Facebook Linkedin Youtube Weixin Envelope Phone
Phone Whatsapp Envelope

OneAsia proudly signed an MoU with Technological and Higher Education Institute of Hong Kong 香港高等教育科技學院 (THEi) to harness cutting-edge AI technologies -LLMs, GPU as a Service, and local dedicated storage – to enhance data sovereignty and privacy.

As part of this collaboration, OneAsia will develop a dedicated AI Agent AskTHEi, a secure, proprietary ChatGPT to ensure THEi’s domain knowledge remains within its own platform. AskTHEi will allow students and teachers to leverage AI tools seamlessly while safeguarding sensitive information. Additionally, OneAsia will provide GPU computing resources to support learning, teaching, and research at THEi.

“We’re honoured to partner with THEi, and sincerely thank Professor Alan Kin-tak Lau , President of THEi, for his trust in our team.” says Mr Charles Lee, Founder and CEO of OneAsia.” Since 2022, we stand out as the first local company to offer GPU services in Hong Kong. And in 2024, we pioneered the region’s largest supercomputing platform while delivering on-site operation service and support. With our hands-on experience and domain knowledge, we are confident in achieving our mission alongside THEi.”

As a leading AI Enabler, we are committed to empowering THEi by building AI Agents in industry vertical scenarios and explore more use cases in this evolving LLM generation and Agentic Era. This partnership will drive synergy in institutional and industry collaborations as well as local talent development.

Job Description:

We seek an experienced software developer to join our development team and collaborate with our product managers and engineers on all aspects of our software products, from data structure, algorithm, workflow, and UX design to implementation, delivery, and DevOps.

 

Initial responsibilities:

  • Assists the development and delivery of our HPC platform, developed in NodeJS, Rust, Python, PostgreSQL, Kubernetes, and Slurm
  • Assists in research and provisioning in deep learning and generative AI projects
  • Manage your time, work well independently, and be a good player in an agile team

Minimum requirements:

  • Bachelor in computer science, computer engineering, or equivalent discipline
  • 3+ years of working experience in software development
  • Experience in development under Linux or MacOS
  • Experience in deep learning, generative AI, LLM
  • Demonstrable projects

Preferred qualifications:

  • Adaptable, proactive, and willing to take ownership
  • Fast learner, passionate about building world-class software
  • Strong analytical, problem-solving, and communication skills
  • Fluent in English, Cantonese, and Mandarin
  • Good understanding of programming languages: NodeJS / Python / Rust / C++
  • Good knowledge of functional programming
  • 2+ years experience in PostgreSQL
  • Container technology and Kubernetes
  • Experienced in HPC, network management, or GPU programming

You have a career opportunity in gaining knowledge and experience in serving one of the largest Data Centre providers for local and international enterprise.

 

Attractive remuneration package and fringe benefits, including 5-day work, performance bonus, medical insurance with dental benefit, paid annual leave, sick leave, marriage, festival leave etc., will be offered to the right candidate.

 

Interested parties, please send your full resume stating with current and expected salary to the Head of Human Resources by clicking “Apply ”.

 

Equal employment opportunities apply to all applicants. All applications and data collected will be treated in strict confidence and used exclusively for recruitment purposes. Only short-listed candidates will be invited for interview. The company will retain the applications for a maximum period of 12 months and may refer suitable candidates to other vacancies within the Group.

Responsibilities:

  • Responsible for day-to-day operations support in data centre;
  • Attend service hotline and coordinate problem management processes;
  • Incident handling, problem troubleshooting and escalation to upper tier;
  • Operate computer equipment;
  • Coordinate and support external customers as needed

 

Requirements:

  • Responsible, willing to learn and with positive attitude;
  • Good communication skills, customer-oriented;
  • 12-hour shift, 4 days a week;
  • Exposure in data centre or service helpdesk will be an advantage;
  • Candidate with no working experience will be considered as Trainee; 
  • Fresh Graduates are also welcome;
  • Knowledge in Electrical / Mechanical / Fire Services / Building Services Engineering or related disciplines is an advantage

You have a career opportunity in gaining knowledge and experience in serving one of the largest Data Center providers for local and international enterprise.

