Uplatz’s Post

🚀 In today’s data-driven world, mastering secure and efficient access to Azure Storage is crucial for every data engineer. My latest in-depth blog explores three methods to access Azure Storage Accounts🔐 — Access Keys, SAS Tokens, and Service Principals with RBAC. Discover how to: ✨ Optimize security with fine-grained controls ✨ Use real-world examples to enhance your cloud architecture ✨ Apply the best techniques for enterprise-grade environments Ready to dive deep into Azure storage access methods? Click the link below to learn more and level up your data management game! 👇 https://lnkd.in/gW9-WMbA Cittabase Solutions #ADLS #AzureBestPractice #CloudSecurity #DataEngineering

⭐ Here are 10 AZ-104 Microsoft Azure Administrator practice exam questions to help you gauge your readiness for the actual exam. 👉 https://lnkd.in/gfyKtMYx #azure #microsoftazure

Optimize File Storage with Komprise Intelligent Tiering for Microsoft #Azure. Use the #Cloud to Cut File Data Costs: Comparison of Alternatives https://lnkd.in/gGyrsYxg #datamanagement

Optimize Cost and Utilize Azure Storage with Claim Check Pattern! Following up on our previous discussion about the Claim Check Pattern, let's explore a practical scenario where this pattern can be a game-changer when working with Azure subscriptions. Azure Subscription Types: In Azure, there are different subscription types available, such as Standard and Premium. Each subscription has its limitations and pricing options. For example: ✅ Standard Subscription: Allows file sizes up to 512KB at a more affordable cost. ✅ Premium Subscription: Supports larger file sizes, like 1.6GB( this is the size which I have tested , not sure what's the exact limit), but at a higher price point. I have explained only about the Basic subscriptions only (if you want , i can explain about it more in the upcoming posts). Scenario: Cost-Effective File Transfers Suppose you're working on a data integration project and need to transfer files between systems. The Claim Check Pattern can help you optimize costs by leveraging Azure Storage. 1️⃣ Evaluate File Size: Determine the size of the file you need to transfer. Let's say the file exceeds the 512KB limit of the Standard Subscription. 2️⃣ Claim Check Pattern Implementation: Apply the Claim Check Pattern to offload the file to Azure Storage instead of sending it directly in the message payload. 3️⃣ Payload Transformation: Modify the message to include a lightweight reference or identifier pointing to the file stored in Azure Storage. 4️⃣ Seamless Integration: The receiving system retrieves the file from Azure Storage using the provided reference, enabling smooth data processing. Benefits of Using Claim Check Pattern with Azure: 1️⃣ Cost Optimization: By utilizing the Standard Subscription for smaller payloads and leveraging Azure Storage for larger files, you can optimize your Azure costs. 2️⃣ Efficient Data Transfer: Smaller message payloads result in improved network performance and faster processing. 3️⃣ Flexibility and Scalability: Azure Storage offers scalability and flexibility to handle large file volumes efficiently. 4️⃣ Seamless Integration: Claim Check Pattern allows you to seamlessly integrate data transfers, regardless of file size, while adhering to subscription limits. Real-Life Ex: A logistics company needed to transfer shipment data between systems in Azure. By implementing the Claim Check Pattern, they stored large files exceeding the Standard Subscription limit in Azure Storage. This approach allowed them to optimize costs, maintain efficient transfers, and seamlessly integrate with Azure services. Leverage the Claim Check Pattern in Azure to optimize costs, improve data transfers, and seamlessly integrate with Azure Storage. By utilizing the right subscription options and harnessing the capabilities of Azure services, you can achieve efficient and cost-effective data integration. #AzureIntegration #ClaimCheckPattern #AzureStorage #DataTransfer #Efficiency #SeamlessIntegration #cloud #sap

Great new feature for Azure Storage Accounts now in preview: https://lnkd.in/eRhcsFqv #azure #storage

Great DB performance with resiliency - Azure SQL DB provides you all.

