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Posts tagged #AmazonRDS

InfoQ
InfoQ
@infoq.com
3 days ago
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Netflix shared the blueprint for migrating 400+ production clusters with minimal downtime.

How❓ By building an internal automation platform to move from Amazon RDS for PostgreSQL to Aurora.

🔗 bit.ly/4bm9Vtk

#InfoQ #SoftwareArchitecture #migration #databases #PostgreSQL #AmazonRDS #AmazonAurora

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@awsrecentnews.bsky.social
3 days ago
Preview
Amazon CloudWatch Database Insights on-demand analysis now available in AWS Govcloud (US) Regions Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to AWS GovCloud (US-East) and AWS GovCloud (US-West). CloudWatch Database Insights is a monitoring and diagnostics solution that helps database administrators and developers optimize database performance by providing comprehensive visibility into database metrics, query analysis, and resource utilization patterns. This feature uses machine learning models to help identify performance bottlenecks during the selected time period, and gives advice on what to do next. Previously, database administrators had to manually analyze performance data, correlate metrics, and investigate root cause. This process is time-consuming and requires deep database expertise. With this launch, you can now analyze database performance monitoring data for any time period with automated intelligence. The feature automatically compares your selected time period against normal baseline performance, identifies anomalies, and provides specific remediation advice. Through intuitive visualizations and clear explanations, you can quickly identify performance issues and receive step-by-step guidance for resolution. This automated analysis and recommendation system reduces mean-time-to-diagnosis from hours to minutes. You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your Amazon Aurora and Amazon RDS databases using the RDS service console, AWS APIs, the AWS SDK, or AWS CloudFormation. Please refer to Aurora documentation or RDS documentation to get started.

🆕 Amazon CloudWatch Database Insights now offers on-demand analysis in AWS GovCloud (US) Regions, automating performance bottleneck identification and providing remediation advice, reducing diagnosis time from hours to minutes for Amazon Aurora and RDS databases.

#AWS #AmazonRds

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AWS News(Unofficial)
AWS News(Unofficial)
@awsnews.bsky.social
3 days ago
Amazon CloudWatch Database Insights on-demand analysis now available in AWS Govcloud (US) Regions Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to AWS GovCloud (US-East) and AWS GovCloud (US-West). CloudWatch Database Insights is a monitoring and diagnostics solution that helps database administrators and developers optimize database performance by providing comprehensive visibility into database metrics, query analysis, and resource utilization patterns. This feature uses machine learning models to help identify performance bottlenecks during the selected time period, and gives advice on what to do next. Previously, database administrators had to manually analyze performance data, correlate metrics, and investigate root cause. This process is time-consuming and requires deep database expertise. With this launch, you can now analyze database performance monitoring data for any time period with automated intelligence. The feature automatically compares your selected time period against normal baseline performance, identifies anomalies, and provides specific remediation advice. Through intuitive visualizations and clear explanations, you can quickly identify performance issues and receive step-by-step guidance for resolution. This automated analysis and recommendation system reduces mean-time-to-diagnosis from hours to minutes. You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your Amazon Aurora and Amazon RDS databases using the RDS service console, AWS APIs, the AWS SDK, or AWS CloudFormation. Please refer to https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_PerfInsights.Overview.Engines.html#USER_PerfInsights.Overview.PIfeatureEngnRegSupport or https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_PerfInsights.Overview.Engines.html#USER_PerfInsights.Overview.PIfeatureEngnRegSupport to get started. 

Amazon CloudWatch Database Insights on-demand analysis now available in AWS Govcloud (US) Regions

Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to AWS GovCloud (US-East) and AWS GovCloud (US-West). CloudWatch Database Insight...

#AWS #AmazonRds

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2 weeks ago
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ARC Region switch adds three new capabilities: post-recovery workflows, RDS orchestration and AWS provider support for Terraform Amazon Application Recovery Controller (ARC) Region switch helps customers orchestrate the failover of their multi-Region applications to achieve a bounded recovery time in the event of a Regional impairment. It automates multi-Region disaster recovery, reducing engineering effort and eliminating operational overhead when recovering applications across multiple AWS accounts and Regions. Region switch now includes three new capabilities: post-recovery workflows, native RDS execution blocks, and AWS provider for Terraform support. Post-recovery workflows. Disaster recovery doesn't end when customers failover to a standby Region. After orchestrating a failover or failback, customers must prepare the other Region for the next recovery event. Today, this requires manual coordination of scaling, recreating read replicas, and validating configurations. Post-recovery workflows help customers automate these preparation steps. With this launch, post-recovery workflows support the custom action Lambda execution block, Amazon RDS create read replica execution block, ARC Region switch plan execution block, and the manual approval execution block. Customers can create read replicas, run custom logic via Lambda functions, add manual approval gates, and embed child plans for complex orchestration as part of post-recovery. Post-recovery workflows are available for active/passive deployments and can be triggered manually. RDS execution blocks. Coordinating Amazon RDS database recovery during Regional failover requires manual steps to promote read replicas and recreate replication, introducing delays and errors. Region switch now natively supports two Amazon RDS execution blocks that automate RDS recovery orchestration. The RDS promote read replica execution block orchestrates promotion of a read replica to a standalone instance during failover. The RDS create read replica execution block orchestrates replica creation as part of post-recovery workflows. AWS provider for Terraform support. Region switch is now supported by the AWS provider for Terraform, enabling customers to manage disaster recovery plans as Infrastructure-as-Code and integrate them into CI/CD pipelines alongside application deployments. To learn more, about AWS provider support for Terraform, visit Terraform provider documentation. To learn about post-recovery workflows in action, read the post-recovery workflow tutorial. To get started with Region switch, read our launch blog or documentation.

