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LaunchDarkly

Feature Management

Feature Management

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IBM GOES FROM DEPLOYING TWICE A WEEK TO 100+ TIMES A DAY.




BEFORE

 * Deployed twice a week
 * Took four hours to deploy


AFTER

 * Deploy 100+ times per day
 * Takes one minute to deploy




ABOUT IBM CLOUD™ KUBERNETES SERVICE

IBM Cloud™ Kubernetes Service is a managed container service for the rapid
delivery of applications that can bind to advanced services like IBM Watson® and
blockchain. As a certified K8s provider, IBM Cloud Kubernetes Service provides
intelligent scheduling, self-healing, horizontal scaling, service discovery and
load balancing, automated rollouts and rollbacks, and secret and configuration
management. The Kubernetes service also has advanced capabilities around
simplified cluster management, container security and isolation policies, the
ability to design your own cluster, and integrated operational tools for
consistency in deployment.


CHALLENGE

IBM Kubernetes Service team had a deployment process that was lengthy and
cumbersome. On Tuesdays the team spent three to four hours running a series of
complex Jenkins jobs that would build different microservices and components,
and then deploy them to various clusters.

Unfortunately, treating deployments as one big monolithic block of code was not
scalable for them, sometimes they would have hundreds or even thousands of
changes going into a single deployment. In place of a feature flag service, they
would hard code an environment variable into the deployments. In order to make
changes to that, they would have to go to the system, update the environment
variable, and restart the applications. This was a lengthy and complicated
process they sought to replace.

In updating their stack and systems they wanted to focus on three important
initiatives: improving visibility, decentralizing and decoupling services, and
simplifying processes.


SOLUTION

IBM chose LaunchDarkly's feature management platform to address two use cases.
One is the familiar feature-based delivery, launching features for progressively
larger audiences as your confidence increases.

The second is rather unique and specific to their requirements to simplify
processes. They have created what is essentially a light-weight service mesh for
deployment by using feature flags to manage deployments. They feature flag each
component in an environment, and since they've begun using feature flags to
control deployments, the team now thinks of every single micro-service as its
own independent entity. Now they roll out and deploy these all separately, no
longer having to deal with the monolith.


RESULTS

IBM needed to have a deployment schedule that matched the pace of the
fast-growing Kubernetes community. Prior to implementing LaunchDarkly it took
three to six months to deliver features added to the new versions of Kubernetes.
Now, they are able to deliver those features to IBM Kubernetes cloud users
before they are even finalized in the latests stable build from the Kubernetes
project. By feature flagging new functionality, they're delivering within weeks,
rather than months or quarters.

Now IBM can roll out updates to one, sixty, or a thousand Kubernetes clusters in
sixty seconds. Before LaunchDarkly, their release process was tied to their
deployment process. Now leveraging LaunchDarkly’s feature management platform
they are able to decouple these two actions. Increasing their release velocity
from a few deployments a month, to hundreds a day. And because the code is
controlled by feature flags they have less risk and more stability.

Besides delivering more, faster, the team has found immense value in using the
LaunchDarkly platform to test in production. Now, the team can allow internal
IBM teams or customers to safely try new features before fully releasing to the
public. And leadership has found that teams are operating more autonomously than
before–there has been an increased interest in the code they actually deploy
into production.


WE'VE BEEN ABLE TO ROLL OUT NEW FEATURES AT A PACE THAT WOULD'VE BEEN UNHEARD OF
A COUPLE OF YEARS AGO.

IBMMichael McKayPrincipal Software Engineer


Discover how to deploy code faster with less risk.

Get a demo


WE EMPOWER ALL TEAMS TO DELIVER AND CONTROL THEIR SOFTWARE.

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