update readme with new failure policy details (#661)

README.md

@@ -19,9 +19,11 @@ Take a look at the [concepts](https://jobset.sigs.k8s.io/docs/concepts/) page fo
 
 - **Automatic headless service configuration and lifecycle management**: ML and HPC frameworks require a stable network endpoint for each worker in the distributed workload, and since pod IPs are dynamically assigned and can change between restarts, stable pod hostnames are required for distributed training on k8s, By default, JobSet uses [IndexedJobs](https://kubernetes.io/blog/2021/04/19/introducing-indexed-jobs/) to establish stable pod hostnames, and does automatic configuration and lifecycle management of the headless service to trigger DNS record creations and establish network connectivity via pod hostnames. These networking configurations are defaulted automatically to enable stable network endpoints and pod-to-pod communication via hostnames; however, they can be customized in the JobSet spec: see this [example](examples/simple/jobset-with-network.yaml) of using a custom subdomain your JobSet's network configuration.
 
-- **Configurable success policies**: JobSet has [configurable success policies](https://github.com/kubernetes-sigs/jobset/blob/v0.6.0/examples/simple/success-policy.yaml) which target specific ReplicatedJobs, with operators to target `Any` or `All` of their child jobs. For example, you can configure the JobSet to be marked complete if and only if all pods that are part of the “worker” ReplicatedJob are completed. This enables users to use their compute resources more efficiently, allowing a workload to be declared successful and release the resources for the next workload more quickly.
+- **Configurable failure policies**: JobSet has configurable failure policies which allow the user to specify a maximum number of times the JobSet should be restarted in the event of a failure. If any job is marked failed, the entire JobSet will be recreated, allowing the workload to resume from the last checkpoint. When no failure policy is specified, if any job fails, the JobSet simply fails. Using JobSet v0.6.0+, the [extended failure policy API](https://github.com/kubernetes-sigs/jobset/tree/main/keps/262-ConfigurableFailurePolicy) allows
+users to configure different behavior for different error types, enabling them to use compute resources more
+efficiently and improve ML training goodput.
 
-- **Configurable failure policies**: JobSet has [configurable failure policies](https://github.com/kubernetes-sigs/jobset/blob/v0.6.0/examples/simple/max-restarts.yaml) which allow the user to specify a maximum number of times the JobSet should be restarted in the event of a failure. If any job is marked failed, the entire JobSet will be recreated, allowing the workload to resume from the last checkpoint. When no failure policy is specified, if any job fails, the JobSet simply fails.
+- **Configurable success policies**: JobSet has [configurable success policies](https://github.com/kubernetes-sigs/jobset/blob/v0.6.0/examples/simple/success-policy.yaml) which target specific ReplicatedJobs, with operators to target `Any` or `All` of their child jobs. For example, you can configure the JobSet to be marked complete if and only if all pods that are part of the “worker” ReplicatedJob are completed. This enables users to use their compute resources more efficiently, allowing a workload to be declared successful and release the resources for the next workload more quickly.
 
 - **Exclusive Placement Per Topology Domain**: JobSet includes an [annotation](https://github.com/kubernetes-sigs/jobset/blob/1ae6c0c039c21d29083de38ae70d13c2c8ec613f/examples/simple/exclusive-placement.yaml#L6) which can be set by the user, specifying that there should be a 1:1 mapping between child job and a particular topology domain, such as a datacenter rack or zone. This means that all the pods belonging to a child job will be colocated in the same topology domain, while pods from other jobs will not be allowed to run within this domain. This gives the child job exclusive access to computer resources in this domain. You can run this [example](https://github.com/kubernetes-sigs/jobset/blob/v0.6.0/examples/simple/exclusive-placement.yaml) yourself to see how exclusive placement works.