Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem? Dynatrace news.

Lambda 176

Lambda AWS Serverless Hardware 176

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. The components of partitioned applications generally communicate over a network call.

Cloud 220

Cloud Serverless Hardware Operating System 220

The Morning Paper

MARCH 1, 2020

Firecracker: lightweight virtualisation for serverless applications , Agache et al., Firecracker is the virtual machine monitor (VMM) that powers AWS Lambda and AWS Fargate, and has been used in production at AWS since 2018. The first version of AWS Lambda was built using Linux containers. NSDI’20. Approaches to isolation.

Serverless 101

Serverless Virtualization Lambda AWS 101

Dynatrace

AUGUST 11, 2022

FaaS enables developers to create and run a single function in the cloud using a serverless compute model. Cloud providers then manage physical hardware, virtual machines, and web server software management. Infrastructure as a service (IaaS) handles compute, storage, and network resources. How does function as a service work?

Development 244

Development Serverless Best Practices Lambda 244

Adrian Cockcroft

FEBRUARY 9, 2023

The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. 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.

Engineering 137

Engineering Serverless Lambda AWS 137

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency.

Open Source 61

Open Source Hardware Benchmarking Systems 61