III. Data Center Computing Resources
21. Server types: Tower (standalone deployment), Rack-mount (high density), Blade server (modular), GPU server (accelerated computing)
22. CPU architecture: x86 (mainstream), ARM (low power), domestic chips (Loongson, Phytium), etc.
23. Memory Technology: DDR4/DDR5 memory, ECC error correction technology, and hot-swappable memory ensure data reliability.
24. Virtualization technologies: VMware ESXi, KVM, Hyper-V, which divide physical servers into multiple virtual machines.
25. Container technologies: Docker (lightweight application packaging) and Kubernetes (container orchestration) accelerate application deployment and management.
26. Cloud computing services: IaaS (Infrastructure as a Service), PaaS (Platform as a Service), SaaS (Software as a Service).
27. Edge computing: Processing data at edge nodes close to the data source reduces latency and bandwidth pressure.
28. Heterogeneous computing: Combining chips with different architectures such as CPU, GPU, FPGA, and ASIC to achieve collaborative computing power.
29. Serverless computing: Users do not need to manage servers and pay only for usage. It is suitable for event-driven applications.
30. Bare metal servers: Provide dedicated physical server resources, combining high performance and flexibility, and are suitable for high-load scenarios such as databases.
IV. Data Center Security Management
31. Physical security: access control system, video surveillance, biometric identification (fingerprint/iris recognition), restricting access to the computer room.
32. Network security: firewalls, intrusion detection systems (IDS), intrusion prevention systems (IPS), and DDoS attack protection.
33. Data security: encryption at rest (hard drive encryption), encryption in transit (SSL/TLS), access control (RBAC).
34. Compliance requirements: GDPR (EU Data Protection Regulation) and China Cybersecurity Classified Protection 2.0.
35. Zero Trust Architecture: By default, no access is trusted, and data security is ensured through continuous verification and authorization.
36. Security Audit: Record operation logs, monitor abnormal behavior, and meet compliance review requirements.
37. Data anonymization: Transform sensitive data (e.g., replace or encrypt) to prevent the risk of leakage.
38. Security Domain Division: Isolate business systems with different security levels through VLANs and firewall policies.
39. Vulnerability Scanning: Regularly detect system weaknesses, fix security vulnerabilities, and reduce the risk of attacks.
40. Disaster recovery drills: Simulate scenarios such as fires and power outages to verify the effectiveness of emergency plans.