Many enterprises rely on self-hosted data pipelines to effectively and securely move data from various sources into their cloud data warehouses and lakes. However, doing this at scale for existing use cases can be tough, let alone planning for future needs. The more data sources an organization utilizes, the more complicated and burdensome it becomes to set up, maintain, and update pipelines as changes are made. Containers offer a lightweight, portable, and reproducible way to implement and scale data pipelines, allowing teams to manage environment dependencies, configurations, and runtimes, simplify deployment by replicating data pipeline stacks, and scale computing resources by isolating environments on their machines. Kubernetes simplifies the management of complex data pipeline workflows, optimizes compute usage, and enhances fault tolerance, making it easier to scale data pipelines effectively as data volumes grow. Fivetran's Hybrid Deployment can now be implemented using Kubernetes, allowing organizations to run chosen data pipelines in their own environment or VPC from a secure and easy-to-use UI, ensuring sensitive data remains under control. With Kubernetes support, users can automate the management and scaling of connector syncs, keep sensitive data secure, use Fivetran's robust security features, and move data from hundreds of sources to desired destinations.