StackGres is a full-stack PostgreSQL distribution for Kubernetes, packed into an easy deployment unit. With a carefully selected and tuned set of surrounding PostgreSQL components, StackGres provides you with an enterprise-grade PostgreSQL stack that not only includes PostgreSQL but also features essential components required for production deployment.
An Analogy: StackGres as a Party Planner
Imagine you are hosting a grand party. Your guests expect not just good food (PostgreSQL) but also a well-decorated venue, music, seating arrangements, and a well-organized schedule to have a great experience. StackGres acts like a party planner who takes care of all these details; handling everything from the menu (database function), to seating arrangements (connection pooling), to ensuring the party goes on smoothly even if something goes wrong (automatic failover and HA).
Getting Started
To get started with StackGres, it’s crucial to follow the official resources:
- Check the documentation
- Explore the Demo Quickstart section
- Visit our website to obtain the one-line command for installation
Features
StackGres is loaded with features designed to give you exceptional control over your database:
- Automated failover and High Availability with Patroni
- Full control as the Postgres user
- Automated backups and lifecycle management
- Fully-featured management Web Console
- Automatic Prometheus integration with customized Grafana dashboards
- Distributed logs for Postgres and Patroni
- High-level management CRDs – GitOps ready
- Integrated server-side connection pooling
- Enhanced observability via Envoy Proxy’s Postgres filter
- Expertly tuned by default
- Lightweight, secure container images based on Red Hat’s UBI 8
Troubleshooting Ideas
If you find yourself facing issues with StackGres, here are some tips to troubleshoot effectively:
- Ensure that your Kubernetes environment is correctly set up and compatible with StackGres.
- Check that all desired features are correctly configured in your deployment YAML files.
- Look at the logs for any error messages that might indicate what component is failing.
- Visit our documentation for additional troubleshooting tips.
- For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Conclusion
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.
About the Operator
This repository holds one of the significant components surrounding StackGres and is built around Kubernetes. An Operator is a method of packaging, deploying, and managing a Kubernetes application. Specifically for databases like PostgreSQL, an operator offers the necessary support for maintaining state and integrating all components.
Frequently Asked Questions
Here are some frequently asked questions:
- Is StackGres a modified version of Postgres? No, it combines PostgreSQL with essential ecosystem components needed for production.
- What licenses are available? StackGres is licensed under the GNU Affero General Public License version 3 (AGPLv3).
- Which PostgreSQL versions are supported? As of now, StackGres supports PostgreSQL major versions 12 and 13.
- Where can it run? StackGres is designed to run on any Kubernetes-certified platform, either cloud-based or on-premise.
- How is High Availability implemented? It uses Patroni for automatic failover and high availability using Kubernetes APIs.