🆕 AWS Application Recovery Controller (ARC) adds post-recovery workflows, RDS orchestration blocks, and Terraform support for multi-Region disaster recovery, automating failover, failback, and RDS replica management, reducing manual effort and operational overhead.

#AWS #AmazonRds

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AWS News(Unofficial)
AWS News(Unofficial)
@awsnews.bsky.social
2 weeks ago
ARC Region switch adds three new capabilities: post-recovery workflows, RDS orchestration and AWS provider support for Terraform Amazon Application Recovery Controller (ARC) Region switch helps customers orchestrate the failover of their multi-Region applications to achieve a bounded recovery time in the event of a Regional impairment. It automates multi-Region disaster recovery, reducing engineering effort and eliminating operational overhead when recovering applications across multiple AWS accounts and Regions. Region switch now includes three new capabilities: post-recovery workflows, native RDS execution blocks, and AWS provider for Terraform support. Post-recovery workflows. Disaster recovery doesn't end when customers failover to a standby Region. After orchestrating a failover or failback, customers must prepare the other Region for the next recovery event. Today, this requires manual coordination of scaling, recreating read replicas, and validating configurations. Post-recovery workflows help customers automate these preparation steps. With this launch, post-recovery workflows support the custom action Lambda execution block, Amazon RDS create read replica execution block, ARC Region switch plan execution block, and the manual approval execution block. Customers can create read replicas, run custom logic via Lambda functions, add manual approval gates, and embed child plans for complex orchestration as part of post-recovery. Post-recovery workflows are available for active/passive deployments and can be triggered manually. RDS execution blocks. Coordinating Amazon RDS database recovery during Regional failover requires manual steps to promote read replicas and recreate replication, introducing delays and errors. Region switch now natively supports two Amazon RDS execution blocks that automate RDS recovery orchestration. The RDS promote read replica execution block orchestrates promotion of a read replica to a standalone instance during failover. The RDS create read replica execution block orchestrates replica creation as part of post-recovery workflows. AWS provider for Terraform support. Region switch is now supported by the AWS provider for Terraform, enabling customers to manage disaster recovery plans as Infrastructure-as-Code and integrate them into CI/CD pipelines alongside application deployments. To learn more, about AWS provider support for Terraform, visit https://registry.terraform.io/providers/hashicorp/aws/latest/docs/resources/arcregionswitch_plan. To learn about post-recovery workflows in action, read the https://docs.aws.amazon.com/r53recovery/latest/dg/tutorial-post-recovery.html. To get started with Region switch, read our https://aws.amazon.com/blogs/aws/introducing-amazon-application-recovery-controller-region-switch-a-multi-region-application-recovery-service/ or https://docs.aws.amazon.com/r53recovery/latest/dg/region-switch.html.

ARC Region switch adds three new capabilities: post-recovery workflows, RDS orchestration and AWS provider support for Terraform

Amazon Application Recovery Controller (ARC) Region switch helps customers orchestrate the failover of their multi-Region applications to achieve a ...

#AWS #AmazonRds

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2 weeks ago
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Amazon RDS for PostgreSQL supports minor versions 18.3, 17.9, 16.13, 15.17, and 14.22 Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 18.3, 17.9, 16.13, 15.17, and 14.22. These versions address the regression from the February 12, 2026 PostgreSQL community release. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Amazon RDS Blue/Green deployments with physical replication to minimize downtime for minor version upgrades. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI).

🆕 Amazon RDS for PostgreSQL now supports minor versions 18.3, 17.9, 16.13, 15.17, and 14.22 to fix security issues and regressions. Upgrade during maintenance windows using automatic minor version upgrades, AWS Organizations, or Blue/Green deployments for minimal downtime.

#AWS #AmazonRds

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AWS News(Unofficial)
AWS News(Unofficial)
@awsnews.bsky.social
2 weeks ago
Amazon RDS for PostgreSQL supports minor versions 18.3, 17.9, 16.13, 15.17, and 14.22 https://aws.amazon.com/rds/postgresql/ for PostgreSQL now supports the latest minor versions 18.3, 17.9, 16.13, 15.17, and 14.22. These versions address the regression from the February 12, 2026 PostgreSQL community release. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/RDS.Maintenance.AMVU.UpgradeRollout.html to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use https://aws.amazon.com/about-aws/whats-new/2024/11/rds-blue-green-deployments-upgrade-rds-postgresql/ with physical replication to minimize downtime for minor version upgrades. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See https://aws.amazon.com/rds/postgresql/pricing/ for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.CreateInstance.html (CLI).

