CompTIA Server+
1 Server Hardware
1-1 Server Types
1-1 1 Rack Servers
1-1 2 Tower Servers
1-1 3 Blade Servers
1-1 4 Micro Servers
1-1 5 Hyper-converged Infrastructure
1-1 6 Virtual Servers
1-2 Server Components
1-2 1 CPUs
1-2 2 Memory (RAM)
1-2 3 Storage Devices
1-2 4 Power Supply Units (PSUs)
1-2 5 Cooling Systems
1-2 6 Network Interface Cards (NICs)
1-2 7 Batteries and Uninterruptible Power Supplies (UPS)
1-2 8 Chassis and Enclosures
1-3 Server Form Factors
1-3 1 ATX
1-3 2 EATX
1-3 3 MicroATX
1-3 4 Mini-ITX
1-3 5-1U, 2U, 4U
1-4 Server Management
1-4 1 Remote Management Interfaces
1-4 2 Out-of-Band Management
1-4 3 In-Band Management
1-4 4 KVM (Keyboard, Video, Mouse) Switches
1-4 5 Serial Console
2 Server Virtualization
2-1 Virtualization Concepts
2-1 1 Hypervisors
2-1 2 Type 1 Hypervisors
2-1 3 Type 2 Hypervisors
2-1 4 Virtual Machines (VMs)
2-1 5 Virtual Disks
2-1 6 Virtual Networking
2-2 Virtualization Platforms
2-2 1 VMware vSphere
2-2 2 Microsoft Hyper-V
2-2 3 Citrix XenServer
2-2 4 KVM (Kernel-based Virtual Machine)
2-3 Virtual Machine Management
2-3 1 VM Creation
2-3 2 VM Configuration
2-3 3 VM Migration
2-3 4 VM Cloning
2-3 5 VM Snapshots
2-4 Resource Management
2-4 1 CPU Allocation
2-4 2 Memory Allocation
2-4 3 Storage Allocation
2-4 4 Network Allocation
3 Server Storage
3-1 Storage Technologies
3-1 1 Direct-Attached Storage (DAS)
3-1 2 Network-Attached Storage (NAS)
3-1 3 Storage Area Network (SAN)
3-1 4 Object Storage
3-1 5 Cloud Storage
3-2 Storage Protocols
3-2 1 SCSI (Small Computer System Interface)
3-2 2 SATA (Serial Advanced Technology Attachment)
3-2 3 SAS (Serial Attached SCSI)
3-2 4 iSCSI (Internet Small Computer System Interface)
3-2 5 Fibre Channel
3-2 6 NFS (Network File System)
3-2 7 SMBCIFS (Server Message BlockCommon Internet File System)
3-3 RAID (Redundant Array of Independent Disks)
3-3 1 RAID 0
3-3 2 RAID 1
3-3 3 RAID 5
3-3 4 RAID 6
3-3 5 RAID 10
3-3 6 RAID Levels Comparison
3-4 Storage Management
3-4 1 Disk Partitioning
3-4 2 File Systems
3-4 3 Volume Management
3-4 4 Backup and Recovery
3-4 5 Data Deduplication
4 Server Networking
4-1 Network Protocols
4-1 1 TCPIP
4-1 2 DNS (Domain Name System)
4-1 3 DHCP (Dynamic Host Configuration Protocol)
4-1 4 HTTPHTTPS
4-1 5 FTP (File Transfer Protocol)
4-1 6 SMTP (Simple Mail Transfer Protocol)
4-1 7 SNMP (Simple Network Management Protocol)
4-2 Network Configuration
4-2 1 IP Addressing
4-2 2 Subnetting
4-2 3 VLANs (Virtual Local Area Networks)
4-2 4 Routing
4-2 5 Firewall Configuration
4-3 Network Services
4-3 1 Web Servers
4-3 2 Mail Servers
4-3 3 File Servers
4-3 4 Print Servers
4-3 5 Database Servers
4-4 Network Security
4-4 1 Encryption
4-4 2 Authentication
4-4 3 Access Control
4-4 4 Intrusion Detection and Prevention
4-4 5 VPN (Virtual Private Network)
5 Server Maintenance and Troubleshooting
5-1 Hardware Maintenance
5-1 1 Component Replacement
5-1 2 Firmware Updates
5-1 3 Driver Updates
5-1 4 Regular Cleaning
5-2 Software Maintenance
5-2 1 Operating System Updates
5-2 2 Application Updates
5-2 3 Patch Management
5-2 4 Backup Procedures
5-3 Troubleshooting Techniques
5-3 1 Diagnostic Tools
5-3 2 Error Logs
5-3 3 System Monitoring
5-3 4 Performance Tuning
5-4 Disaster Recovery
5-4 1 Backup Strategies
5-4 2 Restore Procedures
5-4 3 Failover and Failback
5-4 4 Business Continuity Planning
6 Server Security
6-1 Security Concepts
6-1 1 Confidentiality
6-1 2 Integrity
6-1 3 Availability
6-2 Security Measures
6-2 1 Physical Security
6-2 2 Network Security
6-2 3 Data Encryption
6-2 4 User Authentication
6-2 5 Role-Based Access Control (RBAC)
6-3 Security Protocols
6-3 1 SSLTLS
6-3 2 SSH (Secure Shell)
6-3 3 IPSec
6-3 4 Kerberos
6-4 Security Best Practices
6-4 1 Regular Audits
6-4 2 Security Policies
6-4 3 Incident Response
6-4 4 Compliance
7 Server Administration
7-1 User Management
7-1 1 User Accounts
7-1 2 Group Management
7-1 3 Permissions and Access Rights
7-1 4 Password Policies
7-2 System Configuration
7-2 1 Time and Date Settings
7-2 2 Network Configuration
7-2 3 Resource Allocation
7-2 4 Service Management
7-3 Monitoring and Reporting
7-3 1 Performance Monitoring
7-3 2 Resource Utilization
7-3 3 Event Logs
7-3 4 Reporting Tools
7-4 Automation and Scripting
7-4 1 Task Automation
7-4 2 Scripting Languages
7-4 3 Configuration Management Tools
8 Server Compliance and Standards
8-1 Industry Standards
8-1 1 ISO Standards
8-1 2 ITIL (Information Technology Infrastructure Library)
8-1 3 COBIT (Control Objectives for Information and Related Technologies)
8-2 Regulatory Compliance
8-2 1 GDPR (General Data Protection Regulation)
8-2 2 HIPAA (Health Insurance Portability and Accountability Act)
8-2 3 PCI DSS (Payment Card Industry Data Security Standard)
8-3 Best Practices
8-3 1 Documentation
8-3 2 Change Management
8-3 3 Risk Management
8-3 4 Continuous Improvement
3-4-5 Data Deduplication Explained

