Improve from Amazon Redshift DC2 node sort to Amazon Redshift Serverless

Amazon Redshift is a completely managed, petabyte-scale, cloud knowledge warehouse service. You should use Amazon Redshift to run complicated queries towards petabytes of structured and semi-structured knowledge shortly and effectively, integrating seamlessly with different AWS companies.

Amazon Redshift Serverless helps you run and scale analytics in seconds with out having to arrange, handle, or scale knowledge warehouse infrastructure. It mechanically provisions knowledge warehouse capability and intelligently scales the underlying assets to ship quick efficiency for demanding workloads and also you pay just for the compute capability you utilize. Moreover, with Amazon Redshift managed storage, you’ll be able to additional optimize your knowledge warehouse by scaling storage and compute independently and also you pay just for the storage you utilize.

Upgrading your knowledge warehouse from Amazon Redshift dense compute (DC2) situations to Amazon Redshift Serverless unlocks these benefits and gives an enhanced person expertise and simplified operations, providing a extra environment friendly, scalable answer for knowledge analytics.

On this publish, we present you the improve course of from DC2 situations to Amazon Redshift Serverless. We’ll cowl:

1. Assessing your present setup and figuring out if an improve is best for you
2. Planning and making ready for the improve
3. Step-by-step directions for the improve course of
4. Publish-upgrade optimization and finest practices

Why improve to Amazon Redshift Serverless

By utilizing Amazon Redshift Serverless, you’ll be able to run and scale analytics with out managing knowledge warehouse infrastructure. Whenever you improve from DC2 situations to Amazon Redshift Serverless, you get the next advantages:

• Simplified operations: Entry and analyze knowledge without having to arrange, tune, and handle compute clusters.
• Computerized efficiency optimization: Ship constantly excessive efficiency and simplified operations for demanding and risky workloads with computerized scaling and AI pushed scaling and optimization.
• Pay-as-you-go pricing: The versatile pricing construction fees you solely throughout energetic utilization; you pay just for what you utilize.
• On-line upkeep: Amazon Redshift Serverless mechanically manages system updates and patches with out requiring upkeep home windows, serving to to facilitate seamless operation of your knowledge warehouse.
• Decoupled storage and compute: Management prices by scaling and paying for compute and storage individually with Amazon Redshift managed storage.
• Entry to new capabilities: Use superior options together with knowledge sharing writes, Redshift Streaming Ingestion, zero-ETL, and different capabilities.

Sizing steerage

To improve from DC2 to Amazon Redshift Serverless, it’s worthwhile to perceive the scale equivalency. The next desk exhibits advised sizing configurations when upgrading from the DC2 node sort.

Word that availability of Redshift Processing Unit (RPU) configurations varies by AWS Area.

These sizing estimates present a versatile start line tailor-made that will help you take advantage of Amazon Redshift Serverless. The best configuration to your wants will rely upon components similar to your required steadiness of value and efficiency and the precise latency and throughput necessities of your workload. To additional optimize the sizing based mostly in your particular necessities, you should use a number of of following approaches:

• Take a look at your workload beforehand: Earlier than migrating to Amazon Redshift Serverless, consider your workload’s efficiency necessities in a non-production setting. The Amazon Redshift Take a look at Drive utility simplifies this course of by simulating your manufacturing workloads throughout completely different serverless configurations. You should use the outcomes to assist determine the optimum steadiness between efficiency and value and make knowledgeable choices about your configuration. For step-by-step steerage on utilizing the Take a look at Drive utility for DC2 to Serverless upgrades, see the Amazon Redshift Migration Workshop. Operating these efficiency assessments earlier than migration lets you determine any crucial changes to your configuration earlier than deploying to manufacturing
• Monitor in manufacturing: After you’ve deployed your workload, carefully monitor the efficiency and useful resource utilization for over a time period that represents your typical workloads. Primarily based on the noticed metrics, you’ll be able to then scale the assets up or down as wanted to realize one of the best steadiness of efficiency and value.
• AI-driven scaling and optimization: Think about using Amazon Redshift Serverless with AI-driven scaling and optimization to mechanically dimension Amazon Redshift Serverless to your workload wants.

A methodical method to sizing validation, combining each pre-production testing and ongoing manufacturing monitoring, helps guarantee your Amazon Redshift Serverless configuration aligns along with your workload.

Improve to Amazon Redshift Serverless

To improve to Amazon Redshift Serverless, you should use a snapshot restore to maneuver instantly from Amazon Redshift to Amazon Redshift Serverless, as proven within the following determine. A snapshot restore restores knowledge and objects along with customers and their related permissions, configurations, and schema constructions. By utilizing snapshot restore for migration, you’ll be able to validate the goal Amazon Redshift Serverless warehouses with out impacting your manufacturing Amazon Redshift DC2 cluster. You can too use snapshot restore emigrate your Amazon Redshift DC2 workloads to completely different Areas or Availability Zones.

Stipulations emigrate utilizing a snapshot restore

1. Create an Amazon Redshift Serverless workgroup with a namespace. For extra info, see creating workgroup with a namespace.
2. Amazon Redshift Serverless is encrypted by default. Amazon Redshift Serverless additionally helps altering the AWS KMS key for the namespace so you’ll be able to adhere to your group’s safety insurance policies.
3. Confirm that the Amazon Redshift Serverless namespace you’re making an attempt to revive to is hooked up to an Amazon Redshift Serverless workgroup.
4. To revive from a provisioned Amazon Redshift cluster to Amazon Redshift Serverless, the AWS Identification and Entry Administration (IAM) person or position should have the next permissions: redshift-serverless:RestoreFromSnapshot, CreateNamespace, and CreateWorkgroup. For extra info, see Amazon Redshift Serverless restore.

