High Availability and Auto Failover, Connection Pooling and Load Balancing, Authentication-Based Security, Server Logging and Analysis, Services Monitoring,
With Automatic Failover and High Availability
- leveraging Patroni for automatic failover
- Using etcd to enable distributed consensus
- Using Watchdog/softdog to prevent split-brain
- Installing Patroni and the Python libraries it requires
- establishing a Patroni setup file
- launching Patroni with systemd as a service
- creating a primary PostgreSQL database with Patroni
- A Patroni cluster with a standby added
- switching over manually with Patroni
Load balancing and Connection Pooling
- pgBouncer installation on a Linux server
- making a configuration file for pgBouncer
- setting up the pgBouncer’s pool settings
- The pgBouncer service is started and stopped.
- HAProxy installation on Linux systems
- Finding a main or a standby using xinetd
- making a configuration file for HAProxy
- launching and shutting down the HAProxy service
- utilising Patroni, pgBouncer, and HAProxy to create a reliable HA cluster
Protecting Using Authentication
- Using pg hba.conf to secure client connections
- File categories in pg hba.conf
- Use of roles and privileges for authorization
- row-level security setup
- setting up SSL for data over the wire encryption
- utilising SSL to enable certificate authentication
- PostgreSQL auditing via logging PostgreSQL auditing via pgaudit
- using pgaudit to set up object-level auditing
Analysis and Logging of PostgreSQL Servers
- Setting up PostgreSQL’s slow query logging
- Using auto explain, PostgreSQL logs runtime execution plans
- global scale
- Continuum level
- Locks, waits, and temperature logging in PostgreSQL
- PostgreSQL activity analysis and autovacuum logging
- creating a report in pgBadger
- pg stat statements configuration as an extension
- analysing queries using pg stat statements
- Using pg stat kcache, one can obtain a query’s kernel-level statistics.
Monitoring PostgreSQL Services
- installing Grafana and all necessary dependencies
- As a data source on the monitoring server, Prometheus
- Setting up Node Exporter to track operating system metrics on Postgres servers
- Prometheus may now save metrics that are being gathered with node exporter.
- Utilizing postgres exporter to gather PostgreSQL stats
- Prometheus’s addition of metrics revealed by postgres exporter
- Building a dashboard to track stats for Linux
- How to import a dashboard to track metrics from Postgres
- Postgres exporter custom queries should be added
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