Headlamp

Cluster API (CAPI) provides declarative APIs and tooling to provision, upgrade, and operate Kubernetes clusters. This project continues an existing Headlamp plugin to deliver first-class UI support for CAPI resources (Clusters, Machines, MachineDeployments, KubeadmControlPlanes). The plugin will let operators discover, inspect, and manage cluster lifecycle objects in Headlamp, visualizing hierarchical relationships and closing gaps in the plugin. Expected Outcome: - Sidebar and Map: List key CAPI CRs in the sidebar and Map view; show Clusters with Machines, MachineSets/Deployments, and control planes. - Resource details: Dedicated pages with CAPI-specific fields (conditions, infra refs, provider info, control plane refs, node pools, cluster membership, provider status). - UI integration: Map visualization, sidebar icons, on-hover "Glance" tooltips. - Robustness and tests: Fix runtime errors, human-friendly fields (e.g., "2d5h"), add automated tests. - Polish and delivery: Refined tables, icons, clickable "Controlled by" links; packaged in Headlamp’s plugin repo with install and developer docs; Kubernetes Blog post showcasing benefits.

Knative enables serverless on Kubernetes (scale-to-zero, traffic splitting). This project finishes and polishes a Headlamp plugin so operators can **view, inspect, and manage Knative Services, Revisions, Configurations, and Routes** from Headlamp, complementing the `kn` CLI. Builds on an existing plugin. Expected Outcome: - Fully functional Knative plugin: in the Headlamp repo with a "Knative" sidebar. List KServices across namespaces with key columns (name, URL, traffic %, latest revision status) matching existing tools. - Service detail pages: showing URL, traffic split, concurrency/scaling, conditions; UI actions to adjust traffic, edit config/env/concurrency, and trigger redeploys via forms/modals with feedback and RBAC checks. - Related resources: list/link Revisions, Configurations, HTTPRoute/Knative Route; optional read-only revision/config views. - Headlamp-consistent UX: Map/metrics integration, bug fixes, basic tests, packaged metadata, ArtifactHub releases, README, and a kubernetes blog post with a short demo.

Strimzi is a Kubernetes Operator for running Apache Kafka. This project builds a Headlamp plugin that adds a **Strimzi** section to Headlamp, surfacing Strimzi CRDs so operators can **view and manage Kafka clusters, topics, users, and connectors** from the Headlamp UI. The plugin follows Headlamp UX patterns with list and detail views, links between related resources, and optional metrics embedding. - Expected Outcome: - Plugin exposes key Strimzi CRDs: Kafka, KafkaTopic, KafkaUser, KafkaConnect, and KafkaConnector. - List views, with summary columns (name, namespace, brokers, partitions, replication, status). - Detail pages, showing config, status conditions, sub-resources (broker pods, connectors), and basic actions (create/edit topic, regenerate user creds). - Relational navigation, cluster → topics/users; topic → cluster. - Consistent Headlamp UX, icons, tables, detail layouts, Map view enhancements. - Structured config display (collapsible sections/YAML toggle), humanized statuses, validated forms for mutating actions. - README with prerequisites and limitations; blog post demoing usage.

Headlamp is a Kubernetes UI that supports a growing ecosystem of plugins, including integrations with CNCF projects like Flux, KEDA, and Falco. As the number and complexity of these plugins grow, ensuring a consistent, intuitive, and user-friendly experience becomes increasingly important. This project will focus on conducting UX audits of existing Headlamp plugins, identifying usability issues, and proposing design improvements. It will also explore user personas (e.g., operators vs. developers) to inform design decisions and help shape the future of plugin UX in Headlamp. Expected Outcome: A design-led UX audit and improvement initiative that includes: 1. A review of selected Headlamp plugins to identify usability issues and inconsistencies 2. User research and persona development to better understand plugin audiences 3. Design proposals and mockups for improving plugin UIs and workflows 4. Collaboration with technical mentors to help implement selected improvements 5. Optional exploration of UX needs for recent Kubernetes features or under-designed areas in Headlamp

Headlamp is a Kubernetes UI which is extensible. KEDA is a Kubernetes-based Event Driven Autoscaler. With KEDA, one can drive the scaling of any container in Kubernetes based on the number of events needing to be processed. While KEDA provides excellent functionality for scaling workloads based on event sources and custom metrics, monitoring and managing KEDA resources through Kubernetes dashboards remains challenging. Expected Outcome: Create a Headlamp plugin that provides comprehensive visibility and management capabilities for KEDA resources, enabling users to do the following. 1. View and manage ScaledObjects and ScaledJobs through a intuitive interface. 2. Monitor real-time scaling metrics and trigger states. 3. Troubleshoot scaling behaviors with integrated logging and event visualization.