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Stripe’s Will Larson on engineering and infrastructure management

Intercom, Inc.

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.

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Pursuing DevOps Momentum: Measuring what matters

CloudGeometry

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.

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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. 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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Lessons from New Relic: Five Critical Steps to Scaling Enterprise (Video + Transcript)

SaaStr

The second is adoption of DevOps practices, and the third is a focus on a digital customer experience. We ingest more than 2 billion events and metrics per minute as we’re providing observability to our customers about what’s going on in their application and infrastructure environments. We operate at great scale.

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7 Ways to build Enterprise Readiness into your SaaS roadmap

CloudGeometry

Proven best practices that help both finance & engineering teams In fact, it is entirely reasonable to ask about “Security and _” for almost any aspect of your SaaS application and platform. There’s a constant tension over-provisioning to meet service levels vs. your own cash flows. It’s not just that enterprises are rich targets.

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How is MLOps Used in Business and Marketing?

Neil Patel

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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How to categorize expenses in a SaaS startup

Baremetrics

Proper expense categorization improves your visibility into your company’s spending while enabling more accurate metrics and forecasting. As a result, we typically spend the first couple of weeks with a new startup helping their bookkeeper to re-categorize their expenses before we can even begin forecasting or calculating metrics.

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