Intercom, Inc.
MARCH 15, 2018
As a startup scales, the importance of infrastructure engineers simply can’t be overstated. They’re the ones making sure your app is secure, that uptime looks good, and that the rest of your engineering org has the right tools to build features your users need and want. The tenets of foundation engineering at Stripe.
CloudGeometry
MARCH 22, 2022
SaaS business metrics are not hard to find ; we won’t analyze them in-depth here. As it turns out, SaaS operational platform metrics are also abundant. DevOps has largely completed the evolution of systems monitoring from the datacenter/IT worldview to what is commonly referred to as observability.
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Baremetrics
DECEMBER 7, 2023
The main benefits of categorizing your SaaS company’s expenses are more accurate metrics and forecasts, and getting a better understanding of your company’s overall spending. The gist of it is that Cost of Revenue includes costs that go into providing your Software as a Service. This is a v2.0
SaaStr
APRIL 17, 2019
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.
OPEXEngine
OCTOBER 5, 2021
In more mature software companies, we see oversized returns for companies that are moving to software-as-a-service subscription models (see Figure 1). While there were some worries that the transition to the service subscription model would reduce software’s traditional stickiness, those concerns may have been overwrought.
CloudGeometry
NOVEMBER 19, 2021
DevOps is a given in today’s software engineering world. Cultural alignment within an engineering organization is necessary, but not sufficient. unplanned outage or service impairment) and/or need subsequent remediation (e.g., Read more about this in my prior post. More about how we got here in my previous post.
Neil Patel
FEBRUARY 25, 2021
In less simple terms, it’s a combination of machine learning, data engineering, and development operations. 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.
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