In our last blog post on AWS vs. GCP vs. Azure’s hybrid cloud capabilities, we covered four of the most basic criteria companies assess a suitable cloud computing system on.
A NASDAQ report states that the total revenue from cloud services totaled $312 billion in 2021, suggesting the upward tick in cloud computing adoption is set to increase. Smarter companies integrate cloud capabilities for security reasons, to reduce costs, and to have a larger workforce that uses fewer resources, among other reasons.
Amazon’s cloud computing Amazon Web Service is better known as AWS. Microsoft offers their Azure cloud computing system, while Google has Google Cloud Platform, shortened to GCP. Each of these systems is powerful and boasts a myriad of strengths and features, so it could be hard to choose. But, worry not. With our two-part guide, the choice could be easier for you.
Therefore, here are four points that give companies better insights into choosing among AWS, GCP, and Azure.
1. Staying connected with networks
AWS Direct Connect is the virtual private network offering by AWS with port speeds of 1 Gbps and 10 Gbps. There are three different network models that companies will choose based on their needs. The first is a dedicated connection, the next a hosted connection, and the last, a virtual interface.
Azure‘s network is ExpressRoute Direct or a Partner model. Only Azure ExpressRoute comes with two circuits for HA/redundancy and SLA, which differentiates it from AWS and GCP.
Interconnect is GCP‘s networking model. The easiest of the three with the fewest moving parts, Interconnect is straightforward and easy to implement. There is Dedicated Interconnect, Google Cloud Router, and Partner Interconnect.
2. Artificial intelligence + machine learning
Artificial intelligence (AI) and machine learning (ML) offer faster training and deployment. Amazon Machine Learning by AWS offers predictive analytics and is best suited for use in time-sensitive operations. Data points are calculated automatically, without the need for user input.
Azure AI Platform includes APIs and infrastructure based AI and ML services. The Machine Learning Studio does not take up valuable space, because it is web-based and low code.
GCP’s Google AI Platform brings together machine learning, APIs, and AI onto one platform. The Training Service software environment gives users the option to use ready-made or custom algorithms for flexibility. Predictive Service gives companies the power to integrate predictions into apps and services.
3. Hybrid clouds are strong
When companies use cloud-computing infrastructure from various providers, they will want to keep some applications in-house. Azure Stack gives customers both the hardware and software for utilizing connected public cloud services.
AWS Outposts gives companies data center operations capabilities while being managed by the vendor. Ready-to-go stacks mean lower downtime and faster deployment.
GCP offers Anthos, the coming together of GCP with on-premises services, Kubernetes Engine, and a configuration management console. With Anthos, Google ensures 360° management and in-built security on GCP’s hybrid cloud system.
4. Where are they available?
It’s a given that AWS, being the cloud services pioneer, had an advantage, time wise, that the other two don’t. The earliest entrant to the cloud has a worldwide service presence of 66 regions and a dozen more in the pipeline.
Azure follows on the heels of AWS with 50 service zones, and availability in over 140 countries. Last, but not least is GCP, getting up to speed with a presence in 20 regions and a few more on the way.
Gartner predicts that cloud services will account for 40% of all enterprise workloads by 2023. As companies need to grow to evolve with improved technology, it creates a demand for reliable services like cloud services.
With Aspire Systems, it is easier than ever before for companies to choose a cloud platform that not only provides a solution to their needs, but also offers the best in performance, services, and security.
Companies looking to scale up by integrating public and private, on-premises cloud services look to hybrid cloud computing solutions. In the second and final installment of our two-part series, hybrid cloud service providers Amazon, Google, and Microsoft are compared on four points to offer companies better insights into which they should opt for.
As every company’s needs and goals are unique, our two-part guide will help you perfectly home in on the hybrid cloud provider that works best for you. In this blog post, we compare the hybrid cloud services leaders based on networking and availability of services, among others.