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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

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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.

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Dynatrace supports the newly released AWS Lambda Response Streaming

Dynatrace

What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run. Dynatrace provides AWS Lambda metrics monitoring in under five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level. How does Dynatrace help?

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What is AWS Lambda?

Dynatrace

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. It also enables DevOps teams to connect to any number of AWS services or run their own functions. The benefits of serverless Lambda functions.

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What are microservices? An agile architecture for software development

Dynatrace

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Simple network calls. Performance-wise, long call chains over the network can potentially decrease reliability. With microservices, it’s easier to maintain uptime. Microservices managed.

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What are microservices? An agile architecture for software development

Dynatrace

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Simple network calls. Performance-wise, long call chains over the network can potentially decrease reliability. With microservices, it’s easier to maintain uptime. Microservices managed.

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Applying real-world AIOps use cases to your operations

Dynatrace

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

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