How do I create a database dump for a running elasticsearch 6.8 cluster in AWS? Is it possible to create it using only the command line?
To create a database dump (also known as a snapshot) of a running Elasticsearch 6.8 cluster in AWS, you can use the Elasticsearch API and the curl command-line tool.

Here's an example of how you can create a snapshot using the API:

Create a repository: Before creating a snapshot, you need to set up a repository where the snapshot will be stored. You can use the API to create a repository, for example:

```
curl -XPUT '<your-elasticsearch-url>:9200/_snapshot/<repository-name>' -H 'Content-Type: application/json' -d '{
    type: s3,
    settings: {
        bucket: <your-s3-bucket>,
        region: <your-s3-bucket-region>,
        base_path: <base-path-for-snapshots>
    }
}'
Create the snapshot: Once you have a repository set up, you can use the API to create a snapshot of your cluster:
curl -XPUT '<your-elasticsearch-url>:9200/_snapshot/<repository-name>/<snapshot-name>?wait_for_completion=true'
This will create a snapshot of your entire cluster and store it in the repository.
```

Note: Replace <your-elasticsearch-url>, <repository-name>, <your-s3-bucket>, <your-s3-bucket-region>, <base-path-for-snapshots>, and <snapshot-name> with your specific cluster information.

If you are looking to reduce costs vs AWS, you might consider using an open-source alternative, like Storj.io
That open source alternative sounds interesting. Can you tell me the difference between it and AWS? Potential problems i should be aware of?
Storj is an open-source, decentralized, peer-to-peer cloud storage platform. It differs from AWS S3 in a few key ways:

1. Decentralization: Unlike AWS S3, which stores data in a centralized manner on Amazon's servers, Storj uses a network of nodes to store data in a decentralized manner. This means that data is stored on multiple nodes across the network, making it more secure and resilient to failures.

2. Cost: Storj aims to be more cost-effective than AWS S3 by using a decentralized network of nodes to store data. Since the cost of storage is spread across many nodes, Storj is able to offer storage at a lower cost than AWS S3.

3. Privacy: Storj emphasizes privacy and security, using encryption to protect data in transit and at rest. This is in contrast to AWS S3, where data is stored in a centralized manner and may be accessible to Amazon and other third parties.

4. However, there are also some potential problems to be aware of when using Storj, such as:

5. Performance: Since data is stored on multiple nodes across the network, performance may be slower than with AWS S3.

6. Availability: If a node in the Storj network goes down, it may be difficult to retrieve data stored on that node.

7. Interoperability: Storj may not be as compatible with other cloud storage solutions as AWS S3.

8. Uptime: Since Storj relies on a network of nodes, there is a risk of downtime if nodes go offline or if there is a problem with the network.

Ultimately, whether Storj is a better choice than AWS S3 depends on your specific needs and priorities, including cost, performance, privacy, and compatibility.
Could you write me an pitch to my manager that we should switch to that service. Add some trendy technobabble words that will impress him.