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Cloud Data Lakes - The Future of Large Scale Data Analysis

Tom Tunguz

The cloud data lake architecture enables companies to achieve scale, flexibility, and accessibility. Various roles in your organization, like data scientists, data engineers, application developers, and business analysts, can access data with their choice of analytic tools and frameworks.

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Building a Multi-tenant Enterprise SaaS Application on AWS (Step-by-Step Guide)

Frontegg

Finally, when the business has unlimited possibilities for expansion, all the costs involved become smaller in scale as you expand. On the other hand, since customer data can get mixed, an application needs to be developed to logically separate customer data. How to Build a Multi-tenant SaaS Application on AWS?

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User Model: What SaaS platform builders need to know to prepare for growth, Part 1

CloudGeometry

There are at least three foundational dimensions that translate your business assumptions into critical technical solution inputs: User Model Monetization Measurement In this blog series, we explore how these three dimensions figure into key technical recommendations which enable scale in pursuit of SaaS business growth.

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Understanding Multi-tenancy, the Keystone of SaaS

CloudGeometry

It is the secret to effective tiering and scaling. Given the speed and intensity of competition in this market, it’s essential to SaaS success at any scale — and at any point on the lifecycle of your SaaS product offering. Let’s take a closer look at what that means and how it works.

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Beyond Frankencloud: living with your once and future SaaS architecture

CloudGeometry

Frankencloud happens when the speed of customer-facing feature development is paid for by charging interest to functions outside of the direct control of the application developers. Interest payments accelerate faster than you realize. Look out for FrankenCloud How can you tell when you live on a Frankencloud?

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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. It provides flexibility and scalability for cloud-native applications.

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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. It’s suitable for businesses wanting control over their infrastructure and the ability to scale. What are the benefits of the SaaS model?