The Good Tech Companies - Migrate to AI-Ready Infrastructure: Hitachi Content Platform to MinIO

Episode Date: September 3, 2024

This story was originally published on HackerNoon at: https://hackernoon.com/migrate-to-ai-ready-infrastructure-hitachi-content-platform-to-minio. Developed to support customers' evolving storage needs, the HCP-to-MinIO tool is freely available on GitHub and greatly simplifies the migration process. Check more stories related to cloud at: https://hackernoon.com/c/cloud. You can also check exclusive content about #minio, #minio-blog, #hitachi, #minio-hitachi-content-platform, #hcp-to-minio, #kubernetes, #data-storage, #good-company, and more. This story was written by: @minio. Learn more about this writer by checking @minio's about page, and for more stories, please visit hackernoon.com. HCP-to-MinIO is a tool to migrate from Hitachi Content Platform to MinIO. MinIO is Kubernetes-native and built for the cloud operating model. It inherently supports most modern application stacks for analytics, statistical analysis and AI/ML workloads.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. Migrate to AI-ready infrastructure, Hitachi Content Platform to Minio. By Minio. Transitioning from Hitachi Content Platform, HCP, to Minio has never been easier, thanks to our HCP to Minio tool. Developed to support our customers' evolving storage needs, this tool is freely available on GitHub and greatly simplifies the migration process. Many organizations are transitioning to leverage Minio's modern, scalable, and high-performance object storage optimized for AI infrastructure.

This tutorial provides a comprehensive step-by-step guide to ensure a smooth and efficient transition to Minio. Why transition to Minio? Customers often migrate from HCP to Minio for several compelling reasons, particularly when optimizing for AI-driven applications. 1. Modern application requirements. Minio is Kubernetes native and built for the cloud operating model, which means that it inherently supports most modern application stacks for analytics, statistical analysis, and AI, ML workloads. Backslash.2. Performance at scale. Minio efficiently handles mixed object sizes, from very small to very large, ensuring optimal performance for data-intensive AI operations.

Backslash.3. Flexibility. Software-defined, S3-compatible object storage offers greater flexibility and cloud neutrality compared to dedicated storage appliances. HCP to Minio migration process During migration, it's recommended to write exclusively to Minio and not to HCP. This approach ensures you start as you plan to go on, using Minio as your primary object store. Here's the process 1. Initial read operations. While migrating, calls are directed to Minio as your primary object store. Here's the process 1. Initial read operations. While migrating, calls are directed to Minio. If an object isn't found, it's read from HCP. Once all objects are copied, this fallback can be removed. Backslash dot 2. Preserving metadata. The tool retains the modified timestamps of objects during

the migration. Step 1. Create a temporary directory. After downloading the HCP to Minio tool the first step is to create a temporary directory for the results of the list command in step 2. Next, set the following environment variables. Step 2. List objects in HCP. The command generates a list of objects stored in HCP and saves it to a local file. This file can be split into smaller lists and processed in parallel by multiple client machines to speed up the migration. Here is the command and an example of what it might look like. Step 3. Migrate objects to Minio The command uses the list generated in the first step to transfer objects from HCP to Minio. The command the example get started the HCP

to Minio tool is designed to help you move to a modern, scalable object storage solution. Download the tool from GitHub and start your migration today. For any questions or additional support, contact us at hello at min.io. Thank you for listening to this HackerNoon story, read by Artificial Intelligence. Visit HackerNoon.com to read, write, learn and publish.