AWS Machine Learning - AI

MARCH 28, 2024

It started as a feature-poor service, offering only one instance size, in one data center, in one region of the world, with Linux operating system instances only. There was no monitoring, load balancing, auto-scaling, or persistent storage at the time. One example of this is their investment in chip development.

Artificial Inteligence 107

Artificial Inteligence Generative AI AWS Load Balancer 107

LeanEssays

JANUARY 21, 2016

On the 15th anniversary of the Agile Manifesto , let's look at what else was happening while we were focused on spreading the Manifesto ’ s ideals. Big Data 3. This process required keeping multiple copies of all data, so when hardware failed the data it held was available in another location. The Cloud 2.

Software Review 55

Software Review Innovation Software Technical Advisors 55

Kentik

MAY 17, 2021

This is happening at the same time that SRE and DevOps teams are actually speeding up and enjoying the agility of the cloud. Ingesting VPC flow logs is a good start, but what good does it do when containers spin up and down in minutes, workloads are transportable and everything runs on some kind of overlay network?

Network 52

Network Cloud AWS Architecture 52