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Application security fuels secure digital transformation for a global energy leader

Dynatrace

With the exponential rise of cloud technologies and their indisputable benefits such as lower total cost of ownership, accelerated release cycles, and massed scalability, it’s no wonder organizations clamor to migrate workloads to the cloud and realize these gains.

Energy 198
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Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.

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Dynatrace receives AWS ISV Partner of the Year Award in Austria

Dynatrace

The Dynatrace and AWS strategic alliance spans nearly a decade and includes alignment across product, sales, business development, and more teams. The Dynatrace and AWS strategic alliance spans nearly a decade and includes alignment across product, sales, business development, and more teams.

AWS 194
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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. In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more.

AWS 214
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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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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

We would focus our energy solely on improving data scientist productivity by being fanatically human-centric. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much.

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Should I use microservices?

O'Reilly Software

Despite the drive in some quarters to make microservice architectures the default approach for software, I feel that due to their numerous challenges, adopting them still requires careful thought. They are an architectural approach, not the architectural approach. Where microservices don’t work well.