Attractive remuneration package and fringe benefit will be offered to the right candidate. Interested parties, we appreciate if you must send your resume stating with current and expected salary to the Human Resources & Administration Department by filling the below information.

For more information, please visit our website at http://www.oneas1a.com 

Equal employment opportunities apply to all applicants. All applications and data collected will be treated in strict confidence and used exclusively for recruitment purposes. Only short-listed candidates will be invited for interview. The company will retain the applications for a maximum period of 12 months and may refer suitable candidates to other vacancies within the Group.

Business Continuity in the Cloud: A Modern Approach to Resilience

Blog / Business Continuity in the Cloud: A Modern Approach to Resilience
SHARE:

Introduction

In today’s digital landscape, business continuity planning (BCP) has become a critical priority for organizations worldwide. As businesses face increasing threats from natural disasters, cyber incidents, and other disruptions, traditional on-premises BCP solutions often fall short of meeting modern resilience requirements.

Cloud services have emerged as a transformative solution for implementing robust business continuity strategies, offering organizations unprecedented flexibility, scalability, and reliability in maintaining critical operations during unforeseen events.

By leveraging cloud technologies, businesses can not only protect their operations more effectively but also achieve greater cost efficiency and operational agility in their continuity planning.

WhatsApp Us
Email Us

What is Business Continuity in the Cloud?

Cloud-based business continuity is a strategic approach that ensures an organization’s essential functions continue during and after a disruption. Unlike traditional on-premises solutions, cloud-based business continuity operates on a shared responsibility model between the cloud provider and the customer. This modern approach encompasses everything from data backup and disaster recovery to application availability and workforce enablement, all powered by scalable cloud infrastructure.

Benefits of Implementing a BCP in the Cloud

Enhanced Resilience and Availability

Cloud providers offer geographically diverse data centers and redundant systems, ensuring high availability of applications and data even during localized disruptions. Organizations can maintain operations through automated failover systems and multi-region deployments.

Cost-Effective Scalability

Cloud-based BCP eliminates the need for expensive on-premises hardware and disaster recovery sites. The pay-as-you-go model allows organizations to scale resources based on actual needs, optimizing costs while maintaining comprehensive protection.

Rapid Recovery Capabilities

Cloud solutions enable faster recovery times through automated failover capabilities and distributed infrastructure. Organizations can resume operations within minutes rather than hours or days, minimizing downtime and its associated costs.

Enhanced Security and Compliance

Cloud providers invest heavily in security measures and compliance certifications, offering advanced security features and regular audits. The shared responsibility model ensures comprehensive protection while maintaining regulatory compliance.

Global Reach and Redundancy

Cloud-based BCP provides geographic redundancy and multi-region deployment options, ensuring that localized disasters don’t affect overall operations and enabling businesses to maintain service delivery worldwide.

Key Considerations for Implementing Cloud-Based Business Continuity

When implementing a cloud-based BCP solution, organizations should focus on several critical aspects:

  • Understanding the shared responsibility model with your cloud provider
  • Assessing and planning for various risk scenarios
  • Ensuring data sovereignty and compliance requirements are met
  • Evaluating network bandwidth and connectivity requirements
  • Implementing robust security protocols and encryption
  • Establishing clear Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO)
  • Developing comprehensive testing and validation procedures
  • Training staff and managing organizational change

Conclusion

As organizations continue to navigate an increasingly complex digital landscape, implementing a robust cloud-based BCP is no longer optional—it’s a strategic imperative. The right cloud solution can provide the scalability, security, and reliability needed to ensure business continuity in any situation.

Ready to enhance your business continuity strategy?

Contact OneAsia’s cloud experts for a personalized consultation.

Build a More Resilient Future with OneAsia’s Cloud BCP Solutions – Connect with Our Experts Today

As 2024 draws to a close, OneAsia is thrilled to celebrate a year of significant achievements and express our sincere gratitude to our clients, partners, and dedicated team. We recently enjoyed a wonderful holiday celebration together with our sister company, Newtech Technology, at the Legan Group annual dinner. It was a fantastic opportunity to reflect on a year of growth and look forward to an even brighter future.

