With Kubernetes, you can allocate resources based on the needs of your data pipelines. This ensures that resources are not wasted, maintaining optimal performance and reducing costs. It also offers monitoring capabilities to track resource usage, providing insights that can help in optimizing your data pipelines.
Below we cover the general process of building a data netherlands whatsapp number data pipeline in Kubernetes. This is just a high-level overview – you will need some knowledge of Kubernetes and need to be proficient with data engineering processes.
Install Kubernetes and Set up Kubectl
The first step in building data pipelines with Kubernetes is to install Kubernetes and set up kubectl, which is a command-line interface for running commands against Kubernetes clusters.
You can install Kubernetes on different operating systems and environments, including Linux, macOS, Windows, and various cloud platforms. After installing Kubernetes, you will need to set up kubectl, which involves downloading the kubectl binary and configuring it to interact with your Kubernetes cluster.