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Through these interactions, I’ve built up mental benchmarks for metrics on which I place extra emphasis. My hope is that this analysis can provide startup entrepreneurs with a framework for how to manage their businesses around SaaS metrics (e.g., This metric is more self-explanatory, so I won’t go into detail.
The hyperscalers (AWS, Azure, GCP) are always some of the first companies to report earnings during earnings season (coming up in 2 weeks), and there’s always a read through for consumption names (meaning people believe there’s a correlation). I created this subset to show companies where FCF is a relevant valuation metric.
We now have results from the three hypersclaers (AWS / Azure / GCP). Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against. I created this subset to show companies where FCF is a relevant valuation metric.
Microsoft launched Azure in 2010, and Google launched GCP to the public in 2011 (they launched a preview of Google App Engine in 2008, but made it publicly available in 2011). Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against.
All 3 (AWS, Azure, GCP) saw positive reacceleration Quarterly Reports Summary Top 10 EV / NTM Revenue Multiples Top 10 Weekly Share Price Movement Update on Multiples SaaS businesses are generally valued on a multiple of their revenue - in most cases the projected revenue for the next 12 months.
.” As growth starts to slow, it gets harder and harder to justify using revenue multiples as a primary valuation metric. And when this happens, growth companies transition to more of a value based valuation metric (FCF or PE). I created this subset to show companies where FCF is a relevant valuation metric.
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against. I created this subset to show companies where FCF is a relevant valuation metric.
Hyperscalers (AWS, Azure, GCP as companies look for cloud GPUs who aren’t building out their own data centers) Infra (Data layer, orchestration, monitoring, ops, etc) Durable Applications We’ve clearly well underway of the first 3 layers monetizing. I created this subset to show companies where FCF is a relevant valuation metric.
Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against. Most public companies don’t report net new ARR, so I’m taking an implied ARR metric (quarterly subscription revenue x 4). Even a DCF is riddled with long term assumptions.
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against. Follow along to stay up to date! Let’s double click on Azure.
Hyperscalers Report Quarterly Earnings This week we saw AWS (Amazon), GCP (Google) and Azure (Microsoft) report earnings. Most public companies don’t report net new ARR, so I’m taking an implied ARR metric (quarterly subscription revenue x 4). Follow along to stay up to date!
The hyperscalers (AWS, Azure, GCP) are seeing some uptick, but this is largely from selling compute (ie cloud GPUs). Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against. However, it’s not showing up in the data yet.
This week we had two of the hypserscalers report (Microsoft / Azure and Google / GCP), and everyone was eager to see their results. Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against. AWS reports next week. So what did we learn?
Consider also that the Google algorithm ranks websites by load speed, among other metrics. From here, the script collects data from users across various performance metrics and reports back to the RUM interface. Site24x7 supports Ruby, Java, PHP,NET, Node.js, and mobile platforms for apps.
Iceberg is open source, and is the leading table format, having been adopted by Snowflake, AWS, GCP, Databricks, Confluent and many others, with contributions and usage coming from some of the largest organizations like Netflix, Apple, LinkedIn, Adobe, Salesforce, Stripe, Pinterest, AirBNB, Expedia and many others.
As such, FinOps best practice involves continuously evaluating the metrics you’re tracking and ensuring they reflect your business objectives and the latest developments in cloud service. Examples of cost management software include in-platform cost optimization modules like GCP Billing and AWS Cost Explorer.
And it means like my road map would be like putting some emphasis on those metrics which are not game changing for the business. We did use at the end Nightbreed solution, which is a mix of APIs plus custom code and we use the GCPplatform for that with … Data Flow, a lot of different products.
Service providers like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure offer infrastructure services that support backend development. Service providers like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure offer infrastructure services that support backend development.
It’s less expensive than it’s ever been in terms of actually getting a product to market, whether it’s leveraging platforms like Salesforce or GCP or AWS or Heroku. There are plenty of companies that actually have that initial success. It’s very easy to get something out there and get some initial validation.
Another essential benefit of identity in a tenant context is that it aids in capturing and analyzing events from logs & metrics. Some of these include: Create a cluster of nodes per tenant Use IAM and other platform constructs to prevent tenant boundary-crossing.
We researched the market and discovered many tradeoffs and advantages a new provider could bring to the table. Our options were Amazon Web Services (AWS), Google Cloud (GCP), and Azure. Managed Kubernetes was another major factor to consider, and this was head to head with Google Cloud (GCP). Team expertise.
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. Test different performance scenarios for impact to key financial metrics (e.g., impact on recognized revenue and costs, E/R, SG&A, etc.).
Bonus points : Experience with cloud platforms (AWS, Azure, GCP). It provides features like metrics dashboards , reports (funnel, path, trend, cohort), user feedback , etc. Excellent communication and collaboration skills. A passion for data-driven problem-solving and a strong work ethic.
GCP 23 35 52.2% Cloud Operating Margin Azure 44% AWS 38% GCP 17% Plus the operating margins of these companies is massive at around 40% for the top two. Cloud Operating Margin Azure 44% AWS 38% GCP 17% Plus the operating margins of these companies is massive at around 40% for the top two. Azure 26 33 26.9%
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