Amazon RDS for PostgreSQL supports minor versions 18.3, 17.9, 16.13, 15.17, and 14.22

https://aws.amazon.com/rds/postgresql/ for PostgreSQL now supports the latest minor versions 18.3, 17.9, 16.13, 15.17, and 14.22. These versions address the regression from the February 12, 2...

#AWS #AmazonRds

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@awsrecentnews.bsky.social
2 weeks ago
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Amazon CloudWatch now provides lock contention diagnostics for Amazon RDS for PostgreSQL Amazon CloudWatch Database Insights now provides lock contention diagnostics for Amazon RDS for PostgreSQL instances. This feature helps you identify the root cause behind both ongoing and historical lock contention issues within minutes. The lock contention diagnostics feature is available exclusively in the Advanced mode of CloudWatch Database Insights. With this launch, you can visualize a locking condition in the Database Insights console, which shows the relationship between blocking and waiting sessions. The visualization helps you quickly identify the dominating sessions, queries, or objects causing lock contention. Additionally, this feature persists historical locking data for 15 months, allowing you to analyze and investigate historical locking conditions. You no longer need to manually run custom queries or rely on application logs to diagnose lock contention issues, streamlining the troubleshooting process. You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your Amazon RDS for PostgreSQL clusters using the RDS console, AWS APIs, or the AWS SDK. CloudWatch Database Insights delivers database health monitoring aggregated at the fleet level, as well as instance-level dashboards for detailed database and SQL query analysis. CloudWatch Database Insights is available in all public AWS Regions and offers vCPU-based pricing – see the pricing page for details. For further information, visit the Database Insights documentation.

🆕 Amazon CloudWatch Database Insights now aids RDS PostgreSQL with lock contention diagnostics, visualizing issues quickly. Advanced mode retains data for 15 months, easing troubleshooting. Enable via RDS console or APIs; available globally with vCPU-based pricing.

#AWS #AmazonRds

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AWS News(Unofficial)
AWS News(Unofficial)
@awsnews.bsky.social
2 weeks ago
Amazon CloudWatch now provides lock contention diagnostics for Amazon RDS for PostgreSQL Amazon CloudWatch Database Insights now provides lock contention diagnostics for Amazon RDS for PostgreSQL instances. This feature helps you identify the root cause behind both ongoing and historical lock contention issues within minutes. The lock contention diagnostics feature is available exclusively in the Advanced mode of CloudWatch Database Insights. With this launch, you can visualize a locking condition in the Database Insights console, which shows the relationship between blocking and waiting sessions. The visualization helps you quickly identify the dominating sessions, queries, or objects causing lock contention. Additionally, this feature persists historical locking data for 15 months, allowing you to analyze and investigate historical locking conditions. You no longer need to manually run custom queries or rely on application logs to diagnose lock contention issues, streamlining the troubleshooting process. You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your Amazon RDS for PostgreSQL clusters using the RDS console, AWS APIs, or the AWS SDK. CloudWatch Database Insights delivers database health monitoring aggregated at the fleet level, as well as instance-level dashboards for detailed database and SQL query analysis. CloudWatch Database Insights is available in https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ and offers vCPU-based pricing – see the https://aws.amazon.com/cloudwatch/pricing/ for details. For further information, visit thehttps://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/Database-Insights.html https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/Database-Insights.html

Amazon CloudWatch now provides lock contention diagnostics for Amazon RDS for PostgreSQL

Amazon CloudWatch Database Insights now provides lock contention diagnostics for Amazon RDS for PostgreSQL instances. This feature helps you identify the root cause behind both ongoing and...

#AWS #AmazonRds

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@awsrecentnews.bsky.social
2 weeks ago
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Amazon RDS Snapshot Export to S3 now available in AWS GovCloud (US) Regions Amazon RDS Snapshot Export to S3 is now available in AWS GovCloud (US) regions, enabling you to export snapshot data in Apache Parquet format for analytics, data retention, and machine learning use cases. Snapshot export to S3 supports all DB snapshot types (manual, automated system, and AWS Backup snapshots) and runs directly on the snapshot without impacting database performance. The exported data in Apache Parquet format can be analyzed using other AWS services such as Amazon Athena, Amazon SageMaker, or Amazon Redshift Spectrum, or with big data processing frameworks such as Apache Spark. You can create a snapshot export with just a few clicks in the Amazon RDS Management Console or by using the AWS SDK or CLI. Snapshot Export to S3 is supported for Amazon Aurora PostgreSQL - Compatible Edition and Amazon Aurora MySQL, Amazon RDS for PostgreSQL, Amazon RDS for MySQL, and Amazon RDS for MariaDB snapshots. For more information, including instructions on getting started, read Aurora documentation or Amazon RDS documentation.

