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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. As you can see, the median beat this quarter was 1.5%.
ChartMogul is an analytics platform to help you run your subscription business. You get a complete overview of your global subscriber base; MRR, ARPU, ASP, churn and LTV are presented in a beautiful and easy to use dashboard.
ChartMogul is an analytics platform to help you run your subscription business. You get a complete overview of your global subscriber base; MRR, ARPU, ASP, churn and LTV are presented in a beautiful and easy to use dashboard.
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). Cloudflare is up 17%. Datadog is up 14%. Mongo is up 16%. Snowflake is up 14%.
DuploCloud offers an end-to-end DevOps software platform for dev teams that don’t have dedicated DevOps engineers and augments those that do. The platform automates the provisioning of your application to the cloud (AWS, GCP, Azure), integrating cloud ops, DevOps, and security/compliance with 24×7 monitoring and support.
I presented those questions & my views on their answers at Saastr’s Workshop Wednesday. I started with a few sentences, uploaded them to gamma.app to outline the presentation, popped over to Midjourney to generate images along the story line, & published it in IA Presenter. The video is here. The video is here.
We now have results from the three hypersclaers (AWS / Azure / GCP). The most notable change in tone was Andy Jassy talking about AWS. This post and the information presented are intended for informational purposes only. ” Full quote below: “We're seeing a few trends right now.
Subscribe now Foundation Models Are to AI what S3 was to the Public Cloud Many people look at 2006 as the birth of the public cloud - the year Amazon launched AWS. 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).
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. Securities and Exchange Commission.
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! This post and the information presented are intended for informational purposes only. Falling rates have not been enough to move multiples. A lot of companies report next week, we’ll see if they’re able to quell any fears!
Hyperscalers Report Quarterly Earnings This week we saw AWS (Amazon), GCP (Google) and Azure (Microsoft) report earnings. Overall, it wasn’t pretty… AWS grew 28% when expectations were 30-31%. This post and the information presented are intended for informational purposes only.
” These are two quotes about AWS on the Amazon earnings call. AWS grew 16% in Q1, but called out growth in April (first month of Q2) was 11%. This post and the information presented are intended for informational purposes only. Tailwind of new workloads starting to overtake headwinds of optimizations.
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). On AWS, in their Q4 earnings call they said AWS was growing “mid teens” in January (down from 20% in Q4). This post and the information presented are intended for informational purposes only.
This can lead to an airpocket of valuation as companies transition to a different primary valuation metric Outside of the hypserscalers (Azure, AWS, GCP) who have uniquely benefited from AI revenue (mainly selling compute), everyone else has largely struggled. Coming in to Q1 there was broader optimism. Q4’s were generally good!
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. Altimeter is an investment adviser registered with the U.S.
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.” AWS reports next week. So what did we learn?
Then I’ll weave in where Tabular / Iceberg fit, and why they’re already playing a prominent role in the future (and present) of data infrastructure. Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS).
The hyperscalers (AWS, Azure, GCP) are seeing some uptick, but this is largely from selling compute (ie cloud GPUs). This post and the information presented are intended for informational purposes only. I’m hopeful we’re getting leading indicators that the light at the end of the tunnel is getting closer.
Reporting and presentation : Prepare comprehensive reports and presentations that summarize data analysis results, highlight key findings, and offer actionable recommendations based on data-driven insights. Utilize cloud-based data platforms (AWS, Azure, Google Cloud) for scalable data storage, processing, and analysis.
BetterCloud Founder and CEO David Politis presented a breakout session during Oktane20 Live, Okta’s virtual identity conference. AWS was launched in 2006, and the term “DevOps” was first used in 2009. We run Okta and most of our apps are run in AWS and GCP, so it wasn’t too difficult for us. All of this is SaaSOps.
This might involve creating reports, dashboards, and presentations to communicate complex insights effectively. Communicate complex findings through compelling data visualizations and presentations for both technical and non-technical audiences. Bonus points : Experience with cloud platforms (AWS, Azure, GCP).
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. While there is a growing trend toward consumption-based pricing, implementing these new models presents several key challenges: Revenue cannibalization.
A cloud server, like an AWS EC2 instance, is still a server. The only difference is that it is sitting in AWS' datacentres, rather than in your office. Everything that you read here is relevant to you whether you host your own web applications or use a cloud platform like AWS. Not really.
Alison Wagonfeld is the Chief Marketing Officer for Google Cloud. She’s responsible for both GCP, which is the Google Cloud Platform and for G-Suite, which is Gmail, Calendar, Sheets, Docs, all the stuff that we all use everyday. Welcome to The Sales Hacker Podcast. We’ve got a great show for you today.
Communicate complex findings through compelling data visualizations and presentations for both technical and non-technical audiences. Bonus points : Experience with cloud platforms (AWS, Azure, GCP). This might involve creating reports, dashboards, and presentations to communicate complex insights effectively.
Frequent updates will present you with new key features. Yes, Book My Demo Other paid vulnerability scanning tools Tenable.io Pros Good network scanning capability with the Nessus/Tenable network security add-on. Tenable is best for your computer emergency readiness team working in-house. Cons The dashboard is not satisfactory.
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