Celebrating Our Team

Our success is a direct result of the hard work, dedication, and expertise of our incredible team. We extend our heartfelt appreciation to every member of the OneAsia Group. We are particularly grateful to the 10+ team members who have celebrated over 10 years of service with us. Your unwavering commitment and invaluable contributions have been instrumental to our growth.

We also warmly welcome all the new team members who have joined OneAsia this year. We are excited to have you on board and look forward to achieving great things together.

Looking Ahead to 2025

As we stand on the threshold of 2025, OneAsia is filled with optimism and excitement. We are ready to embrace new opportunities, overcome challenges, and continue our journey of innovation and expansion. We are confident that, together, we will make this year our best one yet!

Happy New Year from everyone at OneAsia!

AI Data Center Sustainability: Managing Power Consumption and Water Usage

Blog / AI Data Center Sustainability: Managing Power Consumption and Water Usage
SHARE:

Introduction

Ever since the advent of ChatGPT in November 2022, Artificial Intelligence has been a huge factor leading the growth of the data center industry. While this has pushed innovation and computing to new heights, it has also resulted in a significant increase in power and water consumption.

According to a CNBC article, the power requirements of AI and cloud computing are growing so big that soon, individual data center campuses can consume more power than entire cities. As AI continues to reshape industries and drive technological advancement, the sustainability of data centers has emerged as a crucial consideration for environmental responsibility and long-term economic viability.

WhatsApp Us
Email Us

The Growing Power Consumption of AI Data Centers

While data center power consumption remained relatively stable until 2019, it has grown astronomically over the last five years. This is primarily driven by the fact that data center efficiency gains have not been able to keep up with the rapid increase in computing power.

Data centers currently account for approximately 1-2% of global electricity usage. However, this figure is projected to rise significantly in the coming years. With the development of increasingly powerful AI chips, such as Nvidia’s Blackwell series, data center power consumption could reach nearly 4% of global energy usage by the end of the decade.

This surge in energy demand is accompanied by a corresponding increase in carbon dioxide emissions. Estimates suggest that data center emissions could more than double between 2022 and 2030, contributing to climate change and environmental concerns.

Water Usage in AI Data Centers: Why it Matters

Despite their digital nature, data centers are significant consumers of water, a fact often overlooked in discussions of environmental impact. As AI-powered technologies continue to grow, the demand for data processing and storage, and consequently, water-intensive cooling systems, is soaring. The average data center uses over 1.1 million litres of water a day, roughly equivalent to the water usage of 100,000 homes.

Balancing Power and Cooling Requirements

Effective data center management requires a delicate balance between maintaining optimal computing performance and minimizing environmental impact. AI Data center facilities must navigate complex challenges: scaling up power intake, maximizing cooling efficiency, ensuring robust security, and maintaining system resilience—all while remaining agile enough to evolve alongside rapidly changing technologies.

The key lies in creating infrastructure that is fundamentally modular and responsive. As rack densities continue to rise, data centers need adaptive designs that allow components to be reconfigured or expanded seamlessly as technological demands shift. This kind of flexibility is critical, enabling facilities to meet increasing computational requirements without compromising operational stability or sustainability.

Innovations in Power and Water Efficiency for AI Data Centers

Technological innovations are transforming data center sustainability through multifaceted approaches:

Liquid Cooling Technologies

Advanced liquid cooling systems can reduce water consumption by up to 90% compared to traditional air-cooling methods. These systems circulate specialized coolants that absorb heat more efficiently than air, dramatically reducing environmental impact.

Renewable Energy Integration

Leading tech companies are increasingly powering data centers with renewable energy sources like solar, wind, and hydroelectric power. Some facilities now operate with near-zero carbon footprints, setting new standards for sustainable computing infrastructure.

AI-Driven Efficiency Optimization

Ironically, AI is now being used to optimize its own infrastructure. Machine learning algorithms can predict and manage power distribution, cooling needs, and overall operational efficiency with unprecedented precision.

These AI-driven systems analyse complex data patterns to:

  • Anticipate cooling requirements
  • Optimize airflow
  • Dynamically identify energy-saving opportunities
  • Provide real-time insights into operational parameters

By enabling a proactive approach to infrastructure management, these technologies facilitate predictive maintenance, dynamically adjust power usage based on workload priorities, and ultimately contribute to reducing energy consumption and carbon emissions.