Improve utilizing the console

Use the next steps within the AWS Administration Console for Amazon Redshift to improve your DC2 cluster to Amazon Redshift Serverless utilizing the snapshot restore technique.

1. On the Redshift console, select Clusters within the navigation pane. Choose your cluster after which select Upkeep.
   
2. Select Create snapshot to create a handbook snapshot of the prevailing Amazon Redshift provisioned cluster.
   
3. Enter a snapshot identifier, choose the snapshot retention interval, after which select Create snapshot.
   
4. Choose the snapshot you need to restore to Amazon Redshift Serverless from the checklist after which select Restore snapshot and choose Restore to serverless namespace.
   
5. Beneath Choose namespace, choose your goal serverless namespace from the dropdown checklist after which select Restore.
   
6. The restoration time will fluctuate based mostly in your knowledge quantity.
   
7. After the restoration completes, confirm your knowledge migration by connecting to your Amazon Redshift Serverless workspace utilizing both the Amazon Redshift Question Editor v2 or your most popular SQL consumer.

For extra info, see Making a snapshot of your provisioned cluster.

Improve utilizing the AWS CLI

Use the next steps within the AWS Command Line Interface (AWS CLI) to improve your DC2 cluster to Amazon Redshift Serverless utilizing the snapshot restore technique.

1. Create a snapshot from the supply cluster:

   aws redshift create-cluster-snapshot --cluster-identifier <your-dc2-cluster-id>  --snapshot-identifier <your-snapshot-name>

2. Confirm that the snapshot exists:

   aws redshift describe-cluster-snapshots --snapshot-identifier <your-snapshot-name>

3. Restore the snapshot to your Amazon Redshift Serverless namespace:

   aws redshift-serverless restore-from-snapshot --snapshot-arn "arn:aws:redshift:<your-region>:<your-account-number>:snapshot:<source-cluster-id>/<your-snapshot-name>" --namespace-name <your-serverless-namespace> --workgroup-name <your-serverless-workgroup> --region <your-region>

For extra info, see Restore from cluster snapshot utilizing AWS CLI.

Greatest practices for upgrading to Amazon Redshift Serverless

The next are advisable finest practices when upgrading from Amazon Redshift to Amazon Redshift Serverless.

• Pre-upgrade:
• Publish-upgrade:
  • Replace present connections: Whenever you migrate to Amazon Redshift Serverless, a brand new endpoint can be created. Replace any present connections to enterprise intelligence and different reporting instruments.
  • Observability and monitoring: You probably have any knowledge monitoring instruments utilizing methods views, confirm that there aren’t any open or empty transactions. It’s vital as a finest observe to finish transactions. If you happen to don’t finish or roll again open transactions, Amazon Redshift Serverless will proceed to make use of RPUs for these transactions.
  • Entry: When utilizing IAM authentication with dbUser and dbGroups, your purposes can entry the database utilizing the GetCredentials API. For extra info, see Connecting utilizing IAM.
  • System views: Assessment the checklist of unified system views accessible in Amazon Redshift Serverless.

In case your workloads aren’t fitted to Amazon Redshift Serverless due to their nature or any of the issues listed in Issues when utilizing Amazon Redshift Serverless, you’ll be able to improve to Amazon Redshift RA3 situations by following the RA3 sizing steerage.

Price issues

On this part, we offer info that will help you perceive and handle your Amazon Redshift Serverless prices.

• You may scale back your serverless computing prices by reserving capability prematurely when you’ve gotten predictable utilization patterns.
• Amazon Redshift Serverless mechanically adjusts capability based mostly on workload. By setting a most RPU restrict, you’ll be able to management prices by capping how a lot the system can scale up.
• Amazon Redshift Serverless makes use of RPUs as a compute unit. Whereas it begins with a default of 128 RPUs, you’ll be able to modify the bottom RPU wherever from 4 to 1,024 RPUs to match your particular workload wants and SLA requirement. For extra info, see Billing for Amazon Redshift Serverless.
• Amazon Redshift Serverless mechanically creates restoration factors each half-hour or at any time when 5 GB of information adjustments per node happen, whichever occurs first. The minimal interval between restoration factors is quarter-hour. All restoration factors are retained for twenty-four hours by default.

If it’s worthwhile to protect backups for an extended interval, you’ll be able to create handbook backups. Handbook backups will incur further storage prices.

Clear up

To keep away from incurring future fees, delete the Amazon Redshift Serverless occasion or provisioned knowledge warehouse cluster created as a part of the prerequisite steps. For extra info, see Deleting a workgroup and Shutting down and deleting a cluster.

Conclusion

On this publish, we mentioned the advantages of upgrading Amazon Redshift DC2 situations to Amazon Redshift Serverless, along with the varied choices for upgrading and a few finest practices. It’s important to find out the goal Amazon Redshift Serverless configuration and validate it utilizing Amazon Redshift Take a look at Drive utility in check and growth environments earlier than upgrading.

Get began upgrading to Amazon Redshift Serverless at the moment by implementing the steerage on this publish. You probably have questions or want help, contact AWS Help forarchitectural and design steerage, along with help for proofs of idea and implementation.

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