#DP-203 #Azure #cloudcomputing #Microsoft Let us talk about ☀️Azure Storage Account Services !!! An Azure Storage Account is a fundamental resource in Microsoft Azure that provides access to Azure Storage services. It serves as a container that groups a set of Azure Storage services and allows you to manage these resources collectively. An Azure Storage Account enables you to store large amounts of data in the cloud, which can be accessed and managed securely. ☀️Azure Storage Services: 🌟 Azure Blob Storage: Object storage solution for handling large amounts of unstructured data such as text and binary data. 🌟 Azure Disk Storage: High-performance managed disks for Azure virtual machines. 🌟 Azure File Storage: Fully managed file shares accessible via the Server Message Block (SMB) protocol. 🌟 Azure Data Lake Storage: Scalable and secure data lake for big data analytics workloads. 🌟 Queue Storage: Designed for storing large numbers of messages that can be accessed from anywhere in the world via authenticated calls using HTTP or HTTPS. 🌟 Table Storage: Offers NoSQL key-value storage for rapid development using massive amounts of structured data. ☀️Creating a Storage Account When creating a storage account in Azure, several key attributes are required: 🌥️Subscription: A billing entity for the Azure services you use. 🌥️Resource Group: A container that holds related resources for an Azure solution. 🌥️Region: The geographical location where your resources will be hosted. 🌥️Storage Account Name: A unique name within Azure for your storage account. All data stored in the storage account is highly secure, benefiting from Azure's robust security features. ☀️Access Tiers Azure provides 3 types of tiers to help manage and optimize costs based on the frequency of access to the data: 🔥Hot: Optimized for data that is accessed frequently. Example: website Images ❄️Cool: Designed for data that is infrequently accessed and stored for at least 30 days. Example: Invoice/Bills 💾Archive: Suitable for data that is rarely accessed and stored for at least 180 days with flexible latency requirements. Example: legal & Historical Documents ☀️Data Protection and Encryption Azure employs encryption to secure data both at rest and in transit: ⛅️At Rest: Data is encrypted when it is stored. ⛅️In Transit: Data is encrypted while it is being transferred. ☀️Lifecycle management: Lifecycle management in the AZ portal allows users to manage and schedule the transition of data between the tiers or to delete files, ensuring cost-effective storage management. This helps optimize costs and manage data efficiently without manual intervention. Additionally, Azure enhances data protection through the soft delete option, enabling users to delete or restore blob files within set intervals, thereby preventing accidental data loss. Stay tuned for more learning !!! #dataengineering #dataanalytics #businessintelligence #BigData #knowledgecheck

Recovering a Corrupted VM in Azure: A comprehensive guide from my experience. In cloud computing, maintaining virtual machines (VMs) is crucial, but issues like disk corruption can arise unexpectedly. Here’s a guide to recover a corrupted VM disk in Azure, ensuring minimal downtime and data loss. Step 1: Identify and Isolate the Issue 1. Check System Logs: Access the Azure portal and navigate to the affected VM. Review boot diagnostics and serial console logs for disk corruption error messages. Utilize Azure Monitor and Log Analytics for detailed logs. 2. Isolate the Corrupted Disk: Deallocate the VM: az vm deallocate --resource-group MyResourceGroup --name MyVM Detach the corrupted disk: az vm disk detach --resource-group MyResourceGroup --vm-name MyVM --name MyDisk Step 2: Attempt Recovery 3. Attach the Disk to a Recovery VM: Use a healthy VM in the same region and attach the corrupted disk as a data disk: az vm disk attach --resource-group MyResourceGroup --vm-name RecoveryVM --name MyDisk --new 4. Run File System Check and Repair Tools: SSH into the recovery VM and identify the attached disk (e.g., /dev/sdc). Attempt to repair the file system: For ext4: sudo fsck /dev/sdc1 For XFS: sudo xfs_repair /dev/sdc1 If the file system cannot be repaired, mount it in read-only mode to recover data: sudo mount -o ro /dev/sdc1 /mnt/recovery Copy accessible data to a safe location. Step 3: Restore from Backup 5. Restore from the Latest Backup: If the disk cannot be repaired, restore from backups using Azure Backup or other solutions. 6. Recreate the VM: Create a new VM if necessary and attach a new disk. Restore data to the new VM: az vm create --resource-group MyResourceGroup --name NewVM --image UbuntuLTS --size Standard_DS1_v2 az vm disk attach --resource-group MyResourceGroup --vm-name NewVM --disk NewDisk --new Balancing Active Work on Azure Portal The role of a cloud engineer or architect involves balancing hands-on work in the Azure portal with strategic activities. Here’s a typical breakdown of time allocation: Active Portal Work (40-60%) Managing Resources: Creating, configuring, and managing Azure resources like VMs, databases, and networks. Monitoring: Utilizing Azure Monitor and Log Analytics to track resource performance and health. Setting up alerts and dashboards. Troubleshooting: Investigating and resolving issues with Azure resources. Analyzing logs and performance metrics. Configuration Tasks: Implementing infrastructure as code using tools like Azure Resource Manager (ARM) templates, Terraform, or Azure DevOps. Configuring security settings and network rules. Documentation: Creating and updating documentation for deployments, configurations, and procedures. Writing runbooks and guides. Share your experiences and tips on handling VM disk corruption and balancing your workload in the comments below! #CloudComputing #Azure #VirtualMachines #ITRecovery #TechManagement #AzurePortal #CloudStrategy