Applications/DevOps

Why Canonicalization Should Be a Core Component of Your SQL Server Modernization (Part 2)

Robert F. Sonders By Robert F. Sonders Principal Systems Engineer, Data-Centric Workloads, Dell Technologies Consulting September 28, 2020

In Part 1 of this blog series, I introduced the Canonical Model, a fairly recent addition to the Services catalog. Canonicalization will become the north star where all newly created work is deployed to and managed, and it’s simplified approach also allows for vertical integration and solutioning an ecosystem when it comes to the design work of a SQL Server modernization effort. The stack is where the “services” run—starting with bare-metal, all the way to the application, with seven layers up the stack.

In this blog, I’ll dive further into the detail and operational considerations for the 7 layers of the fully supported stack and use by way of example the product that makes my socks roll up and down: a SQL Server Big Data Cluster. The SQL BDC is absolutely not the only “application” your IT team would address. This conversation is used for any “top of stack application” solutions. One example is Persistent Storage – for databases running in a container. We need to solution for the very top (SQL Server) and the very bottom (Dell Technologies Infrastructure). And, many optional permutation layers.

First, a Word About Kubernetes

One of my good friends at Microsoft, Buck Woody, never fails to mention a particular truth in his deep-dive training sessions for Kubernetes. He says, “If your storage is not built on a strong foundation, Kubernetes will fall apart.” He’s absolutely correct.

Kubernetes or “K8s” is an open-source container-orchestration system for automating deployment, scaling, and management of containerized applications and is the catalyst in the creation of many new business ventures, startups, and open-source projects. A Kubernetes cluster consists of the components that represent the control plane and includes a set of machines called nodes.

To get a good handle on Kubernetes, give Global Discipline Lead Daniel Murray’s blog a read, “Preparing to Conduct Your Kubernetes Orchestra in Tune with Your Goals.”

The 7 Layers of Integration Up the Stack

Let’s look at the vertical integration one layer at a time. This process and solution conversation is very fluid at the start. Facts, IT desires, best practice considerations, IT maturity, is currently all on the table. For me, at this stage, there is zero product conversation. For my data professionals, this is where we get on a white board (or virtual white board) and answer these questions:

  • Any data?
  • Anywhere?
  • Any way?

Answers here will help drive our layer conversations.

From tin to application, we have:

Layer 1

The foundation of any solid design of the stack starts with Dell Technologies Solutions for SQL Server. Dell Technologies infrastructure is best positioned to drive consistency up and down the stack and its supplemented by the company’s subject matter experts who work with you to make optimal decisions concerning compute, storage, and back up.

The requisites and hardware components of Layer 1 are:

  • Memory, storage class memory (PMEM), and a consideration for later—maybe a bunch of all-flash storage. Suggested equipment: PowerEdge.
  • Storage and CI component. Considerations here included use cases that will drive decisions to be made later within the layers. Encryption and compression in the mix? Repurposing? HA/DR conversations are also potentially spawned here. Suggested hardware: PowerOne, PowerStore, PowerFlex. Other considerations – structured or unstructured? Block? File? Object? Yes to all! Suggested hardware: PowerScale, ECS
  • Hard to argue the huge importance of a solid backup and recovery plan. Suggested hardware: PowerProtect Data Management portfolio.
  • Dell Networking. How are we going to “wire up”—Converged or Hyper-converged, or up the stack of virtualization, containerization and orchestration? How are all those aaS’es going to communicate? These questions concern the stack relationship integration and a key component to getting right.

Note: All of Layer 1 should consist of Dell Technologies products with deployment and support services. Full stop.

Layer 2

Now that we’ve laid our foundation from Dell Technologies, we can pivot to other Dell ecosystem solution sets as our journey continues, up the stack. Let’s keep going.

Considerations for Layer 2 are:

  • Are we sticking with physical tin (bare-metal)?
  • Should we apply a virtualization consolidation factor here? ESXi, Hyper-V, KVM? Virtualization is “optional” at this point. Again, the answers are fluid right now and it’s okay to say, “it depends.” We’ll get there!
  • Do we want to move to open-source in terms of a fully supported stack? Do we want the comfort of a supported model? IMO, I like a fully supported model although it comes at a cost. Implementing consolidation economics, however, like I mentioned above with virtualization and containerization, equals doing more with less.

Note: Layer 2 is optional (dependent upon future layers) and would be fully supported by either Dell Technologies, VMware or Microsoft and services provided by Dell Technologies Services or VMware Professional Services.

Layer 3

Choices in Layer 3 help drive decision or maturity curve comfort level all the way back to Layer 1. Additionally, at this juncture, we’ll also start talking about subsequent layers and thinking about the orchestration of Containers with Kubernetes.

Considerations and some of the purpose-built solutions for Layer 3 include:

  • Software-defined everything such as Dell Technologies PowerFlex (formally VxFlex).
  • Network and storage such as The Dell Technologies VMware Family – vSAN and the Microsoft Azure Family on-premises servers – Edge, Azure Stack Hub, Azure Stack HCI.

As we are walking through the journey to a containerized database world, at this level, is where we also need to start thinking about the CSI (Container Storage Interface) driver and where it will be supported.

