Container Assessment - Alibaba Cloud
More and more enterprises use container technology to deploy cloud applications, and it seems that the relationship between containers and cloud is getting closer and closer. So the three big cloud providers - Amazon Web Services, Microsoft Azure and Google - have all launched their own container services. However, these services are not all the same aws vs azure vs google cloud pricing.
For the purpose of this article, the Boston-based cloud computing consulting firm, Cloud Technology Partners, provides an in-depth analysis of Amazon Web Services (AWS), Google, and Azure Container Services, carefully considering use cases. The company took a closer look at the characteristics to focus on when evaluating or using cloud-based container services, including data management, scalability, performance, security, DevOps, and integration with managed operations (see Table 1 for results). Use cases cover development and operations, and in short, the functionality you must use when building and deploying applications using these three technologies aws vs azure vs google cloud pricing.
Compare the ratings of the three major cloud providers' on-demand container offerings.
Aws vs azure vs google cloud pricing
A score of 1-5, with 1 being the lowest score and 5 being the highest score. A score of 1 means that the technology provides no support for the item at all, while a 5 means that the technology meets most of the feature and functional requirements of the item. The requirements examined in the DevOps item are that the container subsystem supports DevOps operation and maintenance, or provides the ability to integrate warehouses.
This article provides some basics for businesses evaluating Google, AWS, or Azure container services. But the specific needs of your own application are the most important factor driving the final product decision.
Integration and Data Considerations aws vs azure vs google cloud pricing
Azure Container Service (ACS) is based on Apache Mesos, an open source container orchestration system. This means that benefiting from the good reputation of Mesos, the predecessor of ACS, users can think that the features and functions of ACS are not bad. ACS, not yet fully available, is the latest of the aforementioned container services. As Microsoft's container product is further developed, we will get more data, and many scores may change accordingly aws vs azure vs google cloud pricing.
Google isn't too far ahead, and AWS and Microsoft may catch up quickly.
In AWS EC2 Container Service (ECS), we can see some operational problems, such as the inability to monitor containers at a fine-grained level. When looking at the integration capabilities of ECS and management and operation and maintenance, it should be as powerful as other AWS products. Compared with the 5 points of Google Container Engine (GKE), we have to give it only 4 points. However, ECS does include CloudWatch integration, which is an advantage over ACS. Also, right now, ACS only supports Linux containers. Windows support is almost there, and Microsoft has introduced Mesos, a service that .NET developers can't use just yet.
From a data perspective, all of these services provide native data links without forcing the use of external APIs - but there is room for improvement. A big concern is that they bind native data services to containers and do not provide open data access, which enhances portability. If the data is tightly coupled to the container, it is difficult to create a portable container. This is an emerging field, and we will continue to pay attention.
AWS, Google, and Azure Container Security
When considering security, we found that Google's service, through its Kubernetes container orchestration system, has a "secret" feature and some additional resource constraints that the other two services don't. Therefore, GKE scores the highest on security. Keep in mind that Microsoft also uses Kubernetes, but in a different way. Much of the technology is abstracted away from the user.
But when looking at hosted platforms, or public cloud platforms where container services run, it's interesting to note that Google's platform is a little behind AWS or Azure when it comes to security. While Google is able to work with third-party authenticated access management (IAM) tools, it lacks native IAM support. While this doesn't affect the ratings in the table above, it's also something to consider when deciding which platform to use.
DevOps and scalability
When DevOps is considered, both GKE and Amazon ECS have their own registries, but Azure Container Service does not. Google and AWS offer better DevOps integration when considering container services on their respective clouds.
Extensibility requirements are related to your application needs, so we have to make assumptions based on the mechanisms they can provide, such as Mesos, and some of the use cases we see in the project. You can use the same approach when looking at these technologies for hosting and running containers. For example, ACS using Mesos should provide good scalability, but not as good as GKE, which can provide better clustering capabilities.
As we all know, Amazon ECS can provide high-quality scalability, mainly relying on the highly scalable platform features that AWS brings to its container engine.
