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Beyond Frankencloud: living with your once and future SaaS architecture

CloudGeometry

When you treat your cloud provider as a fractional colo. When business-critical applications move out of the data center with “lift and shift”. Bottom-up cost transparency is a key feature of any public cloud platform. Cloud compute spend is another form of technical debt; more on that in a future post). Containers!

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Monetization: What SaaS platform builders need to know to prepare for growth, Part 2

CloudGeometry

First, SaaS is a business strategy, not a technology strategy. The challenge is to build common ground between business and architecture so as to translate business assumptions into critical technical solution inputs. Optimize cloud economics and drive Business Goals. So why put it on our shortlist?

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Understanding Multi-tenancy, the Keystone of SaaS

CloudGeometry

2020 left no doubt: the growth of cloud computing is firmly grounded in the SaaS business model. The Fundamental Goal of SaaS Tenant Isolation Selling the same software to different users relies on using cloud-based resources that can be leveraged across different customers. Optimize cloud economics and drive Business Goals.

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The SaaS Balancing Act: Always Be Modernizing

CloudGeometry

Finally, you need to do it quickly, because if you’re not competitive, your customers can and will take their business elsewhere. Hint: All the public cloud companies are doubling down on full-stack SaaS, betting that it’s the best way to get more companies growing via the cloud.

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Zeroing in on Cloud Technical Risk for Targeted Customer Impact

The best proof of the power of cloud tools and business models? Yet keeping all the moving parts of cloud running right – especially in a fast-moving, competitive market – can cause conflict between technical and business objectives. Keeping your customers confident and loyal.

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Measurement: What SaaS platform builders need to know to prepare for growth, Part 3

CloudGeometry

First, SaaS is a business strategy, not a technology strategy. The challenge is to build common ground between business and architecture so as to translate business assumptions into critical technical solution inputs. SaaS business metrics are not hard to find ; we won’t analyze them in-depth here.