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

CloudGeometry

SaaS business metrics are not hard to find ; we won’t analyze them in-depth here. DevOps has largely completed the evolution of systems monitoring from the datacenter/IT worldview to what is commonly referred to as observability. Aligning your SaaS business strategy with SaaS technical architecture is critical to SaaS success.

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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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SaaS Is Spurring the Next Cycle of Software Superperformance

OPEXEngine

Over the past decade, software has created tremendous value for investors and businesses, thanks largely to its transformative effect on the economy , its role in developing new cloud-based business models, and its ability to increase efficiency in operations. Embrace the cloud operating model. Sticky after all.

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CFOs and the maturing SaaS space

OPEXEngine

Finance leaders must think through the implications of changing pricing models, high investor interest, and robust capitalization options, specialists say. That’s when Adobe converted its Creative Suite to a cloud-based subscription service, widely considered a turning point for the sector.

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SaaStr Podcast #225: Stephen Burton, VP of Smarketing at Harness Discusses How To Create True Alignment Between Marketing and Sales

SaaStr

Stephen Burton is VP of Smarketing at Harness, the industry’s first continuous delivery as a service platform. For Steve, what does devops really mean? What does Steve believe is the right culture for devops teams? How can a CEO determine when is the right time to fundamentally invest in devops? billion acquisition.

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How is MLOps Used in Business and Marketing?

Neil Patel

The goal is to provide a more streamlined process for developing and creating machine learning systems, allowing business administrators, data scientists, marketers, and IT engineers to cooperate on the same level. It is an extension of what we know as DevOps. This process has been around for a while, but MLOps is still in its youth.

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Cognota’s Ryan Austin on Creating an Entire Category (LearnOps)

FastSpring

And I just started a consulting business, it was a service business. And that kind of gave us a little bit of a head start to then bring together a couple of angels and like early stage investors to hire our first couple engineers and really pivot from being a service company to starting the path to becoming a software company.