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A year ago, AWS, GCP, & Azure averaged 44% annual growth. Amazon: We expect [customer] optimization efforts will continue to be a headwind to AWS growth in at least the next couple of quarters. So So far in the first month of the year, AWS year-over-year revenue growth is in the mid-teens.
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.
That’s much more work than the automatic credit card payment with AWS. Perhaps this dynamic drives consolidation in the market, paralleling the web2 infrastructure hypermarts of AWS, GCP, and Azure. It’s too much complexity for a simple static blog. Third, software engineers decentralize only a subset of the app.
Currently, we offer Apache Kafka, Apache Cassandra, PostgreSQL, MySQL, OpenSearch, Redis, InfluxDB, Grafana, and M3 in more than 90 regions around the world on AWS, GCP, Microsoft Azure, DigitalOcean, and UpCloud cloud platforms. We enable customers to drive business results from open source that trigger true transformations.
Secureframe allows companies to get compliant within weeks, rather than months and monitors 100+ services, including AWS, GCP, and Azure. Secureframe helps companies get enterprise ready by streamlining SOC 2, ISO 27001, GDPR, CCPA, PCI DSS and HIPAA compliance.
Secureframe allows companies to get compliant within weeks, rather than months and monitors 100+ services, including AWS, GCP, and Azure. Secureframe helps companies get enterprise ready by streamlining SOC 2, ISO 27001, GDPR, CCPA, PCI DSS and HIPAA compliance.
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.
Secureframe allows companies to get compliant within weeks, rather than months and monitors 100+ services, including AWS, GCP, and Azure. Secureframe helps companies get enterprise ready by streamlining SOC 2, ISO 27001, PCI DSS and HIPAA compliance.
The kink downwards in the red line at Q-2 shows a sudden deceleration in AWS’ growth rate. GCP is more volatile, likely driven by the volatility of bigger deals closing on a smaller revenue base. The current recession is evident in the charts: growth rates have declined by 25% in six months’ time.
While there are many steps to getting your infrastructure setup ready for a SOC 2 audit, below are some simple settings you can start with, if you’re using AWS or GCP ( Secureframe also supports Azure). If you need a Pull Request Template, here is ours. 5 – Configure Your Infrastructure.
Google’s growth rate fell to 35%, a 29% decline from the trailing 4 quarter average of 49% annual revenue growth. GCP’s data point is less rosy. Here are some hypotheses: Google may have greater customer concentration in GCP than Azure. Why do these results diverge?
In my 148 public SaaS companies (including most of the categories of this list but not AWS, Azure, GCP) the aggregate revenue is $185B. No matter what, the wave of enterprise spending that fueled 100 SaaS and Cloud unicorns is just getting bigger and strong. This is your time, folks. Go make it happen.
Layer : application, platform, or infrastructure? In the cloud, AWS, Azure, & GCP have created about as much market cap as all the top 100 B2B & B2C publics built on cloud (Netflix, ServiceNow, AirBnb, etc). The PC increased GDP by 0.006%, according to NBER That alone should turn heads.
We now have results from the three hypersclaers (AWS / Azure / GCP). The most notable change in tone was Andy Jassy talking about AWS. Subscribe now Cloud Giants Report Q1 + Early Look at Software Results Q1 earnings seasons has officially kicked off! ” Full quote below: “We're seeing a few trends right now.
" Here’s another insight : Google’s cloud is more expensive for customers than others : " One of the reasons why GCP is not as big as just so much more expensive for our customers to operate in GCP than it is in AWS and Azure.
Because thats how their customerswho were used to AWS, Azure, and GCP pricingexpected to buy. Enterprise sales require a field presence, strategic account management, and a drive to go where your customers are. Pricing: Keep It Simple (At First) Databricks started with a simple, consumption-based pricing model.
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).
The traditional clouds (AWS, GCP, and Azure) are getting dated. Lately, we’ve seen the rise of a number of hosting platforms that are better aligned with modern development practices. These include Fly.io, Railway, and even front-end platforms such as Netlify and Vercel (which sometimes are built on traditional clouds).
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%. Every week I’ll provide updates on the latest trends in cloud software companies.
” 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%. We’ve all been waiting for cloud optimizations to ease up, and this is our clearest signal that we’re getting there.
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! 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!
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.
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). Every week I’ll provide updates on the latest trends in cloud software companies.
A few months ago, we retired our last pieces of infrastructure on DigitalOcean, marking our migration to AWS as complete. Our journey was not your regular AWS migration as it involved moving our infrastructure from classic VMs to containers orchestrated by Kubernetes. Ultimately, we decided to go with AWS. Team expertise.
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.
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.
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%.
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?
Anthos will let customers run applications, unmodified, on existing on-premises hardware or in the public cloud and will be available on Google Cloud Platform (GCP) with Google Kubernetes Engine (GKE), and in data centers with GKE On-Prem , the company says.
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. We can see this through AWS Control Tower , a standardized provisioning solution that allows to automate how users set up and configure their accounts.
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).
Anthos will let customers run applications, unmodified, on existing on-premises hardware or in the public cloud and will be available on Google Cloud Platform (GCP) with Google Kubernetes Engine (GKE), and in data centers with GKE On-Prem , the company says.
The hyperscalers (AWS, Azure, GCP) are seeing some uptick, but this is largely from selling compute (ie cloud GPUs). I’m hopeful we’re getting leading indicators that the light at the end of the tunnel is getting closer. However, it’s not showing up in the data yet.
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. Just from a platform perspective, we can look at it: everybody knows from the AWS perspective how inexpensive it is to go to market.
Examples of cost management software include in-platform cost optimization modules like GCP Billing and AWS Cost Explorer. Cost Management Software Cost management and optimization tools can help you save money by highlighting unnecessary expenses such as unused instances or superfluous instance sizing.
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.
How to protect your cloud console with GCP/Azure/ AWS cloud console pentests. When you should conduct SaaS pentests / mobile app pentests to solidify your security posture. How to build application security into your software development lifecycle. How to prioritise and pick the right security related activities to do first.
Utilize cloud-based data platforms (AWS, Azure, Google Cloud) for scalable data storage, processing, and analysis. Experience working with cloud platforms (AWS, Azure, GCP) is desirable. Work with big data technologies (Hadoop, Spark) to process and analyze massive volumes of data.
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. There’s no blueprint or certification for running a SaaS-forward digital workplace. All of this is SaaSOps. How did you empower remote work during COVID-19?
And we were using a solution from Amazon AWS… We had one big issue first, which was a number of regions they were supporting were not the same vendors. 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.
If your SaaS is hosted on AWs, here are 47 AWS security controls you can put in place for free. Business requirements vs security requirements SaaS applications, particularly those that are targeted towards FinTech and banking, need to comply with industry-specific regulatory compliance requirements.
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.
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. It is very common for companies to use multiple pricing models for different products, segments, and/or use cases.
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