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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

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?

Azure 246
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What they don't tell you about migrating a message-based system to the cloud

Particular Software

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?

Cloud 126
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What is APM?

Dynatrace

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.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

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.

DevOps 145
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Matching Supply With Demand — Solutions, Part 1

SQL Performance

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.

Code 116
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

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.

Cloud 52
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

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.

Cloud 52