## Stateful services (databases etc.) - As a first step, it is wiser to keep stateful services *outside* of the cluster - Exposing them to pods can be done with multiple solutions: - `ExternalName` services
(`redis.blue.svc.cluster.local` will be a `CNAME` record) - `ClusterIP` services with explicit `Endpoints`
(instead of letting Kubernetes generate the endpoints from a selector) - Ambassador services
(application-level proxies that can provide credentials injection and more) --- ## Stateful services (second take) - If you really want to host stateful services on Kubernetes, you can look into: - volumes (to carry persistent data) - storage plugins - persistent volume claims (to ask for specific volume characteristics) - stateful sets (pods that are *not* ephemeral) --- ## HTTP traffic handling - *Services* are layer 4 constructs - HTTP is a layer 7 protocol - It is handled by *ingresses* (a different resource kind) - *Ingresses* allow: - virtual host routing - session stickiness - URI mapping - and much more! - Check out e.g. [Træfik](https://docs.traefik.io/user-guide/kubernetes/) --- ## Logging and metrics - Logging is delegated to the container engine - Metrics are typically handled with [Prometheus](https://prometheus.io/) ([Heapster](https://github.com/kubernetes/heapster) is a popular add-on) --- ## Managing the configuration of our applications - Two constructs are particularly useful: secrets and config maps - They allow to expose arbitrary information to our containers - **Avoid** storing configuration in container images (There are some exceptions to that rule, but it's generally a Bad Idea) - **Never** store sensitive information in container images (It's the container equivalent of the password on a post-it note on your screen) --- ## Managing stack deployments - The best deployment tool will vary, depending on: - the size and complexity of your stack(s) - how often you change it (i.e. add/remove components) - the size and skills of your team - A few examples: - shell scripts invoking `kubectl` - YAML resources descriptions committed to a repo - [Helm](https://github.com/kubernetes/helm) (~package manager) - [Spinnaker](https://www.spinnaker.io/) (Netflix' CD platform) - [Brigade](https://brigade.sh/) (event-driven scripting; no YAML) --- ## Cluster federation -- ![Star Trek Federation](images/startrek-federation.jpg) -- Sorry Star Trek fans, this is not the federation you're looking for! -- (If I add "Your cluster is in another federation" I might get a 3rd fandom wincing!) --- ## Cluster federation - Kubernetes master operation relies on etcd - etcd uses the [Raft](https://raft.github.io/) protocol - Raft recommends low latency between nodes - What if our cluster spreads to multiple regions? -- - Break it down in local clusters - Regroup them in a *cluster federation* - Synchronize resources across clusters - Discover resources across clusters