What problem does it solve? Configuring Vector log pipelines on Kubernetes requires manually managing DaemonSets, Deployments, and complex Vector configuration files. This Skill provides the knowledge to declaratively manage Vector agents, aggregators, and pipelines through the kaasops Vector operator CRDs, with automatic routing of pipeline configs to the right component. ## Core Features & Use Cases - CRD Management: Create and configure Vector (DaemonSet agent), VectorAggregator (Deployment), VectorPipeline, ClusterVectorPipeline, and ClusterVectorAggregator resources under the observability.kaasops.io/v1alpha1 API. - Auto-Routing Logic: Understand how pipelines with kubernetes_logs or file sources route to agents while network sources (kafka, socket, http_server) route to aggregators. - Use Case: Deploy a production log pipeline that collects Kubernetes pod logs from namespaces labeled environment=production, enriches them with VRL remap transforms, and ships them to Elasticsearch with credentials stored in Secrets. ## Quick Start Ask the agent to create a VectorPipeline that collects kubernetes_logs and ships them to Elasticsearch, along with the matching Vector agent DaemonSet CR.
