Amazon Elastic Container Service (Amazon ECS) is a scalable, high performance container management service that supports Docker containers.
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Microsoft Azure
Score 8.5 out of 10
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Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
There is no additional charge for Amazon ECS. You pay for AWS resources (e.g., Amazon EC2 instances or Amazon EBS volumes) you create to store and run your application. You only pay for what you use, as you use it; there are no minimum fees and no upfront commitments.
The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
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Amazon Elastic Container Service (Amazon ECS)
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Chose Amazon Elastic Container Service (Amazon ECS)
Some of the other services that are similar to Amazon Elastic Container Service (Amazon ECS) have an easier setup, but the longer term deployment is good with Amazon Elastic Container Service (Amazon ECS) and the total cost of ownership can be reduced if you are integrating …
Chose Amazon Elastic Container Service (Amazon ECS)
Amazon Elastic Container Service (Amazon ECS) is good abstraction/runtime for the container orchestration. No need to maintain and host own solution. Good integrated in AWS
Chose Amazon Elastic Container Service (Amazon ECS)
AWS Elastic Beanstalk is a good beginner level orchestration service but lacks container management and scaling capabilities. EC2 is again not a managed cloud service. It is like just renting a computer on cloud and then managing it on our own. Compared to these ECS is a …
Chose Amazon Elastic Container Service (Amazon ECS)
EKS is like a full-featured Kubernetes on AWS. ECS is a proprietary container orchestration service by AWS. ECS is much simpler to learn & use. It has built-in tight integration with other AWS services as well. Some key considerations: EKS is like Kubernetes; if …
Chose Amazon Elastic Container Service (Amazon ECS)
EKS is a Kubernetes technology and you need to learn Kubernetes and build a cluster before using it. So there's a learning curve here. ECS was easier to implement and simpler to have in our use case. It takes less time to run a workload and make it available.
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Chose Amazon Elastic Container Service (Amazon ECS)
The comparison between Amazon ECS versus Azure Kubernetes Service (AKS) for us came down to the other services already in motion. A lot of companies tend to go really deep with a particular vendor (Amazon, Google, Microsoft etc) and we were already using a bunch of Amazon …
Chose Amazon Elastic Container Service (Amazon ECS)
I chose Amazon ECS over Amazon EKS and other products because the whole infrastructure was decided to be designed on AWS cloud and Amazon ECS made it easier to make the clusters live in just a few minutes. Amazon ECS has better integration with other AWS services and we don't …
Chose Amazon Elastic Container Service (Amazon ECS)
We like Elastic Containers better because of the simplicity to create an application without losing control over it. It is simple, yet powerful, exposing only the parts that are needed without complicating the access to the nuts and bolts when more complicated adjustments are …
Chose Amazon Elastic Container Service (Amazon ECS)
If you are using AWS, you will be using Amazon ECS. I have also used Azure Container Instances and it works just as well in Azure as ECS does in AWS. It's really all a matter of what cloud provider you are utilizing. Because of the "Cloud Wars," it's difficult to measure …
Obviously this is just based on the virtualisation part of the product, but VM's in Microsoft Azure are well managable and no need to invest in hardware, which gives it an edge in a time where the need for VM's is getting less and less.
I feel that Microsoft Azure typically outperforms Google Cloud Platform in hybrid cloud capabilities, integration aspects, and, primarily, security compliance features. Azure offered superior integration with Microsoft's enterprise software ecosystem, and it's second to none in …
Mostly due to the ecosystem. I don't think there is anything in AWS that we would be missing out when using Microsoft Azure. We use Microsoft products on on-premise servers and also M365 / Office services that are well supported in Microsoft Azure. The pricing between AWS and …
AWS is good for linux virtual machines and mac virtual machines, Microsoft Azure doesn't do mac VMs. However, in my opinion Microsoft Azure is better in every other aspect, easier to use and just as cost effective.
