Dynatrace

APRIL 25, 2023

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. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively?

Serverless 216

Serverless Lambda Azure AWS 216

Dynatrace

NOVEMBER 24, 2020

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. through our AWS integrations and monitoring support.

AWS 147

AWS Artificial Intelligence Best Practices Lambda 147

Dynatrace

JANUARY 26, 2021

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. AWS Cognito, for example, is billed as an always up-to-date authentication service that complies with rigorous industry standards. Pay Per Use. Creating a prototype (for example, on Azure ).

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. Stay tuned for updates. Dynatrace news. AI-powered automation and deep, broad observability for serverless architectures.

Serverless 196

Serverless Azure Lambda AWS 196

Dynatrace

NOVEMBER 17, 2020

PurePath 4 supports serverless computing out-of-the-box, including Kubernetes services from Amazon Web Services (AWS) , Microsoft Azure , and Google Cloud Platform (GCP). FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes. So please stay tuned for updates.

Analytics 161

Analytics Technology Technology Cloud 161

All Things Distributed

NOVEMBER 30, 2016

Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc. Developers can build, test, and deploy chatbots directly from the AWS Management Console.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

Dynatrace

AUGUST 12, 2020

This release is just the latest addition to advanced observability for cloud-native technologies offered by the Dynatrace Software Intelligence Platform, which provides the fastest and easiest approach to end-to-end monitoring and tracing of web applications on serverless technologies like Azure Functions, Azure App Service, or AWS Lambda.

Serverless 241

Serverless Azure Monitoring Lambda 241

Dynatrace

NOVEMBER 27, 2020

For demonstrating the annotation of OpenTelemetry custom metrics with useful semantics, we’ve set up a shopping cart microservice example using serverless technologies on AWS. If the sales suddenly drop for a specific region, we need to ensure proper remediation actions for the related Lambda function. Stay tuned.

Metrics 143

Metrics Open Source Lambda Serverless 143

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. Details on the AWS Blog. Amazon Lambda.

Lambda 122

Lambda Cloud IoT AWS 122

Dynatrace

AUGUST 12, 2020

This release is just the latest addition to advanced observability for cloud-native technologies offered by the Dynatrace Software Intelligence Platform, which provides the fastest and easiest approach to end-to-end monitoring and tracing of web applications on serverless technologies like Azure Functions, Azure App Service, or AWS Lambda.

Serverless 144

Serverless Azure Monitoring Lambda 144

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Developers don’t have to put in additional time to fine-tuning the system, or rely on other teams for support, as it’s done automatically with the cloud provider. Focus on Application Development.

Serverless 57

Serverless Monitoring Lambda Latency 57