System Architecture

System Architecture

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7 Essential Design Principles for Clean and Effective Code
7 Essential Design Principles for Clean and Effective Code
These lesser-known programming principles simplify code, making it shorter, easier to understand, and more flexible and reusable, like…
·python.plainenglish.io·
7 Essential Design Principles for Clean and Effective Code
LongFi: Wireless Technology of the Helium Network
LongFi: Wireless Technology of the Helium Network
LongFi Technology works with the Helium Network to connect multiple devices to various Hot Spots in a peer to peer Network.
·data-alliance.net·
LongFi: Wireless Technology of the Helium Network
Home | LongFi USA
Home | LongFi USA
LongFi USA is building a strong network in your area, why not get paid to help build the world's first decentralized LongFi network for Internet Of Things devices.
·longfiusa.com·
Home | LongFi USA
A Middle Path for Data Sovereignty: Bring Your Own Cloud
A Middle Path for Data Sovereignty: Bring Your Own Cloud
Traditional cloud services force us to choose between data sovereignty and a fully managed experience. BYOC lets you have your cake and eat it too.
·thenewstack.io·
A Middle Path for Data Sovereignty: Bring Your Own Cloud
The Architect’s Guide to Thinking about Hybrid/Multicloud
The Architect’s Guide to Thinking about Hybrid/Multicloud
Going multicloud should not lead to a ballooning IT budget and inability to hit milestones. It should help you manage costs and accelerate the roadmap.
·thenewstack.io·
The Architect’s Guide to Thinking about Hybrid/Multicloud
Curbing Connection Churn in Zuul
Curbing Connection Churn in Zuul
Netflix’s Zuul Gateway eliminated tens of millions of connections and reduced almost all connection churn to backends
·netflixtechblog.com·
Curbing Connection Churn in Zuul
MLflow Model Registry and MinIO
MLflow Model Registry and MinIO
Introduction MLflow Model Registry allows you to manage models that are destined for a production environment. This post picks up where my last post on MLflow Tracking left off. In my Tracking post I showed how to log parameters, metrics, artifacts, and models. If you have not read it, then
·blog.min.io·
MLflow Model Registry and MinIO