Overview
DBaaS for PostgreSQL is fully integrated into the Data Center Designer and API (2.0.0).
Compatibility: DBaaS gives you access to the capabilities of the PostgreSQL database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with DBaaS. IONOS CLOUD supports PostgreSQL versions 14, 15, 16, 17, and 18.
DBaaS services offered by IONOS CLOUD
All back-end operations required to maintain your database in optimal operational health is supported along with the follwoing actions:
Database installation through the DCD or the DBaaS API.
Pre-set database configuration and configuration management options.
Automation of backups for a period of 7 days.
Regular patches and upgrades during maintenance.
Disaster recovery through automated backup.
Service monitoring: both for the database and the underlying infrastructure.
Customer database administration duties
Tasks related to the optimal health of the database remain the responsibility of the customer. These include:
Optimisation
Data organisation
Creation of indexes
Updating statistics
Consultation of access plans to optimize queries
Logs: The database stores logs on the same disk as the database. It records connections, disconnections, lock waits, Data Definiton Language (DDL) statements, any statement that runs for at least 500 ms, and any statement that causes an error. It does not provide an option to change this configuration. For more information, refer to the PostgreSQL Documentation.
To conserve disk space, log files are rotated according to size. Logs should not consume more than 175 MB of disk storage. The files are continuously monitored, and log messages are shipped to a central storage location with a 30-day retention policy. For more information, see Access Logs.
Write-Ahead Logs: PostgreSQL uses Write Ahead Logs (WAL) for continuous archiving and point-in-time recovery. These logs are created in addition to the regular logs.
Every change to the database is recorded in the WAL record. WALs are generated along with daily base backups and offer a consistent snapshot of the database as it was at that time. WALs and backups are automatically deleted after 7 days, which is the earliest point in time you can recover from. For more information, refer to the PostgreSQL Documentation.
Password encryption: Client libraries must support SCRAM-SHA-256 authentication. Make sure to use an up-to-date client library.
Connection encryption: All client connections are encrypted using TLS; the default SSL mode is prefer and clients cannot disable it.
Server certificates are issued by Let's Encrypt and the root certificate is ISRG Root X1. This needs to be made available to the client for verify-ca and verify-full to function.
Certificates are issued for the DNS name of the cluster which is assigned automatically during creation and will look similar to pg-abc123.postgresql.de-txl.ionos.com. It is available through the IONOS CLOUD API as the dnsName property of the cluster resource.
Here is how to verify the certificate using the psql command line tool:
Which PostgreSQL versions are supported?
IONOS CLOUD supports PostgreSQL versions 14, 15, 16, 17, and 18, for example 16.4 and 17.2. PostgreSQL follows a yearly major release schedule, and each major version receives 5 years of support after its initial release. IONOS CLOUD DBaaS handles minor version upgrades automatically during maintenance windows. For example, a cluster running 16.4.1 is automatically upgraded to 16.4.2 when the next patch release becomes available. For more information, see Upgrade and Maintenance.
Where is PostgreSQL available?
DBaaS for PostgreSQL is offered in all IONOS CLOUD locations. You can use DBaaS instances running PostgreSQL in the IONOS CLOUD infrastructure. For more information about the regional API endpoints, see PostgreSQL API v2 Endpoints.
Performance considerations
Database instances are placed in the same location as your specified LAN, so network performance should be comparable to other machines in your LAN.
Estimates: A test with pgbench (scaling factor 1000, 20 connections, duration 300 seconds, not showing detailed logs) and a single small instance (2 cores, 4 GB RAM, 20 GB storage) resulted in around 830 transactions per second (read and write mixed) and 1100 transactions per second (read-only). For a larger instance (4 cores, 8 GB RAM, 600 GB storage) the results were around 3400 (read and write) and 19000 (read-only) transactions per second. The database was initialized using pgbench -i -s 1000 -h <ip> -U <username> <dbname>. For benchmarking the command line used was pgbench -c 20 -T 300 -h <ip> -U <username> <dbname> for the read/write tests, and pgbench -c 20 -T 300 -S -h <ip> -U <username> <dbname> for the read-only tests.
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