The metrics seen by the Controller Layer should normally match those seen by the hypervisor layer, however will include any backend operations (e.g., ILM, disk balancing). Enable Core : false When inline compression is enabled but the I/Os are random in nature, the data will be written un-compressed in the OpLog, coalesced, and then compressed in memory before being written to the Extent Store. In other cases you might want to ensure VMs run on different nodes for availability purposes. Given that the "local" storage is backed by the AWS instance store, which isn't fully resilient in the event of a power outage / node failure additional considerations must be handled. In this case, the full node's memory can be added to the CVM to provide a much larger read cache. For Prism Central and Insights, data can be stored indefinitely (assuming capacity is available). Key Role: Backup/Replication policy for assigned categories. As of 4.6, the vdisk size is stored as a 64 bit signed integer that stores the size in bytes. This protects against things like bit rot or corrupted sectors. For data that is read cold, we will prefer to distribute the data blocks from the same vDisk across nodes to form the strip (same-vDisk strip). SPDK) eliminating the need to make any system calls (context switches). A file server can have multiple shares (e.g. ovmctl --add controller --name --ip , # Register Nutanix cluster(s) (run for each cluster to add) Replicated data is protected at multiple layers throughout the process. Image cache = disabled, Image cache URL = None. For requests / approvals those were all stored in SNOW. During this process a Drive Self Test (DST) is started for the bad disk and SMART logs are monitored for errors. Asymmetric Encryption (public key encryption): One key is used for encryption (public key), another is used for decryption (private key), In-transit: data that is in transit between two parties (e.g. RPO, retention, etc.) The figure highlights an image illustrating the conceptual nature of AOS at various layers: Building upon the distributed nature of everything Nutanix does, we’re expanding this into the virtualization and resource management space. The following optimizations are leveraged: More detail on how each of these features can be found in the following sections. Don’t have AWS bare metal instances you can use? There are a few main methods of encrypting data: NOTE: PGP (or GPG) uses both a symmetric and asymmetric key. can also be used, leveraging some of the native features the platform provides (VSS, snapshots, etc.). The STIGs contain technical guidance to "lock down" information systems/software that might otherwise be vulnerable to a malicious computer attack. NOTE: as of 4.0, extent groups can now be either 1MB or 4MB depending on deduplication. Upon a global metadata write or update, the row is written to a node in the ring that owns that key and then replicated to n number of peers (where n is dependent on cluster size). Cold data is characterized into two main categories: The following figure shows an example of how inline compression interacts with the DSF write I/O path: Almost always use inline compression (compression delay = 0) as it will only compress larger / sequential writes and not impact random write performance. N+2) could consist of 3 or 4 data blocks and 2 parity blocks in a strip (e.g. vmdk, vhd, etc.). num_virtual_targets: 32 NOTE: A minimum of 3 blocks must be utilized for block awareness to be activated, otherwise node awareness will be defaulted to. The Nutanix platform incorporates a wide range of storage optimization technologies that work in concert to make efficient use of available capacity for any workload. In certain cases you want VMs to run on the same node for licensing reasons.
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