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Integrate Jira with essential tools like Confluence, Bitbucket, Slack, and third-party applications to create a connected ecosystem.
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Amazon DynamoDB is a fully managed, serverless, NoSQL database service that provides fast and predictable performance with seamless scalability.
DynamoDB uses a key-value and document data model. Data is organized into tables, with each item identified by a primary key. Items can have different attributes and structures.
A primary key uniquely identifies each item in a table. DynamoDB supports two types of primary keys.
DynamoDB automatically scales up or down based on the application’s traffic. It uses partitioning and indexing to handle large amounts of data and high request rates.
DynamoDB Streams capture changes made to items in a DynamoDB table and provide a time-ordered sequence of these changes. Streams can be used to trigger AWS Lambda functions or process data changes.
DynamoDB offers two consistency models.
DynamoDB Accelerator (DAX) is an in-memory caching service that provides faster read performance for DynamoDB tables, reducing response times from milliseconds to microseconds.
DynamoDB integrates with AWS Identity and Access Management (IAM) for access control. It also supports encryption at rest using AWS Key Management Service (KMS) and encryption in transit using SSL/TLS.
DynamoDB pricing is based on several factors including read and write capacity units, data storage, and optional features like DAX. You pay for the resources you provision and use.
DynamoDB provides on-demand and continuous backups. On-demand backups are initiated manually, while continuous backups offer point-in-time recovery for up to 35 days
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