# Comment out the following lines in cinder. LVMVolumeDriver
You can modify the MySQL configuration, incorporate configuration management processes. I am unsure of the total control of changing (or breaking the system and the kernel). You can monitor physical resource utilizations. The SSH access is what gives this first release control to be flexible. You can utilize on system database restore capabilities.
Considering a cloud infrastructure for your organization is a much more complex set of decisions about the impact, usefulness and cost-effectiveness for your organisation. This is however the very tip of a very large iceberg. These options will introduce you to what *may* be possible with OpenStack personally.
Thought Of The Day.
The CVM will then perform the remote replication with other Nutanix nodes using its external IP over the public 10GbE network. For all read requests, these will be served completely locally in most cases and never touch the 10GbE network. There will, however, be cases where the CVM will forward requests to other CVMs in the cluster in the case of a CVM being down or data being remote. This means that the only traffic touching the public 10GbE network will be DSF remote replication traffic and VM network I/O. The I/O request will be handled by the hypervisor, which will then forward the request to the private IP on the local CVM. Also, cluster-wide tasks, such as disk balancing, will temporarily generate I/O on the 10GbE network. The Nutanix platform does not leverage any backplane for inter-node communication and only relies on a standard 10GbE network. All storage I/O for VMs running on a Nutanix node is handled by the hypervisor on a dedicated private network.
Shadow clones are enabled by default (as of 4. This will allow VMs on each node to read the Base VM’s vDisk locally. With Shadow Clones, DSF will monitor vDisk access trends similar to what it does for data locality. However, in the case there are requests occurring from more than two remote CVMs (as well as the local CVM), and all of the requests are read I/O, the vDisk will be marked as immutable. 2) and can be enabled/disabled using the following NCLI command: ncli cluster edit-params enable-shadow-clones=. In the case where the Base VM is modified, the Shadow Clones will be dropped and the process will start over. NOTE: The data will only be migrated on a read as to not flood the network and allow for efficient cache utilization. In the case of VDI, this means the replica disk can be cached by each node and all read requests for the base will be served locally. Once the disk has been marked as immutable, the vDisk can then be cached locally by each CVM making read requests to it (aka Shadow Clones of the base vDisk).
When a CVM which is not the Prism Leader gets a HTTP request it will permanently redirect the request to the current Prism Leader using HTTP response status code 301. A Prism service runs on every CVM with an elected Prism Leader which is responsible for handling HTTP requests. Similar to other components which have a Master, if the Prism Leader fails, a new one will be elected.
This allows the user to focus higher up the stack on the VMs via Prism / ACLI. Acropolis abstracts kvm, virsh, qemu, libvirt, and iSCSI from the end-user and handles all backend configuration. The following is for informational purposes only and it is not recommended to manually mess with virsh, libvirt etc.
As an example, when you scale out the number of servers you’re not scaling out your storage performance. For example, traditionally you’d have 3-layers of components for running virtual workloads: servers, storage, and network – all of which are scaled independently. With a hyper-converged platform like Nutanix, when you scale out with new node(s) you’re scaling out:. All of the constructs mentioned above are critical enablers in making this a reality. Incremental and linear scale out relates to the ability to start with a certain set of resources and as needed scale them out while linearly increasing the performance of the system.
No need to deploy Nova Compute hosts, etc. This allows for the best of both worlds, the goodness of the OpenStack Portal and APIs, without the complex OpenStack infrastructure and associated management. All back-end infrastructure services (compute, storage, network) leverage the native Nutanix services. The platform exposes APIs for these services which the controller communicates with then translates them into native Acropolis API calls. Also, given the simplified deployment model, the full OpenStack + Nutanix solution can be up in less than 30 minutes.
Data is also consistently monitored to ensure integrity even when active I/O isn’t occurring. This protects against things like bit rot or corrupted sectors. Stargate’s scrubber operation will consistently scan through extent groups and perform checksum validation when disks aren’t heavily utilized.
A key benefit to being software-defined and not relying upon any hardware offloads or constructs is around extensibility. The controller VM is where the vast majority of the Nutanix software and logic sits and was designed from the beginning to be an extensible and pluggable architecture. As with any product life cycle, advancements and new features will always be introduced. As mentioned above (likely numerous times), the Nutanix platform is a software-based solution which ships as a bundled software + hardware appliance.