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    Does Your World Include Storage? Don’t Miss SDC!

    August 18th, 2017

    Whether storage is already a main focus of your career or may be advancing toward you, you’ll definitely want to attend the flagship event for storage developers – and those involved in storage operations, decision making, and usage  – SNIA’s 19th annual Storage Developer Conference (SDC), September 11-14, 2017 at the Hyatt Regency Santa Clara, California.  Continue Reading…

    Containers, Docker and Storage – An Expert Q&A

    December 19th, 2016

    Containers continue to be a hot topic today as is evidenced by the more than 2,000 people who have already viewed our SNIA Cloud webcasts, “Intro to Containers, Container Storage and Docker“ and “Containers: Best Practices and Data Management Services.” In this blog, our experts, Keith Hudgins of Docker and Andrew Sullivan of NetApp, address questions from our most recent live event.

    Q. What is the major challenge for storage in containerized environment?

    A. Containers move fast. Users can spin up and spin down containers extremely quickly. The biggest challenge in production-bound container environments is simply keeping up with the movement of data.

    Docker Engine does not delete base container images when the container is shut down. Likewise, Registry assumes you’ve got unlimited storage on hand. For containers that push frequent revisions (as would be the case in a continuous delivery environment), that leads to a lot of orphaned container images that can fill up all available storage if left unchecked.

    There are some community-led scripts that will help to keep things in control. That’s the beauty of community-led technology.

    Q. What about the speed of retrieving the data from storage?

    A. That’s where being a solid storage architect comes in. Every storage system has different strengths and weaknesses, so it’s important to engineer your solution to fit your performance goals. Docker containers are running on the main kernel of the host system. IO is not constrained by abstraction, as in the case of virtual machines. Rather, it is constrained more by density – hundreds of containers on a host can push massive IOPS, so you want your pipes fat and data sources close to the host systems.

    Q. Can you expand on moving Docker Volumes from On-Premise bare metal to Cloud Service Providers? Data Migration? Encryption? 

    A. None of these capabilities are built-in to Docker Engine. We rely on external storage systems to provide those features. Private-to-cloud replication is primarily a feature of software-based companies, like Portworx, Blockbridge, or Hedvig. Encryption and migration are both common features across other companies as well. Flocker from ClusterHQ is a service broker system that provides many bolt-on features for storage systems they support. You can also use community-supplied services like Ceph to get you there.

    Q. Are you familiar with “Flocker” that apparently is able to copy persistent data to another container? Can share your thoughts?

    A. Yes. ClusterHQ (makers of Flocker) provide an API broker that sits between storage engines and Docker (and other dynamic infrastructure providers, like OpenStack), and they also provide some bolt-on features like replication and encryption.

    Q. Is there any sort of feature in the volume plugins that allows a persistent volume to re-connect to a container if the container is moved across multiple hosts?

    A. There’s no feature in plugins to cover that specifically. The plugin API is very simple. In practice, what you would do is write your plugin to expose volumes to Docker Engine on every host that it’s possible to mount that volume. In your container specification, whether it’s a Compose file, DAB file, or what have you, specify the name of your volume. Wherever that unique name is encountered, it will be mounted and attached to the container when it’s re-launched.

    If you have more questions on containers, Docker and storage, check out our first Q&A blog: Containers: No Shortage of Interest or Questions.

    I also encourage you to join our Containers opt-in email list. It will be a good way to keep up with all the SNIA Cloud is doing on this important technology.

    No Shortage of Container Storage Questions

    November 29th, 2016

    We covered a lot of ground in out recent SNIA Ethernet Storage Forum webcast, “Current State of Storage in the Container World.” We had a technical discussion on why containers are so compelling, how Docker containers work, persistent shared storage and future considerations for container storage. We received some great questions during the live event, and as promised, here are answers to them all.

    Q. Docker cannot be installed on bare metal and requires a base OS to operate upon right?

    A. That is correct.

    Q. Does the application code need to be changed so that it can “fit and operate” in a container?

    A. No, the application code does not need to change. The challenge most people face when migrating an application to a container is how to maintain the application’s state. One of the motivations for this webcast was to explain how to allow applications within containers to persist data. Hopefully the Docker Volume construct will meet your needs.

    Q. Seems like containers share one OS/kernel… That suggests that there is just one OS in the “containerized” server… And yet there is still mention of hypervisor (or at least Hyper-V)… Can you clarify? If the containers share an OS, is a hypervisor needed?