🆕 Amazon RDS Snapshot Export to S3 now available in AWS GovCloud (US) for analytics and ML. Supports all snapshot types, exports in Parquet format, and integrates with AWS services like Athena and SageMaker. Easy setup via RDS console or AWS CLI.

#AWS #AmazonRds

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AWS News(Unofficial)
AWS News(Unofficial)
@awsnews.bsky.social
2 weeks ago
Amazon RDS Snapshot Export to S3 now available in AWS GovCloud (US) Regions https://aws.amazon.com/rds/ Snapshot Export to S3 is now available in AWS GovCloud (US) regions, enabling you to export snapshot data in Apache Parquet format for analytics, data retention, and machine learning use cases. Snapshot export to S3 supports all DB snapshot types (manual, automated system, and AWS Backup snapshots) and runs directly on the snapshot without impacting database performance. The exported data in Apache Parquet format can be analyzed using other AWS services such as Amazon Athena, Amazon SageMaker, or Amazon Redshift Spectrum, or with big data processing frameworks such as Apache Spark. You can create a snapshot export with just a few clicks in the Amazon RDS Management Console or by using the AWS SDK or CLI. Snapshot Export to S3 is supported for Amazon Aurora PostgreSQL - Compatible Edition and Amazon Aurora MySQL, Amazon RDS for PostgreSQL, Amazon RDS for MySQL, and Amazon RDS for MariaDB snapshots. For more information, including instructions on getting started, read https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_ExportSnapshot.html?refid=ceaf07a2-36ab-4fba-b62f-bcf6c48ca9f2 or https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ExportSnapshot.html.

Amazon RDS Snapshot Export to S3 now available in AWS GovCloud (US) Regions

https://aws.amazon.com/rds/ Snapshot Export to S3 is now available in AWS GovCloud (US) regions, enabling you to export snapshot data in Apache Parquet format for analytics, data retention, and machine...

#AWS #AmazonRds

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stormit
stormit
@stormitcloud.bsky.social
2 weeks ago
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Big win 🎉

Stormit is now an AWS Service Delivery Partner for Amazon RDS.
It’s not new work. It’s a formal recognition of what we’ve delivered for years.

Read more: lnkd.in/dqzvN6jR

#Stormit #AWS #AmazonRDS

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3 weeks ago
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Amazon Aurora MySQL 3.12 (compatible with MySQL 8.0.44) is now generally available Starting today, Amazon Aurora MySQL - Compatible Edition 3 (with MySQL 8.0 compatibility) will support MySQL 8.0.44 through Aurora MySQL v3.12. In addition to many security enhancements and bug fixes, Aurora MySQL v3.12 contains several availability improvements. For more details, refer to the Aurora MySQL 3.12 and MySQL 8.0.44 release notes. To upgrade to Aurora MySQL 3.12, you can initiate a minor version upgrade manually by modifying your DB cluster, or you can enable the “Auto minor version upgrade” option when creating or modifying a DB cluster. This release is available in all AWS regions where Aurora MySQL is available. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other Amazon Web Services services. To get started with Amazon Aurora, take a look at our getting started page.

🆕 Amazon Aurora MySQL 3.12 (MySQL 8.0.44 compatible) is now available, offering security updates, bug fixes, and availability improvements. Upgrade manually or enable auto minor version upgrade. Available in all AWS regions. For details, see release notes.

#AWS #AmazonRds

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AWS News(Unofficial)
AWS News(Unofficial)
@awsnews.bsky.social
3 weeks ago
Amazon Aurora MySQL 3.12 (compatible with MySQL 8.0.44) is now generally available Starting today, Amazon Aurora MySQL - Compatible Edition 3 (with MySQL 8.0 compatibility) will support MySQL 8.0.44 through Aurora MySQL v3.12. In addition to many security enhancements and bug fixes, Aurora MySQL v3.12 contains several availability improvements. For more details, refer to the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraMySQLReleaseNotes/AuroraMySQL.Updates.30Updates.html and https://dev.mysql.com/doc/relnotes/mysql/8.0/en/news-8-0-44.html release notes. To upgrade to Aurora MySQL 3.12, you can initiate a minor version upgrade manually by https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Updates.Patching.ModifyEngineVersion.html, or you can enable the “https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Updates.AMVU.html” option when creating or modifying a DB cluster. This release is available in all https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Concepts.RegionsAndAvailabilityZones.html#Aurora.Overview.Availability.MySQL where Aurora MySQL is available. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other Amazon Web Services services. To get started with Amazon Aurora, take a look at our https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_GettingStartedAurora.html.

Amazon Aurora MySQL 3.12 (compatible with MySQL 8.0.44) is now generally available

Starting today, Amazon Aurora MySQL - Compatible Edition 3 (with MySQL 8.0 compatibility) will support MySQL 8.0.44 through Aurora MySQL v3.12.

In addition to many security enhancements and...

