How does StackGres compare to Crunchy Data's Postgres Operator?

StackGres offers a more opinionated, full-stack approach with integrated components like monitoring and logging out-of-the-box, whereas Crunchy Data's operator provides more modularity and customization options. StackGres is better for teams wanting a pre-assembled solution, while Crunchy Data suits those needing finer control.

How to set up automated backups in StackGres?

StackGres includes built-in backup automation through its CRDs; you define backup configurations in Kubernetes manifests, and it handles scheduling, storage, and lifecycle management seamlessly. Refer to the documentation for specific YAML examples and cloud storage integrations.

Is StackGres free for commercial use?

StackGres is open-source under AGPLv3, which allows commercial use but with copyleft requirements. For companies wanting a 'GPL-free' license, a commercial license must be purchased, as mentioned in the FAQ.

Can I run StackGres on Amazon EKS or Google GKE?

Yes, StackGres is designed to run on any Kubernetes-certified platform, including managed services like EKS and GKE. The installation process is standardized, with one-line commands provided in the documentation.

How to monitor query performance with StackGres?

StackGres enhances observability via Envoy Proxy's Postgres filter, which provides detailed query metrics. Combined with the integrated Prometheus and Grafana dashboards, you can monitor performance in real-time without additional setup.

What happens if Patroni fails in StackGres?

StackGres relies on Patroni for HA, and failures are managed within Kubernetes; if Patroni encounters issues, the operator can trigger failover using K8s APIs. However, this introduces a single point of failure, so monitoring and regular testing are recommended.

Open-Awesome

StackGres Operator

AGPL-3.0Java

A full-stack PostgreSQL distribution for Kubernetes, providing an enterprise-grade Postgres stack with HA, backups, monitoring, and more.

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1.4k stars71 forks0 contributors

What is StackGres Operator?

StackGres is a full-stack PostgreSQL distribution designed specifically for Kubernetes. It packages PostgreSQL with a curated set of essential ecosystem components—like connection pooling, automatic failover, monitoring, backups, and centralized logging—into a single, opinionated deployment unit to deliver an enterprise-grade database stack.

Target Audience

Kubernetes administrators and DevOps engineers who need to deploy and manage production-ready, highly available PostgreSQL clusters on Kubernetes without manually integrating and tuning numerous separate components.

Value Proposition

Developers choose StackGres because it provides a pre-integrated, production-tuned PostgreSQL stack that simplifies deployment on Kubernetes while maintaining full administrative control and enterprise reliability, eliminating the complexity of assembling and configuring individual ecosystem tools.

Overview

StackGres Operator, Full Stack PostgreSQL on Kubernetes // !! Mirror repository of https://gitlab.com/ongresinc/stackgres, only accept Merge Requests there.

Use Cases

Best For

Deploying highly available PostgreSQL clusters on Kubernetes with automated failover via Patroni.
Teams needing an integrated PostgreSQL stack with built-in monitoring (Prometheus/Grafana) and centralized logging.
Implementing GitOps workflows for PostgreSQL management using high-level Kubernetes Custom Resource Definitions (CRDs).
Ensuring enterprise-grade PostgreSQL performance with expert-level tuning and secure, lightweight container images based on Red Hat UBI.
Simplifying backup automation and lifecycle management for PostgreSQL data on Kubernetes.
Organizations requiring a fully-featured web console for managing PostgreSQL clusters without sacrificing low-level access.

Not Ideal For

Projects not deployed on Kubernetes, as StackGres is specifically designed for Kubernetes environments and won't function outside them.
Teams that require fine-grained control over individual PostgreSQL ecosystem components, since StackGres uses an opinionated, curated stack that limits customization.
Organizations needing long-term support for PostgreSQL versions older than the last two major releases, as StackGres only supports recent versions.
Companies with strict licensing policies that avoid AGPLv3, unless they purchase a commercial license.

Pros & Cons

Pros

Automated High Availability

Integrates Patroni for reliable automatic failover without requiring external distributed storage, leveraging Kubernetes APIs for simplicity and resilience.

Built-in Monitoring Stack

Automatically sets up Prometheus integration and provides customized Grafana dashboards for observability, reducing manual configuration overhead.

GitOps-Ready Management

Uses high-level Custom Resource Definitions (CRDs) that seamlessly integrate with GitOps workflows, enabling infrastructure-as-code deployments.

Expert Performance Tuning

Comes pre-configured with expert-level PostgreSQL tuning, optimizing performance out-of-the-box for production workloads.

Cons

Restricted PostgreSQL Version Support

Only supports the last two major PostgreSQL versions, which can be a limitation for legacy applications or organizations with upgrade constraints.

Opinionated Component Lock-in

The curated selection of ecosystem components limits flexibility, making it difficult to swap out or customize tools like connection pooling or logging without workarounds.

AGPLv3 Licensing Hurdles

Licensed under AGPLv3, which may require purchasing a commercial license for enterprises avoiding copyleft obligations, adding cost and complexity.

Frequently Asked Questions

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