CloudGeometry
SEPTEMBER 7, 2021
Lockdown and the pandemic, to paraphrase Mike Tyson , have punched us in the face with Everything-as-a-Service. In the face of this sudden acceleration of SaaS-ification, DevOps need to do more to accelerate the transition. It’s increasingly impossible to imagine a SaaS business without a firm commitment to DevOps thinking.
Audacix
JULY 18, 2022
Whether you're about to implement DevOps or searching for ways to make it work better for your team, you must remember that DevOps is all about discipline. But you're in luck, because successful DevOps practitioners leave clues and patterns that you can start implementing today to supercharge the value from your DevOps program.
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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
First, SaaS is a business strategy, not a technology strategy. Part 3: Measurement One of the great breakthroughs of SaaS as a business strategy is in how it puts users and subscribers front and center of software development and keeps them there. As it turns out, SaaS operational platform metrics are also abundant.
OpenView Labs
JANUARY 27, 2021
That’s why I interviewed more than 50 developers in DevOps, DevSecOps, and generalist back-end roles about how they prefer to discover, try, and purchase software. But for prospects who are too busy to hop on a call, it definitely doesn’t hurt to have self-service options for both sales and support. They’re busy folks, after all.
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.
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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