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

Dynatrace

When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration. The underlying software architecture that supports all this data must be secure, as well. API access management. “We have you covered there,” he explained.

Design 188
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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 223
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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

As noted earlier, the majority of survey respondents are software engineers. These are not system administrators whose job it is to worry about keeping software patched, secured, and managed. This scaling takes away the worry from random and unexpected traffic spikes or big seasonal traffic. Custom tooling” ranked No.

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5 key areas for tech leaders to watch in 2020

O'Reilly

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. Software architecture, infrastructure, and operations are each changing rapidly. Software architecture, infrastructure, and operations are each changing rapidly. In programming, Python is preeminent.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

The skillset and the background of people building the applications gets realigned : while it is still effective to express applications in code, the emphasis shifts to data and experimentation—more akin to empirical science—rather than traditional software engineering. This approach is not novel. How do two iterations compare?

DevOps 138