You can easily deploy new databases and migrate your existing applications and tools. You get to use all of the familiar features of PostgreSQL, and leverage RDS management capabilities. Easy Managed DeploymentsĪmazon RDS for PostgreSQL lets you easily run your PostgreSQL database on Amazon RDS DB Instances. You can manage your RDS PostgreSQL instances using standard management utilities such as pgAdmin or psql. Amazon does not provide access to the physical hosts running the database instances (for example, using SSH). It provides automated backups, and lets you easily create database snapshots, with point in time restore. AWS RDS PostgreSQLĪmazon RDS lets you deploy fully managed PostgreSQL database instances. We’ll also cover Babelfish with Aurora, an innovative service that lets you migrate Microsoft SQL Server databases to PostgreSQL and save on license costs. Let’s explore the two main options for deploying PostgreSQL on AWS as a managed service - Amazon Relational Database Service (RDS), and Amazon Aurora. Managed PostgreSQL Options on AWS: RDS and Aurora PostgreSQL in AWS with NetApp Cloud Volumes ONTAP: The Best of Both Worlds.Pros and Cons of Managed Deployment-PostgreSQL on RDS.Pros and Cons of Self-Managed Deployment-PostgreSQL with EC2 and EBS.PostgreSQL on AWS: Fully Managed or Self Managed?.Managed PostgreSQL Options on AWS: RDS and Aurora.We’ll also present a second option-running PostgreSQL on an Amazon EC2 compute instance with EBS storage, to achieve the same level of control as in your local data center. In this post, we’ll review AWS managed PostgreSQL with RDS and Aurora. The most recent major release is PostgreSQL 12.Īmazon Web Services (AWS) provides PostgreSQL as a fully managed AWS database service, using Amazon Relational Database Service (RDS) and Amazon Aurora, an Amazon-developed database engine which is fully compatible with PostgreSQL. PostgreSQL is used as a primary data repository for many web, mobile, geospatial, and analytics applications. PostgreSQL is highly reliable and is known for its integrity and accuracy, having been developed over 20 years by a large open-source community. As long as your application is connected to the new database version, there shouldn't be any problems.PostgreSQL is a high-performance, enterprise-class open-source relational database that supports both SQL (relational) and JSON (non-relational) queries. If you try to change this parameter you will get a DBGroup error. Note that the DBEngineVersion parameter in the QuickStart template will continue to be set to version 9.6. For full details of how to upgrade, see Upgrading Jira Data Center on AWS. If your current Jira version does not support PostgreSQL, you will need to upgrade Jira to a version that supports PostgreSQL once the RDS upgrade is complete (before scaling your cluster up to 1 node). Scale your cluster up to 1 node first, check everything is working with no issues, then you can scale your cluster back up to the ideal number.Important note: don't change the DBEngineVersion parameter in the template, as this will result in a DBGroup error. Follow the steps above to manually upgrade the Postgres RDS instance from 9.6 to 10.Prepare for and check that a major version upgrade is supported Scale your instance down to zero nodes.If your current Jira version supports PostgreSQL 10: Analyze collects statistics about the contents of tables in the database, which the query planner can use to help determine the most efficient execution plans for queries.Īdditional steps if you use our QuickStart templates Īfter upgrading, we recommend you run ANALYZE. Ĭlick Modify DB Instance to save your changes.įor more information, see Manually Upgrading the Engine Version. For more information, see Using the Apply Immediately Setting. This option can cause an outage in some cases. If you prefer to apply the changes immediately, choose Apply immediately. By default, the database engine version upgrade will be queued and applied on the next scheduled maintenance window.
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