Veritas InfoScale™ 8.0 Virtualization Guide - Linux
- Section I. Overview of Veritas InfoScale Solutions used in Linux virtualization
- Overview of supported products and technologies
- Overview of the Veritas InfoScale Products Virtualization Guide
- About Veritas InfoScale Solutions support for Linux virtualization environments
- About Kernel-based Virtual Machine (KVM) technology
- About the RHEV environment
- Virtualization use cases addressed by Veritas InfoScale products
- About virtual-to-virtual (in-guest) clustering and failover
- Overview of supported products and technologies
- Section II. Implementing a basic KVM environment
- Getting started with basic KVM
- Creating and launching a kernel-based virtual machine (KVM) host
- RHEL-based KVM installation and usage
- Setting up a kernel-based virtual machine (KVM) guest
- About setting up KVM with Veritas InfoScale Solutions
- Veritas InfoScale Solutions configuration options for the kernel-based virtual machines environment
- Dynamic Multi-Pathing in the KVM guest virtualized machine
- Dynamic Multi-Pathing in the KVM host
- Storage Foundation in the virtualized guest machine
- Enabling I/O fencing in KVM guests
- Storage Foundation Cluster File System High Availability in the KVM host
- Dynamic Multi-Pathing in the KVM host and guest virtual machine
- Dynamic Multi-Pathing in the KVM host and Storage Foundation HA in the KVM guest virtual machine
- Cluster Server in the KVM host
- Cluster Server in the guest
- Cluster Server in a cluster across virtual machine guests and physical machines
- Installing Veritas InfoScale Solutions in the kernel-based virtual machine environment
- Installing and configuring Cluster Server in a kernel-based virtual machine (KVM) environment
- Configuring KVM resources
- Getting started with basic KVM
- Section III. Implementing Linux virtualization use cases
- Application visibility and device discovery
- About storage to application visibility using Veritas InfoScale Operations Manager
- About Kernel-based Virtual Machine (KVM) virtualization discovery in Veritas InfoScale Operations Manager
- About Red Hat Enterprise Virtualization (RHEV) virtualization discovery in Veritas InfoScale Operations Manager
- About Microsoft Hyper-V virtualization discovery
- Virtual machine discovery in Microsoft Hyper-V
- Storage mapping discovery in Microsoft Hyper-V
- Server consolidation
- Physical to virtual migration
- Simplified management
- Application availability using Cluster Server
- About application availability options
- Cluster Server In a KVM Environment Architecture Summary
- VCS in host to provide the Virtual Machine high availability and ApplicationHA in guest to provide application high availability
- Virtual to Virtual clustering and failover
- I/O fencing support for Virtual to Virtual clustering
- Virtual to Physical clustering and failover
- Recommendations for improved resiliency of InfoScale clusters in virtualized environments
- Virtual machine availability
- Virtual machine availability for live migration
- Virtual to virtual clustering in a Red Hat Enterprise Virtualization environment
- Virtual to virtual clustering in a Microsoft Hyper-V environment
- Virtual to virtual clustering in a Oracle Virtual Machine (OVM) environment
- Disaster recovery for virtual machines in the Red Hat Enterprise Virtualization environment
- About disaster recovery for Red Hat Enterprise Virtualization virtual machines
- DR requirements in an RHEV environment
- Disaster recovery of volumes and file systems using Volume Replicator (VVR) and Veritas File Replicator (VFR)
- Configure Storage Foundation components as backend storage
- Configure VVR and VFR in VCS GCO option for replication between DR sites
- Configuring Red Hat Enterprise Virtualization (RHEV) virtual machines for disaster recovery using Cluster Server (VCS)
- Multi-tier business service support
- Managing Docker containers with InfoScale Enterprise
- About managing Docker containers with InfoScale Enterprise product
- About the Cluster Server agents for Docker, Docker Daemon, and Docker Container
- Managing storage capacity for Docker containers
- Offline migration of Docker containers
- Disaster recovery of volumes and file systems in Docker environments
- Limitations while managing Docker containers
- Application visibility and device discovery
- Section IV. Reference
- Appendix A. Troubleshooting
- Troubleshooting virtual machine live migration
- Live migration storage connectivity in a Red Hat Enterprise Virtualization (RHEV) environment
- Troubleshooting Red Hat Enterprise Virtualization (RHEV) virtual machine disaster recovery (DR)
- The KVMGuest resource may remain in the online state even if storage connectivity to the host is lost
- VCS initiates a virtual machine failover if a host on which a virtual machine is running loses network connectivity
- Virtual machine start fails due to having the wrong boot order in RHEV environments
- Virtual machine hangs in the wait_for_launch state and fails to start in RHEV environments
- VCS fails to start a virtual machine on a host in another RHEV cluster if the DROpts attribute is not set
- Virtual machine fails to detect attached network cards in RHEV environments
- The KVMGuest agent behavior is undefined if any key of the RHEVMInfo attribute is updated using the -add or -delete options of the hares -modify command
- RHEV environment: If a node on which the VM is running panics or is forcefully shutdown, VCS is unable to start the VM on another node
- Appendix B. Sample configurations
- Appendix C. Where to find more information
- Appendix A. Troubleshooting
Recommendations for improved resiliency of InfoScale clusters in virtualized environments
Veritas recommends that you configure the following settings to improve the resiliency of InfoScale cluster configurations in virtualized environments:
Peerinact: Set the default LLT tunable parameter peerinact to 32 seconds instead of 16 seconds. Doing so helps improve the stability of the cluster in virtualized environments, where multiple external factors as described further in this list, can affect the stability of the cluster.
Provisioning ratio: The CPU and memory provisioning ratio affects the stability of the InfoScale cluster. To ensure maximum stability, set the ratio to the lowest value possible. For critical solutions that require maximum resiliency, the ratio must be set to 1:1.
CPU load on host operating systems: Although the provisioning ratio is low, the CPU load on the host operating systems still plays a part in cluster stability. If the load on the host operating system is very high, it can affect how vCPUs on the guest VMs are scheduled, because vCPUs are processes from the perspective of the host servers.
CPU requirement of the actual workload on guests: When the total CPU requirement for workloads exceeds the available physical CPU capacity, it causes node evictions due to heartbeat timeouts.
External events: External events like live migration of the guest VMs, virtualized disk backups, and so on, are known to add CPU load on the host servers. To reduce this additional load on the CPU, watch the stun duration in your environment caused by these events, and increase the peerinact value, if required. Increase the peerinact value only in these conditions and not in any other circumstances.
High CPU load or memory usage, or delayed disk snapshot or VM migration operations: To avoid the disruption of timer-driven heartbeats due to such events, LLT performs per-CPU heartbeating when needed. If you want to further improve resiliency, you can optionally spread interrupts for LLT interfaces across all the CPUs. For details, refer to the Cluster Server Administrator's Guide.
Hypervisor: Always follow the best practices for the hypervisor.