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  1. Amazon Relational Database Service (Amazon RDS) for PostgreSQL 16.0 is now available in the Amazon RDS Database Preview Environment, allowing you to evaluate PostgreSQL 16.0 on Amazon RDS for PostgreSQL. You can deploy PostgreSQL 16.0 in the Preview Environment and have the same benefits of a fully managed database, making it simpler to set up, operate, and monitor databases. PostgreSQL 16.0 in the Preview Environment also includes support for logical decoding on read replicas, AWS libcrypto (AWS-LC), and over 80 PostgreSQL extensions such as pgvector, pg_tle, h3-pg, pg_cron, and rdkit. View the full article
  2. Amazon Relational Database Service (Amazon RDS) PostgreSQL Multi-AZ Deployments with two readable standbys now supports major version upgrades. Starting today, you can upgrade your RDS for PostgreSQL Multi-AZ Deployments with two readable standbys from major version 13.4 and above and 14.5 and above to 15.4 with just a few clicks on the AWS Management Console. View the full article
  3. Great article on the fastest methods to load data into a PostgreSQL DB using Python; https://hakibenita.com/fast-load-data-python-postgresql
  4. Amazon Aurora now supports R6i instances powered by 3rd generation Intel Xeon Scalable processors. R6i instances are the 6th generation of Amazon EC2 memory optimized instances, designed for memory-intensive workloads. These instances are built on the AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances. R6i instances are currently available when using Amazon Aurora PostgreSQL-Compatible Edition. View the full article
  5. AWS Database Migration Service (AWS DMS) has expanded functionality by adding support for Babelfish for Aurora PostgreSQL as a target. Babelfish for Aurora PostgreSQL is a new translation layer for Amazon Aurora PostgreSQL-Compatible Edition that enables Aurora to understand commands from applications written for Microsoft SQL Server. Using AWS DMS, you can now perform full load migrations to Babelfish for Aurora PostgreSQL with minimal downtime. View the full article
  6. Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL major version 14 (14.3). PostgreSQL 14 includes performance improvements for parallel queries, heavily-concurrent workloads, partitioned tables, logical replication, and vacuuming. PostgreSQL 14 also improves functionality with new capabilities. For example, you can cancel long-running queries if a client disconnects and you can close idle sessions if they time out. Range types now support multiranges, allowing representation of non-contiguous data ranges, and stored procedures can now return data via OUT parameters. This release includes new features for Babelfish for Aurora PostgreSQL version 2.1. Please refer to Amazon Aurora PostgreSQL updates for more information. View the full article
  7. Following the announcement of updates to the PostgreSQL database by the open source community, we have updated Amazon Aurora PostgreSQL-Compatible Edition to support PostgreSQL 13.7, 12.11, 11.16, and 10.21. These releases contain bug fixes and improvements by the PostgreSQL community. Refer to the Aurora version policy to help you to decide how often to upgrade and how to plan your upgrade process. View the full article
  8. Amazon Aurora PostgreSQL-Compatible Edition now supports the Large Objects (LO) module. The LO module provides support for managing Large Objects (also called LOs or BLOBs). View the full article
  9. Amazon Aurora PostgreSQL-compatible edition now supports zero-downtime patching (ZDP). With ZDP, customers can upgrade to a new PostgreSQL version and apply patches to their Aurora cluster without any downtime. View the full article
  10. Recently, at Google I/O, we announced AlloyDB for PostgreSQL, a fully-managed, PostgreSQL-compatible database for demanding, enterprise-grade transactional and analytical workloads. Imagine PostgreSQL plus the best of the cloud: elastic storage and compute, intelligent caching, and AI/ML-powered management. Further, AlloyDB delivers unmatched price-performance: In our performance tests, it’s more than 4x faster on transactional workloads, and up to 100x faster on analytical queries than standard PostgreSQL, all with simple, predictable pricing. Designed for mission-critical applications, AlloyDB offers extensive data protection and an industry leading 99.99% availability SLA, inclusive of maintenance. Read Article
  11. Releases CloudNativePG to Power Modern Cloud Applications with Unprecedented Flexibility Bedford, Mass. May 16, 2022 – EDB, the world leader in accelerating Postgres in the enterprise, announced the release of CloudNativePG, the first open source operator optimized for Kubernetes, and the submission of a Sandbox application to the Cloud Native Computing Foundation (CNCF). Built on […] The post EDB Accelerates Innovation with World’s First Openly Governed Postgres Operator for Kubernetes appeared first on DevOps.com. View the full article
  12. Enterprises are struggling to free themselves from legacy database systems, and need an alternative option to modernize their applications. Today at Google I/O, we’re thrilled to announce the preview of AlloyDB for PostgreSQL, a fully-managed, PostgreSQL-compatible database service that provides a powerful option for modernizing your most demanding enterprise database workloads. Compared with standard PostgreSQL, in our performance tests, AlloyDB was more than four times faster for transactional workloads, and up to 100 times faster for analytical queries. AlloyDB was also two times faster for transactional workloads than Amazon’s comparable service. This makes AlloyDB a powerful new modernization option for transitioning off of legacy databases. Read Article
