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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 193
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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. Technically, this is all done over MSMQ where requests are processed and eventually granted or rejected, notifying other services of the outcome.

Cloud 126
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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

While Google’s SRE Handbook mostly focuses on the production use case for SLIs/SLOs, Keptn is “Shifting-Left” this approach and using SLIs/SLOs to enforce Quality Gates as part of your progressive delivery process. The app description and supporting files such as load testing scripts are on the Keptn Example GitHub.

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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

Simplifying the Development Process with Mock Environments. Development is fast and straightforward using standard object-oriented techniques, and the test/debug cycle is kept short by making use of a mock environment running on the developer’s workstation. Debugging with a Mock Environment.

Cloud 52
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

Simplifying the Development Process with Mock Environments. Development is fast and straightforward using standard object-oriented techniques, and the test/debug cycle is kept short by making use of a mock environment running on the developer’s workstation. Debugging with a Mock Environment.

Cloud 52
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MLOps and DevOps: Why Data Makes It Different

O'Reilly

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Who did what and when?

DevOps 137
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Fallacy #5: Topology doesn't change

Particular Software

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. When finally we had all the processes migrated, we celebrated as we decommissioned Public102. Ultimately, this comes down to testing.