Amazon Keyspaces: Cloud Cassandra Database

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Questions and Answers

What is the primary benefit of using Amazon Keyspaces for applications already using Apache Cassandra?

  • Seamless migration with existing Cassandra data models and tools. (correct)
  • Automatic conversion of SQL queries to CQL.
  • Guaranteed performance improvements by 50% or more.
  • Free data backups to Amazon S3.

Which operational task is automatically handled by Amazon Keyspaces, reducing the burden on developers?

  • Designing user interfaces.
  • Scaling, patching, and replication. (correct)
  • Optimizing application code.
  • Managing operating systems on EC2 instances.

How does Amazon Keyspaces ensure high availability and prevent data loss?

  • By employing a single, highly reliable server.
  • Using tape backups stored offsite.
  • Through multi-Region replication and storing data across multiple availability zones. (correct)
  • By using RAID configurations on local servers.

What AWS service does Amazon Keyspaces use for encryption at rest?

<p>AWS Key Management Service (KMS). (A)</p> Signup and view all the answers

Which AWS service allows you to control access to Amazon Keyspaces?

<p>AWS Identity and Access Management (IAM). (B)</p> Signup and view all the answers

How is data transfer charged in Amazon Keyspaces?

<p>Data transfer between Amazon Keyspaces and other AWS services is generally free within the same region. (B)</p> Signup and view all the answers

What is the primary pricing component for Amazon Keyspaces?

<p>Read and write requests, and data storage. (A)</p> Signup and view all the answers

Why is Amazon Keyspaces considered a cost-effective choice for dynamic workloads?

<p>It has serverless pricing where you pay only for the resources you use. (B)</p> Signup and view all the answers

Which of these AWS services integrates with Amazon Keyspaces to build event-driven workflows?

<p>AWS Lambda. (A)</p> Signup and view all the answers

What type of database service is Amazon Keyspaces?

<p>NoSQL database. (C)</p> Signup and view all the answers

In Amazon Keyspaces, what does the pay-per-use pricing model depend on?

<p>The volume of read and write requests and the storage capacity used. (D)</p> Signup and view all the answers

What network security measure can be used with Amazon Keyspaces to isolate your database?

<p>Virtual Private Cloud (VPC). (C)</p> Signup and view all the answers

Which AWS service can be used to monitor and audit access to Amazon Keyspaces?

<p>AWS CloudTrail. (B)</p> Signup and view all the answers

What is the significance of Amazon Keyspaces being 'serverless'?

<p>There is no need to provision or manage database servers. (B)</p> Signup and view all the answers

Besides read and write requests, what else contributes to the overall cost of using Amazon Keyspaces?

<p>Data Storage. (B)</p> Signup and view all the answers

Flashcards

Amazon Keyspaces

A fully managed, scalable, and secure database service compatible with Apache Cassandra.

Cassandra Compatibility

Ensures seamless migration and application compatibility.

Fully Managed

Handles scaling, patching, and replication automatically.

Scalability

Dynamically adjusts resources based on workload demands.

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High Availability and Durability

Ensures data accessibility and prevents data loss through replication.

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Pay-Per-Use Pricing

Billing is based on usage, involving read/write requests and data storage.

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Serverless

Operates without the need to manage database servers.

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Security

Uses KMS and TLS for encryption; IAM for access control.

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AWS Ecosystem Integration

Integrates with Lambda, CloudWatch, Glue, and Data Pipeline.

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Read and Write Requests

Charged by request units, varying based on read consistency and writes.

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Data Storage

Cost depends on the amount of data your application writes and stores.

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Backup and Snapshots

Cost depends on the amount of data backed up.

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Data Transfer

Free within the same region; charges apply across regions.

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Study Notes

  • Amazon Keyspaces is a fully managed, scalable, and secure database service for Apache Cassandra applications.
  • It caters to workloads needing a highly scalable NoSQL database with low-latency operations.
  • It efficiently manages large data volumes across distributed systems.
  • Keyspaces serves as a cloud-native alternative to self-hosted Cassandra, reducing operational overhead.

Key Features

  • Keyspaces supports Cassandra Query Language (CQL), ensuring compatibility with existing Cassandra tools and data models.
  • The service handles scaling, patching, and replication automatically, reducing management tasks.
  • It scales elastically based on workload demands, accommodating traffic spikes and large data volumes.
  • High availability is ensured through multi-Region replication.
  • Data durability is maintained by storing data across multiple availability zones.
  • Pricing is based on actual usage, covering read/write requests and data storage, optimizing cost for dynamic workloads.
  • Being serverless, it removes the need for provisioning or managing database servers.
  • It supports encryption at rest via AWS KMS, encryption in transit using TLS, and integrates with IAM.
  • Virtual Private Cloud (VPC) provides network isolation, and AWS CloudTrail offers audit logs.
  • It integrates with AWS Lambda, Amazon CloudWatch, AWS Glue, and AWS Data Pipeline for enhanced workflows.

Pricing

  • It follows a pay-as-you-go model.
  • Charges are based on the number of read and write requests, measured in request units.
  • The cost depends on the number of reads (consistent or inconsistent) and writes to the database.
  • Data storage is billed per GB per month.
  • Snapshot costs are based on stored data volume and can be automatic or on-demand.
  • Data transfer within the same AWS region is free; cross-region transfers incur additional charges.

Conclusion

  • Amazon Keyspaces provides a managed NoSQL database service which simplifies Apache Cassandra workloads in the cloud.
  • It offers scalability, maintains high availability, and easily integrates within the AWS ecosystem.
  • The serverless nature, combined with compatibility and security make it ideal for high-volume, low-latency applications.

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