Remove Azure Remove Google Remove Monitoring Remove Systems
article thumbnail

Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

Observability is essential to ensure the reliability, security and quality of any software system. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing.

article thumbnail

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.

Cloud 212
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Expanded cloud-region coverage for Dynatrace Synthetic Monitoring

Dynatrace

Dynatrace Synthetic Monitoring , in combination with Real User Monitoring and Session Replay , makes Dynatrace the market-leading digital experience monitoring solution. With Synthetic Monitoring, you can easily check the availability and performance of your applications as well as your APIs. New Azure locations.

article thumbnail

Maximized cloud-region coverage with Dynatrace Synthetic Monitoring

Dynatrace

Dynatrace Synthetic Monitoring , in combination with Real User Monitoring and Session Replay , makes Dynatrace the market-leading digital experience monitoring solution. With Synthetic Monitoring, you can easily check the availability and performance of your applications as well as your APIs. New Azure locations.

article thumbnail

Breaking data silos: Liquid Reply’s journey to custom API observability with OpenTelemetry and Dynatrace

Dynatrace

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. Although the APIs were all managed by the Google API manager Apigee, the bank group was not getting consistent data types from the output.

article thumbnail

Driving your FinOps strategy with observability best practices

Dynatrace

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. They can send a notification saying, “This server is oversized.”

article thumbnail

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 247