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Dynatrace launches automatic end-to-end observability via traces for AWS Lambda (Preview program)

Dynatrace

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.

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Dynatrace extends distributed tracing for serverless on AWS Lambda (GA)?

Dynatrace

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

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Analyze AWS applications end to end with Dynatrace using AWS Distro for OpenTelemetry

Dynatrace

To solve this problem, Dynatrace automatically analyzes AWS Distribution for OpenTelemetry data, adds topological context, and makes it easy to find the root cause of problems using Dynatrace Davis®, our AI causation engine. AI-powered analytics —Automatic root cause detection . Ease of ingestion —with AWS Distro for OpenTelemetry .

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Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

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.

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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

AWS Lambda. Lambda is Amazon’s event-driven, functions-as-a-service (FaaS) compute service that runs code when triggered for application and back-end services. AWS Lambda makes it easy to design, run, and maintain application systems without having to provision or manage infrastructure. AWS monitoring best practices.

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Common use-cases for AWS Lambda in the enterprise (and how to get observability for them. What are the typical use cases for AWS Lambda? What are the challenges related to operating Lambda functions? What is AWS Lambda?

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So many bad takes?—?What is there to learn from the Prime Video microservices to monolith story

Adrian Cockcroft

They state in the blog that this was quick to build, which is the point. Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. Finally, what were they building?