Merge pull request #31487 from Babapool/update-case-studies

Update some Case Studies mentioning Docker

Author: k8s-ci-robot

content/en/case-studies/peardeck/index.html

@@ -20,7 +20,7 @@ <h2>Challenge</h2>
 
 <h2>Solution</h2>
 
-<p>In 2016, the company began moving their code from Heroku to <a href="https://www.docker.com/">Docker</a> containers running on <a href="https://cloud.google.com/kubernetes-engine/">Google Kubernetes Engine</a>, orchestrated by <a href="http://kubernetes.io/">Kubernetes</a> and monitored with <a href="https://prometheus.io/">Prometheus</a>.</p>
+<p>In 2016, the company began moving their code from Heroku to containers running on <a href="https://cloud.google.com/kubernetes-engine/">Google Kubernetes Engine</a>, orchestrated by <a href="http://kubernetes.io/">Kubernetes</a> and monitored with <a href="https://prometheus.io/">Prometheus</a>.</p>
 
 <h2>Impact</h2>
 
@@ -42,7 +42,7 @@ <h2>Impact</h2>
 
 <p>On top of that, many of Pear Deck's customers are behind government firewalls and connect through Firebase, not Pear Deck's servers, making troubleshooting even more difficult.</p>
 
-<p>The team began looking around for another solution, and finally decided in early 2016 to start moving the app from Heroku to <a href="https://www.docker.com/">Docker</a> containers running on <a href="https://cloud.google.com/kubernetes-engine/">Google Kubernetes Engine</a>, orchestrated by <a href="http://kubernetes.io/">Kubernetes</a> and monitored with <a href="https://prometheus.io/">Prometheus</a>.</p>
+<p>The team began looking around for another solution, and finally decided in early 2016 to start moving the app from Heroku to containers running on <a href="https://cloud.google.com/kubernetes-engine/">Google Kubernetes Engine</a>, orchestrated by <a href="http://kubernetes.io/">Kubernetes</a> and monitored with <a href="https://prometheus.io/">Prometheus</a>.</p>
 
 {{< case-studies/quote image="/images/case-studies/peardeck/banner1.jpg" >}}
 "When it became clear that Google Kubernetes Engine was going to have a lot of support from Google and be a fully-managed Kubernetes platform, it seemed very obvious to us that was the way to go," says Eynon-Lynch.

content/en/case-studies/prowise/index.html

@@ -70,7 +70,7 @@ <h2>Impact</h2>
 
 <p>Recently, the team launched a new single sign-on solution for use in an internal application. "Due to the resource based architecture of the Kubernetes platform, we were able to bring that application into an entirely new production environment in less than a day, most of that time used for testing after applying the already well-known resource definitions from staging to the new environment," says van den Bosch. "On a traditional VM this would have likely cost a day or two, and then probably a few weeks to iron out the kinks in our provisioning scripts as we apply updates."</p>
 
-<p>Legacy applications are also being moved to Kubernetes. Not long ago, the team needed to set up a Java-based application for compiling and running a frontend. "On a traditional VM, it would have taken quite a bit of time to set it up and keep it up to date, not to mention maintenance for that setup down the line," says van den Bosch. Instead, it took less than half a day to Dockerize it and get it running on Kubernetes. "It was much easier, and we were able to save costs too because we didn't have to spin up new VMs specially for it."</p>
+<p>Legacy applications are also being moved to Kubernetes. Not long ago, the team needed to set up a Java-based application for compiling and running a frontend. "On a traditional VM, it would have taken quite a bit of time to set it up and keep it up to date, not to mention maintenance for that setup down the line," says van den Bosch. Instead, it took less than half a day to containerize it and get it running on Kubernetes. "It was much easier, and we were able to save costs too because we didn't have to spin up new VMs specially for it."</p>
 
 {{< case-studies/quote author="VICTOR VAN DEN BOSCH, SENIOR DEVOPS ENGINEER, PROWISE" >}}
 "We're really trying to deliver integrated solutions with our hardware and software and making it as easy as possible for users to use and collaborate from different places," says van den Bosch. And, says Haalstra, "We cannot do it without Kubernetes."

content/en/case-studies/squarespace/index.html

@@ -46,7 +46,7 @@ <h2>Impact</h2>
 After experimenting with another container orchestration platform and "breaking it in very painful ways," Lynch says, the team began experimenting with Kubernetes in mid-2016 and found that it "answered all the questions that we had."
 {{< /case-studies/quote >}}
 
-<p>Within a couple months, they had a stable cluster for their internal use, and began rolling out Kubernetes for production. They also added Zipkin and CNCF projects <a href="https://prometheus.io/">Prometheus</a> and <a href="https://www.fluentd.org/">fluentd</a> to their cloud native stack. "We switched to Kubernetes, a new world, and we revamped all our other tooling as well," says Lynch. "It allowed us to streamline our process, so we can now easily create an entire microservice project from templates, generate the code and deployment pipeline for that, generate the Docker file, and then immediately just ship a workable, deployable project to Kubernetes." Deployments across Dev/QA/Stage/Prod were also "simplified drastically," Lynch adds. "Now there is little configuration variation."</p>
+<p>Within a couple months, they had a stable cluster for their internal use, and began rolling out Kubernetes for production. They also added Zipkin and CNCF projects <a href="https://prometheus.io/">Prometheus</a> and <a href="https://www.fluentd.org/">fluentd</a> to their cloud native stack. "We switched to Kubernetes, a new world, and we revamped all our other tooling as well," says Lynch. "It allowed us to streamline our process, so we can now easily create an entire microservice project from templates, generate the code and deployment pipeline for that, generate the Dockerfile, and then immediately just ship a workable, deployable project to Kubernetes." Deployments across Dev/QA/Stage/Prod were also "simplified drastically," Lynch adds. "Now there is little configuration variation."</p>
 
