This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?
This gets even more tricky when those integrations are over on-prem-only technologies, like MSMQ, that don’t integrate out-of-the-box with cloud alternatives like Azure Service Bus or Amazon SQS. Now go rewrite all your code… we’ll wait…are you done yet? It’s as if they’re saying, “Have you documented your system?
Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services.
If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code. Let’s start by considering the job of a non-ML software engineer: writing traditional software deals with well-defined, narrowly-scoped inputs, which the engineer can exhaustively and cleanly model in the code.
Despite the poor performance, working on the solution is an interesting exercise. Use the following code to create the table and populate it with a small set of sample data: DROP TABLE IF EXISTS dbo. ( ID INT NOT NULL IDENTITY ( 1 , 1 ) CONSTRAINT pk_Auctions PRIMARY KEY CLUSTERED , Code CHAR ( 1 ) NOT NULL.
This allows application code to introspect on the dynamic behavior of each data source, maintain synthetic metrics which aid the analysis, and create alerts when conditions require. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. Debugging with a Mock Environment.
This allows application code to introspect on the dynamic behavior of each data source, maintain synthetic metrics which aid the analysis, and create alerts when conditions require. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. Debugging with a Mock Environment.
In my coverage of the physical treatment of named table expressions in the series I focus on the treatment in Microsoft SQL Server and Azure SQL Database. That is, does SQL Server perform a substitution process whereby it converts the original nested code into one query that goes directly against the base tables?
In my coverage of the physical treatment of named table expressions in the series I focus on the treatment in Microsoft SQL Server and Azure SQL Database. That is, does SQL Server perform a substitution process whereby it converts the original nested code into one query that goes directly against the base tables?
Decommissioning Public102 was an exercise in the mundane, gradually transitioning tiny service after tiny service to new homes over the course of weeks, as the development schedule allowed. An IP address in a config file is still hardcoded; it's just hardcoded in XML instead of code. It's not so easy with a junk drawer server.
We developed a friendly competition to break one another’s code. We are a bit wiser (you could take that as older) now and we don’t wait until 5 o’clock but we still try everything we can think of to exercise the code. I quickly got a MacBook and started coding on OS X as well as my Linux VMs, reading articles and books.
My goal is to resolve mysteries about SQL Server I encounter but do this without going straight the source code first. Note: Be sure to set your ‘max server memory’ back to 0 when you are done with this fun exercise. I then verified my findings in the source code. First, let’s explain the mystery in more detail.
He demonstrated how a more elegant functional design—combining immutability, purity, and duality of code and data—can save larger enterprises millions of dollars, as demonstrated by his previous work at Walmart. In the first 24 hours, 1,247 defects automatically flowed from ServiceNow to Azure DevOps.
Examples of these skills are artificial intelligence (prompt engineering, GPT, and PyTorch), cloud (Amazon EC2, AWS Lambda, and Microsoft’s Azure AZ-900 certification), Rust, and MLOps. A higher completion rate could indicate that the course teaches an emerging skill that is required in industry.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content