OneAsia Solution for AI Data Centers

OneAsia offers a cutting-edge, sustainable data center ecosystem designed to address the complex challenges of modern AI infrastructure. Through our proprietary OAsis AIOps portal, advanced server technologies, and comprehensive cooling solutions, we provide a competitive edge in performance and efficiency.

Our approach integrates renewable energy, flexible GPU resources, and robust cybersecurity, enabling organizations to scale their AI capabilities while maintaining a commitment to environmental sustainability.

Conclusion

The future of AI technology is intrinsically linked to our ability to develop sustainable computing infrastructure. As computational demands continue to escalate, the choices we make today will determine the environmental legacy of technological innovation.

The path forward requires collective action: investing in innovative cooling technologies, prioritizing renewable energy, leveraging AI for efficiency optimization, and designing infrastructure that is both powerful and environmentally conscious.

By prioritizing power and water efficiency and adopting a holistic approach to resource management, we can ensure that the transformative potential of AI is realized responsibly. Sustainable AI data centers represent more than a technical challenge—they are a critical pathway to a more efficient and intelligent digital future.

Feeling stressed about nurturing a team and securing the right GPU resources for your AI development? Let us help you!

At the heart of this revolutionary GenAI-in-a-Box solution is our proprietary AIOps Portal, OAsis, designed to simplify GenAI and GPU management on a centralised platform. Through OAsis Portal, clients gain full access to IBM watsonx, enjoying seamless GenAI deployment in just a few clicks. Effortlessly schedule computing workloads and scale resources, available in both cloud & on-premises deployment according to needs.

Our cutting-edge AI service platform, covering both hardware and software, caters to AI application development needs across sectors such as finance, government, aviation, higher education, and professional services.

As your trusted AI Factory Enabler, we provide:

  • Enable streamlined LLM training and AI applications development
  • Lower barriers to AI deployment
  • Reduced GPU expenses and training time with support from our specialized AI personnel
  • GPU-as-a-Service in public, private, and hybrid cloud environments hosted locally, with top-notch data security, eliminating cross-border data security concerns
  • On-premises GPU infrastructure available for clients with sensitive data security needs and sovereign AI requirements
  • Dedicated local AI experts supporting clients throughout their AI journey

OneAsia is here to INNOVATE, and ELEVATE Your AI Experience. Talk to us now! 

Enterprise Data Center

Blog / Enterprise Data Center
SHARE:

What is an Enterprise Data Center?

Enterprise Data Centers are data center facilities that are built, owned and operated by an organization to support their own IT needs. Unlike traditional data centers that provide IT services to a host of businesses, they are built to cater to the specific needs of that organization.

Although enterprise data centers demand significant upfront and ongoing maintenance costs, the benefits they offer are substantial. Organizations gain greater control over their IT environment, ensuring data security and compliance. Moreover, data centers provide the scalability and flexibility needed to accommodate evolving business needs and support critical applications.

Enterprise Data Center
WhatsApp Us
Email Us

What are the key Components of an Enterprise Data Center?

Servers

Servers are the engines that power data centers by providing memory and processing power. Most Enterprise datacenters deploy purpose-built servers tailored to their specific needs like Artificial Intelligence or Machine learning. They can be of different types such as Blade, Rackmount or Tower servers.

Network

A server’s network brings it online, allowing communication between the devices and connecting to local networks or the internet. Network infrastructure includes Switches, Routers, Hubs, Network bridges, Access points, Firewalls and cable modems.

Storage

Enterprise Data centers also require storage solutions to store information. These can be hard drives, Solid State Drives (SSD) or tape libraries. Cloud storage, of late, has seen widespread adoption for its reliability and security.

Software

A data center’s infrastructure comprises of numerous components and hence, it can be quite complex to manage. Data Center Infrastructure management (DCIM) software allows you to effectively manage and utilize your assets – increasing performance, efficiency, uptime and infrastructure visibility.

Physical Infrastructure

Physical Infrastructure of an Enterprise Data Center includes cabling, cooling and power systems.

Cabling: The cabling system is a crucial component that connects servers, switches, and other networking equipment.
Cooling: Effective data center thermal management is essential for ensuring equipment reliability, energy efficiency, preventing data loss, optimizing performance, safety, and cost.
Power: The power infrastructure includes power supply distribution, backup systems, and management tools to ensure uninterrupted and efficient data center operations.

