AWS Fargate vs. IBM Cloud Object Storage

Fargate is well suited for web APIs, microservices, background jobs, and applications with changing traffic. It is useful when teams want to run containers without managing servers. It is less appropriate for workloads that run constantly at large scale, need special hardware, require deep server control, or depend on very low costs and highly customized networking or storage requirements.

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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.

• scalability
• ease of use
• agility to up or downsize

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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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• Offers less control over the underlying server.
• Storage options are more limited than EC2.
• Large numbers of tasks may hit launch-rate limits.

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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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It's a very practical service to use. If you need to deploy any application with a Database, disk storage, you're pretty much set.

Everything around that can be taken care of using other AWS services. Like secrets manager, certificate manager, RDS ...

And the CI/CD part is also very easy to setup, you only need on AWS CLI command to trigger a deployment, and done !

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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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AWS provides different support tiers. They are usually very reactive and are able to help solve the issues very quickly.

As for everything, the higher the support tier you get, the better and faster support you get.

If you're also a part of big company, you probably have solution architects at your disposal to help you with any inqueries.

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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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We found the extra cost saved us frustration and time and ultimately money in the long run

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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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Pricing and billing of AWS Fargate is loosely tied to your exisiting AWS billing. You're unlikely to only use Fargate in your AWS subscription, so you get billed for everything alltoghter.

Fargate is naturally a bit more expensive that usuel docker services, but with careful planning and architecturing, you can have a very manageable cost.

You can also rely on Saving plans to reduce your bill.

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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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• Has made seasonal apps/tools cheap to run/maintain.
• Pay for what you use helps compare many A/B tests.
• No server management means faster deploys.

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• 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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