Klutch FAQs

Klutch is an open-source tool designed to automate the management of hundreds or thousands of data services within individual Kubernetes clusters. It uses Kubernetes APIs to manage the provisioning, scaling, and maintenance of data services.

Klutch simplifies data service management by providing a standardized interface that abstracts away the unique configuration requirements of different services, allowing developers to provision them consistently whether these data services are deployed on-premise, in the cloud, or in a hybrid environment.

Klutch is ideal for organizations using Kubernetes for infrastructure and looking to simplify data service management across diverse environments with hundreds or thousands of clusters, including public clouds, on-premise, and hybrid clouds. Klutch is for organizations that want to balance maintaining team autonomy with centralized data service management for more efficiency.

Klutch simplifies the process of exposing and managing cloud services on hundreds or even thousands of Kubernetes clusters. By leveraging Klutch, integrating cloud services becomes significantly easier compared to building integrations from scratch; it streamlines data service deployment and management efforts.

A data service refers to a software or platform component responsible for managing, storing, processing, or transporting data. These services typically underpin applications by providing the necessary infrastructure for handling data workflows. Examples of data services include:

• Databases and Data Warehouses: Structured and unstructured data storage systems, such as PostgreSQL®, MySQL®, MongoDB®, and MariaDB®, and centralized repositories for large-scale analytics, such as Snowflake® or Google BigQuery®.

• Message Brokers: Tools for managing messaging between different application components, such as RabbitMQ®, Kafka®, or ActiveMQ®.

• Search Engines: Services for indexing and querying data, such as Elasticsearch®, OpenSearch®, or a9s Search.

• Caching Systems: In-memory data stores like Valkey®, a9s KeyValue, Redis®, or Memcached® for quick access to frequently used data.

• Analytics and Data Processing Tools: Services like a9s LogMe2, Apache Spark®, or Flink® that process and analyze large datasets.

In Kubernetes environments, these data services are provisioned, managed, and scaled across clusters to support modern, distributed applications.

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Yes, Klutch integrates with your existing Kubernetes setup.

Yes, Klutch is designed to work across a multitude of cloud providers.

Klutch leverages Crossplane® for integration automation and provides additional key features. The main function of Crossplane is to connect clusters to cloud providers, while the main function of Klutch is to provide full lifecycle management of data services, which includes features such as taking automatic backups and restoring any failed data services.

Klutch will collect metadata centrally, making it easier to monitor, report, and patch vulnerabilities across data service instances. Another way we'd like it to improve security in the future is making it easier to upgrade versions of the data services so that they're never out of date.

Yes, Klutch is designed for scalability, leveraging Kubernetes for progressive scaling.

Klutch can be deployed as part of a Kubernetes cluster, following the setup guide.

In the future, Klutch will work with standard Kubernetes monitoring tools and offer additional metadata collection for enhanced observability.

Yes, developers can declaratively provision and manage data services in a self-service way from the Kubernetes clusters running their applications.

As a developer, your primary responsibility is to create a proxy claim—Klutch handles everything else for you.