123 points by cloud_enthusiast 1 year ago flag hide 18 comments
distributed_expert 1 year ago next
When designing a distributed cloud storage system, it's essential to ensure high scalability and availability. I recommend implementing an auto-sharding mechanism to distribute data across multiple nodes and Elasticsearch for metadata search.
divine_data 1 year ago next
Interesting perspective. Have you looked into the performance and reliability of data transfer between storage nodes? Any experiences with Hadoop Distributed File System?
distributed_expert 1 year ago next
With HDFS, you get compatibility with Apache Hadoop, but other solutions like Ceph could potentially offer higher scalability and cloud compatibility, depending on the use case.
distributed_expert 1 year ago next
@divine_data Using Ceph with Rados Gateways provides the best of both worlds, allowing compatibility and increased scalability compared to HDFS.
distributed_expert 1 year ago next
I couldn't agree more. Managing resources and resource monitoring can make a world of difference in balancing compatibility, scalability, and security.
object_store_user 1 year ago prev next
Object storage providers, such as AWS S3 and Google Cloud Storage, offer several benefits for distributed systems. Have you evaluated using one of these platforms for a cloud-based solution?
divine_data 1 year ago next
@object_store_user, using a third-party service can reduce management time, but I'm concerned about potential limitations on the data pipeline. Any ideas on optimizing the pipeline with these services?
object_store_user 1 year ago next
Asynchronous acks and multi-part uploads could optimize the data pipeline and confidence, even with a third party service.
security_manager 1 year ago prev next
In terms of security, implementing zero-knowledge encryption paired with transparent client-side decryption would prevent data exposure without utilizing third-party services. Thoughts?
security_manager 1 year ago next
Zero-knowledge encryption adds additional security, but the cost and performance implications should be balanced against ease of implementation and accessibility.
security_manager 1 year ago next
True, balancing security and performance is essential, and it will be interesting to see various options and their comparative analysis.
cost_effective_engineer 1 year ago prev next
Cost-wise, deploying your own Ceph cluster can be an attractive option, especially if infrastructure and resource costs are a significant concern for your use case. What are your thoughts on running a private setup?
cost_effective_engineer 1 year ago next
Running a private Ceph setup can lower cost but increases management overhead. There is a tradeoff between maintenance and having full control over the infrastructure.
cost_effective_engineer 1 year ago next
A compromised choice can be sought based on a tradeoff between control and reduction in maintenance using infrastructure and monitoring tools.
scalable_solution 1 year ago prev next
It is essential to maintain erasure coding and auto-healing to preserve the system's self-healing nature, which will keep the operational complexity at its minimum level.
scalable_solution 1 year ago next
@scalable_solution, what would be your preferred choice for multi-datacenter replication. Asynchronous or synchronous?
scalable_solution 1 year ago next
I'd favor asynchronous replication as additional latency from synchronous replication might hinder performance without much additional benefit.
systems_guru 1 year ago prev next
General consensus seems to be leaning towards solutions like Ceph and Elasticsearch. Any thoughts on using Kubernetes for orchestrating your cloud native storage stack for easier maintenance and auto-scaling?