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

Dynatrace

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. AWS re:Invent 2023: IT automation in AWS environments through a multipronged AI approach In almost every industry, generative AI has become a key topic.

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

Dynatrace

Digital transformation with AWS: Making it real with AIOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development.

AWS 228
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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. Pay Per Use.

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Using Dynatrace to master the 5 pillars of the AWS Well-Architected Framework (Part 1)

Dynatrace

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Dynatrace and AWS. Fully conceptualizing capacity requirements.

AWS 144
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Mastering Hybrid Cloud Strategy

Scalegrid

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. A data lakehouse, therefore, enables organizations to get the best of both worlds.