Security

An Enterprise Data Center’s security infrastructure includes both cybersecurity technology as well as physical measures that are used to protect the Data Center’s assets and resources from potential threats.

What Are the Advantages of an Enterprise Data Center?

Even though creating an enterprise data center is expensive, there are several benefits, including:

Scalability

Enterprise Data Centers are built to adapt to the growth of the business. By adding or modifying key resources such as storage, servers and network, a data center can scale its data processing capacity and performance.

Control and Data security

Businesses have better control over their infrastructure and direct access to their servers when they operate in an Enterprise setting. You can set up programs that are unique to your company and install hardware that is proprietary.

Additionally, businesses can keep their own encryption keys and store their data internally in an enterprise data center. This is the reason why a lot of businesses are hesitant to go to the cloud.

Resource Allocation

Another benefit of a separate enterprise data center is the visibility it provides. Companies can use data center infrastructure management (DCIM) software to deploy a wide range of monitoring tools and track KPIs in real time.

Companies can forecast future needs and determine when to buy new equipment to expand their operations by monitoring the use of resources over time.

Compliance

Sensitive information handling organizations are subject to regulations. For instance, the Health Insurance Portability and Accountability Act (HIPAA – U.S.A) requires businesses that store patient health information to have several security measures in place.

Businesses may make sure their servers are compliant and offer the paperwork to support it by managing everything internally. Cloud services are still available to businesses that hold sensitive data, but they have to abide by all legal requirements.

Software Compatibility

Companies that still use legacy software may find it difficult to transition to the cloud, even as more people around the world embrace modern technology.

Enterprise data centers allow companies to continue running legacy systems that may not be supported elsewhere.

Components server

How is an Enterprise Data Center different from other types of Data Centers?

While all Data Center facilities provide space and infrastructure for IT equipment, there are key differences between Enterprise Data Centers and other types of Data Centers.

Ownership

An Enterprise Data Center is fully owned and operated by the organization to meet their IT infrastructure needs.

Location

Enterprise Data Centers are usually located on premises or at a location that allows access, connectivity and minimizes latency to the parent organization’s operations.

Customization

Businesses can choose the best software, supporting hardware and optimal network configurations for their Enterprise Data Centers. They can also be customized to integrate with the company’s existing systems such as legacy software that other data centers and Colocation providers no longer operate.

Control

Organizations have more control over their data and operations in an enterprise data center compared to a colocation facility.

Cost

Enterprise data centers can be more expensive to build and maintain, but they may offer long-term cost savings due to greater control and flexibility.

Conclusion

As technology continues to evolve, enterprise data centers are also undergoing significant transformations. Trends such as cloud computing, edge computing, and artificial intelligence are driving the need for more flexible, scalable, and efficient data center solutions.

Enterprise data centers are essential for organizations that rely on IT to support their operations. By understanding the key components, benefits, and challenges associated with enterprise data centers, businesses can make informed decisions about their IT infrastructure and ensure its long-term success.

FAQ

An Enterprise Data Centre is a dedicated facility owned and exclusively operated by an organization, providing comprehensive control over infrastructure, security, and technological resources. On the other hand, a Colocation Data Centre is a professional shared facility where organizations lease sophisticated infrastructure, leveraging the provider’s physical security, power systems, cooling infrastructure, and network connectivity. Clients maintain ownership and management of their specific IT equipment while benefiting from shared premium infrastructure.

The key challenges in managing an Enterprise Data Centre include:

  • Maintaining continuous operational reliability and minimal downtime
  • Implementing strategic capacity planning and resource optimization
  • Ensuring robust cybersecurity and physical infrastructure protection
  • Managing complex technological ecosystems
  • Controlling substantial capital and operational expenditures
  • Developing sustainable and energy-efficient operational models.

Data Centre Infrastructure Management (DCIM) software provides comprehensive technological oversight by:

  • Delivering real-time, holistic monitoring of critical infrastructure parameters
  • Facilitating predictive capacity planning and resource allocation
  • Enabling advanced asset tracking and management
  • Automating operational workflows
  • Supporting remote infrastructure management
  • Optimizing power consumption and cooling efficiency.

