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Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

Dynatrace

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models. What can we move?

Cloud 201
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Driving your FinOps strategy with observability best practices

Dynatrace

Suboptimal architecture design. Poorly designed cloud solutions can become costly over time. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 236
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Weighing a microservices approach means covering all architecture bases

Dynatrace

In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Experienced developers see microservice design patterns as more platform-agnostic.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 196
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. 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. At a glance – TLDR.

Big Data 321
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What is FinOps? How to keep cloud spend in check

Dynatrace

The result is smarter, data-driven solutions designed to manage cloud spend. Public, private, and hybrid cloud computing platforms such as Microsoft Azure and Google Cloud provide access, development, and management of cloud applications and services. What is FinOps?

Cloud 184