AWS takes the cake here just due to how simple it is to configure IAM roles, users, and policies. Microsoft Azure is nearly neck-and-neck and could probably overtake them in the near future. Splunk for logging isn't that great and Microsoft Azure does a solid job but they could …
Microsoft Azure is a comprehensive platform that offers almost all functionalities and can provide even more. Due to ongoing extensive developments, additional functionalities are continuously being added and improved. Many new functionalities are also being added that are …
AWS is the most stable cloud options but Azure has done well in last few years and provides good options specifically for Microsoft customers and who are more familiar with Microsoft technologies like WINDOWS, MS SQL SERVER, GITHUB, VISUAL STUDIO etc. Google cloud is more …
Azure is an ideal platform for disaster recovery and backup. It is very flexible because of its site regeneration capabilities and other features. All of our data can be backup, regardless of the language or operating system. Azure’s inherent flexibility comes from its status …
Remote accessibility for the mass people from the different places where both free and premium service is available that's why people choose Microsoft Azure. The main reason of switching from that to Microsoft Azure is the cost of operation and operating flexibility. The …
AWS and Azure are distinct classes, regardless of how we view them or which sub-areas. Their capabilities are the most comprehensive and sophisticated. Azure will benefit existing Microsoft customers, but AWS has a slight market share advantage. Microsoft Azure offers many …
Because Microsoft Azure has more integrations and possibilities. Also most of the biggest companies are using it, so it gives the security and the back up to trust and work with confidence.
As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" …
We actually utilized multiple cloud stacks, depending upon the customer environment and need. Those that heavily used MS products (Office on-prem or 365), Teams, etc, found it a better fit, with easier integration, for their needs.
I would say that Azure stacks up pretty good and sometimes better in comparison to what Google Cloud Platform has to offer. I don't like GCP for its absurd licensing fees and it's expensive for just Using EC2 Instances. However, DigitalOcean and AWS can offer far better …
The most common alternatives are Amazon Web Services and Google Cloud Platform. AWS is known for its non-existent customer support and abysmal documentation - Azure is clearly better on both fronts. Google Cloud Platform is a solid product, but in my experience Azure Functions …
Integration with other Microsoft products makes Azure stand out quite a bit. However, if you need to use open source software and to integrate with Linux systems then AWS or Google Cloud might be better alternatives. Google did not even come close to Azure in terms of …
Evaluated both AWS and GCP for a similar set of use cases to realize that AWS required additional third-party add ons to be purchased for load balancing vs. Azure's out-of-the-box capabilities offered for free. GCP on the surface was lower cost but the cost of running …
Amazon Elastic Container Service (Amazon ECS) is well suited where you need the ease of managing the clusters by letting AWS do the stuff for you. Obviously, whenever you want to run the docker based workloads, it is always better to go for either AWS ECS or AWS EKS. If you are interested in staying at AWS only and don't want to be cloud-agnostic, then go for AWS ECS instead of AWS EKS. AWS ECS is cheaper than AWS EKS and also more managed by AWS and better integrated with other AWS services. If you want to run those workloads as serverless, then AWS ECS Fargate is the best option to go with. If you already have a Kubernetes based setup that you want to migrate to AWS, then go for AWS EKS instead of AWS ECS.
Actually, migrating to Microsoft Azure is a good solution for almost any situation, especially when all components of your network are ready to become cloud-based. The only drawback I personally encounter frequently is that older software packages cannot always be easily picked up and moved to Microsoft Azure in an optimal manner.
Well Integrated - As with the majority of AWS services, ECS works will with any other AWS product (Route 53, CloudWatch, IAM, etc).
Easy to get started with - It is easy to get started building just about anything in AWS and using ECS is no exception to this rule. Be careful though -- AWS lets you do/build anything in any way you could think of and allowing yourself to shoot yourself in the foot is no exception.
Azure simply provides end to end life cycle. Starting from the development to automated deployment, you will find [a] bunch of options. Custom hook-points allow [integration] on-premise resources as well.
Excellent documentation around all the services make it really easy for any novice. Overall support by [the] community and Azure Technical team is exceptional.
BOT Services, Computer Vision services, ML frameworks provide excellent results as compare to similar services provided by other giants in the same space.
