Taking the Azure Data Box Gateway (preview) out for a spin!

Introduction

At the last Ignite conference, three new additions joined the Data Box family. In today’s post we’ll take one of those out for a spin, being the “Data Box Gateway“. This one comes as a virtual appliance that you can run on top of your own physical hardware.

 

So where does it fit into the picture?

  • Cloud archival – Copy hundreds of TBs of data to Azure storage using Data Box Gateway in a secure and efficient manner. The data can be ingested one time or an ongoing basis for archival scenarios.
  • Data aggregation – Aggregate data from multiple sources into a single location in Azure Storage for data processing and analytics.
  • Integration with on-premises workloads – Integrate with on-premises workloads such as backup and restore that use cloud storage and need local access for commonly used files.

 

Let’s take it for a spin!

So let’s make it a bit more tangible and see what the user experience is in setting it up & using it. Start by searching the Azure Marketplace for Data Box Gateway.

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Traffic Light Protocol alike Security Reference Architecture for Azure

Introduction

The way how organizations categorize/handle classified information can vary significantly. Where it can go from about 6 categories towards a more “limited” set of 3 to 4 categories. Where you see that some government organizations have even tried to reduce this in an effort to make it more accessible.

 

So for today, we’ll be looking at how we can handle sensitive/classified information in Azure. And to ensure you that you Azure implementations can facilitate sensitive data.

 

Side Story : Security should be like a roundabout

Though I don’t remember which conference talk it was… One visual has always stuck with me when talking about security. Imagine security like road infrastructure. Having a complex situation might be needed at times, though it will increase the risk that the drivers (~users) will make mistakes.

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VMchooser now supports Azure Migrate Exports

Introduction

The “BulkUploader” module of VMchooser has existed for quite some time. It is without doubt the most loved capability by all the visitors/users. Though where many are accustomed to working with the CSV Input file, do know that you can now also use the export files of Azure Migrate! For today’s post, let’s go through the process…

 

Let’s take a look

Go to your Azure Migrate project

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Taking a glance at Rancher’s ability to manage the Azure Kubernetes Service (AKS)

Introduction

Pfew, it’s odd to admit that it has been a while since I’ve posted about Rancher. Though today is as good a day as any to pick up that thread… So today we’ll go through give or take the same objective as in the past, where we’ll notice that the integration has improved significantly with the arrival of AKS! Let’s get today’s post underway and deploy AKS from our Rancher control plane.

Preparation

Before the below started, I already had the following things ready ;

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Replatforming Azure Functions into an Azure Functions Container

Introduction

A while ago I talked about  “Faas/Serverless” in relation to vendor lock-in. Today we’ll be continuing in that road, where we’ll be doing a small proof-of-concept (PoC). In this PoC, we’ll be replatforming existing Azure Functions code into an Azure Functions container!

 

Things to know

Since Azure Functions 2.0 (in preview at the time of writing this post), you are able to leverage containers. Though be aware that there are several known issues. Do check them out first before embarking on your journey!

 

Testdriving 2.0

So first, we’ll start off with testing the Azure Functions Core Tools!  If you’re looking to follow this guide, be sure to have the Azure Functions Core Tools installed, which also depends on .NET Core 2.0 and Nodejs. Once you have those installed, do a “func –help”, and you’ll see what capabilities are at hand…

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FaaS & Serverless – Vendor lock-in or not? Consider the cost of the full application lifecycle

Introduction

In my current role at Microsoft, I often talk about the possibilities in regards to application modernization. A typical ask in this space is to what kind of service they should use as a underlying platform for their own services. Where this commonly results in a (brief) discussion about VMs vs Containers vs Serverless/FaaS. Today’s post is about my personal take on the matter.

 

Setting the scene

First let’s start with setting the scene a bit… For today I’ll try to focus on the application modernization landscape, where the same goes for the data platform stack. Here you can pretty much interchange “Functions” with “Data Lake Analytics” and “Containers” with “HD Insights”. Though we’ll not go into that detail, in order to reduce the complexity of the post. 😉

When looking towards the spectum, the first thing to acknowledge is the difference in service models. Here we mainly have two service models in play ;

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