1/27/2024 0 Comments Aws postgresql 12When an issue occurs, Amazon DevOps Guru for RDS is designed to immediately notify developers and DevOps engineers and provides diagnostic information, details on the extent of the problem, and intelligent remediation recommendations to help customers quickly resolve database-related performance bottlenecks and operational issues. resource over-utilization, and misbehavior of certain SQL queries). DevOps Guru for RDS expands the capabilities of DevOps Guru to detect, diagnose, and remediate a wide variety of database-related issues in Amazon RDS for PostgreSQL (e.g. DBAs can also allow-list “PostgreSQL hooks” required for more sophisticated extensions that modify the database’s internal behavior and typically require elevated privilege.Īmazon DevOps Guru for RDS is a new ML-powered capability for Amazon RDS for PostgreSQL (which includes Amazon Aurora) that is designed to automatically detect and diagnose database performance and operational issues, enabling you to resolve issues in minutes rather than days.Īmazon DevOps Guru for RDS is a feature of Amazon DevOps Guru, which is designed to detect operational and performance issues for all Amazon RDS engines and dozens of other resource types. Only users with sufficient privileges will be able to run and create using the “CREATE EXTENSION” command on a TLE extension. In addition to these safeguards, TLE is designed to provide DBAs in the rds_superuser role fine-grained, online control over who can install extensions and they can create a permissions model for running them. TLE is designed to limit the impact of an extension defect to a single database connection. However, these changes can only be made through the TLE API. The rds_superuser role can determine who is permitted to install specific extensions. TLE is designed to limit access to system resources. TLE for PostgreSQL offers multiple layers of protection to mitigate this risk. However, extensions might have software defects that can crash the database. PostgreSQL extensions are executed in the same process space for high performance. Using the awscli provides a good way to clarify the exact upgrades allowed.Q: What are the traditional risks of running extensions in PostgreSQL and how does TLE for PostgreSQL mitigate those risks? Q: Which database versions does Amazon RDS for PostgreSQL support Amazon RDS for PostgreSQL currently supports PostgreSQL 9.6, 10, 11, 12, 13, 14, and 15. In this case the table of source, target could be clearer to say something like "Versions from 9.7 and to 10.17 allow to 11.x". $ aws rds describe-db-engine-versions -engine aurora-postgresql -engine-version 10.16 -query 'DBEngineVersions.ValidUpgradeTarget.' -output textĪnnouncement blog posts tend to provide just high level detail and in order to understand gotcha's and workarounds its essential to read the documentation. Using the cli - we figure out that 10.16 is only upgradable to 11.x What happens if you have version 10.16? It is not in the list and you have to either assume that it is treated the same as version 10.7 OR 10.18 and assumptions are bad.įor example - upgrading to 10.16 to 13.3 fails withĮrror message = Cannot upgrade aurora-postgresql from 10.16 to 13.4 (Service: AmazonRDS Status Code: 400 Error Code: InvalidParameterCombination)įortunately there is a way to figure out which major versions are supported using the aws cli and this is in the same documentation linked above In my opinion that documentation is not very clear. Not so fast though! The devil is in the detail of the source and target version - see this from the linked documentation Upgrade from PostgreSQL 10.X to PostgreSQL 13.X Upgrade from PostgreSQL 9.6.X to PostgreSQL 12.X OR In that they mention that you could upgrade from Neither option was elegant and has many considerations (like time taken, outages required or even data integrity)ĪWS recently announced that Amazon Aurora supports Multi Major Version Upgrade to Aurora PostgreSQL 11 and higher. OR you resorted to dumping out the entire database and importing it back into a new database with the latest version. You had to upgrade one major version at a time. Aurora (AWS) postgreSQL 12.6 cluster 1 writer, 2 readers (db.r5. You then decided to take the opportunity to upgrade all the way to the latest version (version 13). Major version upgrades for Aurora PostgreSQL used to be painful if you were behind on versions.įor example - lets assume you were on Aurora PostgreSQL 9.6 and AWS notified users that they are no longer supporting this version.
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