High Scalability

JUNE 15, 2018

1.6x : better deep learning cluster scheduling on k8s; 100,000 : Large-scale Diverse Driving Video Database; 3rd : reddit popularity in the US; 50% : increase in Neural Information Processing System papers, AI bubble? JoeEmison : Another thing that serverless architectures change: how do you software development. Hungry for more?

Internet 113

Internet Internet Scalability Blockchain 113

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The principles of cloud-native architecture. Trust nothing.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

The Symphonia

DECEMBER 6, 2017

the Functions-as-a-Service (FaaS) platform which is the core of AWS’ larger Serverless service suite. Traffic shaping / canary deployment was pre-announced at Serverless Conf NYC in October, and this is now available. API Gateway can now be used to provide an internet-accessible public front to web services enclosed within a VPC.

Serverless 40

Serverless Lambda AWS Traffic 40

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Serverless Architecture. Besides that, these apps do well in areas with a slow internet connection. So it is convenient for all to use irrespective of internet speed and it works offline using cached data. Internet of Things (IoT). List of Top Web Development Trends to Track in 2022.

Blockchain 59

Blockchain IoT Development Serverless 59

KeyCDN

MARCH 14, 2019

Serverless Applications Managing your own server is so 2018. Serverless frameworks like Nuclio let you utilize cloud technology to reduce your workload, improve scaling and save money on unused resources. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services.

Development 101

Development Blockchain Serverless Social Media 101

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52