Failover availability without data loss is ensured by

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Failover availability without data loss is ensured by the replication of data overmultiple locations which is independent of the database instances.Currently, the maximum size of cluster volume can be up to 64 Terabytes.The maximum feasible graph size is the same as a cluster volume size.
Pricing depends on Instances, Storage used, back up retention, data transfer, etc.You can find more about pricinghere.ReliabilityNeptune is modeled to be durable, reliable, and fault tolerant.Most of the reliability features are already available by default.But, Neptune provides flexible approach to make it more reliable through replicas andtheir locations.Data loss is avoided through Storage Auto-Repair.The data is replicated in three availability zones and if a segment of disk faces failure,data from other replicas is used to repair it while not leaving availability and ensuringthe data is the latest.AvailabilityRegardless of the span of instances, Neptune data storage can span across multipleavailability zones in a single AWS region.Neptune replicas across multiple zones are provisioned and maintainedsynchronously in an automated way. Primary DB instance is synchronously replicatedover the availability zones ensuring no I/O freezes, reduced latency, and dataredundancy.High availability helps protect a database from failure during system maintenance,Multi Availability Zone deployment is facilitated through replicas and AWS console.create-db-instancecommand can be used to create replicas from AWS CLI.Parameters such as --db-cluster-identifierand--availability-zonecan beused to specify DB cluster name and Availability Zone respectively.ReplicationReplicas in Neptune can be up to 15 in number and are independent of the instances.Multiple copies of data together make up a DB Cluster volume.However, for the primary instance and other replicas it is represented as a single,logical volume.As a result, the update delay between replicas and primary instance is just around100ms.This lag might increase only in case of large write operations, but the read operationsare always designed to return the same results irrespective of replica.As all the instances share the same cluster volume, replication is optimized and alsoavailability and read scaling is much better as replicas are dedicated to readoperations.In case of failure, it is better to set replicas as failover targets rather than creating anew primary instance. One or more replicas are recommended for such cases tomaintain high availability.As the cluster volume is shared, a replica can either be un-encrypted or encryptedbased on the primary instance.Managing DB Configuration
Neptune DB Cluster configuration on a higher level can be managed by storing a set of parameters inDB Parameter Groups.DB parameter groups act as a container for database engine configuration which can be applied toone or more database instances.

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Term
Spring
Professor
N/A
Tags
Amazon Web Services, Amazon Elastic Compute Cloud, Neptune Cluster, Neptune Database

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