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A Flare Across the Clouds : Cloudflare's Earnings Report

Tom Tunguz

AI companies] have a real use case for the cloud which is somewhat different than what we see from some other companies. As Google also reported, usage-based pricing models may weather downturns betterbecause the products they meter grow irrespective of headcount growth, a positive sign for infrastructure.

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Clouded Judgement 3.22.24 - ERR vs ARR and the Conundrum of AI Revenue Streams Today

Clouded Judgement

Every week I’ll provide updates on the latest trends in cloud software companies. This is why the consumption players (Snowflake, Mongo, Confluent, Azure, AWS, etc) so more variability in the macro slowdown. Headcount planning, budgeting, fundraising, etc can often be largely based on a top line plan.

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16 Changes to the Way Enterprises Are Building and Buying Generative AI

Andreessen Horowitz

On a much smaller scale, we’ve also started to see some leaders deploying their genAI budget against headcount savings, particularly in customer service. While some leaders addressed this concern by hosting open source models themselves, others noted that they were prioritizing models with virtual private cloud (VPC) integrations.

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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

If you don’t want to manage all of the infrastructure around Iceberg (plus allocating headcount to do this!) Before diving into more specifics about what Tabular does, I’d like to start with a brief overview of how cloud-native data architectures have evolved over the last decade.

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ChartMogul 2021: Year in Review

Chart Mogul

Cloud destinations (coming soon) — we are in process of adding the ability to export your MRR movements data from ChartMogul onto the cloud. We will support exports to Amazon S3, Microsoft Azure Blob, and Google cloud storage. This year, we also migrated ChartMogul to AWS cloud.