    A. You are correct, containers are designed to share a single kernel; therefore a hypervisor is not required to run containers. Having said that, VMware and Microsoft both offer options that run a single container in its own virtual machine (running a minimal operating system).

    Q. Can the Docker Hub be compared to something like the GitHub?

    A. Yes, that is a great analogy. Docker Hub (hub.docker.com) is to container images as GitHub (github.com) is to source code.

    Q. What are the differences between the base and the host image?

    A. If you’re referring to the webcast slides; the box labeled “Base Image” is the first layer in an image. The box labeled “Host OS” is not a layer, but represents the hosting operating system (kernel) that is shared by the containers.

    Q. So there is a separate root per container?

    A. In most cases the image will provide a root, therefore each container will have a separate root. This is made possible by a kernel feature called namespaces. Alternatively, Docker does allow you to share a directory between the host operating system and any number of containers though.

    Q. If Deduplication is enabled on the storage LUNs, won’t that affect the performance of the containers?

    A. Well implemented data reduction features (compression and deduplication) should have little to no effect on performance and should provide significant benefit by reducing the space required to store containers.

    Q. Can you please quickly review the concept of copy-on-write with one or two sentences to boil it down?

    A. How the copy-on-write works depends on whether the driver is file or block based. For the sake of simplicity, let’s assume a file-based implementation. Since the image layers are read-only, we need an area to store the changes that the container has made. This area is the copy-on-write layer. When a process reads a file that has not been modified, the file is read from one of the read only layers. When that file is modified and needs to be written back to disk, the new file is written to the copy-on-write layer as is the metadata that describes the file. The next time this file is read, it is read from copy-on-write layer. The graph driver is responsible for this functionality and varies by implementation.

    Q. Can network locations be used for /data? If yes, how does the Docker Engine manage network authentication for the driver?

    A. Yes, network locations can be used. The best practice is to use the Local Volume Driver, where you can pass in the required authentication via the options (see slide 15). Alternatively, the network location can be mounted on the host operating system and exposed to containers (see slides 21 & 22).

    Q. Is this where VAAI like primitives would get implemented?

    A. VAAI defines several in-band primitives.  The Docker Volume plug-in framework is completely out-of-band.  There can be some overlap in features though.  For example, the XCOPY primitive can be used to offload ‘copy jobs’ to an array.  If the vendor chooses to do so, a ‘copy job’ can be offloaded through the Docker Volume plug-in as well.  For example, a plug-in might implement a “clone” option that provides this service.

    Q. Could you share some details about Kubernetes storage ? Persistent volumes and the difference from Docker volumes? Also, what is your perspective of Flocker?

    A. Kubernetes has the concept of persistent storage. This abstraction is also called a volume. In addition, Kubernetes provides a plug-in option as well. The Kubernetes implementation predates the Docker Volume and is currently not compatible.

    Q. Comment on mainframe: IBM runs Linux on zSeries, therefore can run Linux Docker containers.

    A. Thanks, that’s good to know.

    Q. How many operating systems changes on the x86 platform? How many on the mainframe platform? Can x86 architecture run the same code/OS from 40 years ago? Docker on mainframe?

    A. The mainframe architecture has been very solid and consistent for many years.

    Q. What is a big challenge for storage in container environment?

    A. I don’t think storage has a challenge in the container environment. I think, with a properly implemented Docker Volume Plug-in, storage provides a solution to the persistent shared storage need in a container environment.

    Q. Do you ever look into RexRay or VMDK storage drivers?

    A. Yes, these are both examples of Docker Volume plug-in implementations.


    The Next Step for Containers: Best Practices and Data Management Services

    October 25th, 2016

    In our first SNIA Cloud webcast on containers, we provided a solid foundation on what containers are, container storage challenges and Docker. If you missed the live event, it’s now available on-demand. I encourage you to check it out, as well as our webcast Q&A blog.

    So now that we have set the stage and you’ve become acquainted with basic container technologies and the associated storage challenges in supporting applications running within containers in production, we will be back on December 7th. This time we will take a deeper dive into what differentiates this technology from what you are used to with virtual machines. Containers can both complement virtual machines and also replace them, as they promise the ability to scale exponentially higher. They can easily be ported from one physical server to another or to one platform—such as on-premise—to another—such as public cloud providers like Amazon AWS.

