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AWS announced earnings earlier today and reported 33% growth. AWS’s growth rate is the slowest of the three largest public infrastructure clouds. With about 39% market share, AWS reigns supreme as the largest provider. With about 39% market share, AWS reigns supreme as the largest provider. Q/Q Growth Rate Change.
It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). GCP data is a bit more noisy as they don’t disclose GCP itself, but rather Google Cloud which includes GSuite. So what are these consensus estimates and who creates them?
AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. Satya at Microsoft said “Every AI app starts with data and having a comprehensive data and analytics platform is more important than ever.” Powell said the Fed staff no longer is forecasting a recession.
Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). The warehouse is then optimized for efficient access (typically through SQL) to that data, with a number of other properties layered in (like governance, access, security, etc).
A key aspect of the analysis stage of your FinOps program is the prediction of future cloud resource requirements, known as usage forecasting. Examples of cost management software include in-platform cost optimization modules like GCP Billing and AWS Cost Explorer.
For example, technology companies like AWS, GCP, and Snowflake offer no contracts for customers interested in using their self-service option or beta-testing the solution. Thus, almost axiomatically, the model exacerbates the challenge of accurately forecasting revenue, as well as setting accurate quotas.
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