ConfigGenerator

PostgreSQL Config Generator

Generate production-oriented postgresql.conf and pg_hba.conf files with security hardening, performance tuning, and robust replication settings.

Output:A ready-to-use configuration file for PostgreSQL Config with best practices applied.

PostgreSQL Version

Connection Settings

Use '*' for all interfaces (requires strict pg_hba.conf), or specific IPs like '10.0.0.5'.

Too many connections exhaust RAM. Above 500, use PgBouncer.

Memory Settings

Typically 25% of total system RAM (e.g., 2GB, 8GB).

Typically 50-75% of total RAM. Helps the query planner.

Memory used per sort operation. Don't set too high if max_connections is large.

WAL & Checkpoints

Soft limit for WAL size. If you write heavily, increase to 4GB-16GB.

Autovacuum

Logging & Telemetry

Log queries taking longer than X ms. Set to 1000 for 1 second. -1 disables.

e.g., 'pg_stat_statements, auto_explain'

Security & SSL

Client Authentication (pg_hba.conf)

Leave blank for 'local' type

Leave blank for 'local' type

Leave blank for 'local' type

Leave blank for 'local' type

postgresql.confNot Generated
Not generated yet

Quick Summary

Use a PostgreSQL Config Generator when you need postgresql.conf, pg_hba.conf, or ConfigMap templates with safe defaults, connection settings, memory tuning, logging, and authentication notes.

What is this tool?

PostgreSQL uses two main configuration files: postgresql.conf for core server settings and pg_hba.conf for client authentication.

PostgreSQL Configuration Parameters

  • listen_addresses: Which IPs the server accepts connections on. Use '*' to listen on all interfaces, but secure it with pg_hba.conf and firewalls.
  • port: The default TCP port is 5432.
  • max_connections: The maximum number of concurrent client connections. Keep this relatively low (e.g., 100) and use a connection pooler like PgBouncer for high concurrency.
  • shared_buffers: How much memory PostgreSQL uses for caching data. Usually set to 25% of total machine RAM.
  • effective_cache_size: Tells the query planner how much memory is available for caching by the OS and PostgreSQL combined (often set to 75% of RAM).
  • work_mem: Memory used for complex sort operations before writing to temporary disk files.
  • maintenance_work_mem: Memory used for VACUUM, CREATE INDEX, and ALTER TABLE operations.
  • wal_level: Controls how much information is written to the Write-Ahead Log. Set to replica or logical depending on your replication needs.

How to Use This Tool

PostgreSQL Version Notes

PostgreSQL 16 and above provide advanced parallel query processing and use scram-sha-256 as the default password encryption. Ensure your client drivers are updated to support SCRAM authentication. For older versions like PostgreSQL 9.6 (End of Life), note that many modern replication parameters may not be supported.

Platform Specific Configurations

  • Linux / Ubuntu: Typically located in /etc/postgresql/<version>/main/.
  • Windows: Located in the PostgreSQL installation directory, usually C:\\Program Files\\PostgreSQL\\<version>\\data\\.
  • Kubernetes ConfigMap: Wrap the configuration inside a ConfigMap and mount it. Many Helm charts allow passing these directly as extraEnv or custom postgresql.conf strings.

What This Tool Generates

  • postgresql.conf for database tuning
  • pg_hba.conf for authentication rules
  • Kubernetes ConfigMap snippet
  • Docker Compose snippet for local development
  • README setup notes

Example Output Explanation

# postgresql.conf snippet
listen_addresses = '*'
port = 5432
max_connections = 100
shared_buffers = 2GB
effective_cache_size = 6GB
work_mem = 20MB

# pg_hba.conf snippet
# TYPE  DATABASE        USER            ADDRESS                 METHOD
host    all             all             127.0.0.1/32            scram-sha-256
host    all             all             10.0.0.0/8              scram-sha-256

Security Notes

  • Do not allow public access without a firewall. Never expose port 5432 to the open internet. Use VPC security groups or IP whitelists.
  • Avoid trust authentication in production. Using trust in pg_hba.conf means anyone who can connect to the port can log in without a password. Always use scram-sha-256.
  • Use TLS for remote connections. Enforce SSL connections if traffic leaves your private network by configuring ssl = on and providing certificate paths.
  • Do not store passwords in config files. PostgreSQL configuration files should not contain plaintext passwords.

