Mysterious Nightly CPU Spikes on App Service Plans (22:00-10:00) Despite Low Traffic
For several months now, all of our Azure App Service Plans have been experiencing consistent CPU spikes during off-peak hours, specifically from approximately 22:00 PM to 10:00 AM. This pattern is particularly puzzling because: This timeframe corresponds to our lowest traffic and activity periods We've conducted thorough investigations but haven't identified the root cause No scheduled timer functions or planned jobs are running during these hours that could explain the spikes What we've already checked: Application logs and metrics Scheduled functions and background jobs Traffic patterns and user activity Has anyone encountered similar behavior? What could be causing these nightly CPU spikes on otherwise idle App Service Plans?How to deploy n8n on Azure App Service and leverage the benefits provided by Azure.
Lately, n8n has been gaining serious traction in the automation world—and it’s easy to see why. With its open-source core, visual workflow builder, and endless integration capabilities, it has become a favorite for developers and tech teams looking to automate processes without being locked into a single vendor. Given all the buzz, I thought it would be the perfect time to share a practical way to run n8n on Microsoft Azure using App Service. Why? Because Azure offers a solid, scalable, and secure platform that makes deployment easy, while still giving you full control over your container and configurations. Whether you're building a quick demo or setting up a production-ready instance, Azure App Service brings a lot of advantages to the table—like simplified scaling, integrated monitoring, built-in security features, and seamless CI/CD support. In this post, I’ll walk you through how to get your own n8n instance up and running on Azure—from creating the resource group to setting up environment variables and deploying the container. If you're into low-code automation and cloud-native solutions, this is a great way to combine both worlds. The first step is to create our Resource Group (RG); in my case, I will name it "n8n-rg". Now we proceed to create the App Service. At this point, it's important to select the appropriate configuration depending on your needs—for example, whether or not you want to include a database. If you choose to include one, Azure will handle the connections for you, and you can select from various types. In my case, I will proceed without a database. Proceed to configure the instance details. First, select the instance name, the 'Publish' option, and the 'Operating System'. In this case, it is important to choose 'Publish: Container', set the operating system to Linux, and most importantly select the region closest to you or your clients. Service Plan configuration. Here, you should select the plan based on your specific needs. Keep in mind that we are using a PaaS offering, which means that underlying compute resources like CPU and RAM are still being utilized. Depending on the expected workload, you can choose the most appropriate plan. Secondly—and very importantly—consider the features offered by each tier, such as redundancy, backup, autoscaling, custom domains, etc. In my case, I will use the Basic B1 plan. In the Database section, we do not select any option. Remember that this will depend on your specific requirements. In the Container section, under 'Image Source', select 'Other container registries'. For production environments, I recommend using Azure Container Registry (ACR) and pulling the n8n image from there. Now we will configure the Docker Hub options. This step is related to the previous one, as the available options vary depending on the image source. In our case, we will use the public n8n image from Docker Hub, so we select 'Public' and proceed to fill in the required fields: the first being the server, and the second the image name. This step is very important—use the exact same values to avoid issues. In the Networking section, we will select the values as shown in the image. This configuration will depend on your specific use case—particularly whether to enable Virtual Network (VNet) integration or not. VNet integration is typically used when the App Service needs to securely communicate with private resources (such as databases, APIs, or services) that reside within an Azure Virtual Network. Since this is a demo environment, we will leave the default settings without enabling VNet integration. In the 'Monitoring and Security' section, it is essential to enable these features to ensure traceability, observability, and additional security layers. This is considered a minimum requirement in production environments. At the very least, make sure to enable Application Insights by selecting 'Yes'. Finally, click on 'Create' and wait for the deployment process to complete. Now we will 'stop' our Web App, as we need to make some preliminary modifications. To do this, go to the main overview page of the Web App and click on 'Stop'. In the same Web App overview page, navigate through the left-hand panel to the 'Settings' section. Once there, click on it and select 'Environment Variables'. Environment variables are key-value pairs used to configure the behavior of your application without changing the source code. In the case of n8n, they are essential for defining authentication, webhook behavior, port configuration, timezone settings, and more. Environment variables within Azure specifically in Web Apps function the same way as they do outside of Azure. They allow you to configure your application's behavior without modifying the source code. In this case, we will add the following variables required for n8n to operate properly. Note: The variable APP_SERVICE_STORAGE should only be modified by setting it to true. Once the environment variables have been added, proceed to save them by clicking 'Apply' and confirming the changes. A confirmation dialog will appear to finalize the operation. Restart the Web App. This second startup may take longer than usual, typically around 5 to 7 minutes, as the environment initializes with the new configuration. Now, as we can see, the application has loaded successfully, and we can start using our own n8n server hosted on Azure. As you can observe, it references the host configured in the App Service. I hope you found this guide helpful and that it serves as a useful resource for deploying n8n on Azure App Service. If you have any questions or need further clarification, feel free to reach out—I'd be happy to help.
