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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. The education of employees about security awareness.

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Its approach to serverless computing has transformed DevOps.

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Site reliability engineering: 5 things you need to know

Dynatrace

This focus on automating processes is even more critical as organizations adopt more cloud-native technologies, including containers, Kubernetes, and serverless applications. DevOps teams must constantly adapt by using agile methodologies and rapid delivery models, such as CI/CD. Solving for SR.

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Site reliability engineering: 5 things to you need to know

Dynatrace

This focus on automating processes is even more critical as organizations adopt more cloud-native technologies, including containers, Kubernetes, and serverless applications. DevOps teams must constantly adapt by using agile methodologies and rapid delivery models, such as CI/CD. Solving for SR.

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

O'Reilly

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.

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Cloud Native Predictions for 2024

Percona

Customers will increasingly prioritize AI efficiency and education to tackle legal and ethical concerns. This marks the end of an era of chaos, paving the way for efficiency gains, quicker innovation, and standardized practices. Developers will receive the endpoint without needing to consider resources and tuning at all.

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