Table of contents
Scalability
DynamoDB automatically scales up and down to handle your application's needs, with no intervention required. This allows for easy handling of traffic spikes and growth over time.
Performance
With its fast, predictable performance at any scale, DynamoDB ensures low-latency responses, even with large volumes of data.
Fully Managed
As a fully managed service, DynamoDB handles hardware provisioning, setup, configuration, replication, software patching, and backups, letting you focus on your application.
Flexible Data Model
DynamoDB supports both document and key-value store models, providing flexibility in how you structure your data.
Security
DynamoDB integrates with AWS Identity and Access Management (IAM) to provide fine-grained access control and encrypts data at rest and in transit.
Global Tables
You can create multi-region, fully replicated tables for high availability and globally distributed apps with low latency reads and writes.
Event-Driven Architecture
DynamoDB integrates with AWS Lambda for automatic triggering and the creation of event-driven architectures.
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In this example, we need to set up two AWS Lambda, AWS Secrets Manager and Amazon DynamoDB resources. - Source: dev.to / about 1 month ago
Amazon DynamoDB revolutionized the NoSQL database world with its flexible data model and high performance. At the core of its architecture, we find two fundamental concepts: Partition Key (PK) and Sort Key (SK). This article explores how these elements not only structure data but also significantly impact application performance and scalability. - Source: dev.to / 3 months ago
ExtractDataFunction:uses Langchain and LangSmith to validate and extract structured JSON info through Bedrock and Sonnet 3.5 v2 and then store it in DynamoDB for later use. - Source: dev.to / 3 months ago
NoSQL: For certain types of data and access patterns, a NoSQL database like MongoDB, ScyllaDB, or DynamoDB might be more suitable for high-concurrency scenarios, as long as your data makes more sense being denormalized. - Source: dev.to / 3 months ago
Amazon's DynamoDB is promoted as a zero-maintenance, virtually unlimited throughput and scale* NoSQL database. Because of its' very low administrative overhead and serverless billing model, it has long been my data store of choice when developing cloud applications and services. - Source: dev.to / 5 months ago
The backend logic adds these scores to a DynamoDB table. Bob decided to implement a single-table design for the entire application. - Source: dev.to / 6 months ago
In this module, you’ll use AWS Lambda to process data from the wildrydes Amazon Kinesis stream created earlier. We’ll create and configure a Lambda function to read from the stream and write records to an Amazon DynamoDB table as they arrive. We will also explore a few error handling mechanisms when there are poison pill messages in the stream. Finally, We will learn how to do stream analytics with AWS Lambda. - Source: dev.to / 6 months ago
You will build a Step Functions workflow that processes healthcare claims data in a highly parallel fashion. The workflow uses the Distributed Map state that runs multiple child workflows, each processing a batch of the overall claims data. Each child workflow picks a set of individual claims files and processes them using AWS Lambda functions that load the data to an Amazon DynamoDB table and then apply rules to... - Source: dev.to / 6 months ago
If you need a powerful NoSQL solution without relational benefits, consider DynamoDB. I also use it frequently, but mostly to handle narrow parts of projects. Be careful with this database because it has a special design you must learn before use. Don’t be like people who create many tables and try to use them as MongoDB or even as relational DB. In this case, you will have big problems when the product grows. - Source: dev.to / 7 months ago
Amazon DynamoDB is a managed key-value NoSQL database service built with scale in mind. DynamoDB integrates well with other AWS services, such as Lambda, EventBridge, API Gateway, and Step Functions. For a comparison between DynamoDB and Fauna, visit this page. - Source: dev.to / 8 months ago
Check out more information on what DynamoDB is over on the docs pages. - Source: dev.to / 9 months ago
Data at rest refers to data stored in AWS data stores, such as Amazon S3 buckets and DynamoDB. In this article, I will highlight the importance of encrypting data at rest and provide a guide on how to encrypt an Amazon DynamoDB table using a Customer Managed key (CMK). - Source: dev.to / 10 months ago
Amazon DynamoDB — Fully managed proprietary key-value and document database by AWS. - Source: dev.to / 10 months ago
We need to ensure that the DynamoDB has the following attributes: * Table Name: LambdaAndApiSettings * Primary Key / Partition Key: ResourceID (String). - Source: dev.to / 10 months ago
Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS) that offers high performance at any scale. - Source: dev.to / 10 months ago
DynamoDB is a powerful NoSQL database provided by AWS, designed to handle large amounts of data efficiently. However, for newcomers, understanding the nuances of querying DynamoDB tables can be challenging, particularly when it comes to the differences between KeyConditionExpression and FilterExpression. This blog post aims to clarify these concepts and provide practical examples of their usage. - Source: dev.to / 12 months ago
Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / about 1 year ago
The first is AWS DynamoDB which is going to act as our NoSQL database for our project which we’re also going to pair with a Single-Table design architecture. - Source: dev.to / about 1 year ago
DynamoDB - 25GB NoSQL DB EC2 - 750 hours per month of t2.micro or t3.micro(12mo). 100GB egress per month. - Source: dev.to / about 1 year ago
After two years, I moved to a Web3 startup where I was given a lead software engineer role. This new role gave me more hands-on experience with AWS, where I've learned to implement serverless technologies like Lambda and DynamoDB. - Source: dev.to / over 1 year ago
Dynamodb on amazon web services. https://aws.amazon.com/dynamodb/. - Source: Hacker News / over 1 year ago
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