    At our December 7th webcast, “Containers: Best Practices and Data Management Services,” we’ll explore container best practices to address the various challenges around networking, security and logging. We’ll also look at what types of applications more easily lend themselves to a microservice architecture versus which applications may require additional investments to refactor/re-architect to take advantage of microservices.

    On December 7th, we’ll be on hand to answer your questions on the spot. I encourage you to register today. We hope you can attend!

    The Current State of Storage in the Container World

    October 25th, 2016

    It seems like everyone is talking about containers these days, but not everyone is talking about storage – and they should be. The first wave of adoption of container technology was focused on micro services and ephemeral workloads. The next wave of adoption won’t be possible without persistent, shared storage. That’s why the SNIA Ethernet Storage Forum is hosting a live webcast on November 17th, “Current State of Storage in the Container World.” In this webcast, we will provide an overview of Docker containers and the inherent challenge of persistence when containerizing traditional enterprise applications.  We will then examine the different storage solutions available for solving these challenges and provide the pros and cons of each. You’ll hear:

    • An Overview of Containers
      • Quick history, where we are now
      • Virtual machines vs. Containers
      • How Docker containers work
      • Why containers are compelling for customers
      • Challenges
      • Storage
    • Storage Options for Containers
      • NAS vs. SAN
      • Persistent and non-persistent
    • Future Considerations
      • Opportunities for future work

    This webcast should appeal to those interested in understanding the basics of containers and how it relates to storage used with containers. I encourage you to register today! We hope you can make it on November 17th. And if you’re interested in keeping up with all that SNIA is doing with containers, please sign up for our Containers Opt-In Email list and we’ll be sure to keep you posted.


    Containers: No Shortage of Interest or Questions

    October 10th, 2016

    Based on record-breaking registration and attendance at our recent SNIA Cloud webcast, Intro to Containers, Container Storage and Docker, It’s clear that containers is a hot topic that folks want to learn more about – especially from a vendor-neutral authority like SNIA. If you missed the live event, it’s now available on-demand together with the webcast slides.

    We were bombarded with questions at the live webcast and we ran out of time before we could answer them all, so as promised, here are answers from our expert presenters, Chad Thibodeau and Keith Hudgins. Oh, and please don’t forget to register for part two of this webcast, Containers: Best Practices and Data Management Services, on December 7, 2016.

    Q: Would you please highlight key challenges a company may face to move from a hypervisor to container environment?

    CT: The main challenge that gets raised in moving from virtual machines to containers is around security as when deployed on bare-metal, all of the containers share the core operating system. However, there are arguments that containers can still be effectively isolated.

    KH: Primarily paring down your applications to their minimum running requirements. This can be quite difficult with long-entrenched legacy applications!

    Q: With a VM you allocate a finite amount of vCPU and RAM, with a high degree of confidence that those resources will be available to whatever workload is running in the VM. Is that also true of containers – does (or can) the workload get a guaranteed allocation of CPU and memory resources?

    CT: Keith, I’ll let you address this one from the application microservice; from the storage side, an SLA or Quality-of-Service can be defined for a container volume if the storage provider offers this capability.

    KH: By default, you don’t allocate CPU or ram availability. Most containers are small enough that it’s not a consideration. However, if you need to specify priority, we have a method to do that. Please review the docs here.

    Q: Where are microservices most useful? Are there certain environments where they are more likely to be deployed & which verticals or type of solutions/apps will see more benefit?

    CT: Microservices can apply to applications within most verticals; for financials it was mentioned that Goldman Sachs is planning on containerizing 90% of their existing applications to web-service such as Netflix. Some of the determining factors are whether the application(s) would benefit from what container technology provides such as rapid deployment, lightweight, portability, and the ability to scale beyond typical monolithic applications.

    KH: Microservices are most useful with network-facing applications that don’t require heavy transactional control. Note that it *is* possible to build transactional microservices, but the best practices on that route hasn’t been optimized yet.

    Q: What OS version / Hypervisor, support containerization, are working towards cutting the “noisy neighbor” issue?

    CT: Containers are supported by both MS Windows and Linux operating systems. The specific version of Linux OS will be more dependent upon the level of capabilities included (Keith, more your area) and MS Windows Server 2016 is the first release of Windows with container (Docker) support.

    KH: Docker supports running containers under Windows and Linux kernels. We don’t care whether it’s on metal or virtualized. It’s possible to set affinity groups in a production Docker installation to help manage noisy neighbor issues, but note that fundamentally Docker is NOT a multi-tenant system.