#AWS #AmazonRds

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AWS News(Unofficial)
AWS News(Unofficial)
@awsnews.bsky.social
3 weeks ago
AWS Weekly Roundup: Amazon EC2 M8azn instances, new open weights models in Amazon Bedrock, and more (February 16, 2026) I joined AWS in 2021, and since then I’ve watched the Amazon Elastic Compute Cloud (Amazon EC2) instance family grow at a pace that still surprises me. From AWS Graviton-powered instances to specialized accelerated computing options, it feels like every few months there’s a new instance type landing that pushes performance boundaries further. As of […]

AWS Weekly Roundup: Amazon EC2 M8azn instances, new open weights models in Amazon Bedrock, and more (February 16, 2026)

I joined AWS in 2021, and since then I’ve watched the Amazon Elastic ...

#AWS #AmazonBedrock #AmazonElasticKubernetesService #AmazonOpensearchService #AmazonRds #WeekInReview

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AWS News(Unofficial)
AWS News(Unofficial)
@awsnews.bsky.social
1 month ago
Amazon RDS now supports backup configuration when restoring snapshots Amazon Relational Database Service (RDS) and Amazon Aurora now offer greater flexibility for restore operations to view and modify backup retention period and preferred backup window prior to and upon restoring database snapshots. The backup retention period lets you specify how many days backups are retained, while the preferred backup window allows you to set your desired backup schedule. Previously, restored database instances and clusters inherited backup parameter values from snapshot metadata and could only be modified after restore was complete. This launch introduces two enhancements - you can now view the backup retention period and preferred backup window settings as part of automated backups and snapshots, providing visibility into backup configurations before initiating restore operation. Additionally, you can now specify or modify the backup retention period and preferred backup window when restoring database instances and clusters, eliminating the need to modify the instance or cluster after restoration. These enhancements are available for all Amazon RDS database engines (MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, and DB2) and Amazon Aurora (MySQL-Compatible and PostgreSQL-Compatible editions) in all AWS commercial regions and AWS GovCloud (US) regions where RDS and Aurora are supported and respective database engines are available. You can use these features through the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs at no additional cost. For more information, see https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/CHAP_CommonTasks.BackupRestore.html and https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/BackupRestoreAurora.html User Guide.

Amazon RDS now supports backup configuration when restoring snapshots

Amazon Relational Database Service (RDS) and Amazon Aurora now offer greater flexibility for restore operations to view and modify backup retention period and preferred backup window prior to and upon restor...

#AWS #AmazonRds

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@awsrecentnews.bsky.social
1 month ago
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Amazon RDS for PostgreSQL supports minor versions 18.2, 17.8, 16.12, 15.16 and 14.21 Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 18.2, 17.8, 16.12, 15.16, and 14.21. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. This release also includes new extension pg_stat_monitor that enables you to collect performance metrics and evaluate query performance insights in a unified view. You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Amazon RDS Blue/Green deployments with physical replication to minimize downtime for minor version upgrades. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI).

🆕 Amazon RDS for PostgreSQL now supports minor versions 18.2, 17.8, 16.12, 15.16, and 14.21. Upgrade for security fixes and new extension pg_stat_monitor for performance metrics. Use automatic upgrades and AWS Organizations policies for smooth transitions.

#AWS #AmazonRds

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AWS News(Unofficial)
AWS News(Unofficial)
@awsnews.bsky.social
1 month ago
Amazon RDS for PostgreSQL supports minor versions 18.2, 17.8, 16.12, 15.16 and 14.21 https://aws.amazon.com/rds/postgresql/ for PostgreSQL now supports the latest minor versions 18.2, 17.8, 16.12, 15.16, and 14.21. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. This release also includes new extension pg_stat_monitor that enables you to collect performance metrics and evaluate query performance insights in a unified view. You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/RDS.Maintenance.AMVU.UpgradeRollout.html to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use https://aws.amazon.com/about-aws/whats-new/2024/11/rds-blue-green-deployments-upgrade-rds-postgresql/ with physical replication to minimize downtime for minor version upgrades. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See https://aws.amazon.com/rds/postgresql/pricing/ for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.CreateInstance.html (CLI).  

Amazon RDS for PostgreSQL supports minor versions 18.2, 17.8, 16.12, 15.16 and 14.21

https://aws.amazon.com/rds/postgresql/ for PostgreSQL now supports the latest minor versions 18.2, 17.8, 16.12, 15.16, and 14.21. We recommend that you upgrade to the latest minor versions to...

#AWS #AmazonRds

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AWS News(Unofficial)
AWS News(Unofficial)
@awsnews.bsky.social
1 month ago
Amazon RDS for MariaDB now supports community MariaDB minor versions 10.6.25, 10.11.16, 11.4.10, and 11.8.6 https://aws.amazon.com/rds/mariadb/ now supports community MariaDB minor versions 10.6.25, 10.11.16, 11.4.10, and 11.8.6. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the bug fixes, performance improvements, and new functionality added by the MariaDB community. You can leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also leverage https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/blue-green-deployments.html for safer, simpler, and faster updates to your MariaDB instances. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green Deployments, in the https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_UpgradeDBInstance.MariaDB.html Amazon RDS for MariaDB makes it straightforward to set up, operate, and scale MariaDB deployments in the cloud. Learn more about pricing details and regional availability at https://aws.amazon.com/rds/mariadb/pricing/. Create or update a fully managed Amazon RDS database in the https://console.aws.amazon.com/rds/home.

