CIO Business Intelligence

NOVEMBER 8, 2023

In many cases, organizations adopt legacy network security solutions and architectures to secure these cloud workloads that often fail to provide complete security coverage. This means cloud workloads are connected only to authorized workloads, not to the corporate network using legacy network security architecture. Operational costs.

Cloud 131

Cloud Architecture IBM Security 131

Galido

APRIL 27, 2020

Most users of containers on Google and Azure are using Kubernetes. Google was the company that originally created and owned Kubernetes. This container management system obviously had a lot of potential since it comes from Google’s engineers. Traffic routing and load balancing. But what is Kubernetes really?

Load Balancer 94

Load Balancer Tools Applications Open Source 94

Linux Academy

FEBRUARY 26, 2019

Google Cloud Essentials — This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and detailed explanation of all major services (what they are, their use cases, and how to use them).

Linux 80

Linux Big Data Course Devops 80

Scott Lowe

JUNE 21, 2019

David Holder walks through removing unused load balancer IP allocations in NSX-T when used with PKS. Systango has this high-level overview of serverless application architecture along with some pros/cons, use cases, etc. These two articles are interesting (to me) because they combine both network automation and Kubernetes.

Network 60

Network Load Balancer Storage Applications 60

Linux Academy

MARCH 28, 2019

N-Tier architectures and micro-services applications must be tuned for performance. High speed low latency networks now allow us to add these nodes anywhere in a cloud infrastructure and configure them under existing load balancers. So the question is now not whether to deploy, but when, where, why and how? Machine Learning.

Open Source 60

Open Source Devops Linux Cloud 60

Dataconomy

APRIL 28, 2023

Understanding machine learning deployment architecture Machine learning model deployment architecture refers to the design pattern or approach used to deploy a machine learning model. Dedicated Model API architecture, where a separate API is created specifically for the model and serves as an interface for model interaction.

Tools 77

Tools Open Source Architecture Applications 77

Scott Lowe

NOVEMBER 8, 2015

Brendan Burns, Senior Staff Software Engineer at Google, is delivering the opening keynote. Burns demonstrates how Kubernetes makes this easier by showing a recorded demo of scaling Nginx web servers up to handle 1 million requests per second, and then updating the Nginx application while still under load. HTTP load balancing.

Load Balancer 60

Load Balancer Resources Applications Hotels 60