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Veritas InfoScale™ 8.0.2 Solutions in Cloud Environments
Last Published:
2024-02-14
Product(s):
InfoScale & Storage Foundation (8.0.2)
Platform: Linux,Windows
- Overview and preparation
- Overview of InfoScale solutions in cloud environments
- InfoScale agents for monitoring resources in cloud environments
- InfoScale FSS feature for storage sharing in cloud environments
- InfoScale non-FSS feature for storage sharing in cloud environments
- About SmartIO in AWS environments
- Preparing for InfoScale installations in cloud environments
- Installing the AWS CLI package
- VPC security groups example
- Configurations for Amazon Web Services - Linux
- Configurations for Amazon Web Services - Windows
- Replication configurations in AWS - Windows
- HA and DR configurations in AWS - Windows
- EBS Multi-Attach feature support with InfoScale Enterprise in AWS cloud
- InfoScale service group configuration wizards support for EBS Multi-Attach
- Failover within a subnet of an AWS AZ using virtual private IP - Windows
- Failover across AWS subnets using overlay IP - Windows
- Public access to InfoScale cluster nodes in AWS using Elastic IP - Windows
- DR from on-premises to AWS and across AWS regions or VPCs - Windows
- DR from on-premises to AWS - Windows
- Configurations for Microsoft Azure - Linux
- Configurations for Microsoft Azure - Windows
- Replication configurations in Azure - Windows
- HA and DR configurations in Azure - Windows
- Shared disk support in Azure cloud and InfoScale service group configuration using wizards
- Failover within an Azure subnet using private IP - Windows
- Failover across Azure subnets using overlay IP - Windows
- Public access to cluster nodes in Azure using public IP - Windows
- DR from on-premises to Azure and across Azure regions or VNets - Windows
- Configurations for Google Cloud Platform- Linux
- Configurations for Google Cloud Platform - Windows
- Replication to and across cloud environments
- Migrating files to the cloud using Cloud Connectors
- About cloud connectors
- About InfoScale support for cloud connectors
- How InfoScale migrates data using cloud connectors
- Limitations for file-level tiering
- About operations with Amazon Glacier
- Migrating data from on-premise to cloud storage
- Reclaiming object storage space
- Removing a cloud volume
- Examining in-cloud storage usage
- Sample policy file
- Replication support with cloud tiering
- Configuration for Load Balancer for AWS and Azure - Linux
- Troubleshooting issues in cloud deployments
Load Balancer for AWS and Azure on Linux
A Load Balancer lets you distribute traffic to your backend virtual machines. A Load Balancer is a fully managed service that provides high availability for your applications. With Standard Load Balancer, you can scale your applications and create highly available services. Load Balancer supports both inbound scenarios and outbound scenarios. A Load Balancer provides low latency and high throughput and scales up to millions of flows for all TCP applications as well as UDP applications.
Sample configuration
group azure-lb-grp (
SystemList = { ip-10-10-10-8 = 0, ip-10-10-10-9 = 1 }
)
NIC nicres (
Device = eth0
)
IP ipres (
Device = eth0
Address = "10.10.10.10"
NetMask = "255.255.255.0"
)
Process port_app (
PathName = "/port_probe.sh"
Arguments = "port_app 5000"
PidFile = "/var/VRTSvcs/lock/volatile/port_app_pid"
)
ipres requires nicres
ipres requires port_app
The contents of the port_probe.sh file are as follows:
cat /port_probe.sh
#!/bin/bash
res=$1
port=$2
pid_file="/var/VRTSvcs/lock/volatile/${res}_pid"
NC="/usr/bin/nc"
old_pid=`ps -eo pid,args | grep -w "nc" | grep -w $port$
| awk '{ print $1 }`
if [ -n $old_pid ]; then
kill -9 $old_pid
fi
$NC -l -k $port &
pid=$!
echo $pid > $pid_file
exit 0