We conducted a migration to the new server after investigating and organizing the specifications of the existing server, followed by the design, implementation, and testing phases.
We will introduce "Linux Server Replacement/Migration." "Server replacement/migration" refers to the process of replacing aging existing servers with new ones or servers that have equivalent functionality. Our company has conducted migration work for servers that have been in use for over 10 years. The risks of failure due to aging, as well as the difficulty of migrating old systems to new servers, increase with the passage of time. Additionally, if individuals with server knowledge leave the site, the project timeline may extend. It is advisable to plan in advance to allow for maintenance every five years if possible. 【Details】 ■ Since most of the documentation from that time is no longer available, we conducted the migration to the new server through the phases of investigating and organizing the specifications of the existing server, followed by design, implementation, and testing. *For more details, please refer to the related links or PDF materials, or feel free to contact us.
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What is the appropriate timing for server replacement/migration? ■ Generally, it is advisable to do it every five years. *For more details, please refer to the related links or PDF materials, or feel free to contact us.*
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For more details, please refer to the related links or the PDF materials, or feel free to contact us.
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Founded in 2007, primarily engaged in control system software development. In recent years, we have been involved in cloud development due to current trends. We focus on IoT software development and undertake commissioned software development for major companies for the software of embedded devices. Since 2019, we have also been focusing on improving operational efficiency through data utilization and software implementation, supporting our clients in solving their challenges. We address customer issues with a one-stop solution across the following three layers: Edge layer (data collection) Cloud layer (data storage, visualization) Data utilization (guiding business challenges)
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