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Clouded Judgement 9.27.24 - The Foundation of Foundation Models

Clouded Judgement

Microsoft launched Azure in 2010, and Google launched GCP to the public in 2011 (they launched a preview of Google App Engine in 2008, but made it publicly available in 2011). Subscribe now Foundation Models Are to AI what S3 was to the Public Cloud Many people look at 2006 as the birth of the public cloud - the year Amazon launched AWS.

Cloud 173
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Investing in Tigris

Andreessen Horowitz

The traditional clouds (AWS, GCP, and Azure) are getting dated. Lately, we’ve seen the rise of a number of hosting platforms that are better aligned with modern development practices. It truly is a global multi-master storage platform. And, as a casual dev on evenings, it’s one I’ve been hoping someone would build for years.

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Unlocking Agility and Scalability: Harnessing the Power of Cloud Computing

Valerian Tech

It allows developers to focus on writing code without worrying about infrastructure management. Serverless platforms, such as AWS Lambda and Azure Functions, automatically scale resources based on demand, providing agility and cost optimization.

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Microsoft touts its first managed blockchain service: JPMorgan’s Quorum

IT World

Microsoft today announced its first Azure-based, managed blockchain platform using JPM's Quorum enterprise-class distributed ledger technology. Since 2015, Microsoft's Azure cloud service has allowed users to install a number of blockchain platforms, including Enterprise Ethereum, Hyperledger Fabric, R3 Corda, and Quorum.

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Understanding Multi-tenancy, the Keystone of SaaS

CloudGeometry

Control the scope of downstream interactions SaaS predict platforms can also take advantage of Container Clusters or Serverless Platforms such as AWS Lambda, GCP Functions, and Azure Functions to attach IAM roles for Silo Compute Isolation. The tenants can then access compute resources (Lambda or Azure Functions, etc.)

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What Are SaaS Products + 22 Successful SaaS Companies to Follow

User Pilot

Cloud computing offers three main service models: SaaS for ready-to-use software, PaaS for application development frameworks, and IaaS for scalable virtualized computing resources. Key examples are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, which provide scalable resources like virtual servers and storage.

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Best Practices To Ease Your SaaS Cloud Security Challenges

Audacix

Now this is a very generalized security checklist for cloud security, but this area of cyber security is becoming increasingly important as enterprise applications and workloads move to public clouds and business processes become more dependent on cloud services. Do outsourced development teams also need such a comprehensive approach?