Remove Analytics Remove Architecture Remove Artificial Intelligence Remove DevOps
article thumbnail

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. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data.

article thumbnail

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
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

IT automation central to navigating cloud complexity and data explosion

Dynatrace

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 177
article thumbnail

What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

ITOps vs. DevOps and DevSecOps. ITOps is responsible for all an organization’s IT operations, including the end users’ IT needs, while DevOps is focused on agile continuous integration and delivery (CI/CD) practices and improving workflows. DevOps works in conjunction with IT. ITOps vs. AIOps.

article thumbnail

IT automation central to navigating cloud complexity and data explosion

Dynatrace

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 147
article thumbnail

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

Dynatrace

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

article thumbnail

Modern observability is no longer optional on the path to digital transformation

Dynatrace

You have to get automation and analytical capabilities.” Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand. That’s why teams need a modern observability approach with artificial intelligence at its core. “We