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Cloud Automation workshop roadshow: Kick-off

Dynatrace

Three years ago, I toured through the US, Europe, and Asia giving hands-on training sessions on what I then called the “Unbreakable Delivery Pipeline Tour”. Last week we kicked it off with a three-hour virtual hands-on workshop. Dynatrace news. You may be asking yourself now: “ Unbreakable WHAT??”. Hands-on 2: Codify your SLOs.

Cloud 213
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2021 Data/AI Salary Survey

O'Reilly

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. Most respondents participated in training of some form. Learning new skills and improving old ones were the most common reasons for training, though hireability and job security were also factors.

Azure 145
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Monitoring-as-code through Dynatrace’s Open-Source Initiative

Dynatrace

For instance, Zurich Insurance Company, applied this approach through Azure DevOps. An Azure Logic App takes this information and drives an approval workflow that triggers an Azure DevOps pipeline, which uses the application parameters to configure the Dynatrace environment using Monaco.

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What is Azure Functions?

Dynatrace

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 137
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Automated Testing Software for web and mobile: some features you would need

Testsigma

With a cloud-based testing tool, everything is virtual; you’ll save up a lot of costs. For agile teams that work with Bamboo, Jenkins, Azure DevOps, CircleCI, or any CI/CD integration tool — we recommend you choose an automated testing software that easily integrates into your CI/CD pipeline. Final words.

Mobile 52
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What Is a Workload in Cloud Computing

Scalegrid

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. This applies to both virtual machines and container-based deployments.

Cloud 130
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Generative AI in the Enterprise

O'Reilly

Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). report that the difficulty of training a model is a problem.