# CPU需求评估
# OLTP系统：CPU核心数 = 并发连接数 / 50
# 例如：500并发连接 = 500 / 50 = 10核心

# 内存需求评估
# 总内存 = 缓冲池 + 排序堆 + 包缓存 + 锁列表 + 系统预留
# 例如：
# 缓冲池：16GB
# 排序堆：2GB
# 包缓存：1GB
# 锁列表：1GB
# 系统预留：4GB
# 总计：24GB

# 存储需求评估
# 总存储 = 数据文件 + 索引文件 + 日志文件 + 临时文件 + 备份文件
# 例如：
# 数据文件：100GB
# 索引文件：20GB
# 日志文件：10GB
# 临时文件：10GB
# 备份文件：100GB
# 总计：240GB

# 网络需求评估
# 带宽 = 并发连接数 * 单连接流量
# 例如：100并发 * 1MB/s = 100MB/s = 800Mbps

# AWS EC2实例配置示例
# 实例类型：r5.4xlarge
# vCPU：16
# 内存：128GB
# 存储：GP3 SSD 500GB
# 网络：10Gbps

# Azure虚拟机配置示例
# 实例类型：Standard_E16s_v3
# vCPU：16
# 内存：128GB
# 存储：Premium SSD 500GB
# 网络：高速网络

# 私有云VMware配置示例
# vCPU：16
# vRAM：128GB
# vDisk：500GB Thick Provision Eager Zeroed
# 网络：VMXNET3

# 存储配置建议
# 数据文件：SSD，IOPS > 3000
# 日志文件：SSD，IOPS > 5000
# 备份文件：HDD或对象存储

# 使用IBM Cloud CLI部署DB2
# 1. 安装IBM Cloud CLI
curl -sL https://ibm.biz/idt-installer | bash

# 2. 登录IBM Cloud
ibmcloud login

# 3. 创建DB2实例
ibmcloud resource service-instance-create \
my-db2-instance \
dashdb-for-transactions \
standard \
us-south

# 4. 创建服务密钥
ibmcloud resource service-key-create \
my-db2-key \
Administrator \
–instance-name my-db2-instance

# 5. 获取连接信息
ibmcloud resource service-key my-db2-key

# 6. 连接到DB2
db2 connect to BLUDB user using host port 50001

# 使用Terraform部署
terraform {
required_providers {
ibm = {
source = “IBM-Cloud/ibm”
}
}
}

resource “ibm_resource_instance” “db2_instance” {
name = “my-db2-instance”
service = “dashdb-for-transactions”
plan = “standard”
location = “us-south”
}

# 使用AWS CLI部署DB2
# 1. 创建EC2实例
aws ec2 run-instances \
–image-id ami-0abcdef1234567890 \
–count 1 \
–instance-type r5.4xlarge \
–key-name my-key-pair \
–security-group-ids sg-12345678 \
–subnet-id subnet-12345678 \
–block-device-mappings ‘[{“DeviceName”:”/dev/sda1″,”Ebs”:{“VolumeSize”:500,”VolumeType”:”gp3″}}]’

# 2. 安装DB2
# SSH到实例
ssh -i my-key-pair.pem ec2-user@

# 下载并安装DB2
wget https://public.dhe.ibm.com/ibmdl/export/pub/software/data/db2/express/ibm_data_server_driver_package_linuxx64_v11.5.tar.gz
tar -xzf ibm_data_server_driver_package_linuxx64_v11.5.tar.gz
./db2_install

# 3. 配置安全组
aws ec2 authorize-security-group-ingress \
–group-id sg-12345678 \
–protocol tcp \
–port 50000 \
–cidr 10.0.0.0/8

# 使用CloudFormation部署
AWSTemplateFormatVersion: ‘2010-09-09’
Resources:
DB2Instance:
Type: AWS::EC2::Instance
Properties:
InstanceType: r5.4xlarge
ImageId: ami-0abcdef1234567890
KeyName: my-key-pair
SecurityGroupIds:
– !Ref DB2SecurityGroup
BlockDeviceMappings:
– DeviceName: /dev/sda1
Ebs:
VolumeSize: 500
VolumeType: gp3

# 使用Ansible自动化部署
– name: Deploy DB2 on Cloud
hosts: db2_servers
become: yes
tasks:
– name: Install DB2 prerequisites
yum:
name:
– libaio
– numactl
– pam
state: present

– name: Create DB2 users
user:
name: db2inst1
group: db2iadm1
shell: /bin/bash

– name: Install DB2
command: ./db2_install -b /opt/ibm/db2/V11.5

– name: Create DB2 instance
command: /opt/ibm/db2/V11.5/instance/db2icrt -u db2fenc1 db2inst1

– name: Start DB2 instance
become_user: db2inst1
command: db2start

– name: Create database
become_user: db2inst1
command: db2 create database FGEDB

# 使用Terraform管理云资源
resource “aws_instance” “db2_instance” {
ami = “ami-0abcdef1234567890”
instance_type = “r5.4xlarge”

tags = {
Name = “DB2-Production”
}
}

resource “aws_ebs_volume” “db2_data” {
availability_zone = “us-east-1a”
size = 500
type = “gp3”

tags = {
Name = “DB2-Data”
}
}

# 云监控配置
# AWS CloudWatch监控
# 1. CPU使用率
aws cloudwatch put-metric-alarm \
–alarm-name db2-cpu-high \
–alarm-description “DB2 CPU usage high” \
–metric-name CPUUtilization \
–namespace AWS/EC2 \
–statistic Average \
–period 300 \
–threshold 80 \
–comparison-operator GreaterThanThreshold \
–dimensions Name=InstanceId,Value=i-1234567890abcdef0 \
–evaluation-periods 2 \
–alarm-actions arn:aws:sns:us-east-1:123456789012:db2-alerts

# 2. 内存使用率
aws cloudwatch put-metric-alarm \
–alarm-name db2-memory-high \
–alarm-description “DB2 memory usage high” \
–metric-name MemoryUtilization \
–namespace System/Linux \
–statistic Average \
–period 300 \
–threshold 90 \
–comparison-operator GreaterThanThreshold

# 3. 磁盘使用率
aws cloudwatch put-metric-alarm \
–alarm-name db2-disk-high \
–alarm-description “DB2 disk usage high” \
–metric-name DiskSpaceUtilization \
–namespace System/Linux \
–statistic Average \
–period 300 \
–threshold 85 \
–comparison-operator GreaterThanThreshold

# IBM Cloud监控
# 使用IBM Cloud Monitoring服务
ibmcloud monitoring instance-create my-monitoring-instance