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Now Dynatrace is pleased to announce another industry first: automatic, end-to-end observability for AWS Lambda functions in Node.js By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda. and Python via traces.
With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. unique capabilities of the enhanced AWS Lambda extension include: An end-to-end distributed tracing view with full visibility?across Actionable analytics across the?entire
FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes. PurePath unlocks precise and actionable analytics across the software lifecycle in heterogenous cloud-native environments. PurePath analytics provide a waterfall visualization of all requests , making it easy to identify hotspots.
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. With Davis AI exploratory analytics , Dynatrace gives you a helping hand to understand correlations between anomalies across all the telemetry.
We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail. Or explore the recently introduced support for AWS Lambda logs.
Our metric exporters allow for ingestion of OpenTelemetry-instrumented custom metrics into the Dynatrace open analytics and AI platform, giving you precise and actionable analytics across the entire software life cycle. Stay tuned. NET , Java , JavaScript/Node.js , and Python. The checkout cart service, a Node.js
Dynatrace provides advanced observability across on-premises systems and cloud providers in a single platform, providing application performance monitoring, infrastructure monitoring, Artificial Intelligence-driven operations (AIOps), code-level execution, digital experience monitoring (DEM), and digital business analytics. Stay tuned.
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.
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.
Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.
Learn from Nasdaq, whose AI-powered environmental, social, and governance (ESG) platform uses Amazon Bedrock and AWS Lambda. In this workshop, learn how to use generative AI large language models (LLMs) and AWS services, such as Amazon Bedrock, AWS Lambda, and Amazon S3, to create a draft sustainability report.
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