Frequently Asked Questions

What is a PostgreSQL Config Generator?
A PostgreSQL config generator is an online tool that produces secure and optimized postgresql.conf and pg_hba.conf files, tuned for your hardware (RAM/CPU) and specific workloads like OLTP or Data Warehousing.
How do I create postgresql.conf?
Select your database requirements and hardware specs in the generator above. It will output a postgresql.conf file that you can download or copy directly to your server, usually replacing the default file located in /etc/postgresql/.
Where is postgresql.conf on Ubuntu?
On Ubuntu, the PostgreSQL configuration file is typically located at /etc/postgresql/<version>/main/postgresql.conf. For example: /etc/postgresql/16/main/postgresql.conf.
What is pg_hba.conf?
pg_hba.conf stands for PostgreSQL Host-Based Authentication. While postgresql.conf configures server behavior, pg_hba.conf strictly controls which hosts (IPs) can connect, which users they can connect as, and which authentication method (like md5 or scram-sha-256) is required.
How do I view PostgreSQL configuration?
You can view your active configuration by connecting to PostgreSQL via psql and running 'SHOW ALL;', or to view a specific setting, run 'SHOW shared_buffers;'.
How do I change PostgreSQL parameters?
You can edit the postgresql.conf file and reload the service (e.g., systemctl reload postgresql). Alternatively, you can use the SQL command 'ALTER SYSTEM SET parameter = value;' which writes to postgresql.auto.conf and requires a configuration reload.
What are PostgreSQL 16 config options?
PostgreSQL 16 introduced better defaults for logical replication, enhanced I/O stats, and optimizations for parallel queries. Modern configs should leverage scram-sha-256 for passwords instead of md5.
Can I generate PostgreSQL ConfigMap?
Yes, the generated configurations can be nested inside a Kubernetes ConfigMap and mounted as volumes to /var/lib/postgresql/data/ or /etc/postgresql/ depending on your container image.

How We Keep Your Configs Safe & Valid

Built-in Error Checking

Every file is checked against official rules. We catch missing fields and bad syntax. YAML indentation errors are flagged right away. Kubernetes, Terraform, and Docker specs are all covered. API versions and labels are verified too. You get valid output every time you generate.

100% Private & Local

All tools run in your browser only. Your API keys never leave your machine. We do not use any tracking scripts. No data is sent to any server. Passwords and secrets stay on your device. Crypto operations use the Web Crypto API. Your privacy is fully protected at all times.

Secure Settings by Default

Configs use safe defaults out of the box. Containers run as non-root users. Root filesystems are set to read-only. Dangerous Linux capabilities are dropped. Network policies limit pod-to-pod traffic. TLS 1.3 is enabled for web servers. Security headers are added where needed.

Ready for CI/CD & Git

Output files are ready for your Git repo. Use them with ArgoCD, Flux, or GitHub Actions. Files use clear formatting and comments. Code review is easy for your team. Indentation and key order are consistent. Test in staging before going to production. Every file is clean and well-structured.

Infrastructure as Code

Store configs in Git alongside your code. Terraform modules include typed variables. Backend configs support remote state locking. Outputs work across multiple modules. Ansible playbooks use clear task steps. Chef and Puppet configs are also supported. Every file works with version control tools.

Monitoring & Tracing

Set up Prometheus with auto-discovery rules. Create Grafana dashboards with template variables. Add alerting rules with severity labels. Use OpenTelemetry for trace collection. Forward logs to Loki or Elasticsearch. Connect to Jaeger or Tempo for tracing. Monitor metrics, logs, and traces together.

Container & Docker Safety

Dockerfiles use multi-stage builds for small images. Base images are pinned to exact versions. Dev files are excluded from final images. Health checks are added for orchestrator use. Containers switch to non-root users. Docker Compose uses named volumes and networks. Resource limits are set in deploy configs.

Multiple Output Formats

Export as YAML, JSON, HCL, or TOML. Kubernetes uses YAML with proper separators. Terraform uses HCL with correct escaping. JSON output has consistent indentation. Copy to clipboard with one click. Preview output with syntax highlighting. Line numbers help you review quickly.