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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

Infrastructure as code is a way to automate infrastructure provisioning and management. And it’s a crucial step toward achieving cloud automation on the path to NoOps. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code.

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Building the Best Kubernetes Test Cluster on MacOS

DZone

Considering that the big three cloud vendors (AWS, GCP, and Microsoft Azure) all now offer their own flavor of managed Kubernetes services, it is easy to see how it has become ever more prolific in the “cloud-native architecture” space. Like all cloud-native technologies, Kubernetes can be a challenge to test locally.

Testing 276
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Artificial Intelligence in Cloud Computing

Scalegrid

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details.

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What is cloud application security?

Dynatrace

Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?

Cloud 178
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Dynatrace for Developers: Fixing memory leaks in our cloud-native services on k8s

Dynatrace

Dynatrace enables our customers to monitor and optimize their cloud infrastructure and applications through the Dynatrace Software Intelligence Platform. Today’s story is about how the Keptn development team is using Dynatrace during development and load-testing. Then we ran the load-tests again.

Cloud 229
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. Why is developer observability important for engineers? Observability is about answering.”