Amazon Elastic Container Service (Amazon ECS) vs. IBM Cloud Object Storage

Amazon ECS is well suited for the scenarios where you want to deploy a microservice to a cloud and instead of manually specifying instance size, number of instances and then specifying the configurations and connecting it with other cloud services like database service, secret manager service etc., you just want to specify these configurations as a file and using that file, the ECS would deploy the service and keep it healthy. It might be less suited for a scenario when you don't want to stick to AWS specific solution for your microservice deployment. The ECS configuration file is specific to AWS ECS and may not be useful for other cloud providers like Azure etc.

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In my experience, IBM Cloud Object Storage is well suited for projects like the one I am working on. This includes the use of natural language classification and the uploading of data to train a machine learning model for tag suggestions based on a body of text. Using IBM Cloud Object Storage has helped with this greatly. IBM Cloud Object Storage has also been great for Big Data Analytics thanks to its scalablilty and ease of use for large datasets. Alongside IBM Watson and our team's internal big data tools we've managed to process and analyze data more efficiently, leading to key insights that have driven business value for our clients.

• One of the biggest advantages is the flexibility to change underlying EC2 instances. As the traffic or demand increases, we can easily change EC2 instances without any issues.
• Amazon ECS APIs are extremely robust and one can start and stop containers by firing one post request only. So, it is not mandatory to keep the demo solutions up for every time. Just at the time of demo fire the command - make the container up and running - do the demo - down the container with API. A simple portal can control every container which helps non-technical (sales, marketing) to do the demo without keeping the solutions up for the entire time frame.

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• IBM Cloud Object Storage is an excellent choice for disaster recovery and backup solutions. Its high durability and geographic redundancy ensure that our backup data is safe and can be quickly restored in case of a disaster. This capability is crucial for maintaining our business continuity and minimizing downtime. We have deployed our loads in an IKS cluster distributed in 3 different AZs with stateful data allocated in COS.
• We have a video streaming application and need to store and deliver a vast library of video content to millions of users worldwide, so we store our data in COS, which is cheap and reliable.
• We have a bunch of data that must be analyzed and stored in datasets for fraud detection, risk management, and customer insights. In these cases, this data is moved from Onprem to IBM Cloud so we can use cheap storage like COS.

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• Another AWS Service - While AWS has a service for just about everything, that is also a negative point. There is no service that does 4 out of 4 things you need. This service does 3 out of 4, another service does the fourth thing you need and another two things that the other service does.
• With AWS things in general, it's really hard to remain cloud agnostic. Keep that in mind.

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• Searching and retrieving—full-text search or metadata search—is one of the significant areas of improvement. It isn't easy to search for data with this.
• Integration with other IBM cloud services is trickier. For example, integrating this with API Connect to access the data from API will be difficult for users.
• Support - I think you should have more support community.

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because it is a robust, safe and flexible product

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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.

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For my use cases, it has been a very smooth experience. Even my new colleagues have been able to get on top of things very quickly. This shows how easy it is to work with

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We rarely face downtime or access issues with IBM Cloud Object Storage. It’s mostly available when we need it, even during peak hours or heavy data loads.

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I would give it a 9 because it works smooth with our AI and analytics tools, no major slowdown. Pages and dashboards load fine most of the time, and reports finish in decent time even when data is heavy.

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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.

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I have been working in IT sector for more than 15 years. I have worked with various vendors. IBM's sales team, support team have been really helpful. After we start to use their product, their UX design team also contacted us to get feedback from us. They are really interested about our experience.

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I just researching and applying the tools on their platforms to ensure a good learning path, based on my needs. Reading the documentation related with resources, tools. Is too big, but I am trying to know more about it every day. It is a good way to know more about their resources. A new way to attract new customers. At the end of the day, we are all involved in improvement and automation of our tasks and resources for customers and end-users.

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Yes Our organization used IBM professional services to implement IBM object storage because of its data consistency and multiple way to upload and download data and its encryption security features. Also that its brand matter for the any organization to secure the layer and storage. It sis also verify that application and system are compatibale for this product

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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 have to look for plugins to do the things, everything is available and can be configured from the AWS console.

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Amazon S3 is a great service to safely back up your data where redundancy is guaranteed, and the cost is fair. In the past I have used Amazon S3 for data that we backup and hope we never need to access, but in the case of a catastrophic or even small slip of the finger with the delete command, we know our data and our client's data is safely backed up by Amazon S3. Amazon S3 service is a good option, but based on the features it provides compared with IBM Cloud Object Storage, it is less suitable. IBM Cloud Object Storage is also integrated with more services, like IBM Cloud SQL and IBM Aspera, which AWS does not provide to transfer files at maximum speed in the world.

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Scaling up the number of users can lead to significant increases in licensing costs, which, while not a technical limitation, can be a practical constraint for some organizations

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• Easy to manage as it has an orchestrator to manage the containers.
• Less costs and more flexibility with Fargate.
• Negative (tied to AWS, so could not easily integrate other tools like running a Redis cluster. Still, it works but not easily like Kubernetes.

• This allows us to recommend a platform to our clients that will quickly help them create new, efficient business processes with very little development.
• This saves clients hours and days of manual analysis of images, allowing the system to do the work when attaching Object Storage to models.
• There is a learning curve in utilizing the storage and the modeling, but once up and running, it works well during deployment.

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