Amazon RDS for MariaDB now supports community MariaDB minor versions 10.6.25, 10.11.16, 11.4.10, and 11.8.6

https://aws.amazon.com/rds/mariadb/ now supports community MariaDB minor versions 10.6.25, 10.11.16, 11.4.10, and 11.8.6. We recommend that you upgrade to the latest min...

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1 month ago
Amazon RDS for MySQL now supports new minor versions 8.0.45 and 8.4.8 https://aws.amazon.com/rds/mysql/ now supports MySQL minor versions 8.0.45 and 8.4.8, the latest minors released by the MySQL community. We recommend upgrading to the newer minor versions to fix known security vulnerabilities in prior versions of MySQL and to benefit from bug fixes, performance improvements, and new functionality added by the MySQL community. Learn more about the enhancements in RDS for MySQL 8.0.45 and 8.4.8 in the https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/MySQL.Concepts.VersionMgmt.html. You can leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/blue-green-deployments.html for safer, simpler, and faster updates to your MySQL instances. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green Deployments, in the https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_UpgradeDBInstance.MySQL.html Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. Learn more about pricing details and regional availability at https://aws.amazon.com/rds/mysql/pricing/. Create or update a fully managed Amazon RDS for MySQL database in the https://console.aws.amazon.com/rds/home.

Amazon RDS for MySQL now supports new minor versions 8.0.45 and 8.4.8

https://aws.amazon.com/rds/mysql/ now supports MySQL minor versions 8.0.45 and 8.4.8, the latest minors released by the MySQL community. We recommend upgrading to the newer minor versions to fix known securi...

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1 month ago
Amazon RDS now provides an enhanced console experience to connect to a database Amazon RDS now provides an enhanced console experience that consolidates and provides all relevant information needed to connect to a database in one place, making it easier to connect to your RDS databases. The new console experience provides ready-made code snippets for Java, Python, Node.js and other programming languages as well as tools like the psql command line utility. These code snippets are automatically adjusted based on your database's authentication settings. For example, if your cluster uses IAM authentication, the generated code snippets will use token-based authentication to connect to the database. The console experience also includes integrated CloudShell access, offering the ability to connect to your databases directly from within the RDS console. This feature is available for Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Amazon RDS for PostgreSQL, Amazon RDS for MySQL, Amazon RDS for MariaDB database engines across https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ Get started with the new console experience for database connectivity through the https://console.aws.amazon.com/rds/home. To learn more, see the https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Welcome.htmland https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_AuroraOverview.htmluser guide

Amazon RDS now provides an enhanced console experience to connect to a database

Amazon RDS now provides an enhanced console experience that consolidates and provides all relevant information needed to connect to a database in one place, making it easier to connec...

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1 month ago
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Amazon RDS now provides an enhanced console experience to connect to a database Amazon RDS now provides an enhanced console experience that consolidates and provides all relevant information needed to connect to a database in one place, making it easier to connect to your RDS databases. The new console experience provides ready-made code snippets for Java, Python, Node.js and other programming languages as well as tools like the psql command line utility. These code snippets are automatically adjusted based on your database's authentication settings. For example, if your cluster uses IAM authentication, the generated code snippets will use token-based authentication to connect to the database. The console experience also includes integrated CloudShell access, offering the ability to connect to your databases directly from within the RDS console. This feature is available for Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Amazon RDS for PostgreSQL, Amazon RDS for MySQL, Amazon RDS for MariaDB database engines across all commercial AWS Regions. Get started with the new console experience for database connectivity through the Amazon RDS Console. To learn more, see the Amazon RDS and Aurora user guide

🆕 Amazon RDS now offers an enhanced console experience for easier database connection, featuring code snippets for various languages, psql utility, IAM-based auth, and integrated CloudShell access. Available for Aurora and RDS databases in all AWS regions.

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1 month ago
New capabilities to optimize costs and improve scalability on Amazon RDS for SQL Server and Oracle Manage development, testing, and production database workloads more efficiently with new features including Developer Edition support for SQL Server, M7i/R7i instance support with optimize CPU, and expanded storage options up to 256 TiB.

New capabilities to optimize costs and improve scalability on Amazon RDS for SQL Server and Oracle

Manage development, testing, and production database workloads more efficiently with new features including Developer Edition support for SQL S...

#AWS #AmazonRds #Database #Launch #RdsForSqlServer

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1 month ago
Amazon RDS now supports IPv6 for VPC endpoints of RDS Service APIs Amazon RDS now supports Internet Protocol version 6 (IPv6) for VPC endpoints of RDS Service APIs, in addition to the existing IPv6 support for public endpoints. This allows you to configure dual-stack (IPv4 and IPv6) connectivity to access https://docs.aws.amazon.com/general/latest/gr/rds-service.html directly from within your VPC without internet traversal. https://aws.amazon.com/vpc/ipv6/ provides an expanded address space, enabling you to scale your application on AWS beyond the limitations of IPv4 addresses. With IPv6, you can assign easy to manage contiguous IP ranges to micro-services and can get virtually unlimited scale for your applications. Moreover, with support for both IPv4 and IPv6, you can gradually transition applications from IPv4 to IPv6, enabling safer migration. This feature is available in all commercial AWS regions and AWS GovCloud (US) regions. Get started with the RDS Service APIs https://docs.aws.amazon.com/general/latest/gr/rds-service.html. To learn more about configuring your environment for IPv6, please refer to the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_VPC.WorkingWithRDSInstanceinaVPC.html.