Azure data services provide excellent support to ingest data from different sources, ETL, and consumption of data for BI purpose.
The user interface sometimes seem to be confusing and cumbersome. It can be improved so that people can understand clearly which section to go for which functionality.
When a container fails, the error logs are not readily available on the ECS console. If it can be provided it would be easier to debug from there itself instead of going to our log manager.
Sometimes the old EC2 containers become stale and need to be restarted manually. There should be a notification for such scenarios. We have mostly been finding it out on our own and then fixing it by manually restarting EC2 instances.
If this could be proactively monitored and notified, it would be great.
In our experience, Azure Kubernetes Survice was difficult to set up, which is why we used Kubernetes on top of VMs.
Azure REST API is a bit difficult to use, which made it difficult for us to automate our interactions with Azure.
Azure's Web UI does a good job of showing metrics on individual VMs, but it would be great if there was a way to show certain metrics from multiple VMs on one dashboard. For example, hard drive usage on our database VMs.
We have been very satisfied with Windows Azure and now a lot of our business depends on it as more teams are now deploying their applications into Azure. Our next step is to have our Infrastructure team move their resources to Azure. It will take awhile for that to happen but we are positive that it will.
Aside from some ECS-specific terms to learn at first, learning & starting to use ECS is relatively straightforward. AWS docs on the topic are also of high quality, with sound & relevant examples to follow. Troubleshooting container issues is also a breeze thanks to CloudWatch integration & helpful error messages on the AWS console.
Microsoft Azure's overall usability has been better than expected. Often times vendors promise the world, only to leave you with a run-down town. Not the case with our experience. From an implementation perspective, all went perfect, and from the user-facing experience we have had no technical issues, just some learning curve issues that are more about "why" than "how"
Support is relatively good, although the documentation sometimes is lacking, as well as outdated in our experience, especially when we initiated the process of using this service. But once we found how to assemble things, we haven't really required support from anyone at AWS, the service works without problems so we haven't had the need to contact support, which speaks well of how ECS is built.
Support is easy with all the knowledge base articles available for free on the web. Plus, if you have a preferred status you can leverage their concierge support to get rapid response. Sometimes they’ll bounce you around a lot to get you to the right person, but they are quite responsive (especially when you are paying for the service). Many of the older Microsoft skills are also transferable from old-school on-prem to Azure-based virtual interfaces.
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
AWS Elastic Beanstalk is a good beginner level orchestration service but lacks container management and scaling capabilities. EC2 is again not a Managed cloud service. It is like just renting a computer on cloud and then managing it on our own. Compared to these ECS is a comprehensive solution that provides management, scaling, containerization and other service connectivity out of the box.
I feel that Microsoft Azure typically outperforms Google Cloud Platform in hybrid cloud capabilities, integration aspects, and, primarily, security compliance features. Azure offered superior integration with Microsoft's enterprise software ecosystem, and it's second to none in my opinion. This made it the natural choice for most, especially if heavily invested in Windows, Office 365, or Active Directory deployments. We chose Azure over GCP because we simply needed Windows workload support as a strong driver, more access to global regions, and let's not forget that most tech teams in an organization are Microsoft Certified, which makes skillset transfer from on-prem to cloud a minimal learning curve over shifting to a different provider.
We run 8 web applications (demo instances) on a single machine. At a particular time, no more than 3 applications run simultaneously. So, we keep only required containers up. This helps us to provision small EC2 machines without compromising performance.
Overall Amazon ECS helps to have less number of dedicated machines as more than one solution can be deployed on a single instance. This reduces costs a lot.
Times and growth went into it. By balancing on-premises maintenance with continuous cloud improvements, we’ve budgeted and planned endlessly increased capacity.
In today’s world of cyber-crime, clients can put even more faith in what they’ve heard. We built an innovative single-sign-on hub for all users. Also, other business platforms use Azure application gateways, reducing worker switching time and increasing productivity.
Its step can automate to improve the investment. In addition, we can integrate our organization’s credentials into an authorization for other systems.