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  • 1.  Optimal Use of Cloud Storage on IBM Cloud

    Posted Sat January 11, 2025 01:35 PM
    Edited by james colin Mon March 03, 2025 06:01 PM

    Hello IBM Cloud Community! đź‘‹

    I've been exploring the cloud storage options available on IBM Cloud, and I'm curious about best practices to make the most out of them. Here are some specific questions I'd love to get insights on:

    1. Choosing the Right Storage Type: With options like object storage, block storage, and file storage, how do I determine which one is best for a specific workload or application? Are there specific scenarios where one clearly outperforms the others?

    2. Performance Optimization: What are some effective ways to optimize storage performance for applications with high IOPS (input/output operations per second) requirements?

    3. Cost Management: How can I efficiently manage costs while ensuring I don't compromise on performance or scalability? Are there any tips or tools within IBM Cloud that can help monitor and control storage spending?

    4. Security Considerations: What are the recommended practices for securing data stored on IBM Cloud? How can encryption and access controls be effectively implemented?

    5. Scalability: What's the best approach to scale cloud storage as data grows, especially for workloads with unpredictable usage patterns?

    I'd love to hear from experienced members of this community about how you've tackled these challenges. Your insights would be greatly appreciated! 

    read more at:  https://teraboxplus.com

    Let's collaborate and build better cloud solutions together! 



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    james colin
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  • 2.  RE: Optimal Use of Cloud Storage on IBM Cloud

    Posted 18 days ago

    Great set of questions - you're right that choosing the right storage type depends heavily on workload. In general:

    • Object storage works best for unstructured data (media files, backups, analytics datasets).

    • Block storage is ideal for databases or applications with high IOPS requirements.

    • File storage suits collaborative environments where multiple users need shared access.

    For performance optimization, tuning IOPS and leveraging caching layers can help, while cost management often comes down to monitoring usage with IBM Cloud's built‑in tools and setting alerts to avoid over‑provisioning. On the security side, encryption at rest and role‑based access controls are essential, and scalability is usually best handled by starting small and expanding capacity dynamically as workloads grow.

    If you're also exploring practical mobile and FRP bypass tools alongside cloud solutions, you can check out https://thegsmneofrp.com.mx/ - it's a resource focused on device management and security that complements broader cloud strategies.



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    Freddie
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    Original Message


  • 3.  RE: Optimal Use of Cloud Storage on IBM Cloud

    Posted 17 days ago
    Ask yourself these questions: 

    • What type of data am I storing? Answer: If it's unstructured (images, backups, logs, datasets) choose Object; if it's transactional data for a database choose Block; if you need a shared filesystem with POSIX semantics choose File. Object = scale, Block = performance, File = shared access.

    • How will my application access the data? Answer: Use HTTP/API access → Object; attachable disk/volume access → Block; NFS/SMB mounts → File. Match the access method to the storage interface to avoid re‑engineering later.

    • Do I need low latency and high IOPS? Answer: Yes → Block storage (designed for low latency and consistent IOPS). No, mostly large sequential transfers → Object with multipart/parallel uploads for throughput.

    • Will multiple hosts need concurrent read/write access? Answer: Yes and you need POSIX semantics → File storage. If only one host writes or you can coordinate access, Block or Object may be simpler and cheaper.

    • What are my cost and retention needs? Answer: Long‑term, infrequently accessed data → Object cold/archival tiers; active working sets that need performance → Block/File. Use lifecycle policies to move data from hot → warm → cold automatically.

    Workload need Recommended storage When to choose Key benefits Notes
    High scalability for unstructured data Object storage Large datasets, backups, media, data lakes Elastic scale; low cost per GB; HTTP API access Use lifecycle rules and tiers for cost control
    Low latency, high IOPS transactional workloads Block storage Databases, VM boot volumes, OLTP systems Consistent low latency; attachable volumes; high IOPS Right‑size IOPS and use multipathing for resilience
    Shared POSIX access across servers File storage CMS, shared home directories, analytics pipelines NFS/SMB semantics; concurrent access by multiple hosts Co‑locate with compute to reduce latency
    Long‑term archive and infrequently accessed data Object storage (cold tier) Compliance archives, cold backups Lowest storage cost; durable and searchable Automate transitions from hot → cold with policies
    Burst or parallel large object transfer Object storage with multipart uploads Media ingest, ML dataset staging High throughput via parallel parts Tune part size and client concurrency
    High throughput with many small files Scale‑out file or sharded block volumes Big data processing with many small I/O ops Aggregate IOPS across volumes; avoid single‑volume hotspots Shard datasets and distribute I/O across nodes
    Mixed needs (active + archive) Hybrid: block/file for hot, object for cold Applications with hot working set and large cold store Best balance of performance and cost Use lifecycle policies and co‑location strategies

    Workload need Object storage Block storage File storage
    Unstructured data at scale Best Limited Moderate
    Low-latency, high IOPS (DB/OLTP) Poor Best Moderate
    Shared POSIX access across servers Limited Poor Best
    Cost efficiency for archives Best Moderate Moderate
    Access method HTTP API Volume attach (VPC/VSIs) NFS/SMB

    Also see:  https://www.ibm.com/solutions/cloud-storage



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    Thomas Mertens
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    Original Message


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