Percona

FEBRUARY 24, 2023

Figure 1: PMM Home Dashboard From the Amazon Web Services (AWS) documentation , an instance is considered over-provisioned when at least one specification of your instance, such as CPU, memory, or network, can be sized down while still meeting the performance requirements of your workload and no specification is under-provisioned.

Cloud 122

Cloud Serverless AWS Storage 122

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 247

AWS Efficiency Azure Cloud 247

High Scalability

JUNE 22, 2018

Xtracerx : for me the biggest value to serverless functions is how nicely they tie in to the ecosystem of a cloud provider. using them to respond to storage events on s3 or database events or auth events is super easy and powerful. Three major roadmap updates in 29 days with serious spec changes, and it got worse from there.

Internet 113

Internet Internet Scalability Artificial Intelligence 113

All Things Distributed

DECEMBER 18, 2017

In France, you can find one of the most vibrant startup ecosystems in the world, a strong research community, excellent energy, telecom, and transportation infrastructure, a very strong agriculture and food industry, and some of the most influential luxury brands in the world.

AWS 112

AWS Artificial Intelligence Education Energy 112

The Morning Paper

JANUARY 30, 2020

To speed up migration and quickly restore wasm functions at the destination, the wasm instantiate function is intially called with a dummy linear memory, and then this is later replaced once the real memory has arrived over the network. An example for the cubes application is shown below. The opencv app has the largest state (4.6

Mobile 104

Mobile Cloud Latency Games 104

The Morning Paper

JUNE 13, 2019

Perhaps inspired by serverless in spirit and in terminology, the path forward proposed in this paper is towards a managed and model-less inference serving system. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling). autoscaling). Model-less is more confusing.

Hardware 58

Hardware Latency Serverless Energy 58