cloud foundry

Cloud Foundry Rolling Deployments

Version 7 of Cloud Foundry’s cf CLI is now generally available. This makes rolling deployments a first-class feature, and adds many more flexible workflows than the original cf push offered. These changes bring the Cloud Foundry user experience more in line with what users have come to expected from Kubernetes’ Deployments. Rolling deployments are now available - so why should you switch?

A History of cf push

Over the last 18 months, the Cloud Controller (the brains of Cloud Foundry) has been extended to support a new set of APIs - collectively known as V3. Combined with the new V7 of the cf CLI, more of the internals of the app deployment process are (optionally) exposed to users.

There are now three approaches:

  • simple cf push
  • blue/green deployments
  • new rolling deployments

Simple cf push

Historically, Cloud Foundry’s cf push command was intentionally atomic - all instances of an app were taken down, before new ones were added. This was to protect the users of apps whose developers were making breaking changes from inconsistent behaviour.

In this older model, there is only one logical app in the Cloud Controller database. When the new version of the code starts running, the identifier of the app hasn’t changed, so all previous settings are retained.

A simple cf push is shown at the top of the following graph, with a long period of error responses whilst the app is being replaced:

Blue/green deployments

Cloud Foundry has always offered the features for a zero-downtime deployment using a variant of the blue-green deployment strategy. Blue-green deployments allow for zero downtime by creating an entirely new application for the new code each time (the blue deployment) before switching traffic over from the old application (the green deployment).

Importantly this required a new app in the database of Cloud Foundry - so a new and unrelated app, with a different ID. Cloud Foundry had no way of knowing that it was a newer version of the same codebase. Events and logs relating to the old version would use the old app ID, and when the old app was deleted (because the new version was live) these data would also be lost.

Rolling deployments

Rolling deployments leverage the new V3 processes to allow an existing app to be updated without downtime. When an app is deployed with cf push --strategy rolling, Cloud Foundry replaces instances of the old process with instances of the new process one-by-one whilst routing traffic to all healthy instances. Not every customisation applied to an application can be specified in the manifest.yml, but by updating an application in-place, all existing history and configuration is persisted.

Benefits of Rolling Deployments

Service bindings

Cloud Foundry service brokers implement the Open Service Broker API which specifies that each service binding should use a unique set of credentials. When deploying with a legacy blue-green strategy, new service bindings and new credentials are generated every time. This can make it hard to track which applications are accessing a service and result in permissions errors during releases where new credentials are not authorised correctly. Rolling app deployments solve this by using the same service binding every time you deploy.

Network policies

Applications utilising container-to-container networking require network policies to allow traffic between apps. Network policies are associated with app GUIDs meaning new apps created during a legacy blue-green deployment will not be able to communicate with others. Rolling deployments solve this by updating the application in place, removing network interruptions during deploys.

Meaningful audit events

The cf events command can track changes to an application over time, providing useful insight into what was changed and when. Rolling deployments provide a persistent view of how an application has changed over time including deploys, changes and crashes.

Instance quotas

Cloud Foundry organisations and spaces are subject to quotas that limit the amount of computing power users can consume. Blue-green deployments require running twice as many instances of an application during deployment. Multiple apps being deployed at the same time can easily tip a user over their allowed quota resulting in failed deployments. Rolling deployments instead only add one more instance at a time, providing the same uninterrupted service, without exceeding any quotas.

Droplets and revisions

When an app is pushed to Cloud Foundry, it is built into an executable package known as a droplet during the staging process. V3 also introduces the concept of revisions which represent a snapshot of the code and configuration of an application. With rolling deployments, apps have a full history of droplets and revisions, allowing for fast and safe rollbacks to previous versions of an app.

Rolling restarts

Sometimes an app needs restarting or restaging - to pick up new configuration, fetch an updated service binding or to clear out a cache. Both commands can now be performed without downtime by adding --strategy rolling, following the same one-by-one replacement strategy as deployments.

Using Rolling Deployments

The good news is that it’s as simple as running cf push --strategy rolling, providing that you’re using v7 of the cf CLI and are targeting a Cloud Foundry running capi-release v0.168.0 or later.


Deejay’s notes

It’s great that this is now a first-class feature in Cloud Foundry. Given that Cloud Foundry prides itself on providing a great developer experience, it’s somewhat unfortunate that it’s taken months if not years to get here. Kubernetes’ Deployments have been providing a less-surprising default behaviour for a while now.

The Cloud Controller is particularly hard to refactor, and I hope to see its responsibilities diminish as cf-for-k8s progresses. The default behaviour of cf push and cf restart made sense ten years ago when Cloud Foundry was nascent, and 12 Factor applications were new to world. This is a timely and much-needed improvement if Cloud Foundry is going to uphold the principle of least astonishment.

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