Kubernetes production clusters are typically run on cloud platforms. However, running and deploying Kubernetes applications on cloud platforms such as Google Kubernetes Engine is costly. These high costs can restrict the Kubernetes learning process for beginners. However, running Kubernetes clusters locally helps you efficiently test applications without disrupting the production environment or paying for cloud services.
2022-06-22
In this article we discuss deploying SQL Server containers / images using Azure Kubernetes Cluster.
2021-04-01
Since SQL Server is supported in containers, you can now run a SQL Server instance in your macOS without dual-booting or running a virtual machine. In this article of the series, Carlos Robles demonstrates how to connect to the SQL Server once it’s running.
2020-07-13
Carlos Robles explains how to use Azure Data Studio Notebooks to create SQL containers with Python.
2020-03-24
2,730 reads
There are multiple ways to interact with the Docker daemon, as command line client API or GUI based tools like Kitematic. Docker also provides a SDK for Go and Python, this SDK can be used to create and manage Docker containers the same way it works with the Docker engine API.
2019-09-16 (first published: 2019-09-10)
1,841 reads
There are multiple ways to interact with the Docke...
2019-06-13
4,285 reads
In this article you will learn how to create and use alias commands for Docker, to make Docker's command line experience easier and more productive.
2019-05-20
20,313 reads
By Vinay Thakur
As this is an Artificial Intelligence (AI) World, things are changing. We can see that...
In a containerized app, React and Chakra UI provide a robust and accessible user...
By Steve Jones
nachlophobia – n. the fear that your deepest connections with people are ultimately pretty...
Hello I need help identifying all records that have consecutive hours (time in order)...
hi, I have a table called Rules Create table Rules ( Id int ,...
I am currently upgrading a very old database running SQL Server 2008 to SQL...
What is returned from this query?
SELECT
( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
WHERE soh.OrderDate >= '01/01/2011' AND soh.OrderDate < '01/01/2012') AS OrdersIn2011
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
WHERE soh.OrderDate >= '01/01/2012' AND soh.OrderDate < '01/01/2013') AS OrdersIn2012
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
WHERE soh.OrderDate >= '01/01/2013' AND soh.OrderDate < '01/01/2014') AS OrdersIn2013; See possible answers