    Q: What is “stateful database”? How does it differ from regular databases?

    CT: Most databases are stateful such as Oracle, MySQL, Cassandra, MongoDB or Redis. The confusion may be around the Gartner quote which stated “Stateful Database Applications” in which they simply meant that databases are examples of stateful applications.

    KH: Any database is by definition stateful. A “stateless” container is one that is running a process that doesn’t store persistent data to disk. This could be a caching system, web application server, load balancer, queue runner, or pretty much any component that doesn’t need to store data. Everything else is “stateful” and needs some way to shove that data into a reliable datastore.

    Q: What factors should be considered when choosing between containers and virtual servers for a given project/use case?

    CT: The driving factors for container deployments are: portability, minimal footprint (low overhead since no hypervisor or guest OS), rapid provisioning and de-commissioning, scalability and largely open-source based. If any (or all) of these are deemed valuable to you, then you should consider container deployment technology.

    KH: That’s a very broad question! It helps to understand that a container is simply a wrapper around one process that is running on a container host. So it’d be one database service, or one web app server, for example. If you can break up your application into a bunch of these single processes and chain those processes together via networking (DB serves data through the network layer to your cache, which supplies the web app, which is behind the load balancer, etc) then it’s a great candidate for containerization.

    Q: Sounds like a lightweight hypervisor?

    CT: Containers have been compared to virtual machines as a “lightweight VM”; however, there are distinctions mostly around the fact that the hardware resources are not virtualized for containers, but rather the application is abstracted.

    KH: That’s not a bad way to start thinking about it. However, you don’t have a second kernel underneath the hypervisor, so there’s no hardware abstraction. Also, in general you don’t want to run a full OS stack per container, just what you need for the application. That way your containers are lean and efficient.

    Q: So is there a practical limit to the number of users you need to have for an app in order for containers/microservices to be preferable vs. traditional apps?

    CT: Not necessarily. It is more about what you are trying to achieve with the application and the requirements you have around things like: platform agnostic, portability, ease-of-deployment, scalability, etc. But I wouldn’t put a hard number on when containers make more sense over virtual machines or bare-metal deployments for that matter.

    KH: Nope! Microservices is far more about making it easier to build and maintain your applications than it is about scaling. Like anything, you can over-abstract your application design and go extra silly with it, but it’s fundamentally about a better way of managing your applications’ lifecycle than it is about how many users you can push through the pipe.

    Q: So is graph and memory the same thing?

    CT: Keith, I’ll let you address this one.

    KH: Nope. Graph refers to our copy-on-write storage for images at runtime. Our docs can explain it way better than I can in a Q&A session. Look here for more info.

    Q: Similar to the Docker Container Networking, are there any specific efforts going on around Docker Storage? For example, are you (or will you be) building any products to support features that you mentioned (such as ‘Storage vMotion’ like capabilities)?

    CT: Keith, I’ll let you address this one. However, there are initiatives and activities on the storage side around providing vMotion like capabilities for the data and application state.

    KH: It’s always a possibility. There’s nothing I can say right now, but stay tuned.

    Q: Let me shift gear, here, where does containerization work with NFV, and how should one correlate to the ask of Telco provider(s)?

    CT: Keith, I’ll let you address this one–should be right up your alley.

    KH: While this webinar is fundamentally about storage technologies, Docker does have a very broad ecosystem of network partners. NFV is a very broad topic and can’t easily be covered in one quick bite, but there are definitely efforts using Docker as both an enablement technology for NFV, as well as integrating Docker’s built-in networking capabilities in an NFV scope for application delivery.

    Q: It would be helpful to circle back at the end and summarize what is Open Source and what is a commercial product, I’m trying to grasp what you miss out on by staying just Open Source. I know that excludes the Universal Control Plane but I don’t yet see what UCP delivers, what its USP is.

    CT: Keith, I’ll let you address this one–should be right up your alley.

    KH: UCP is the only unique commercial component of Docker. It combines a web-based GUI with role-based access control (RBAC) to make it easier to control security and access to Docker components in a production environment. We do maintain a separate codebase for our commercially supported Engine and Registry, but that’s mainly done to maintain a more stable release, with critical patches backported from the upstream open source projects. Fundamentally, CS Engine and DTR are the same product as their open source upstreams, only on a slower, more stable release cycle. Click here for an overview, and links to some more detailed information on what’s involved in our commercial products:

    Q: Is there demand for concurrent access, across container hosts, to persistent data? If so, what are those use case scenarios?

