# Kubernetes Roadmap Updated August 28, 2014 This document is intended to capture the set of features, docs, and patterns that we feel are required to call Kubernetes “feature complete” for a 1.0 release candidate.  This list does not emphasize the bug fixes and stabilization that will be required to take it all the way to production ready. This is a living document, and is certainly open for discussion. ## APIs 1. ~~Versioned APIs:  Manage APIs for master components and kubelets with explicit versions, version-specific conversion routines, and component-to-component version checking.~~ **Done** 2. Component-centric APIs:  Clarify which types belong in each component’s API and which ones are truly common. 1. Clarify the role of etcd in the cluster. 3. Idempotency: Whenever possible APIs must be idempotent. 4. Container restart policy: Policy for each pod or container stating whether and when it should be restarted upon termination. 5. Life cycle events/hooks and notifications: Notify containers about what is happening to them. 6. Re-think the network parts of the API: Find resolution on the the multiple issues around networking. 1. ~~Utility of HostPorts in ip-per-pod~~ **Done** 2. Services/Links/Portals/Ambassadors 7. Durable volumes: Provide a model for data that survives some kinds of outages. 8. Auth[nz] and ACLs: Have a plan for how the API and system will express: 1. Identity & authentication 2. Authorization & access control 3. Cluster subdivision, accounting, & isolation ## Factoring and pluggability 1. ~~Pluggable scheduling: Cleanly separate the scheduler from the apiserver.~~ **Done** 2. Pluggable naming and discovery: Call-outs or hooks to enable external naming systems. 3. Pluggable volumes: Allow new kinds of data sources as volumes. 4. Replication controller: Make replication controller a standalone entity in the master stack. 5. Pod templates: Proposal to make pod templates a first-class API object, rather than an artifact of replica controller ## Cluster features 1. ~~Minion death: Cleanly handle the loss of a minion.~~ **Done** 2. Configure DNS: Provide DNS service for k8s running pods, containers and services. Auto-populate it with the things we know. 3. Resource requirements and scheduling: Use knowledge of resources available and resources required to do better scheduling. 4. ~~True IP-per-pod: Get rid of last remnants of shared port spaces for pods.~~ **Done** 5. IP-per-service: Proposal to make services cleaner. 6. Basic deployment tools: This includes tools for higher-level deployments configs. 7. Standard mechanisms for deploying k8s on k8s with a clear strategy for reusing the infrastructure for self-host. ## Node features 1. Container termination reasons: Capture and report exit codes and other termination reasons. 2. Garbage collect old container images: Clean up old docker images that consume local disk. Maybe a TTL on images. 3. Container logs: Expose stdout/stderr from containers without users having to SSH into minions.  Needs a rotation policy to avoid disks getting filled. 4. Container performance information: Capture and report performance data for each container. 5. Host log management: Make sure we don't kill nodes with full disks. ## Global features 2. Input validation: Stop bad input as early as possible. 3. Error propagation: Report problems reliably and consistently. 4. Consistent patterns of usage of IDs and names throughout the system. 5. Binary release: Repeatable process to produce binaries for release. ## Patterns, policies, and specifications 1. Deprecation policy: Declare the project’s intentions with regards to expiring and removing features and interfaces. 2. Compatibility policy: Declare the project’s intentions with regards to saved state and live upgrades of components. 3. Naming/discovery: Demonstrate techniques for common patterns: 1. Master-elected services 2. DB replicas 3. Sharded services 4. Worker pools 4. Health-checking: Specification for how it works and best practices. 5. Logging: Demonstrate setting up log collection. 6. ~~Monitoring: Demonstrate setting up cluster monitoring.~~ **Done** 7. Rolling updates: Demo and best practices for live application upgrades. 1. Have a plan for how higher level deployment / update concepts should / should not fit into Kubernetes 8. Minion requirements: Document the requirements and integrations between kubelet and minion machine environments.