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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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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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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). For example, Amazon Alexa extensions are implemented as AWS Lambda functions. Dynatrace news. applications,?mobile

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Weighing a microservices approach means covering all architecture bases

Dynatrace

Many organizations are taking a microservices approach to IT architecture. A microservices approach enables DevOps teams to develop an application as a suite of small services. However, in some cases, an organization may be better suited to another architecture approach. What is the monolithic architecture approach?

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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

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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.

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The top eight DevSecOps trends in 2022

Dynatrace

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. According to a Gartner report, “By 2023, 60% of organizations will use infrastructure automation tools as part of their DevOps toolchains, improving application deployment efficiency by 25%.”. and 2.14.1.