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Azure SQL, Cloud Migration and Modernization

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  What is Azure SQL? Azure SQL is a family of managed, secure, and intelligent products that use the SQL Server database engine in the Azure cloud. Azure SQL Database: Support modern cloud applications on an intelligent, managed database service, that includes serverless compute. Azure SQL Managed Instance : Modernize your existing SQL Server applications at scale with an intelligent fully managed instance as a service, with almost 100% feature parity with the SQL Server database engine. Best for most migrations to the cloud. SQL Server on Azure VMs: Lift-and-shift your SQL Server workloads with ease and maintain 100% SQL Server compatibility and operating system-level access. Azure SQL is built upon the familiar SQL Server engine, so you can migrate applications with ease and continue to use the tools, languages, and resources you're familiar with. Your skills and experience transfer to the cloud, so you can do even more with what you already have. What do you want to do? Suppor
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Python - GUI - Tkinter(Bar & Pie Chart)

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Quickly, i just want to show you a simple example of creating bar and pie chart with Tkinter . Try this simple example: import tkinter as tk root = tk.Tk() root.title("Tkinter Bar and Pie Graph") #here is for bar chart............ tk.Label(root, text='Bar Chart').pack() data = [21, 20, 19, 16, 14, 13, 11, 9, 4, 3] c_width = 400 c_height = 350 c = tk.Canvas(root, width=c_width, height=c_height, bg= 'white') c.pack() #experiment with the variables below size to fit your needs y_stretch = 15 y_gap = 20 x_stretch = 10 x_width = 20
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Bringing Kubernetes to Windows Server apps(Google Cloud Platform)

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Firstly, before we begin. For those that don't already know. What is Google Kubernetes Engine ?: GKE is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services. Leverage industry-first features like four-way auto-scaling and no-stress management. Optimize GPU and TPU provisioning, use integrated developer tools, and get multi-cluster support from SREs. Now that we know GKE, the purpose of this post is about running Windows Server apps as containers on Kubernetes, where you get many of the benefits that Linux applications have enjoyed for years. Running your Windows Server containers on GKE can also save you on licensing costs, as you can pack many Windows Server containers on each Windows node. In the beta release of Windows Server container support in GKE (version 1.16
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