To sum up, Google's products are generally more advanced, benefiting from the tight integration of Google's product and its own Kubernetes container cluster, as well as Google's development and operations support. But Google isn't too far ahead, and AWS and Microsoft could catch up quickly. Based on AWS' market share, it is likely that it will be able to offer a better container solution in the near future.
For the purpose of this article, the Boston-based cloud computing consulting firm, Cloud Technology Partners, provides an in-depth analysis of Amazon Web Services (AWS), Google, and Azure Container Services, carefully considering use cases. The company took a closer look at the characteristics to focus on when evaluating or using cloud-based container services, including data management, scalability, performance, security, DevOps, and integration with managed operations (see Table 1 for results). Use cases cover development and operations, and in short, the functionality you must use when building and deploying applications using these three technologies aws vs azure vs google cloud pricing.
Compare the ratings of the three major cloud providers' on-demand container offerings.
Aws vs azure vs google cloud pricing
A score of 1-5, with 1 being the lowest score and 5 being the highest score. A score of 1 means that the technology provides no support for the item at all, while a 5 means that the technology meets most of the feature and functional requirements of the item. The requirements examined in the DevOps item are that the container subsystem supports DevOps operation and maintenance, or provides the ability to integrate warehouses.
This article provides some basics for businesses evaluating Google, AWS, or Azure container services. But the specific needs of your own application are the most important factor driving the final product decision.
Integration and Data Considerations aws vs azure vs google cloud pricing
Azure Container Service (ACS) is based on Apache Mesos, an open source container orchestration system. This means that benefiting from the good reputation of Mesos, the predecessor of ACS, users can think that the features and functions of ACS are not bad. ACS, not yet fully available, is the latest of the aforementioned container services. As Microsoft's container product is further developed, we will get more data, and many scores may change accordingly aws vs azure vs google cloud pricing.
Google isn't too far ahead, and AWS and Microsoft may catch up quickly.
In AWS EC2 Container Service (ECS), we can see some operational problems, such as the inability to monitor containers at a fine-grained level. When looking at the integration capabilities of ECS and management and operation and maintenance, it should be as powerful as other AWS products. Compared with the 5 points of Google Container Engine (GKE), we have to give it only 4 points. However, ECS does include CloudWatch integration, which is an advantage over ACS. Also, right now, ACS only supports Linux containers. Windows support is almost there, and Microsoft has introduced Mesos, a service that .NET developers can't use just yet.
From a data perspective, all of these services provide native data links without forcing the use of external APIs - but there is room for improvement. A big concern is that they bind native data services to containers and do not provide open data access, which enhances portability. If the data is tightly coupled to the container, it is difficult to create a portable container. This is an emerging field, and we will continue to pay attention.
AWS, Google, and Azure Container Security
When considering security, we found that Google's service, through its Kubernetes container orchestration system, has a "secret" feature and some additional resource constraints that the other two services don't. Therefore, GKE scores the highest on security. Keep in mind that Microsoft also uses Kubernetes, but in a different way. Much of the technology is abstracted away from the user.
But when looking at hosted platforms, or public cloud platforms where container services run, it's interesting to note that Google's platform is a little behind AWS or Azure when it comes to security. While Google is able to work with third-party authenticated access management (IAM) tools, it lacks native IAM support. While this doesn't affect the ratings in the table above, it's also something to consider when deciding which platform to use.
DevOps and scalability
When DevOps is considered, both GKE and Amazon ECS have their own registries, but Azure Container Service does not. Google and AWS offer better DevOps integration when considering container services on their respective clouds.
Extensibility requirements are related to your application needs, so we have to make assumptions based on the mechanisms they can provide, such as Mesos, and some of the use cases we see in the project. You can use the same approach when looking at these technologies for hosting and running containers. For example, ACS using Mesos should provide good scalability, but not as good as GKE, which can provide better clustering capabilities.
As we all know, Amazon ECS can provide high-quality scalability, mainly relying on the highly scalable platform features that AWS brings to its container engine.
To sum up, Google's products are generally more advanced, benefiting from the tight integration of Google's product and its own Kubernetes container cluster, as well as Google's development and operations support. But Google isn't too far ahead, and AWS and Microsoft could catch up quickly. Based on AWS' market share, it is likely that it will be able to offer a better container solution in the near future.
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