Category: Cloud

When All You Have Are Stretched VLANs...

Let’s agree for a millisecond that you can’t find any other way to migrate your workload into a public cloud than to move the existing VMs one-by-one without renumbering them. Doing a clumsy cloud migration like this will get you the headaches and the cloud bill you deserve, but that’s a different story. Today we’ll talk about being clumsy the right and the wrong way.

There are two ways of solving today’s challenge:

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Cloud Automation Example: Create a Virtual Network

One of the first hands-on exercises in our Networking in Public Cloud Deployments asks the attendees to automate something. They can choose the cloud provider they want to work with and the automation tool they prefer… but whatever they do has to be automated.

Most solutions include a simple CloudFormation, Azure Resource Manager, or Terraform template with a line or two of README.MD, but Erik Auerswald totally astonished me with a detailed and precise writeup. Enjoy!

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The Myth of Scaling From On-Premises Data Center into a Public Cloud

Every now and then someone tries to justify the “wisdom” of migrating VMs from on-premises data center into a public cloud (without renumbering them) with the idea of “scaling out into the public cloud” aka “cloud bursting”. My usual response: this is another vendor marketing myth that works only in PowerPoint.

To be honest, that statement is too harsh. You can easily scale your application into a public cloud assuming that:

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Connecting Your Legacy WAN to Cloud is Harder than You Think

Unless you’re working for a cloud-only startup, you’ll always have to connect applications running in a public cloud with existing systems or databases running in a more traditional environment, or connect your users to public cloud workloads.

Public cloud providers love stable and robust solutions, and they took the same approach when implementing their legacy connectivity solutions: you could use routed Ethernet connections or IPsec VPN, and run BGP across them, turning the problem into a well-understood routing problem.

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You're Responsible for Resiliency of Your Public Cloud Deployment

Enterprise environments usually implement “mission-critical” applications by pushing high-availability requirements down the stack until they hit networking… and then blame the networking team when the whole house of cards collapses.

Most public cloud providers are not willing to play the same stupid blame-shifting game - they live or die by their reputation, and maintaining a stable service is their highest priority. They will do their best to implement a robust and resilient infrastructure, but will not do anything that could impact its stability or scalability… including the snake oil the virtualization and networking vendors love to sell to their gullible customers. When you deploy your application workloads into a public cloud, you become responsible for the resiliency of your own application, and there’s no magic button that could allow you to push the problems down the stack.

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Master Infrastructure-as-Code and Immutable Infrastructure Principles

Doing the same thing and hoping for a different result is supposedly a definition of insanity… and managing public cloud deployments with an unrepeatable sequence of GUI clicks comes pretty close to it.

Engineers who mastered the art of public cloud deployments realized decades ago that the only way forward is to treat infrastructure in the same way as any other source code:

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Public Cloud Cannot Change the Laws of Physics

Listening to public cloud evangelists and marketing departments of vendors selling over-the-cloud networking solutions or multi-cloud orchestration systems, you could start to believe that migrating your workload to a public cloud would solve all your problems… and if you’re gullible enough to listen to them, you’ll get the results you deserve.

Unfortunately, nothing can change the fundamental laws of physics, networking, or application architectures:

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