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The keys to selecting a platform for end-to-end observability

Dynatrace

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Identifying the ones that truly matter and communicating that to the relevant teams is exactly what a modern observability platform with automation and artificial intelligence should do.

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Artificial Intelligence in Cloud Computing

Scalegrid

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321
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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. What is artificial intelligence?

AWS 277
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Why the Newest LLMs Use a MoE (Mixture of Experts) Architecture

DZone

Mixture of Experts (MoE) architecture in artificial intelligence is defined as a mix or blend of different "expert" models working together to deal with or respond to complex data inputs. This improves efficiency and increases system efficacy and accuracy.

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Automating DevOps practices fuels speed and quality

Dynatrace

More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. At Dynatrace Perform, the annual software intelligence platform conference, we will highlight new integrations that eliminate toolchain silos, tame complexity, and automate DevOps practices.

DevOps 290