    CT: Yes, actually if you think about a micro-service architecture, you will most likely have many containers accessing a common set of container data volumes simultaneously. This is exactly the reason for persistent storage–if the containers running the application services get migrated or moved to other physical nodes, they need to maintain access to their respective container data volumes in many cases.

    KH: What a great question! That demand is small, but there. In most cases, persistent data is maintained concurrently through clustering processes (database replication, object storage, etc) but there are some edge cases for large file processing (rendering, big data needs) where there are some asks for that capability.

    Q: is it possible to run windows applications on Linux container and vice versa?

    CT: To my knowledge, you should be able to run Linux applications within the recently announced Windows Server 2016 supported containers (see article here), but you can’t run Windows applications within Linux containers.

    KH: No. A container is essentially a process running in a named concurrency group under the kernel. Therefore, you need a Linux kernel to run Linux processes, and likewise for Windows. It will be possible to run Windows and Linux containers under the same management umbrella very soon. We’re waiting on some network features to roll out in Windows Server 2016 SP1 for that capability.

    Q: is it a good idea to run legacy apps in a container? Exactly what is the relation between microservices and containers? Container-like technology used to be popular in various UNIX OSes. What is different now? is the best choice a microservice in a container & spin multiple instantiations fast?

    CT: Keith, I’ll let you address this one–should be right up your alley.

    KH: Container technology is still popular in several UNIX OSes. Under the hood, a Docker Linux container isn’t very different from a Solaris Zone. The difference is primarily the lifecycle tools to build and maintain your containers from both the developer and operations sides. The newer generation of container runtimes is simply much easier to use than older methods. From a Docker perspective: Docker Hub, the ease of use of the ‘Docker’ CLI command tools, and clustering capabilities in Engine are the main differences. As always, design your architecture to fit your team, user, and application needs. However, if you do want to use a microservices approach, maintaining each part of your application stack as a suite of microservices does make running them widely parallel a strong approach.

    Q: Is a micro service self-contained with respect to data requirements. Can a service that depends on an external datasource be a micro service?

    CT: A micro service is by definition self-contained; however, it also would typically connect to one or more container data volumes. Regarding accessing external data sources, not exactly sure what is meant here, but the micro services can be running on one physical server with the container data volumes being created and managed on a separate DAS/SAN/NAS storage platform.

    KH: Yes, absolutely. An API broker for an external, legacy datastore is a good example of a microservice.

    Q: How are container images qualified so that they can be trusted for automated pulls?

    CT: Keith, I’ll let you address this one–should be right up your alley. I believe that there is NOT a vetting or certification process done by Docker when posting to either the public Hub or to a trusted registry. This would be the responsibility of the container image developer.

    KH: In a few ways. First, containers are rarely built from scratch. They are normally built from base images released by trusted providers like Microsoft, Ubuntu, Red Hat, etc. First you should prove trust in that base image through similar methods as you would a VM image. In a Docker Datacenter install, a user with Admin rights can then bring those base images into Docker Trusted Registry (DTR) and then also do a review of internal images built on top of that base before blessing them to go into production. There are also 3rd party security scanning technologies you can use, should that be a concern.

    Q: For stateless applications, can Docker help apply updates to the application without taking a downtime? For example, a container is running version n of an application and version n+1 needs to be deployed without causing a downtime to users, could one spin a new container with version n+1 of the application and deploy it?

    CT: If the application is truly stateless, then it shouldn’t matter if they are torn down and restarted on another physical server/node to allow the application of a new patch or OS update on the original node. However, this would need to be correctly architected.

    KH: Yes. Using Docker Engine in Swarm mode, we provide a command ‘Docker service update’ to do exactly that. Check the docs.

    Q: Flocker vs. Convoy vs. others – could you talk about these interfaces and their adoption?

    CT: ClusterHQ (Flocker) has developed a generic storage volume plugin that they then provided back to the Docker community to incorporate the Docker engine. I’m not very familiar with Convoy, but it appears to be a Rancher-developed storage plugin that they have made available as open source, but it is not part of the Docker release.

    KH: Flocker and Convoy are brokerage-type volume drivers that have the capability to connect with several storage backends. Each has its own API to talk to and manage volumes under the hood. It’s also possible to integrate directly with Docker’s volume API. If you’re mainly interested in integrating purely with Docker Engine, a direct Docker Volume API plugin is the best approach. However, both Flocker and Convoy provide some ease-of-use features and capabilities that might make it attractive to go their routes. Volume API docs are here.