Scaling Smart with Azure: Architecture That Works
Hi Tech Community! I’m Zainab, currently based in Abu Dhabi and serving as Vice President of Finance & HR at Hoddz Trends LLC a global tech solutions company headquartered in Arkansas, USA. While I lead on strategy, people, and financials, I also roll up my sleeves when it comes to tech innovation. In this discussion, I want to explore the real-world challenges of scaling systems with Microsoft Azure. From choosing the right architecture to optimizing performance and cost, I’ll be sharing insights drawn from experience and I’d love to hear yours too. Whether you're building from scratch, migrating legacy systems, or refining deployments, let’s talk about what actually works.
Azure support team not responding to support request
I am posting here because I have not received a response to my support request despite my plan stating that I should hear back within 8 hours. It has now gone a day beyond that limit, and I am still waiting for assistance with this urgent matter. This issue is critical for my operations, and the delay is unacceptable. The ticket/reference number for my original support request was 2410100040000309. And I have created a brand new service request with ID 2412160040010160. I need this addressed immediately.
Error Running Script in Runbook with System Assigned Managed Identity
Hello everyone, I could use some assistance, please. I'm encountering an error when trying to run a script within a runbook. I'm using PowerShell 5.1 with a system-assigned managed identity. The script works find without using the managed identiy via powershell outside of azure. Error: System.Management.Automation.ParameterBindingException: Cannot process command because of one or more missing mandatory parameters: Credential. at System.Management.Automation.CmdletParameterBinderController.PromptForMissingMandatoryParameters(Collection1 fieldDescriptionList, Collection1 missingMandatoryParameters) at System.Management.Automation.CmdletParameterBinderController.HandleUnboundMandatoryParameters I am using this script Connect-ExchangeOnline -ManagedIdentity -Organization domain removed for privacy reasons # Specify the user's mailbox identity $mailboxIdentity = "email address removed for privacy reasons" # Get mailbox configuration and statistics for the specified mailbox $mailboxConfig = Get-Mailbox -Identity $mailboxIdentity $mailboxStats = Get-MailboxStatistics -Identity $mailboxIdentity # Check if TotalItemSize and ProhibitSendQuota are not null and extract the sizes if ($mailboxStats.TotalItemSize -and $mailboxConfig.ProhibitSendQuota) { $totalSizeBytes = $mailboxStats.TotalItemSize.Value.ToString().Split("(")[1].Split(" ")[0].Replace(",", "") -as [double] $prohibitQuotaBytes = $mailboxConfig.ProhibitSendQuota.ToString().Split("(")[1].Split(" ")[0].Replace(",", "") -as [double] # Convert sizes from bytes to gigabytes $totalMailboxSize = $totalSizeBytes / 1GB $mailboxWarningQuota = $prohibitQuotaBytes / 1GB # Check if the mailbox size exceeds 90% of the warning quota if ($totalMailboxSize -ge ($mailboxWarningQuota * 0.0)) { # Send an email notification $emailBody = "The mailbox $($mailboxIdentity) has reached $($totalMailboxSize) GB, which exceeds 90% of the warning quota." Send-MailMessage -To "email address removed for privacy reasons" -From "email address removed for privacy reasons" -Subject "Mailbox Size Warning" -Body $emailBody -SmtpServer "smtp.office365.com" -Port 587 -UseSsl -Credential (Get-Credential) } } else { Write-Host "The required values(TotalItemSize or ProhibitSendQuota) are not available." }
Azure Form Recognizer Redaction Issue with Scanned PDFs and Page Size Variations
Hi all, I’m working on a PDF redaction process using Azure Form Recognizer and Azure Functions. The flow works well in most cases — I extract the text and bounding box coordinates and apply redaction based on that. However, I’m facing an issue with scanned PDFs or PDFs with slightly different page sizes. In these cases, the redaction boxes don’t align properly — they either miss the text or appear slightly off (above or below the intended area). It seems like the coordinate mapping doesn't match accurately when the document isn't a standard A4 size or has DPI inconsistencies. Has anyone else encountered this? Any suggestions on: Adjusting for page size or DPI dynamically? Mapping normalized coordinates correctly for scanned PDFs? Appreciate any help or suggestions!
