3 Customer Perspectives on Using Docker Enterprise with Kubernetes


We’ve talked a lot about how Docker Enterprise supports and simplifies Kubernetes. But how are organizations actually running Kubernetes on Docker Enterprise? What have they learned from their experiences?
Here are three of their stories:
McKesson Corporation
When you visit the doctor’s office or hospital, there’s a very good chance McKesson’s solutions and systems are helping make quality healthcare possible. The company ranks number 6 in the Fortune 100 with $208 billion in revenue, and provides information systems, medical equipment and supplies to healthcare providers.
The technology team built the McKesson Kubernetes Platform (MKP) on Docker Enterprise to give its developers a consistent ecosystem to build, share and run software in a secure and resilient fashion. The multi-tenant, multi-cloud platform runs across Microsoft Azure, Google Cloud Platform and on-premise systems supporting several use cases:
Monolithic applications. The team is containerizing an existing SAP e-commerce application that supports over 400,000 customers. The application platform needs to be scalable, support multi-tenancy and meet U.S. and Canadian compliance standards, including HIPAA, PCI and PIPEDA.
Microservices. Pharmaceutical analytics teams are doing a POC of blockchain applications on the platform.
CI/CD. Developer teams are containerizing the entire software pipeline based on Atlassian Bamboo.
Batch jobs. Other teams are moving ETL (extract, transform, load) data functions to the new platform.
You can learn more about McKesson’s story in their recorded DockerCon 2019 talk.
Fortune 500 Financial Services Firm
One of the most recognizable financial services brands is using Docker Enterprise to build a on-premise Kubernetes deployment to support machine learning projects.
Docker Enterprise provides a secure runtime environment for Kubernetes. The team selected Kubernetes as their orchestration solution for several reasons:
Support for machine learning solutions such as Kubeflow, Tensorflow and Jupyter.
GPU support for compute-intensive workloads.
Extensive container storage interface (CSI) options give them flexibility to provide persistent storage to data-intensive applications.
Even though the company has internal expertise in Kubernetes, they already use Docker Enterprise to support their e-commerce applications. The team recognized the benefits of running Kubernetes within Docker Enterprise.
Citizens Bank
The mortgage division at Citizens Bank has been running Docker Enterprise in production since February 2017. The team used Swarm for orchestration from the start, and quickly scaled to supporting 1,000 containers in a single cluster in just over a year.
The deployment grew, and by the fall of 2018 they were running 2,000 containers. When Docker added support for Kubernetes, the team evaluated migrating some applications — particularly stateful services like Kafka and Zookeeper — to take advantage of native automatic scaling and application deployment in Kubernetes.
But for Citizens Bank, the complexity/simplicity trade-off led them to reconsider and keep all workloads on Swarm. As Mike Noe, one of their DevOps engineers put it:
 “Swarm and Kubernetes were built with two different philosophies in mind. Swarm aims to offer high impact solutions while prioritizing simplicity. Kubernetes aims to offer a solution for literally every conceivable problem.”
Their advice – pick the right orchestrator for your situation. You can learn more about the Citizens story in their DockerCon 2019 session recording.
The Best of Both Worlds
The Docker platform includes a secure and fully-conformant Kubernetes environment for developers and operators of all skill levels, providing out-of-the-box integrations for common enterprise requirements while still enabling complete flexibility for expert users. That means you can run Kubernetes interchangeably with Swarm orchestration in the same cluster for ultimate flexibility at runtime.[Source]-https://blog.docker.com/2019/05/3-customer-perspectives-on-using-docker-enterprise-with-kubernetes/
Beginners & Advanced level Docker Training in Mumbai. Asterix Solution's 25 Hour Docker Training gives broad hands-on practicals. For details, Visit :


Comments

Post a Comment

Popular posts from this blog

Why, when and how to return Stream from your Java API instead of a collection

Introduction Collections are basic and commonly used data structures. Programmers from the beginning of their career learn how to use them to receive, process and return data. Getting more advanced in Java programming, they find stream() method to convert a collection into a stream and learn how to process data using some of the stream’s useful methods like map, flatMap or reduce. They could also notice that other APIs in Java return a stream too e.g. String.lines(), Matcher.results(), Files.find(), Random.ints(). If you have experience with consuming streams but haven’t produced them yet, this article is for you. I’m going to show you some scenarios where streams can be very convenient and examples on how to use them. Additionally, I shortly mention error handling and resource management. The article is based on standard Java library java.util.stream. It’s related neither to reactive streams nor to other implementation of streams like e.g. Vavr. Also, I’m not going to cover a...
Read more

What is Kubernetes?

Kubernetes (also known as k8s or “kube”) is an open source container orchestration platform that automates many of the manual processes involved in deploying, managing, and scaling containerized applications. In other words, you can cluster together groups of hosts running Linux containers, and Kubernetes helps you easily and efficiently manage those clusters. Kubernetes clusters can span hosts across on-premise, public, private, or hybrid clouds. For this reason, Kubernetes is an ideal platform for hosting cloud-native applications that require rapid scaling, like real-time data streaming through Apache Kafka. Kubernetes was originally developed and designed by engineers at Google. Google was one of the early contributors to Linux container technology and has talked publicly about how everything at Google runs in containers. (This is the technology behind Google’s cloud services.) Google generates more than 2 billion container deployments a week, all powered by its ...
Read more

Best way to learn Java programming

Having said that I am writing this post dedicated to all my young (or I should say beginner) fellows who want to attain a certain level of proficiency in java technology and somewhere would like to take my advice on this. Keep in mind that if you do not like the way to learn java, I am proposing in this post, then just ignore me. Period. OR better, suggest me what you think is the better way to learn java fast or easily. Here I am assuming the people reading this post will be, who are very new to language, so I will start by listing first thing first. Make sure you have prepared your Java development environment ready i.e. You have installed JDK/JRE and you have an IDE like Eclipse. 1) Learn the language basics This is the first step for very obvious reason. If you don’t know the basics then you will never know either what to do next or what you are doing wrong. Initially, I do not expect from you to become the master of all java basic stuffs like keywords, core concepts o...
Read more