Microsoft Azure Hub-Spoke model by Enterprise Design 1 of 4
Microsoft Virtual Datacenter Transition to Azure (Hybrid Cloud) Microsoft Azure Hub-Spoke Architecture This Enterprise reference architecture shows how to implement a hub-spoke topology in Azure. The hub is a virtual network (VNet) in Azure that acts as a central point of connectivity to your on-premises network. The spokes are VNets that peer with the hub, and can be used to isolate workloads. Traffic flows between the on-premises datacenter and the hub through an ExpressRoute or VPN gateway connection. Read the complete Blogpost Journey to the Azure Cloud hereAzure application gateway accesslogs query - Timetaken
I have all my Application Gateway logs going to a Log Analytics workspace. I want to query this data to show any URIs with latency and period of the site responses from backend pools. Can someone point me in the right direction of how to query this? Thanks Darwin Vinoth
Microsoft Azure Master Program
https://www.azuremaster.in/ The World Today is Cloud Ready, Are You? 4 reasons to join the Microsoft Azure Master Program: Learn with on-demand and instructor-led trainings; Become a cloud computing master with Microsoft Azure Certifications; Engage with your peers from the IT ecosystem from across the globe; and Get recognized as a Microsoft Azure Master. Start your cloud journey with Microsoft Azure today! https://www.azuremaster.in/registerMicrosoft Azure virtual datacenter HUB-Spoke Model: From a Network Perspective
Microsoft Azure Hub-Spoke Model When you have your Microsoft Azure Architectural Design in place like a HUB-Spoke model this Microsoft documentation can help you with the Security and networking design in Microsoft Azure Cloud services. The Virtual Data Center (VDC) isn’t just the application workloads in the cloud. It’s also the network, security, management, and infrastructure. Examples are DNS and directory services. It usually provides a private connection back to an on-premises network or datacenter. As more and more workloads move to Azure, it’s important to think about the supporting infrastructure and objects that these workloads are placed in. Think carefully about how resources are structured to avoid the proliferation of hundreds of workload islands that must be managed separately with independent data flow, security models, and compliance challenges. Read the complete blogpost with tips about Azure Security and Networking here
Problem with Azure Storage Account (Used Capacity) Metrics
I have a bit of an odd issue in that when looking at the used Capacity metrics on my storage account it shows a wildly different amount from what is actually in use. We have had a storage account throttled as the capacity went over the maximum capacity of a storage account which we missed due to the Metric being incorrect. This is storage account hosts multiple unmanaged VHDs configured as Premium SSD disk. Is there a known issue or a suggested way to work around this ? Where could I pull an accurate metric for the actual used amount of storage on the storage account? Am I just missing something here, is there another Metric I should be looking at that might not be available via the GUI ?Azure REST API - $filter param for time delta throws ProviderError
Hello All, We are facing issues with the Azure API endpoint for fetching security alerts based on given time filter. https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.microsoft.com%2Fen-us%2Frest%2Fapi%2Fsecuritycenter%2Falerts%2Flistbyresourcegroup%23code-try-0&data=02%7C01%7Cannishprashan.stevi%40hcl.com%7Ce89ea1593b4247b8b13f08d70530766b%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C636983578009379205&sdata=JavMX5P2vJPhQ5ERafc4kC5gxELv%2FEjtulWo%2B84xhIQ%3D&reserved=0 and screenshot for the API section, We encountered the following error while hitting the endpoint with the required params and Bearer access token. Error Details: { "error": { "code": "ProviderError", "message": "Resource provider 'Microsoft.Security' failed to return collection response for type 'alerts'." } } Endpoint URL: https://management.azure.com/subscriptions/{subscription-id}/resourceGroups/{ResourceGroup}/providers/Microsoft.Security/alerts?api-version={version}}&$filter=properties.reportedTimeUtc eq '2019-07-06T08:00:51.8801218Z' NOTE: The URL gives response without specifying the time “filter” , but when using filter as one of the params, we get the above mentioned error. The param value used: $filter = properties.reportedTimeUtc eq '2019-07-06T08:00:51.8801218Z' Could anyone help in the resolution of this issue? Let me know for any additional details/clarifications. Thank You.Azure ML Experimentation
Hi - I have created a Machine Learning Expirementation account on Azure, which I now wish to cancel. When I do so, it tells me that I cannot delete the resource until all nested resources are deleted. I have already deleted the storage account, all that is left is the workspace, which does not have an option to delete. Any Suggestions?Microsoft Azure Monitor and Service Map Insights workbooks (Preview)
Azure Monitor for VMs monitors your Azure virtual machines (VM) and virtual machine scale sets at scale. The service analyzes the performance and health of your Windows and Linux VMs, monitoring their processes and their dependencies on other resources and external processes. As a solution, Azure Monitor for VMs includes support for monitoring performance and application dependencies for VMs that are hosted on-premises or in another cloud provider. Three key features deliver in-depth insight: Logical components of Azure VMs that run Windows and Linux: Are measured against pre-configured health criteria, and they alert you when the evaluated condition is met. Pre-defined, trending performance charts: Display core performance metrics from the guest VM operating system. Dependency map: Displays the interconnected components with the VM from various resource groups and subscriptions. The features are organized into three perspectives: Health Performance Map Here we have a look at Azure Monitor Service map of my local machine : Here in the Event you see two Configuration Changes. What is awesome to see, when you double click on the link marked with a arrow, then It will start log analytics with the right query to see what those changes are ;-) Read More about Azure Monitor and Service Maps Insights Workbooks here Conclusion : To stay in Control of your Hybrid Cloud Infrastructure you have to Monitor your environment. Microsoft Azure Monitor supports you in Monitoring your workloads in the Cloud on Azure but also on-premises. Azure Monitor makes Awesome features to make your live as an Administrator more Comfortable and keeps you in Control :-)Real-time data analytics and Azure Data Lake Storage Gen2
It’s been a little more than two months since we launched Azure Data Lake Storage Gen2, we’re thrilled and overwhelmed by the response we’ve received from customers and partners alike. We built Azure Data Lake Storage to deliver a no-compromises data lake and the high level of customer engagement in Gen 2’s public preview confirms our approach. We have heard from customers both large and small and across a broad range of markets and industries that Gen2’s ability to provide object storage scale and cost effectiveness with a world class data lake experience is exceeding their expectations and we couldn’t be happier to hear it! In fact we are actively partnering with leading ISV’s across the big data spectrum of platform providers, data movement and ETL, governance and data lifecycle management (DLM), analysis, presentation, and beyond to ensure seamless integration between Gen2 and their solutions. Over the next few months you will hear more about the exciting work these partners are doing with ADLS Gen2. We’ll do blog posts, events, and webinars that highlight these industry-leading solutions. In fact, we are happy to announce our first joint Gen2 engineering-ISV webinar with Attunity on September 18th, Real-time Big Data Analytics in the Cloud 101: Expert Advice from the Attunity and Azure Data Lake Storage Gen2 Teams. Learn more about it in the Azure blog.
