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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. Release validation.

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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS monitoring best practices.

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The top eight DevSecOps trends in 2022

Dynatrace

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. DevSecOps adoption is on the rise, though still emerging as a best practice for developing secure, high-quality code. It does so by creating repeatable, automated software-driven processes.

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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions. Best practices to consider. Cloud-server monitoring.

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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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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks.

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What are microservices? An agile architecture for software development

Dynatrace

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. These teams generally use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. A few best practices. Dynatrace news.