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Efficient SLO event integration powers successful AIOps

Dynatrace

In other words, where the application code resides. However, it’s essential to exercise caution: Limit the quantity of SLOs while ensuring they are well-defined and aligned with business and functional objectives. Contact Sales The post Efficient SLO event integration powers successful AIOps appeared first on Dynatrace news.

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Manage your monitoring as code with Dynatrace’s HashiCorp Terraform integration

Dynatrace

HashiCorp’s Terraform is an open-source infrastructure as a code software tool that provides a consistent CLI workflow to manage hundreds of cloud services. With this integration, Dynatrace customers can now leverage Terraform to manage their monitoring infrastructure as code,” said Asad Ali, Senior Director of Sales Engineering at Dynatrace.

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Defining Regression Checks – Why, When & its Best Practices

Testsigma

Regression testing comprises re-running the test cases of already stable features and finding out if the new code changes attributed to the new release led to any negative impacts on the existing functionalities. Regression checks should start as soon as a new build is released for testing and should be repeated for every new code build.

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Service level objectives: 5 SLOs to get started

Dynatrace

More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. Thus, an ApDex score of 0.85

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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. or above for the checkout process.

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Fundamentals of table expressions, Part 3 – Derived tables, optimization considerations

SQL Performance

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? The answer is simple, to shorten the code by having the inner query use the infamous SELECT *. And if so, is there a way to instruct SQL Server to avoid this unnesting process?

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Fundamentals of table expressions, Part 3 ? Derived tables, optimization considerations

SQL Performance

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? The answer is simple, to shorten the code by having the inner query use the infamous SELECT *. And if so, is there a way to instruct SQL Server to avoid this unnesting process?

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