3-4-5 Data Deduplication Explained

Key Concepts

Data Deduplication

Data deduplication is a data compression technique used to eliminate duplicate copies of repeating data. This process helps in reducing storage space and improving storage efficiency by storing only one instance of each unique data block.

Chunking

Chunking is a method used in data deduplication where files are divided into smaller, fixed-size or variable-size blocks. Each block is then analyzed to determine if it is unique. If a block is found to be identical to a previously stored block, it is not stored again, but a reference to the existing block is created instead.

Fingerprinting

Fingerprinting is the process of creating a unique identifier for each data block. This identifier, often a hash value, is used to quickly compare blocks and determine if they are duplicates. If the fingerprint of a new block matches an existing one, the block is considered a duplicate and not stored again.

Data Reduction

Data reduction refers to the overall reduction in the amount of data stored due to deduplication. By eliminating redundant data, storage systems can achieve significant space savings, which can lead to cost savings and improved performance. Data reduction rates can vary depending on the type of data and the deduplication method used.

Use Cases

Data deduplication is commonly used in various scenarios to optimize storage resources:

Examples and Analogies

Think of data deduplication as organizing a library. Instead of keeping multiple copies of the same book on different shelves, you keep one copy and create a catalog that points to the single copy. This saves space and makes it easier to manage the collection.

Another analogy is a recipe box. If you have multiple recipes that call for the same ingredient, you only need to write down the ingredient once. The other recipes can reference the same ingredient, saving space and making it easier to find the information you need.