Remove DevOps Remove Monitoring Remove Serverless
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Optimize your observability pipeline for AWS Lambda serverless functions

Dynatrace

For AWS Lambda, Dynatrace provides Lambda Layers for adding distributed tracing to your serverless functions and for capturing metrics and logs from Amazon CloudWatch. With this DevOps teams who manage the deployment of the Lambda function can capture all critical telemetry signals through native AWS functionality. How to get started.

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Seamless AI-powered observability for multicloud serverless applications

Dynatrace

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. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news.

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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. Serverless can accelerate innovation (and introduce blind spots). However, while they provide significant benefits, serverless functions also pose several challenges.

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IT teams seek observability for, and control over, serverless architecture

Dynatrace

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. So what exactly does “serverless” mean, and how can your organization benefit from it?

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The keys to selecting a platform for end-to-end observability

Dynatrace

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments.

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.