs to each of your customers (tenants). In this post, experts from AWS SaaS Factory focus on what it means to implement the pooled model with Amazon DynamoDB. We’ll outline basic strategies to partition and isolate data by tenant, and illustrate common techniques you can use to avoid the “hot” partition problem that’s often associated with partitioning tenant data in a pooled model.

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Testing AWS GameDay with the AWS Well-Architected Framework – Continued Remediation

This is the third post in our series documenting a project to fix issues with the AWS GameDay architecture by using tenets of the AWS Well-Architected Framework. In Part 2, we remediated the critical findings found in our initial review and here we’ll cover remediating the deficiencies found in our Disaster Recovery plan, as well as other optimizations we’ve made due to recent announcements. We will also discuss how to address another crucial component in our application development—testing.