This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up).
They each have some of the largest cloud businesses in the world in AWS, Azure and Google Cloud respectively. The information provided is believed to be from reliable sources but no liability is accepted for any inaccuracies. This is for information purposes and should not be construed as an investment recommendation.
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%.
Some well-known providers of SSO include Google Cloud Identity for companies using GSuite, Azure Active Directory for companies using Office 365, and Okta if you’re a larger company with more complex needs. . For password management, 1Password and LastPass are popular options. 3 – Get a Mobile Device Management (MDM) Solution.
Subscribe now Cloud Giants Report Q3 ‘23 Not a great signal for software this week from the Cloud Giants (AWS, Azure and Google Cloud)…After Q2 (3 months ago), the tone from the Cloud Giants around optimizations was largely: optimizations have started to ease, and net new workloads have picked up. Staggering scale already.
And it’s one of the three large cloud vendors that we all know: Microsoft, AWS, and Google. Azure’s marketplace has over 4 million monthly visitors. AWS’s marketplace has seen 1.5 Like I said, we run 100% of our platform on AWS, so the fit was great. It was pretty easy to drive that from our side.
Amazon on AWS : “…customers are continuing to shift their focus towards driving innovation and bringing new workloads to the cloud. ” Microsoft on Azure : “And I think last quarter, we said one, we are going to continue to have these cycles where people will build new workloads. Follow along to stay up to date!
You give the model information and what you’re trying to predict. Then, it takes that information and makes a prediction. So, if you have bad or dirty examples where a negative case isn’t as informative as an almost positive one, you’ll struggle. When you train a model, it’s trial and error.
We now have results from the three hypersclaers (AWS / Azure / GCP). The most notable change in tone was Andy Jassy talking about AWS. The information provided is believed to be from reliable sources but no liability is accepted for any inaccuracies. ” Full quote below: “We're seeing a few trends right now.
AWS (Amazon), Azure (Microsoft), and Google Cloud (Google) all reported this week. Azure reported on Tuesday and gave us that glimmer of hope. Then AWS appeared to add fuel to that hope before giving us a huge rug pull. Azure came in at 31% (constant currency). They then guided to 26-27% Azure growth in Q2.
Hyperscaler Preview Next week Amazon, Microsoft and Google report earnings and we’ll see Q3 data for AWS, Azure and Google Cloud. The information provided is believed to be from reliable sources but no liability is accepted for any inaccuracies. Said another way, the 10Y today is double what it averaged from 2010 to 2020.
It looks at the YoY dollar change in quarterly revenue from the hyperscalers (just looking at Azure / AWS because the data goes back further) going back a few years. If we break this down and look at Azure and AWS independently (graphs below), you’ll see how the AWS “swings” were a lot more volatile.
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%. At the same time, Azure came in below expectations. Follow along to stay up to date!
Cloud Downgrades This week UBS came out with a couple research reports citing concerns in AWS / Azure growth. This brings me back to AWS / Azure downgrades. This post and the information presented are intended for informational purposes only. Follow along to stay up to date!
Only 1 in 3 buyers consider vendor websites the information source they trust most.”. The role of AWS, Azure, and Google Cloud Marketplace is becoming increasingly important. “45% Today, the focus is less on companies advocating for themselves but rather on building people advocates.
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).
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! The information provided is believed to be from reliable sources but no liability is accepted for any inaccuracies. This is for information purposes and should not be construed as an investment recommendation.
” 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%. You can see more detail about their net new ARR added each quarter below Azure Growth came in at 27%, and guided to 25-26% growth for Q3.
Next week we get all 3 hyperscalers reporting (AWS from Amazon, Azure from Microsoft, and GCP from Google). Let’s double click on Azure. On AWS, in their Q4 earnings call they said AWS was growing “mid teens” in January (down from 20% in Q4). The Q4 ‘22 growth rate was 38% YoY.
AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. ” Then at AWS Summit they called out “Your data is your differentiator when it comes to Generative AI.” AWS reports next week. ” Data is more important than ever!
Usage on Snowflake is driven by queries run on Snowflake Azure: Neutral Tone With Strength in AI Overall I’d characterize Azure’s quarter as a net positive. They guided to 26-27% growth in Azure in Q2 (with 1% coming from AI). This post and the information presented are intended for informational purposes only.
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.