Data Center Disaster Recovery Plan Checklist

Blog / Data Center Disaster Recovery Plan Checklist
SHARE:

What is a Data Centre Disaster Recovery Plan?

A Data Centre Disaster Recovery Plan is an organization’s roadmap to recover and restore its IT infrastructure and operations when its primary data centre is compromised after an unplanned incident. It relies on the replication of data and processing to a secondary location that has not been affected to minimize downtime as much as possible.

The plan consists of steps to minimize the effects of a disaster so the organization can continue to operate or quickly resume mission-critical functions. Typically, a DRP involves an analysis of business processes and continuity needs.

Organizations must clearly define their data protection and recovery strategies against natural disasters such as earthquakes as well as man-made threats like cyber-attacks. The capacity to handle such incidents with minimal downtime can limit material as well as reputational damage.

WhatsApp Us
Email Us

What are the benefits of having a Data Centre Disaster Recovery Plan to your business?

Business continuity

A Disaster Recovery Plan ensures that key business functions including people, processes and technology can continue to operate.  This allows employees to continue working with the least disruption.

Data protection

Backups are an important element of a Disaster Recovery Plan. It protects the organization from data loss or corruption as well as provide data safety and accessibility.

Enhanced resilience

A DRP enhances resilience by enabling you to adapt swiftly to unexpected situations. Regularly testing and updating your DRP will help identify and eliminate weaknesses and strengthen the plan, thereby improving overall resilience against potential threats.

Compliance

Most industries have strict compliance regulations such as FINRA (US) or ESMA (Europe).  A robust disaster recovery plan ensures your organization’s operations and processes align with industry standards and legal requirements, assisting in regulatory compliance.

Reduced losses and liabilities

Although implementing a DRP has upfront costs, it can save a lot of money by preventing financial losses due to downtime and data loss. A DRP also protects an organization against a plethora of legal liabilities.

Stakeholder confidence and reputation

Having a well-structured disaster recovery plan showcases your organization’s preparedness and commitment to operational reliability. This helps maintain confidence among stakeholders, including customers, investors and employees, while helping to maintain a strong brand reputation.

What are the components that an Essential Checklist for Disaster Recovery Plan should include?

Here are some essential components to include in your data centre disaster recovery plan checklist:

1. Risk Assessment


Identify Potential Threats: Conduct a thorough analysis of factors that could disrupt operations, including:

  • Geopolitical Events: Assess risks related to conflicts or political instability.
  • Natural Disasters: Consider the impact of hurricanes, earthquakes, floods, or wildfires.
  • Infrastructure Failures: Evaluate vulnerabilities to power outages and communication disruptions.
  • Cybersecurity Threats: Identify potential risks from data breaches, ransomware, and system failures.

2. Business Impact Analysis (BIA)


Determine Critical Functions: Analyze how identified risks can affect business operations. Focus on:

  • Which functions are essential for maintaining operations?
  • What is the acceptable downtime for each critical function?

Prioritize Based on Impact: Rank functions according to financial implications, service quality, reputational risks, and regulatory compliance.

3. Recovery Objectives


Develop Recovery Strategies: Formulate actionable plans for restoring operations post-disaster:

  • Recovery Time Objective (RTO): Define the maximum acceptable downtime for critical systems.
  • Recovery Point Objective (RPO): Establish the maximum tolerable data loss in terms of time.

Establish a Recovery Team: Assemble a dedicated disaster recovery team with well-defined roles and responsibilities.

4. Roles and Responsibilities


Clarify Team Roles: Clearly outline the responsibilities of each team member during a crisis.
Include Contingency Plans: Develop backup roles for key personnel to ensure continuity of operations.

5. Testing Strategies


Conduct Regular Tests: Schedule ongoing testing of your disaster recovery plan to ensure effectiveness:

  • Simulations and Mock Drills: Implement exercises to identify potential gaps in the plan.
  • Continuous Improvement: Use the results from testing to refine recovery procedures and enhance team preparedness.

6. Disaster Response Procedures


Emergency Response:

  • Establish Protocols: Define clear steps to mitigate damage and ensure safety during a disaster.
  • Governance Structure: Designate approval authority for activating the recovery plan.

