Explain the features of Amazon CloudFormation

This recipe explains what the features of Amazon CloudFormation

Recipe Objective - Introduction to DynamoDB and its use cases?

The Amazon DynamoDB is a widely used service and is defined as the fully managed proprietary NoSQL database service which supports the key-value and document data structures and is offered by Amazon.com as part of the Amazon Web Services portfolio. Amazon DynamoDB exposes a similar data model to and derives its name from Dynamo but has a different underlying implementation. Dynamo had the multi-leader design requiring clients to resolve version conflicts and DynamoDB uses synchronous replication across the multiple data centres for high durability and availability. Amazon DynamoDB was announced by the Amazon CTO Werner Vogels on January 18, 2012, and is presented as an evolution of the Amazon SimpleDB. Amazon DynamoDB offers reliable performance even as it scales further, a managed experience so users won't be SSH-ing into the servers to upgrade the crypto libraries and the small, simple API allowing for simple key-value access as well as more advanced query patterns. Amazon DynamoDB offers built-in security, continuous backups, automated multi-region replication, in-memory caching and data export tools. Amazon DynamoDB offers security to the user's data encryption at the rest automatic backup and restores with guaranteed reliability with an SLA of 99.99&% availability.

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Benefits of Amazon DynamoDB

  • The Amazon DynamoDB offers users the ability to auto-scale by tracking how close the usage is to the upper bounds. This can allow users systems to adjust according to the amount of data traffic, helping users to avoid issues with the performance while reducing costs and thus helping in performance and scalability. The Amazon DynamoDB offers Access to the control rules as to when the data gets more specific and personal, it becomes more important to have effective access control so, users want to easily apply access control to the right people without creating bottlenecks in other people’s workflow. The fine-grained access control of DynamoDB allows the table owner to gain a higher level of control over data in the table. Amazon DynamoDB streams allow developers to further receive and update the item-level data before and after changes in that data and this is because DynamoDB streams provide the time-ordered sequence of changes made to the data within the last 24 hours. So, with streams, users can easily use the API to make changes to the full-text search data store such as the Elasticsearch, push incremental backups to Amazon S3, or maintain an up-to-date read-cache.

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains Amazon DynamoDB and the Use cases of Amazon DynamoDB.

Use cases of Amazon DynamoDB

    • It provides Extensibility.

Amazon CloudFormation Registry enables modelling and provision of third-party resources and modules published by the AWS Partner Network (APN) Partners and developer community. Examples of third-party resources are team productivity, monitoring, incident management, and version control tools, along with the resources from APN Partners such as Datadog, MongoDB, Atlassian Opsgenie, JFrog, Trend Micro, Splunk, Aqua Security, FireEye, Sysdig, Snyk, Check Point, Spot by NetApp, Gremlin, Stackery, and Iridium. Users can also browse, discover, and choose from the collection of pre-built modules by JFrog and Stackery.

    • It offers Cross account & cross-region management.

Amazon CloudFormation StackSets lets users provision a common set of AWS resources across multiple accounts and regions, with a single CloudFormation template. The StackSets takes care of the automatically and safely provisioning, updating, or deleting stacks and no matter where they are.

    • It offers authoring with JSON/YAML.

Amazon CloudFormation allows users to model their entire cloud environment in text files. Users can also use open-source declarative languages, such as the JSON or YAML, to describe what AWS resources users want to create and configure. If users prefer to design visually, users can use AWS CloudFormation Designer to help users get started with AWS CloudFormation templates.

    • It offers authoring with familiar programming languages.

Amazon Cloud Development Kit (AWS CDK) enables the definition of the cloud environment using TypeScript, Python, Java, and. NET. AWS Cloud Development Kit is an open-source software development framework that helps users model cloud application resources using familiar programming languages, and then provision users infrastructure using CloudFormation directly from your IDE.

    • It provides Safety controls.

Amazon CloudFormation automates provisioning and updating users infrastructure in a safe and controlled manner. There are no manual steps or controls that can lead to errors. Users can use Rollback Triggers to specify the CloudWatch alarms that CloudFormation should monitor during the stack creation and update process. Also, If any of the alarms are triggered, CloudFormation rolls back the entire stack operation to the previously deployed state.

    • It offers Dependency management.

AWS CloudFormation automatically manages the dependencies between users resources during stack management actions. Users don’t need to worry about specifying the order in which resources are created, updated, or deleted, the CloudFormation determines the correct sequence of actions to take for each resource when performing stack operations.

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