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

Dynatrace

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 228
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How organizations can build a strong DevSecOps maturity model based on best practices

Dynatrace

DevSecOps brings development, operations, and security teams together in the software development lifecycle (SDLC). This approach enables teams to focus on speed and agility in software development without compromising security. The education of employees about security awareness. The result is an improved ability to innovate.

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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys. So, what is artificial intelligence?

AWS 210
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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).

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Site reliability engineering: 5 things you need to know

Dynatrace

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

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Dynatrace and TechCrunch reveal why AI-powered observability and continuous automation are crucial for digital transformation

Dynatrace

The scope and scale of these environments are beyond human capacity to manage, with millions to billions of microservices coming and going each second in container-based architectures across multiple clouds. It’s an educated guess. To manage the complexity of these environments, teams need AI-assistance.

Education 179
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Education 100