Backup Operations:

  • Maintain Continuity: Outline procedures for sustaining operations during disruptions.

Recovery Activities:

  • Restore Normalcy: Provide guidelines for efficiently resuming standard operations after a disaster.

7. Infrastructure Recovery


Inventory Management: Maintain a detailed inventory of all IT assets, including:

  • Cost, model, serial number, manufacturer, and ownership status (rented or owned).

Preparedness: Ensure this information is readily accessible for prompt replacement of lost or damaged equipment.

8. Prevention and Mitigation


Develop Risk Mitigation Strategies: Create proactive measures to reduce risks and enhance resilience.
Regularly Update Plans: Continuously review and adapt strategies to reflect emerging threats.

9. Disaster Recovery Sites


Identify Alternative Sites: Prepare backup data centre locations equipped with necessary infrastructure and capacity.
Ensure Operational Readiness: Validate that these sites can support IT operations during a disaster.

10. Communication Plan


Establish Clear Communication Channels: Develop a strategy for informing stakeholders during a disaster.
Designate Spokespersons: Ensure that designated individuals are responsible for communication to maintain clarity and consistency.

11. Regulatory Compliance


Align with Standards: Ensure that the disaster recovery plan adheres to industry regulations and standards.
Documentation: Maintain thorough records for compliance audits and reviews.

12. Review and Maintenance


Regular Plan Reviews: Schedule periodic evaluations of the disaster recovery plan to ensure its relevance and effectiveness.
Adapt to Change: Update the plan as necessary based on technological advancements, business changes, and evolving risks.

How to design an effective data centre recovery strategy?

Redundant Systems

Implement redundant power supplies, network connections, and hardware to eliminate single points of failure. This ensures that if one component fails, others can take over, maintaining operational continuity.

Regular Backups

Schedule frequent backups of critical data to minimize potential loss. Utilize a combination of on-site and off-site storage solutions to enhance data security and accessibility.

Geographically Dispersed Data Centres

Leverage multiple data centres situated in diverse geographic locations. This strategy provides data redundancy and availability, safeguarding against regional disruptions.

Automated Failover

Deploy automated failover systems to ensure a seamless transition of operations to a secondary site in the event of a primary site failure. This minimizes downtime and maintains service availability.

Continuous Monitoring

Establish continuous monitoring of systems to detect potential issues early. Proactively addressing these concerns helps prevent disruptions and maintain system integrity.

Regularly Update the Disaster Recovery Plan

Conduct regular reviews and updates of the disaster recovery plan. Adapt the plan to reflect changes in technology, business operations, and emerging threats to ensure its effectiveness.

Conclusion

Having a well-defined Data Centre Disaster Recovery Plan is not just a best practice—it’s a necessity. By implementing a comprehensive recovery strategy, organizations can ensure their resilience against both natural disasters and cyber threats. A robust DRP not only safeguards vital data but also enhances business continuity, builds stakeholder confidence, and helps maintain regulatory compliance. As threats continue to evolve, regularly updating and testing your disaster recovery strategies will empower your organization to adapt and thrive, regardless of the challenges faced.

We are honoured to participate in IBM HK Technology Forum and showcase our capabilities as an Inside Out AI Factory Enabler! It’s a valuable opportunity to connect with clients and industry peers, and to share our expertise in AI innovation.

Thanks IBM for organizing this amazing event and for their commitment to fostering innovation in Hong Kong’s AI ecosystem! We are also proud to be a part of this journey and introduce our AI-ready data centre, on-demand cloud GPU service, and on-premises liquid cooling GPU rack in the event. As IBM watsonx is now embedded in OAsis platform, OneAsia can help enterprises deploy their own Gen AI with just a few clicks!

Ready to explore the power of AI? Reach out to us and schedule a call/site visit now at https://www.oneas1a.com/contact/

Facebook-f Linkedin-in Youtube Envelope Phone

Data Centre Colocation

Connectivity

Managed Services

Cloud/Computing Solutions

RESOURCES

CASE STUDIES

ABOUT

CONTACT US

Copyright ©2025 OneAsia Network Limited
General Terms and Conditions / Disclaimer