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Embracing Stateful Applications on Kubernetes with Crunchy Postgres for Kubernetes

In reviewing other operators in the market, we realized that none of them were as mature as Crunchy Data's. The functionality around backups and overall stability wasn't there. They were not really production-ready like Crunchy.

Nils Tolle, Head of Core Technology

Danfoss Climate Solutions

Why Operator?

Automate the management of complex, stateful applications like databases

The Operator pattern in Kubernetes is used to automate the management of complex, stateful applications like databases. By encapsulating operational knowledge as code, Operators simplify tasks such as deployment, scaling, backup, and recovery. Crunchy Postgres for Kubernetes brings this power to Postgres, enabling seamless management and orchestration of Postgres clusters within a Kubernetes environment. This automation reduces manual intervention and ensures best practices are consistently applied. As the first Postgres operator, and with the Postgres experience that the engineering teams at Crunchy Data have, you rest easy knowing that CPK "just works" and "does the right thing"

Why Stateful Apps on Kubernetes?

Unified Management and Scalability for Your Applications

Kubernetes excels at orchestrating containerized applications, traditionally stateless. However, many enterprise applications require state persistence.

While containers are inherently stateless, Kubernetes uses Persistent Volume Claims (PVCs) to manage state. PVCs are requests for storage resources that abstract the underlying storage technology, providing a persistent storage layer for containers. This abstraction allows containers to remain stateless while their data is stored persistently across restarts and rescheduling.

Unified Management

Manage both stateless and stateful applications with the same platform.

Scalability

Automatically scale stateful applications based on demand.

High Availability

Utilize Kubernetes' robust scheduling and failover capabilities to ensure application resilience.

PVCs: What Are They?

Persistent Volume Claims (PVCs) are a key component of Kubernetes' storage architecture. They enable stateful applications to request storage resources without needing to know the specifics of the underlying storage infrastructure. PVCs:

Abstract Storage

Allow developers to specify storage requirements (size, access modes) without worrying about the details of storage implementation.

Persist Storage

Ensure that data remains available across container restarts and pod rescheduling, crucial for stateful applications like databases.

Up and Running in 3 Commands

How Does Crunchy Postgres for Kubernetes Make All of This Easy?

Taking all of this technology and patterns and turning them into a robust deployment is a daunting task. There are a lot of moving parts and complexity

Crunchy Postgres for Kubernetes simplifies the deployment and management of PostgreSQL clusters on Kubernetes by following the operator pattern, and automating complex operational and deployment tasks. In fact, using our quick start, you can have a HA cluster up and running in minutes.

The Most Powerful Comination for Modern Database Management

By leveraging the Crunchy Data Postgres Operator, organizations can efficiently manage stateful PostgreSQL applications on Kubernetes. This powerful combination of Kubernetes Operators and persistent storage through PVCs provides a robust, scalable, and automated solution for modern database management.

Automated Deployments

Easily deploy highly available PostgreSQL clusters with minimal configuration.

Backup and Recovery

Integrated tools for automated backups and point-in-time recovery.

Security

Secure by default, with advanced security and availability tools at your fingertips

Scaling

Seamless scaling of PostgreSQL clusters to handle changing workloads.

Configuration Management

Manage configurations consistently across all cluster nodes, ensuring best practices are followed.

Monitoring and Alerts

Built-in monitoring and alerting capabilities to ensure cluster health and performance.

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