🚀 Azure Application Gateway: Smart Load Balancing & Security
Ensuring high availability and efficient load balancing is crucial for web applications. Azure offers several traffic management solutions, including Application Gateway, Front Door, Load Balancer, and Traffic Manager. Today, let's focus on why Application Gateway stands out as a powerful tool for managing web traffic. 🚀 Why we should use Azure Application Gateway? 🔹 Layer 7 Load Balancing: Unlike Layer 3 or 4 solutions, Application Gateway makes intelligent routing decisions based on HTTP request properties. For example, requests to /images/ can be directed to dedicated image servers, while /videos/ traffic is routed to specialized video servers. 🔹 SSL/TLS Termination (Offloading): Reduces processing load on backend servers by decrypting traffic at the gateway before forwarding it unencrypted. Note: This might conflict with compliance requirements, so verify your app’s security needs !! 🔹 Autoscaling: Dynamically scales up or down based on traffic patterns, ensuring cost-effective resource utilization. 🔹 Zone Redundancy: Operates across multiple Availability Zones, enhancing fault tolerance without needing separate gateways in each zone. 🔹 Web Application Firewall (WAF): Provides centralized security against common exploits like SQL injection and cross-site scripting (XSS). Built on OWASP 3.1 (WAF_v2), it can function in Detection Mode (alerting admins) or Prevention Mode (blocking threats proactively). 🔹 URL-Based Routing: Enables smart traffic distribution by directing different types of content to the most appropriate backend pools. Example: http://contoso.com/video/* → VideoServerPool 🔹 Multiple-Site Hosting: Hosts multiple web applications on a single gateway, routing requests based on hostname or domain. Example: http://contoso.com → ContosoServerPool 🔹 Redirection & Rewrite Capabilities: ✔ Redirect HTTP → HTTPS to enforce encrypted traffic. ✔ Rewrite HTTP headers & URLs to enhance security (e.g., add HSTS or remove sensitive response headers). 🔹 Cookie-Based Session Affinity: Ensures users maintain session continuity by always connecting to the same backend server. Useful when session state is stored locally. ⚙️ How to Deploy & Configure Azure Application Gateway ⚙️ ✅ Dedicated Subnet: Create a subnet (e.g., myAGSubnet) within a Virtual Network. ✅ Frontend IP: Define whether to use a public or private IP or both (If you configured multiple listeners) to receive client requests. ✅ Backend Pool: Assign backend servers via NICs, Virtual Machine Scale Sets, public/internal IPs, or FQDNs. ✅ HTTP/HTTPS Listener: Specify which port (e.g., 80, 443) will handle incoming requests. ✅ Routing Rules: Set up domain-based (host-based routing) or path-based routing logic. 🔹 Host-Based Routing means routing traffic based on the hostname in the HTTP request header 🔹 Path-based Routing allows you to direct traffic to different backend pools based on the URL path in the request. ✅ Health Probes: Ensure backend servers are online using TCP or HTTP-based monitoring.Azure app service getting restarted abruptly
I have an Azure app service with app service plan P1mv3 : 1. We have deployed the .net 8 web api project which has a background service as well. Background service does below things - Get the journal data from one of our on-premises endpoint for 1700 journals. Generate the embeddings for all the journal names in the batches of 100 with a delay of 5 seconds after each batch using Azure open AI. We use these embeddings for vector search in cosmos db to better search by journal title. Delete all the records from existing cosmos DB container in the batches of 100 with a delay of 5 seconds after each batch. We do this as we need to insert the fresh data each week. Insert all the records with embeddings generated in step-2 in cosmos DB container in the batches of 100 with a delay of 10 seconds after each batch. The problem is once we deploy this to app service after verifying that everything works fine on local system, the app service just generates 800/1000 out of 1700 embeddings and just restarts. We can see the logs as "Hosting environment: Production", "Content root path: c:\home\site\wwwroot" etc after our custom logs depicting the progress to generate the embeddings. e.g. Progress: 1000/1700 items embedding results generated.Mastering Azure Cost Management: Essential Tools for Cloud Financial Control in 2025
