Tag: Amazon Aurora

Feed: AWS Architecture Blog. Deploying global applications has many challenges, especially when accessing a database to build custom pages for end users. One example is an application using AWS Lambda@Edge. Two main challenges include performance and availability. This blog explains how you can optimally deploy a global application with fast response times and without application changes. The Amazon Aurora Global Database enables a single database cluster to span multiple AWS Regions by asynchronously replicating your data within subsecond timing. This provides fast, low-latency local reads in each Region. It also enables disaster recovery from Region-wide outages using multi-Region writer failover ... Read More

Feed: Recent Announcements. DevOps Guru for RDS expands upon the existing capabilities of DevOps Guru to detect, diagnose, and provide remediation recommendations for a wide variety of database-related performance issues, such as resource over-utilization and misbehavior of SQL queries. When an issue occurs, DevOps Guru for RDS immediately notifies developers and DevOps engineers and provides diagnostic information, details on the extent of the problem, and intelligent recommendations to help customers quickly resolve the issue. DevOps Guru for RDS is offered to customers at no additional charge, as part of the existing price that DevOps Guru charges for RDS resources. DevOps ... Read More

Feed: Recent Announcements. These instances are powered by the AWS Graviton2 processors that are custom designed by AWS using 64-bit Arm Neoverse cores. AWS Graviton2 processors deliver a major leap in performance and capabilities over first-generation AWS Graviton processors, with 7x performance, 4x the number of compute cores, 2x larger caches, and 5x faster memory. AWS Graviton2 processors feature always-on 256-bit DRAM encryption and 50% faster per core encryption performance compared to the first-generation AWS Graviton processors. These performance improvements make Graviton2 database instances a great choice for database workloads. You can launch R6g instances in the Amazon RDS Management ... Read More

Feed: Recent Announcements. Amazon DevOps Guru for RDS is a new Machine Learning (ML) powered capability for Amazon Relational Database Service (Amazon RDS) that automatically detects and diagnoses database performance and operational issues, enabling you to resolve bottlenecks in minutes rather than days. Amazon DevOps Guru for RDS is a feature of Amazon DevOps Guru, which detects operational and performance related issues for all Amazon RDS engines and dozens of other resource types. DevOps Guru for RDS expands upon the existing capabilities of DevOps Guru to detect, diagnose, and provide remediation recommendations for a wide variety of database-related performance issues, such as ... Read More

Feed: Recent Announcements. Amazon Aurora MySQL-Compatible Edition now supports MySQL major version 8.0. MySQL 8.0 includes improved performance functionality from enhancements such as instant DDL to speed up the overall process of creating and loading a table and its associated indexes and SKIP LOCKED and NOWAIT options to avoid waiting for other transactions to release row locks. MySQL 8.0 adds developer productivity features such as window functions to more easily solve query problems and common table expressions to enable use of named temporary result sets. It also includes JSON functionality additions, new security capabilities, and more. MySQL 8.0 on Aurora ... Read More

Feed: Recent Announcements. Aurora Global Database replicates writes from the primary to the secondary AWS Regions with a typical latency of less than one second, enabling both fast failover with minimal data loss and low latency global reads. In unplanned disaster recovery situations, you can promote any secondary AWS Region to take full read-write responsibilities in under a minute. Aurora Global Database is available for both the MySQL-compatible and PostgreSQL-compatible editions of Aurora in 20 AWS Regions. See Amazon Aurora Pricing for a complete list ... Read More

Feed: Recent Announcements. Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to three times better performance than the typical PostgreSQL database, together with increased scalability, durability, and security. For more information, please visit the Amazon Aurora product page. To get started with Amazon Aurora, take a look at our getting started page ... Read More

Feed: Recent Announcements. PostGIS allows you to store, query and analyze geospatial data within a PostgreSQL database. PostGIS 3.1 significantly improves performance such as spatial joins, which now run up to [N]X faster on PostgreSQL 13. As an example, you could use a spatial join to count the number of people living in an area defined by the reception of mobile phones from radio towers. PostGIS 3.1 is the new default version on PostgreSQL 10 and higher starting with the new minor versions. However, you can still create older versions of PostGIS in your PostgreSQL database, e.g., if you require version ... Read More

Feed: Recent Announcements. With Amazon Redshift federated query capability, many customers have been able to combine live data from operational databases with the data in Amazon Redshift data warehouse and the data in Amazon S3 data lake environment in order to get unified analytics view across all the data in the enterprise. Now Amazon Redshift federated query support is generally available for Amazon Aurora MySQL and Amazon RDS for MySQL databases in addition to the existing Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL databases. Amazon Redshift federated query allows you to incorporate live data from the transactional databases as ... Read More

Feed: Recent Announcements. Amazon Aurora Serverless v1 now supports setting timeout for autoscaling. Based on your application’s needs, you can specify a timeout between 1 and 10 minutes with a default value of 5 minutes. Aurora Serverless v1 looks for a period of no activity to initiate a scaling operation. If the timeout period is reached without such a point, you can stay at the current capacity or force the capacity change. Learn more about autoscaling in the Aurora Serverless v1 documentation. To set the timeout, visit the AWS Management Console or use the latest AWS SDK or CLI. Aurora Serverless v1 ... Read More