Data Storage Solutions for both Analytical (OLAP) and Real-Time (OLTP) Use Cases

I’m looking at building a customer data platform on top of AWS that can support both analytical and real-time use cases.

Designing a Kafka consumer that gets a high throughput of “redundant” events

Context:

Most efficient way to maintain versioned business rules files for an Amazon ECS service?

I have an Amazon ECS service that relies on configuration files that contain business rules. The business rules are changed periodically by non-programmers. Total size of the rules files is approximately ~100K. Currently we store them in S3 and create a new folder every time anything changes.

Building a distributed system on Amazon Web Services

Would simply using AWS to build an application make this application a distributed system?

Building a distributed system on Amazon Web Services

Would simply using AWS to build an application make this application a distributed system?

Best way to notify the client in real time that their queue (e.g. SQS) job has finished?

Current Scenario

Will hosting documents on AWS reduce our load?

Due to partnerships, we are required to host our website through our partner company. However, we had an idea that perhaps we could offload the document storage to an AWS document server. The thinking is that we could serve the html from our server, and serve any large document files from the AWS server, which would greatly reduce our bandwidth load.

Is there any harm in using amazon AWS as a development environment? [closed]

Closed 9 years ago.

Is there any harm in using amazon AWS as a development environment? [closed]

Closed 9 years ago.

How to connect mean.js to AWS S3

I am trying see how I can upload images and file to aws S3 via the mean.js framework. I am not sure how the backend is linked to S3. There are no resources online about this specific framework and how it can be integrated with s3. Anyone cares to explain how?