Typically you notice that there are two dimensions / viewpoints when it comes to monitoring. On one side there is a team that wants to view everything related to the “infrastructure”, like for instance the kubernetes cluster. On the other hand, there is the typical application performance monitoring that starts from the application side. Sadly enough, in a lot of cases, those two are separated islands… 😦
As you might know, on the Azure front you can do Application Performance Monitoring with Application Insights and there is like a really awesome integration with Azure Monitor (“Log Analytics”) from the container space (kubernetes). Though I see you thinking it… Two separate solutions. Though, what a lot of people forget, is that they are actually using “Log Analytics” under the hood. And… That you can query across workspaces in Log Analytics! Which means that you can join the two and have an aggregated view to span both worlds.
Let’s take a look!
For this test, I’ve created a k8s cluster which is linked to a separate log analytics work-space. Where next to it, there is an application (Azure Function) inside of a docker container that is linked to Application Insights.
Continue reading “Unified monitoring view in Kubernetes : Linking infrastructure monitoring with application monitoring”
In today’s post we’ll go through the steps to get Azure Active Directory (AAD) integrated in RedHat’s OpenShift. So that we can use the AAD identity we all love in OpenShift too.
For the next steps, I’m assuming you already have an OpenShift deployment up & running. If not, check out this repository!
Continue reading “Enabling Azure Active Directory support in OpenShift (Origin)”
Todays post will be the backend tour of “Frietjes-of-Niet” (translated from Dutch : “French-Frites-or-Not?”). A big part of the mission of Azure is about democratizing technology so it becomes accessible to organizations in order for them to achieve more. AI (Artificial Intelligence) is a key part of that vision.
What will be the flow for today?
- We’ll train a model to recognize fries
- Next we’ll be exporting that model to be used as a container
- Afterwards we’ll build that container
- To end with deploying (and testing) it onto AKS
Sound cool? Let’s get to it..
Continue reading “Azure Custom Vision AI : From training to deploying the container export on the Azure Kuberenetes Service (AKS)”
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.
Before the below started, I already had the following things ready ;
Continue reading “Taking a glance at Rancher’s ability to manage the Azure Kubernetes Service (AKS)”
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!
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…
Continue reading “Replatforming Azure Functions into an Azure Functions Container”
Today the new “AKS” (Azure Kubernetes Services) was launched in preview. This is a managed container service. So where ACS used to rely on IaaS and used a set of best practices to deploy the cluster. AKS will go a step further, where it’ll managed the master nodes & provide upgrade tracks.
Let’s start with deploying an AKS cluster… Here we can select the k8s (kubernetes) version too.
Continue reading “A first glance at the preview AKS (Azure Kubernetes Service)”
When you are deploying an image, which is hosted on a private registry, to a kubernetes (k8s) cluster with windows nodes… Then you might get the following error ;
Failed to pull image “kvaes.azurecr.io/kvaes2017:v1“: rpc error: code = 2 desc = unknown blob
Error syncing pod, skipping: failed to “StartContainer” for “private-reg-container” with ErrImagePull: “rpc error: code = 2 desc = unknown blob”
So what did my setup look like?
- Orchestrator : Kubernetes for Windows (Azure Container Service)
- Registry : Private (Azure Container Registry)
- Image : Windows Nano Based
Let’s deploy two pods…
The first I’ll deploy via yaml, which is basically the example from the kubernetes docs on pulling an image from a private repo…
Now the second one is an adaptation of the example flow from the Azure Container Service documentation ;
Now let’s see how that one went…
The first one failed, and the second one passed! What was the difference?
Apparently this one forces the switch to “windows container mode” (or something like that…). As it seems very similar to the following thread…
When deploying windows containers to a kubernetes cluster. be sure to the set the “nodeSelector” or you might end up with errors on pulling the image.