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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure.

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Data privacy by design: How an observability platform protects data security

Dynatrace

Leaders should consider the following when creating end-to-end security architecture to support data security: Non-root mode Automatic signature verification Automatic (and manual as needed) updates Automatic authentication of the environment Plank also noted secure access for data, using single sign-on and IP-based access restrictions.

Design 201
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How to overcome the cloud observability wall

Dynatrace

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 233
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5 key areas for tech leaders to watch in 2020

O'Reilly

Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Trends in software architecture, infrastructure, and operations.

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Cloud Adoption in 2020

O'Reilly

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP). Take observability , for example.

Cloud 141
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MLOps and DevOps: Why Data Makes It Different

O'Reilly

While Git , GitHub, and other similar tools for software version control work well for code and the usual workflows of software development, they are a bit clunky for tracking all experiments, models, and data. Software Architecture. Next, we need to consider who builds these applications and how. Data Science Layers.

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