 <p>And the whole process takes only five minutes, an almost 85% reduction in time compared to their VM deployment. "From end to end that probably took half an hour, and that's not accounting for the fact that an infrastructure engineer would be responsible for doing that, so there's some business delay in there as well."</p>
 

content/en/case-studies/wink/index.html

@@ -58,17 +58,17 @@ <h2>Impact</h2>
 
 <p>In addition, Wink had other requirements: horizontal scalability, the ability to encrypt everything quickly, connections that could be easily brought back up if something went wrong. "Looking at this whole structure we started, we decided to make a secure socket-based service," says Klein. "We've always used, I would say, some sort of clustering technology to deploy our services and so the decision we came to was, this thing is going to be containerized, running on Docker."</p>
 
-<p>At the time – just over two years ago – Docker wasn't yet widely used, but as Klein points out, "it was certainly understood by the people who were on the frontier of technology. We started looking at potential technologies that existed. One of the limiting factors was that we needed to deploy multi-port non-http/https services. It wasn't really appropriate for some of the early cluster technology. We liked the project a lot and we ended up using it on other stuff for a while, but initially it was too targeted toward http workloads."</p>
+<p>In 2015, Docker wasn't yet widely used, but as Klein points out, "it was certainly understood by the people who were on the frontier of technology. We started looking at potential technologies that existed. One of the limiting factors was that we needed to deploy multi-port non-http/https services. It wasn't really appropriate for some of the early cluster technology. We liked the project a lot and we ended up using it on other stuff for a while, but initially it was too targeted toward http workloads."</p>
 
-<p>Once Wink's backend engineering team decided on a Dockerized workload, they had to make decisions about the OS and the container orchestration platform. "Obviously you can't just start the containers and hope everything goes well," Klein says with a laugh. "You need to have a system that is helpful [in order] to manage where the workloads are being distributed out to. And when the container inevitably dies or something like that, to restart it, you have a load balancer. All sorts of housekeeping work is needed to have a robust infrastructure."</p>
+<p>Once Wink's backend engineering team decided on a containerized workload, they had to make decisions about the OS and the container orchestration platform. "Obviously you can't just start the containers and hope everything goes well," Klein says with a laugh. "You need to have a system that is helpful [in order] to manage where the workloads are being distributed out to. And when the container inevitably dies or something like that, to restart it, you have a load balancer. All sorts of housekeeping work is needed to have a robust infrastructure."</p>
 
 {{< case-studies/quote image="/images/case-studies/wink/banner4.jpg" >}}
 "Obviously you can't just start the containers and hope everything goes well," Klein says with a laugh. "You need to have a system that is helpful [in order] to manage where the workloads are being distributed out to. And when the container inevitably dies or something like that, to restart it, you have a load balancer. All sorts of housekeeping work is needed to have a robust infrastructure."
 {{< /case-studies/quote >}}
 
 <p>Wink considered building directly on a general purpose Linux distro like Ubuntu (which would have required installing tools to run a containerized workload) and cluster management systems like Mesos (which was targeted toward enterprises with larger teams/workloads), but ultimately set their sights on CoreOS Container Linux. "A container-optimized Linux distribution system was exactly what we needed," he says. "We didn't have to futz around with trying to take something like a Linux distro and install everything. It's got a built-in container orchestration system, which is Fleet, and an easy-to-use API. It's not as feature-rich as some of the heavier solutions, but we realized that, at that moment, it was exactly what we needed."</p>
 
-<p>Wink's hub (along with a revamped app) was introduced in July 2014 with a short-term deployment, and within the first month, they had moved the service to the Dockerized CoreOS deployment. Since then, they've moved almost every other piece of their infrastructure – from third-party cloud-to-cloud integrations to their customer service and payment portals – onto CoreOS Container Linux clusters.</p>
+<p>Wink's hub (along with a revamped app) was introduced in July 2014 with a short-term deployment, and within the first month, they had moved the service to the containerized CoreOS deployment. Since then, they've moved almost every other piece of their infrastructure – from third-party cloud-to-cloud integrations to their customer service and payment portals – onto CoreOS Container Linux clusters.</p>
 
 <p>Using this setup did require some customization. "Fleet is really nice as a basic container orchestration system, but it doesn't take care of routing, sharing configurations, secrets, et cetera, among instances of a service," Klein says. "All of those layers of functionality can be implemented, of course, but if you don't want to spend a lot of time writing unit files manually – which of course nobody does – you need to create a tool to automate some of that, which we did."</p>