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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. Actionable analytics across the?entire Serverless can accelerate innovation (and introduce blind spots). Dynatrace news. AI-powered answers, provided by?Dynatrace entire stack,?including

Lambda 209
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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. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Its approach to serverless computing has transformed DevOps.

AWS 228
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

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

Dynatrace

This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions extend applications to accelerate speed of innovation. These serverless functions allow developers to focus on their business logic.

Lambda 294
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration. When DevOps teams move these tasks earlier in the development process, it can aid in finding software flaws before they enter production. Only 27% of those CIOs say their teams fully adhere to a DevOps culture.

Cloud 186
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Applying real-world AIOps use cases to your operations

Dynatrace

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 196
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy.

AWS 246