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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. Therefore, many organizations turn to a data lakehouse, which combines the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Learn more. Learn more.

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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 230
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What is artificial intelligence? See how it differs from machine learning in IT ops

Dynatrace

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Why deterministic AIOps is essential for DevOps — and beyond. For more information about developing an AIOps strategy for cloud observability and how Dynatrace can help, read our eBook.

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RSA 2022 guide: DevSecOps transformation with runtime vulnerability management

Dynatrace

As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities. Notably, the need to innovate faster and shift to cloud-native application architectures is driving more than complexity. Cloud application security: The next generation – eBook.

Strategy 226
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DevOps monitoring tools: How to drive DevOps efficiency

Dynatrace

With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency?

DevOps 222
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Dynatrace achieves AWS Machine Learning Competency as it continues to enable a new generation of automated enterprise cloud

Dynatrace

Today 86% of organizations are using cloud-native technologies, including hybrid, multi-cloud architectures, Kubernetes, microservices, containers – all dynamically changing. As you can see, a fault tree shows all the vertical and horizontal topological dependencies for a given alert.

AWS 144
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Shift left vs shift-right: A DevOps mystery solved

Dynatrace

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 198