  Note: Layer 3 is optional (dependent upon future layers) and would be fully supported by either Dell Technologies, VMware or Microsoft and services provided by Dell Technologies Services or VMware Professional Services.

Layer 4

Ah, we’ve climbed up four rungs on the ladder and arrived at the Operating System where things get really interesting! (Remember the days when OS was tin and an OS?)

Considerations for Layer 4 are:

  • Windows Server. Available in a few different forms—Desktop experience, Core, Nano.
  • Linux OS. Many choices including RedHat, Ubuntu, SUSE, just to name a few.

Note: Do you want to continue the supported stack path? If so, Microsoft and RedHat are the answers here in terms of where you’ll reach for “phone-a-friend” support.

Option: We could absolutely stop at this point and deploy our application stack. Perfectly fine to do this. It is a proven methodology.

Layer 5

Container technology – the ability to isolate one process from another – dates back to 1979. How is it that I didn’t pick this technology when I was 9 years old? 😊 Now, the age of containers is finally upon us. It cannot be ignored. It should not be ignored. If you have read my previous blogs, especially “The New DBA Role – Time to Get your aaS in Order,” you are already embracing SQL Server on containers. Yes!

 

Considerations and options for Layer 5, the “Container Control plane” are:

Note: Containers are absolutely optional here. However, certain options, in these layers, that will provide the runway for containers in the future. Virtualization of data and containerization of data can live on the same platform! Even if you are not ready currently. It would be good to setup for success now. Ready to start with containers, within hours, if needed.

Layer 6

The Container Orchestration plane. We all know about Virtualization sprawl. Now, we have container sprawl! Where are all these containers running? What cloud are they running? Which Hypervisor? It’s best to now manage through a single pane of glass—understanding and managing “all the things.”

Considerations for Layer 6 are:

Note: As of this blog publish date Azure Arc is not yet GA, it’s still in preview. No time like the present to start learning Arc’s in’s and out’s! Sign up for the public preview.

Layer 7

Finally, we have reached the application layer in our SQL Server Modernization. We can now install SQL Server, or any ancillary service offering in the SQL Server ecosystem. But hold on! There are a couple options to consider: Would you like your SQL services to be managed and “Always Current?” For me, the answer would be yes. And remember, we are talking about on-premises data here.

Considerations for Layer 7:

  • The application for this conversation is SQL Server 2019.
  • The appropriate decisions in building you stack will lead you to Azure Arc Data Services (currently in Preview), SQL Server and Kubernetes is a requirement here.

Note: With Dell Technologies solutions, you can deploy at your rate, as long as your infrastructure is solid.  Dell Technologies Services has services to move/consolidate and/or upgrade old versions of SQL Server to SQL Server 2019.

The Fully Supported Stack

In terms of considering all the choices and dependencies made at each layer of building and integrating the 7 layers up the stack, there is a fully supported stack available that includes services and products from:

  1. Dell Technologies
  2. VMware
  3. RedHat
  4. Microsoft

Also, there are absolutely many open-source choices that your teams can make along the way. Perfectly acceptable to do. In the end, it comes down to who wants to support what, and when.

Dell Technologies Is Here to Help You Succeed

There are deep integration points for the fully supported stack. I can speak for all permutations representing the four companies listed above. In my role at Dell Technologies, I engage with senior leadership, product owners, engineers, evangelists, professional services teams, data scientists—you name it. We all collaborate and discuss what is best for you, the client. When you engage with Dell Technologies for the complete solution experience, we have a fierce drive to make sure you are satisfied, both in the near and long term.  Find out more about our products and services for Microsoft SQL Server.

I invite you to take a moment to connect with a Dell Technologies Service Expert today and begin moving forward to your fully-support stack / SQL Server Modernization.

Robert F. Sonders

About Robert F. Sonders


Principal Systems Engineer, Data-Centric Workloads, Dell Technologies Consulting

Robert F. Sonders has been with Dell EMC for over 8 years. During his tenure he has been laser focused on Microsoft workloads, both on premises and hybrid, specifically around the entire SQL Server ecosystem, both from an Administrative and Business Intelligence perspective. During this journey, Robert has lead SQL Server delivery project teams as a technical consultant architect and a pre-sales Solution Principal.

Throughout his 24+ years of IT experience, Robert has been passionately engaged in implementations that have directly contributed to the advanced performance and productivity of diverse organization verticals in healthcare, financial, and e-commerce.

Robert will always begin with understanding the unique challenges of the business verticals with a focus on first learning the client’s perspective (listening first) and then will align the subsequent requirements to formulate a solution that will uniquely fit their needs. He prides himself on staying bleeding edge with his respective “wheelhouse” technologies.
His current role now aligns with core Dell EMC workloads as an “Advisory Systems Engineer – Microsoft Specialist”, His major focus is on all things SQL Server and Azure Stack, complementing all Account Teams and Systems Engineering teams for all pre-sales efforts.

When he is not consumed with reading and learning he is traveling, handling AKC champion Pembroke Welsh Corgis, and vigorously enjoying the outdoors that surround his desert home. He resides in Scottsdale AZ with his wife and Corgis.

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