Earlier this week I received a two folded question ; “Does a service endpoint go over internet? As when I block the storage account tags with a NSG, my connection towards the storage account stops.” Let’s look at the following illustration ;
The first thing to mention here is that the storage account (at this time) always listens to a public IP address. The funky thing is, that in Azure, you’ll have a capability called “Service Endpoint“, which I already covered briefly in the past. For argument’s sake, I’ve made a distinction in the above illustration between the “Azure Backbone” and the “Azure SDN”. A more correct representation might have been to have said “internal” & “external” Azure Backbone in terms of the IP address space used. So see the “Azure Backbone” in the above drawing as the public IP address space. Here all public addresses reside. Where the “Azure SDN” is the one that covers the internal flows. Also be aware that an Azure VNET can only have address spaces as described by RFC1918. So why did I depict it like this? To indicate that there are different flows;
- Connections from outside of Azure (“internet”)
- Connections from within the Microsoft backbone (“Azure Backbone”)
- Connections by leveraging a service endpoint
So how does the service endpoint work?
So to answer the question stated above ;
- Q: Does a service endpoint go over “the internet”?
- A : Define “internet”…
- If you mean that it uses a public ip address instead of an internal one? Then yes.
- If you mean that it leaves the Microsoft backbone? Then no.
- If you mean that the service is accessible from the internet? Unless you open up the firewall, it won’t (by default, when having a service endpoint configured).
- Q: When I block the storage tag in my network security group (“NSG”), then the traffic stops. How come?
- A: The NSG is active on NIC level. The storage account, even when using a service endpoint, will still use the public IP. As this public IP is listed in the ranges that are configured in the service tag, you’ll be effectively blocking the service. This might be your objective… Though if you do this to “lock down the internet flow”, then you won’t achieve the requested you wanted. You should leverage the firewall functionality from the service for which the service endpoint was used.
As always, let’s do a deep dive to experience this flow! So I did set up the above drawing in my personal lab ;
Continue reading “Hardening your Azure Storage Account by using Service Endpoints”
When working at scale, the only way to properly handle true scale is to work with horizontal scaling options. Some services (like CosmosDBCosmosDB for instance) do this out of the box and abstract it away from the user/customer. Though sometimes this is something you need to facilitate yourself… In terms of Azure Storage, we’re very open in regards to our limitations. For example, at this point in time, we’re currently facing a maximum egress of 50Gbps per storage account. Where this is more than enough for a lot or customers, at times we need to scale beyond this. Here the solution at hand is to see the storage account as a “scale unit”, and use it for horizontal scaling. So if you need 200GBps, then you can partition your data across four storage accounts.
In today’s post, we’re going to take a look at how you can aggregate these metrics into a single pane of glass. Because, at the end of the day, your operations team does not want to have a disaggregated view of all the components in play.
All Azure teams are constantly looking to evolve their services. Please note that the limits mention in this post are linked to the point in time when the article was written. As many of you know, Azure keeps evolving at vast pace, so the limits might already have been changed. If you are wondering, always check the following page for the most current limits that are linked to GA (“General Available”) services!
Continue reading “Aggregating Metrics from multiple Azure Storage Accounts”
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.
Continue reading “Taking the Azure Data Box Gateway (preview) out for a spin!”
In the summer of 2018, the 2nd generation of the Azure Data Lake Storage was announced. In today’s post, we’ll delve into the authentication & authorization part of this service. We’re going to see how we can leverage AAD to tighten security around our Data Lake.
To help us in this storyline, we’ll be looking to solve the following use case. A customer has stored a lot of data on its Data Lake, and is looking to provide a “partner” access to a subset of the data. In this use case, what would we need to to to achieve this goal?
Azure Data Lake Storage : Access Control Model
The first part of our puzzle is looking at the “Access Control Model“… In essence there are four ways to provide access to the data lake ;
- Shared Key ; The caller effectively gains ‘super-user’ access, meaning full access to all operations on all resources, including setting owner and changing ACLs
- SAS Tokens ; The token includes the allowed permissions as part of the token. The permissions included in the SAS token are effectively applied to all authorization decisions, but no additional ACL checks are performed.
- Azure RBAC ; Azure Role-based Access Control (RBAC) uses role assignments to effectively apply sets of permissions to users, groups, and service principals for Azure resources. Typically, those Azure resources are constrained to top-level resources (e.g., Azure Storage accounts). In the case of Azure Storage, and consequently Azure Data Lake Storage Gen2, this mechanism has been extended to the file system resource.
- ACL ; And last, but not least, we have the access control list we can apply at a more fine-grained level.
Continue reading “Azure Data Lake Storage (Gen2) : Exploring AAD B2B & ACL hardening”
Posts about security are always the ones that make everyone get really excited… Or maybe not everyone. 😉 Anyhow, what is typically the weakest link in any security design? Indeed, the human touch… The effects of this can range from having seen secrets to creating drift (unwanted changes vs de expected baseline). In today’s post, I’ll walk you through an example setup that aims to close some additional holes for you. How will we be doing this? By basically automating the entire infrastructure management with Azure Devops & Terraform. Now you’ll probably think, what does that have to do with security? Good response! We’re going to reduce the points to where human contact can interfere with our security measures. Though we want to do this without putting our agility at risk!
For this exercise, we’re going to leverage this blueprint ;
Continue reading “Landscaping a Secure/Closed Loop Infrastructure in Azure with Terraform & Azure Devops”
If you have gone through the typical authentication scenarios, then you’ve probably seen that almost every single one is calling the Graph API. Where that is already cool as such, we’re all probably more interesting in using our own APIs… Today’s post will go through the process of calling -both- the Microsoft Graph API and your own API from the same code base.
Starting Knowledge Assumption
My assumption is that you are already familiar with the basics of Oauth, where you’re aware that a Single Page Application (SPA) is using an “Implicit Grant Flow“. Also be aware that the Azure Active Directory (AAD) v1 endpoint differs from the v2 endpoint in terms of resources & scopes.
In the v1 endpoint, you would target a “resource” in order to get authorization ;
Where the v2 endpoint rotates around the usage of scopes ;
The latter indicates both the resource & the permission that is targeted…
Setup of the day
As our test bed for today, we’re having a Single Page Application that has its own “Application ID” (clientid in Oauth). Which will be linked to two backend APIs; Microsoft’s Graph API and our own
Both our APIs have a given set of scopes that indicate the permissions that a user grants towards these APIs…
Probably everyone can relate that they do not want to invest the time in something “as commodity” as authentication when developing. Though on the other hand, the “identity” part is a key part to keeping your application (and thus your organization’s data) secure. So how to find the perfect fit in terms of this balance? Leveraging identity providers is the typical path to take here. Where there are quite a few in a SaaS service model even. From the Microsoft stables, you can find both Azure Active Directory & Azure Active Directory B2C to play an important role in this space.
When looking in this space, the defacto protocol standards here are Oauth2 & OpenID Connect. Where OIDC (OpenID Connect) is actually a layer built on top of Oauth2. Anyhow, where they provide a very good / robust security layer, the flip side of the coin is that (like with any security product) there is a given entry barrier in terms of understanding the complexity it brings (in terms of authentication flows).
Continue reading “Integration MSAL (Microsoft Authentication Library) into VueJS”