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Serverless Development with AWS Lambda and MongoDB Atlas Using Java

The Polyglot Developer

It might make sense to explore serverless functions, like those offered by AWS Lambda, and a cloud database like MongoDB Atlas. Serverless functions are great because you can implement very specific logic in the form of a function and the infrastructure will scale automatically to meet the demand of your users.

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Dynatrace leverages new AWS Lambda extensions for seamless end-to-end observability

Dynatrace

AWS Lambda is the fastest growing technology for serverless workloads and helps developers innovate faster. It removes the burden of managing underlying infrastructure and is broadly adopted for cloud-native application environments. But serverless functions don’t exist in a vacuum. Dynatrace news.

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Automatic observability on Amazon EKS for AWS Fargate with intelligent Dynatrace Operators

Dynatrace

Though serverless platforms relieve them from this burden, such platforms are built using Kubernetes alternatives that require different APIs, orchestration tools, and observability requirements. Only Dynatrace provides this level of of infrastructure and application observability in one comprehensive solution. and Golang containers.

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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. If you are running serverless with AWS Lambda, you’ve also bypassed the need for a platform team to run it, the serverless platform takes care of those concerns.

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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. Spring4Shell: Detect and mitigate new zero-day vulnerabilities in the Java Spring Framework – blog. However, these technologies can increase complexity.

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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

We went from an essentially serverless model in a monolithic service, to deploying and maintaining a new microservice that hosted our app backend endpoints. While this gave client teams a very convenient “serverless” model, over time we ran into multiple operational and devex challenges with this service. Java…Script?

Latency 233
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RSA 2022 guide: DevSecOps transformation with runtime vulnerability management

Dynatrace

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed. Because of their flexibility, dynamic, ephemeral environments are more difficult to monitor in real time than traditional on-premises infrastructure.

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