Amazon RDS now supports IPv6 for VPC endpoints of RDS Service APIs

Amazon RDS now supports Internet Protocol version 6 (IPv6) for VPC endpoints of RDS Service APIs, in addition to the existing IPv6 support for public endpoints. This allows you to configure dual-stack (IPv4 and...

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1 month ago
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Amazon RDS now supports IPv6 for VPC endpoints of RDS Service APIs Amazon RDS now supports Internet Protocol version 6 (IPv6) for VPC endpoints of RDS Service APIs, in addition to the existing IPv6 support for public endpoints. This allows you to configure dual-stack (IPv4 and IPv6) connectivity to access RDS Service APIs directly from within your VPC without internet traversal. IPv6 provides an expanded address space, enabling you to scale your application on AWS beyond the limitations of IPv4 addresses. With IPv6, you can assign easy to manage contiguous IP ranges to micro-services and can get virtually unlimited scale for your applications. Moreover, with support for both IPv4 and IPv6, you can gradually transition applications from IPv4 to IPv6, enabling safer migration. This feature is available in all commercial AWS regions and AWS GovCloud (US) regions. Get started with the RDS Service APIs here. To learn more about configuring your environment for IPv6, please refer to the IPv6 User Guide.

🆕 Amazon RDS now supports IPv6 for VPC endpoints, enabling dual-stack connectivity within your VPC for safer IPv4-to-IPv6 migration. This expands address space and allows for virtually unlimited scale. Available in all commercial AWS regions and AWS GovCloud (US) regions.

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1 month ago
Amazon RDS for PostgreSQL, MySQL and MariaDB now support r6id and r6gd database instances in additional AWS Regions AWS memory optimized R6id database instances are now generally available for Amazon RDS for PostgreSQL, MySQL, and MariaDB in the Tel Aviv region. R6gd instances are now supported for Amazon RDS for PostgreSQL, MySQL, and MariaDB in Asia Pacific (Osaka), and EU (Spain, Zurich) regions.  AWS Graviton2-based instances provide up to 40% performance improvement over R5-based instances of equivalent sizes on Amazon Aurora and Amazon RDS databases, depending on database engine, version, and workload. R6gd instances also deliver local NVMe-based block level storage for low latency local storage. Memory-optimized R6id instances offer 58% higher TB storage per vCPU and 15% better price performance when compared with R5d instances. You can easily launch R6gd or R6id database instances through the https://console.aws.amazon.com/rds/home or by using the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.CreateInstance.html (CLI). For detailed information about specific engine versions that support these database instance types, please refer to the https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Concepts.DBInstanceClass.SupportAurora.html and https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.DBInstanceClass.Support.html documentation. For complete information on pricing and regional availability, please refer to the Amazon RDS https://aws.amazon.com/rds/pricing/.

Amazon RDS for PostgreSQL, MySQL and MariaDB now support r6id and r6gd database instances in additional AWS Regions

AWS memory optimized R6id database instances are now generally available for Amazon RDS for PostgreSQL, MySQL, and MariaDB in the Tel Aviv region. R6gd instances...

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1 month ago
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Amazon RDS for PostgreSQL, MySQL and MariaDB now support r6id and r6gd database instances in additional AWS Regions AWS memory optimized R6id database instances are now generally available for Amazon RDS for PostgreSQL, MySQL, and MariaDB in the Tel Aviv region. R6gd instances are now supported for Amazon RDS for PostgreSQL, MySQL, and MariaDB in Asia Pacific (Osaka), and EU (Spain, Zurich) regions.  AWS Graviton2-based instances provide up to 40% performance improvement over R5-based instances of equivalent sizes on Amazon Aurora and Amazon RDS databases, depending on database engine, version, and workload. R6gd instances also deliver local NVMe-based block level storage for low latency local storage. Memory-optimized R6id instances offer 58% higher TB storage per vCPU and 15% better price performance when compared with R5d instances. You can easily launch R6gd or R6id database instances through the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI). For detailed information about specific engine versions that support these database instance types, please refer to the Aurora and RDS documentation. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page.

🆕 AWS now provides memory-optimized r6id and r6gd instances for RDS PostgreSQL, MySQL, and MariaDB in Tel Aviv, Osaka, Spain, and Zurich, boosting performance and storage with Graviton2. Launch via RDS console or CLI. Check pricing on the Amazon RDS page.

