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How organizations can build a strong DevSecOps maturity model based on best practices

Dynatrace

A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. There are a few key best practices to keep in mind that formulate the perfect DevSecOps maturity model.

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5 SRE best practices you can implement today

Dynatrace

Without SRE best practices, the observability landscape is too complex for any single organization to manage. Like any evolving discipline, it is characterized by a lack of commonly accepted practices and tools. In a talent-constrained market, the best strategy could be to develop expertise from within the organization.

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Cybersecurity Awareness Month: Essential cybersecurity best practices to safeguard your organization

Dynatrace

Because cyberattacks are increasing as application delivery gets more complex, it is crucial to put in place some cybersecurity best practices to protect your organization’s data and privacy. You can achieve this through a few best practices and tools. Downfalls of not adopting cybersecurity best practices.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Learn how security improves DevOps. Best practices for building a strong DevSecOps maturity model – blog How can businesses effectively implement best practices to align with the evolving DevSecOps maturity model?

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Why growing AI adoption requires an AI observability strategy

Dynatrace

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. AI requires more compute and storage. AI performs frequent data transfers.

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Dynatrace expands Davis AI with Davis CoPilot, pioneering the first hypermodal AI platform for unified observability and security

Dynatrace

It further simplifies access to best practices for observability and security use cases and answers “how-to” questions precisely. Large language models (LLMs), which are the foundation of generative AIs, are neural networks: they learn, summarize, and generate content based on training data.

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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.