    Q: Does the link in communication between different containers that run microservices incur the very load we are trying to escape from monolithic approach?

    CT: Keith, I’ll let you address this one–should be right up your alley.

    KH: That’s a very philosophical question! I’d argue that using modern API methods like REST over HTTP is so lightweight that the distributed approach makes more sense.

    Q: Docker Swarm?

    CT: Keith, I’ll let you address this one.

    KH: Swarm is our clustering technology to chain together several Docker Engine hosts into one big cluster. Prior to Engine 1.12, it was a standalone product. After 1.12, we added SwarmKit into Engine to make building and maintaining swarms much easier. For more info, check out old Swarm docs and new Swarm docs.

    Q: Do the applications need to be re-written/revised to take advantage of Container approach?

    CT: Most legacy or monolithic applications will need to be refactored to best take advantage of a micro-service architecture.

    KH: Typically, yes. Web applications are already built in a distributed way, so they’re the easiest to convert.

    Q: Do microservices implement Unikernels?

    CT: Keith, I’ll let you also address this. My take: Containers run microservices and leverage the entire OS (Linux kernel and all of its libraries, drivers, etc.). A unikernel is a very small and minimalistic kernel that doesn’t contain the additional bloat of the full kernel and therefore, is considered to run that much faster and leaner. Docker acquired a unikernels company and will most likely provide support for running microservices with unikernels and how they may provide a container like wrapper.

    KH: Not directly. Unikernels are a new method to run arbitrary runtimes under a single kernel. Docker is currently doing some early work with microkernel technology to improve containers, but it’s not rolled into core Engine yet.

    Q: Can a Docker container run on bare metal instead of a host OS directly. If yes, what benefits does this approach provide?

    CT: A Docker container requires a host OS to run; however, when we refer to “bare-metal” we are referring to a “non-virtualized server”. The key benefit this provides is that you don’t waste efficiencies by eliminating the hypervisor and guest OS and it is also much more manageable as with the hypervisor and guest OS scenario, you have to manage and maintain all of the VMs that may have different guest OS’s and versions.

    KH: No. A Docker container needs Docker Engine to run, so you’ll need to run Engine under a supported OS on the metal. Running Engine on a physical server means your containers will get full “on the iron” IO, since there’s no hypervisor abstraction layer between your container and the hardware it’s running on.

    Q: Are packaged software companies like Oracle moving to containerization?

    CT: Oracle is developing product offerings that are containerized applications. They would be best able to address your question.

    KH: Here is Oracle’s GitHub repository of their official Docker containers and here is their official images in Docker Hub.

    See? I told you there was no shortage of questions! If you still have one, please comment in this blog below and we’ll get back to you as soon as we can. Follow us on Twitter @SNIACloud to stay up-to-date on what SNIA Cloud is doing with containers. And don’t forget to register for part two of this webcast, Containers: Best Practices and Data Services, on December 7th. We hope to see you there!



    Containers, Docker and Storage: An Introduction

    August 26th, 2016

    Containers are the latest in what are new and innovative ways of packaging, managing and deploying distributed applications. On October 6th, the SNIA Cloud Storage Initiative will host a live webcast, “Intro to Containers, Container Storage Challenges and Docker.” Together with our guest speaker from Docker, Keith Hudgins, we’ll begin by introducing the concept of containers. You’ll learn what they are and the advantages they bring illustrated by use cases, why you might want to consider them as an app deployment model, and how they differ from VMs or bare metal deployment environments.

    We’ll follow up with a look at what is required from a storage perspective, specifically when supporting stateful applications, using Docker, one of the leading software containerization platforms that provides a lightweight, open and secure environment for the deployment and management of containers. Finally, we’ll round out our Docker introduction by presenting a few key takeaways from DockerCon, the industry-leading event for makers and operators of distributed applications built on Docker, that recently took place in Seattle in June of this year.

    Join us for this discussion on:

    • Application deployment history
    • Containers vs. virtual machines vs. bare metal
    • Factors driving containers and common use cases
    • Storage ecosystem and features
    • Container storage table stakes (focus on Enterprise-class storage services)
    • Introduction to Docker
    • Key takeaways from DockerCon 2016

    This event is live, so we’ll be on hand to answer your questions. Please register today. We hope to see you on Oct. 6th!