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

Dynatrace

We’ve worked closely with our partner AWS to deliver a complete, end-to-end picture of your cloud environment that includes monitoring support for all AWS services. Now Dynatrace is pleased to announce another industry first: automatic, end-to-end observability for AWS Lambda functions in Node.js and Python via traces.

Lambda 283
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Serverless Development with Kotlin, AWS Lambda, and MongoDB Atlas

The Polyglot Developer

As seen in a previous tutorial , creating a serverless function for AWS Lambda with Java and MongoDB isn’t too complicated of a task. However, maybe your stack doesn’t consist of Java, but instead Kotlin. What needs to be done to use Kotlin for AWS Lambda and MongoDB development?

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Platform Engineering Teams Done Right…

Adrian Cockcroft

The next layer is defined by the languages you want to use, Java, Python, Go, , Javascript, Rust etc, and the ecosystem of library functions you bought from a vendor or downloaded. The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2.

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Plan, execute, and modernize a cloud migration strategy with Dynatrace

Dynatrace

That’s why customers use Dynatrace’s application programming interface (API) to automate monitoring tasks and export different data types into a third-party reporting and analysis tool. Figure 5 shows the service flow of a Java-based application hosted on VMware. A service flow of a Java-based application hosted on VMware.

Strategy 187
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

The CVE Program, which publishes vulnerabilities as they become known, reported a 25% increase in vulnerabilities between 2021 and 2022. For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. Learn more with the 2022 InfoSec guide.

Cloud 176
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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

The suite is built using popular OSS applications and representative technologies, deliberately using a mix of languages (C/C++, Java, Javascript, node.js, Python, Ruby, Go, Scala, …) and both RESTful and RPC (Thrift, gRPC) style service interfaces. Application and programming framework implications. Tail at scale implications.

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Announcing the ScaleOut Digital Twin Streaming Service™

ScaleOut Software

This approach refactors and simplifies application code (which can be written in standard Java, C#, or JavaScript) to just focus on a single data source, introspect deeply, and better predict important events. Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed.