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The State of DevOps Automation assessment: How automated are you?

Dynatrace

In response to the scale and complexity of modern cloud-native technology, organizations are increasingly reliant on automation to properly manage their infrastructure and workflows. Intelligent: To reach the intelligent level, automation must be wholly reliable, sophisticated, and ingrained within organizational culture.

DevOps 179
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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 182
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum can run on any Linux server, whether it is hosted in the cloud or on-premise, and can run in any environment. Artificial intelligence (AI), while similar to machine learning, refers to the broader idea where machines can execute tasks smartly. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. As a result, organizations receive context-rich observability and security data analytics in cloud-native environments. Download report now!

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Modern approaches to observability and monitoring for multicloud environments

Dynatrace

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability is the new standard of visibility and monitoring for cloud-native architectures. Dynatrace news. Leaders in tech are calling for radical change.

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

Dynatrace

This week Dynatrace achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments.

AWS 142
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What is APM?

Dynatrace

You probably think applications including websites, mobile apps, and business apps may seem simple in the way they’re used, but they are actually highly complex; made up of millions of lines of code, hundreds of interconnected digital services, all hosted across multiple cloud services. Advanced Cloud Observability.