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. Subscribe now Share Clouded Judgement Leave a comment
GASB standards require that interdepartmental or interagency transactions be supported by: Accurate cost allocation Documented pricing logic Audit trails Ledger-ready entries Informal internal billing processesespecially those reliant on manual reporting or static spreadsheetsoften fall short of these standards.
This is why the consumption players (Snowflake, Mongo, Confluent, Azure, AWS, etc) so more variability in the macro slowdown. The information provided is believed to be from reliable sources but no liability is accepted for any inaccuracies. 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!
In the short term, enjoy the ride as the chase continues 😊 Kind of related to all of this - we now have seen the Q4’s from AWS, Azure and Google Cloud. This post and the information presented are intended for informational purposes only. Lots of deceleration in growth.
But I'm not here to talk about hyper-scale, public clouds such as Amazon Web Services (AWS), Azure, or Google Cloud. Instead, most organizations need a way to store our documents and data so we, and our teammates, can easily get our information whether we're at home or sitting at a convention center in Valencia, Spain.
If next quarter we get similar commentary that Azure gave us this quarter (“still a couple quarters away” without any specific guidance), then we may see market loose a little patience. The hyperscalers (AWS, Azure, GCP) are seeing some uptick, but this is largely from selling compute (ie cloud GPUs).
The AWS Well-Architected Framework is one such approach that helps adopt architectural best practices (whether or not you run on AWS) and adapt continuously. That, of course, dictates the isolation models used for information and access management. The tenants can then access compute resources (Lambda or Azure Functions, etc.)
Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). The information provided is believed to be from reliable sources but no liability is accepted for any inaccuracies. A natural question is “why do we have two tiers?
This will allow you to make sure that the right information is going to your users without any unintentional mix ups or data leaks. Going the Amazon Web Services (AWS) route? Your SaaS tech stack should ideally be powered by Python, React, and AWS programming combo. Related: Common Security Pitfalls of User Management.
While a bachelor’s degree in a relevant field like computer science, information systems, or statistics is often preferred, it’s not always a strict requirement. Strategic Decision Support : Ultimately, such data-driven insights can empower informed business decisions. Business intelligence analyst salary Source: Glassdoor.
Our goal is to give our customers and the market the data they need to build a solid case and make informed decisions about when they should take advantage of Cloud Marketplaces. .
IBM is addressing this challenge with its Cloud Pak for Security, which features open-source technology for hunting threats, automation capabilities to speed response to cyberattacks, and the ability integrate customers’ existing point-product security-system information for better operational safekeeping – all under one roof.
Service providers like Amazon Web Services (AWS), Google Cloud Platform, and Microsoft Azure offer server hosting and load-balancing services. Service providers like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure offer infrastructure services that support backend development.
They act as translators, transforming raw data sets into clear and actionable information that businesses can use to make better decisions. They act as translators, transforming raw data sets into clear and actionable information that businesses can use to make better decisions. What decisions will the insights inform?
Key examples are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, which provide scalable resources like virtual servers and storage. Data security concerns : Storing data in the cloud means that sensitive company information is managed by a third party, which can raise concerns about data security and privacy.
Rouse adds, “[It] lets employees have access rights only to the information they need to do their jobs and prevents them from accessing information that doesn’t pertain to them.”. For example, with Azure RBAC you can: Allow one user to manage virtual machines in a subscription and another user to manage virtual networks.
Google Compute Engine (GCE), Digital Ocean, and Amazon Web Services (AWS) are all good examples of IaaS. Some PaaS examples include Windows Azure, Google App Engine, and Force.com. This increases the risk for hackers and people stealing your information. 4 benefits & advantages of choosing SaaS.
Some well-known examples are Adobe, a design and creator platform, Autodesk, a leading construction management system; and Meditech, a healthcare information systems solution. Microsoft Azure, Amazon Web Services (AWS), or Salesforce AppExchange). What are SaaS companies?
TL;DR This is a problem-solver who uses technical skills to uncover insights from data, translating raw data sets into actionable information for businesses. They act as translators, transforming raw data sets into clear and actionable information that businesses can use to make better decisions. Let’s get started!
Industry Cloud Consulting A team of industry cloud professionals can have considerable experience with insurance cloud-native systems and competence in top hyperscalers like AWS and Azure. This enables you to improve operations, lower costs, and provide better client experiences.
They act as translators, transforming raw data sets into clear and actionable information that businesses can use to make better decisions. They act as translators, transforming raw data sets into clear and actionable information that businesses can use to make better decisions. What decisions will the insights inform?
We organize all of the trending information in your field so you don't have to. Join 80,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content