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1 month ago
Amazon RDS for MySQL announces Innovation Release 9.5 in Amazon RDS Database Preview Environment https://aws.amazon.com/rds/mysql/ now supports community MySQL Innovation Release 9.5 in the https://aws.amazon.com/rds/databasepreview/, allowing you to evaluate the latest Innovation Release on Amazon RDS for MySQL. You can deploy MySQL 9.5 in the Amazon RDS Database Preview Environment which provides the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases. MySQL 9.5 is the latest Innovation Release from the MySQL community. MySQL Innovation releases include bug fixes, security patches, as well as new features. MySQL Innovation releases are supported by the community until the next innovation minor, whereas MySQL Long Term Support (LTS) Releases, such as MySQL 8.0 and MySQL 8.4, are supported by the community for up to eight years. Please refer to the https://dev.mysql.com/doc/relnotes/mysql/9.5/en/ and https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/MySQL.Concepts.VersionMgmt.html#mysql-preview-environment-version-9-5 for more details. Amazon RDS Database Preview Environment supports both Single-AZ and Multi-AZ deployments on the latest generation of instance classes. Amazon RDS Database Preview Environment database instances are retained for a maximum of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots created in the Preview Environment can only be used to create or restore database instances within the Preview Environment. Amazon RDS Database Preview Environment database instances are https://aws.amazon.com/rds/mysql/pricing/. For further information, see https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/MySQL.Concepts.VersionMgmt.html#mysql-working-with-the-database-preview-environment. To get started with the Preview Environment from the RDS console, navigate here.

Amazon RDS for MySQL announces Innovation Release 9.5 in Amazon RDS Database Preview Environment

https://aws.amazon.com/rds/mysql/ now supports community MySQL Innovation Release 9.5 in the https://aws.amazon.com/rds/databasepreview/ allowing you to evaluate the latest Innova...

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1 month ago
Oracle Database@AWS now supports sharing of AWS Marketplace entitlements across accounts Today, https://aws.amazon.com/marketplace/featured-seller/oracle/ announced ability to share AWS Marketplace entitlements across accounts within an AWS Organization. With this feature, customers can now accept an Oracle Database@AWS AWS Marketplace offer in one AWS account, and share that entitlement with additional accounts in their AWS Organization. This allows customers to consume Oracle Database@AWS services from multiple AWS accounts using a single AWS Marketplace entitlement purchased for their organization. Many Oracle Database@AWS customers use separate AWS accounts for their development and production environments, and for different business units within their organization. Customers want a single buyer agreement to use Oracle Database@AWS within their organization, and use the purchased AWS Marketplace entitlement across multiple business units, and across their development and production environments. With https://aws.amazon.com/marketplace/features/managed-entitlements/, customers can now share their Oracle Database@AWS entitlement with other accounts in their AWS Organization using https://aws.amazon.com/license-manager/ console or APIs. These accounts can accept and activate their shared AWS Marketplace entitlement from AWS License Manager, and then start consuming Oracle Database@AWS services using the shared entitlement. This feature is available in all AWS Regions where Oracle Database@AWS is offered. For information about managing entitlements on Oracle Database@AWS, see https://docs.aws.amazon.com/odb/latest/UserGuide/entitlement-sharing.html. To learn more about Oracle Database@AWS, visit the https://aws.amazon.com/marketplace/featured-seller/oracle/. 

Oracle Database@AWS now supports sharing of AWS Marketplace entitlements across accounts

Today, aws.amazon.com/marketplace/featured-sel... announced ability to share AWS Marketplace entitlements across accounts within an AWS Organization. With t...

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1 month ago
Amazon CloudWatch Database Insights on-demand analysis now available in four additional Regions Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to four additional Regions - Asia Pacific (New Zealand), Asia Pacific (Taipei), Asia Pacific (Thailand), and Mexico (Central). CloudWatch Database Insights is a monitoring and diagnostics solution that helps database administrators and developers optimize database performance by providing comprehensive visibility into database metrics, query analysis, and resource utilization patterns. This feature leverages machine learning models to help identify performance bottlenecks during the selected time period, and gives advice on what to do next. Previously, database administrators had to manually analyze performance data, correlate metrics, and investigate root cause. This process is time-consuming and requires deep database expertise. With this launch, you can now analyze database performance monitoring data for any time period with automated intelligence. The feature automatically compares your selected time period against normal baseline performance, identifies anomalies, and provides specific remediation advice. Through intuitive visualizations and clear explanations, you can quickly identify performance issues and receive step-by-step guidance for resolution. This automated analysis and recommendation system reduces mean-time-to-diagnosis from hours to minutes. You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your Amazon Aurora and Amazon RDS databases using the RDS service console, AWS APIs, the AWS SDK, or AWS CloudFormation. Please refer to https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_PerfInsights.Overview.Engines.html#USER_PerfInsights.Overview.PIfeatureEngnRegSupport or https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_PerfInsights.Overview.Engines.html to get started. 

Amazon CloudWatch Database Insights on-demand analysis now available in four additional Regions

Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to four additional Regions - Asia Pacific (New Zealand), Asia Pacific (Taipei), Asi...

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