In today's cloud-first world, effective cost management isn't just about saving money—it's about strategic resource allocation that drives business value. Azure Cost Management provides powerful tools to monitor, analyze, and optimize your cloud spending, ensuring you get maximum ROI from your Microsoft Azure investments. Understanding Azure Cost Management Azure Cost Management is a free suite of tools that provides comprehensive visibility into your cloud spending patterns[7]. It helps you track resource usage, set budgets, and forecast future expenses with precision. This isn't just about cutting costs; it's about smart spending and strategic resource allocation that can give your organization a competitive edge. The platform offers detailed breakdowns of your expenses across various services and resources, allowing you to identify optimization opportunities and make informed decisions about your cloud infrastructure[9]. Key Features That Drive Value Cost Analysis: Your Financial Dashboard The Cost Analysis section provides detailed insights into your Azure spending patterns[2]. This interactive tool allows you to: - View cost trends by day, week, month, or custom time periods - Identify spending patterns and understand cost fluctuations - Detect anomalies or unexpected spikes in your Azure costs For optimal visibility, configure your cost analysis with **Daily** time granularity and **Resource** grouping. This combination provides the most detailed view of your cloud spending, allowing you to identify specific resources driving your costs and make informed decisions about their value. Budgets and Alerts: Stay Ahead of Spending Setting up budgets should be one of your first actions when establishing a new Azure subscription[2]. The Budgets feature allows you to: - Create and manage spending thresholds - Receive email alerts when costs approach budget limits - Get notifications when forecasted spending indicates potential overages This proactive approach helps prevent unexpected charges and enables timely intervention before costs escalate. Advisor Recommendations: Expert Optimization Guidance Azure Cost Management integrates with Azure Advisor to provide personalized cost optimization recommendations[2], such as: - Resizing or shutting down underutilized resources - Leveraging reserved instances for consistent workloads - Modifying service configurations for better cost efficiency As a best practice, regularly check these recommendations to identify new optimization opportunities. What's New in 2025 Microsoft continues to enhance the Cost Management platform with new features. Recent updates include: - New fields for cost allocation for Enterprise Agreement customers[5] - Copilot nudges for proactive cost optimization[5][12] - Introduction of an open data billing format[5] - AI-enhanced cost insights and automation[1] - Improved cost allocation with tag inheritance[1] - Sustainable cloud operations with the Azure Carbon Optimization tool[1] - Expansion of savings plans and reservation models[1] Best Practices for Azure Cost Optimization 1. Right size Your Resources Monitor utilization patterns and adjust your VM sizes based on actual requirements rather than theoretical maximums[3]. Downsizing overprovisioned VMs is one of the most effective ways to reduce Azure expenses[1]. 2. Implement Autoscaling Solutions Autoscaling adjusts the number of compute resources in response to load, maintaining performance without over-provisioning[1]. It ensures only necessary resources are active, directly reducing operational costs. 3. Leverage Azure Reservations and Savings Plans Azure Reservations and Savings Plans offer reduced pricing for predictable workloads by committing to longer terms[1]. They provide substantial savings compared to pay-as-you-go rates and are suitable for workloads with stable requirements. 4. Use Azure Hybrid Benefit Azure Hybrid Benefit allows users to bring their existing on-premise Windows Server and SQL Server licenses to Azure, reducing licensing costs[1]. This is particularly beneficial for enterprises transitioning to hybrid cloud environments. 5. Implement Resource Tagging Use resource tags to categorize your Azure resources according to your organizational structure[2]. This enables precise cost allocation and helps teams understand their cloud spending, fostering accountability across departments and projects. Benefits of Effective Cost Management Organizations that master Azure Cost Management experience several key benefits[10]: - Transparency: Clear visibility into cloud spending enables informed decision-making - Automation: Streamlined financial operations with reduced manual interventions - Budgeting and Forecasting: Accurate planning of cloud expenses prevents surprises - Cost Allocation: Proper distribution of costs to specific departments ensures accountability -Optimization Recommendations: Actionable insights to reduce costs by identifying underutilized resources Conclusion As cloud adoption accelerates, mastering Azure Cost Management becomes increasingly critical for organizational success. By leveraging these tools and following best practices, you can transform your Azure strategy from a financial burden to a catalyst for growth and innovation. Remember that effective cost management isn't just about reducing expenses—it's about maximizing the value of every dollar spent in the cloud, ensuring your Azure investments align perfectly with your business objectives.