  13. Amazon Relational Database Service (Amazon RDS) for PostgreSQL announces support for PostgreSQL 14 with three levels of cascaded read replicas, 5 replicas per instance, supporting a maximum of up to 155 read replicas per source instance. You can now create Single-AZ or Multi-AZ cascaded read replica DB instances in same region or any one cross region from another read replica instance, enabling you to build a more robust disaster recovery architecture. View the full article
  14. Amazon Relational Database Service (Amazon RDS) for PostgreSQL, version 11 and higher, now supports M6i and R6i instances. M6i instances are the 6th generation of Amazon EC2 x86-based General Purpose compute instances, designed to provide a balance of compute, memory, storage, and network resources. R6i instances are the 6th generation of Amazon EC2 memory optimized instances, designed for memory-intensive workloads. Both M6i and R6i instances are built on the AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances. View the full article
  15. Amazon Relational Database Service (Amazon RDS) now supports AWS Graviton2-based database (DB) instances in the regions of AWS GovCloud (US), Asia Pacific (Seoul), and Europe (Stockholm). Depending on DB engine, version, and workload, Graviton2 instances provide up to 35% performance improvement and up to 52% price/performance improvement over comparable current generation x86-based instances for Amazon RDS for MySQL, MariaDB, and PostgreSQL. View the full article
  16. Following the announcement of updates to the PostgreSQL database, we have updated Amazon RDS for PostgreSQL to support PostgreSQL minor versions 13.2, 12.6, 11.11, 10.16, 9.6.21, and 9.5.25. This release closes security vulnerabilities in PostgreSQL and contains bug fixes and improvements done by the PostgreSQL community. This also includes the final release of PostgreSQL 9.5. View the full article
  17. Pgadmin4 is an opensource web-based management tool for managing PostgreSQL databases. It’s a Python-based web-application developed using the flask framework at the backend and HTML5, CSS3, and Bootstrap on the frontend. Pgadmin4 is a The post How to Install PostgreSQL and pgAdmin in RHEL 8 first appeared on Tecmint: Linux Howtos, Tutorials & Guides. View the full article
  18. Every monitoring solution is limited by the information the system allows to be collected. PostgreSQL DBMS provides many metrics reflecting its internal state, running queries and background processes, and each release brings the community more monitoring-related features. PostgreSQL 13, which was released in September of 2020, added key improvements, including query sampling, improved WAL usage […] The post New Monitoring Features in PostgreSQL 13 appeared first on DevOps.com. View the full article
  19. Amazon Aurora with PostgreSQL compatibility can now make calls to AWS Lambda functions. AWS Lambda lets you run code without provisioning or managing servers, and without worrying about scalability. View the full article
  20. Following the announcement of updates to the PostgreSQL database by the open source community, we have updated Amazon Aurora with PostgreSQL compatibility to support PostgreSQL versions 11.9, 10.14, and 9.6.19. These releases contain bug fixes and improvements by the PostgreSQL community. View the full article
  21. Amazon Aurora Serverless v1 with PostgreSQL compatibility is now available in Asia Pacific (Singapore), Asia Pacific (Sydney) Asia Pacific (Seoul), Asia Pacific (Mumbai), Canada (Central), Europe (London), Europe (Paris), and US West (N. California) regions. View the full article
  22. Amazon RDS Performance Insights supports additional dimensions to identify the source of high-frequency, long-running, and stuck SQL queries faster. The new Performance Insights dimensions are available on Amazon RDS for PostgreSQL and Amazon Aurora with PostgreSQL compatibility. View the full article
  23. AWS Database Migration Service (AWS DMS) has expanded functionality by adding support for Amazon Aurora Serverless (PostgreSQL-compatible edition) as a target. Amazon Aurora Serverless (PostgreSQL-compatible edition) is an on-demand, auto-scaling configuration where the database will automatically start up, shut down, and scale capacity up or down based on your application's needs. Using AWS DMS, you can now perform live migrations from any AWS DMS supported sources to Amazon Aurora Serverless (PostgreSQL-compatible edition) with minimal downtime. View the full article
  24. Amazon RDS Performance Insights supports SQL-level metrics on Amazon RDS for PostgreSQL so you can identify high-frequency, long-running, and stuck SQL queries in seconds. View the full article
  25. Latest release eases usability, enhances security, and boosts database compatibility BEDFORD, Mass., November 17, 2020 – EDB, a leading contributor to PostgreSQL, today announced the worldwide general availability of EDB 13, which includes the company’s flagship database management system (DBMS), EDB Postgres Advanced Server, and tools. This latest release builds on extensive enterprise capabilities to further ease database management, enhance security, […] The post EDB Drives Further Postgres Innovation with Release of EDB 13 appeared first on DevOps.com. View the full article
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