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The Amazon Data Lifecycle Manager is an automated mechanism that can back up data from EBS volumes, creating and deleting EBS snapshots on a predefined schedule. [ 8 ] Elastic Volumes makes it possible to adapt volume size to an application's current needs, using Amazon CloudWatch and AWS Lambda to automate volume changes.
RAID allows increases of speed and/or reliability of EBS. Users can set up and manage storage volumes of sizes from 1 GB to 16 TB. The volumes support snapshots, which can be taken from a GUI tool or the API. EBS volumes can be attached or detached from instances while they are running, and moved from one instance to another. [55]
Blocks are identified by an arbitrary and assigned identifier by which they may be stored and retrieved, but this has no obvious meaning in terms of files or documents. A file system must be applied on top of the block-level storage to map 'files' onto a sequence of blocks. Amazon EBS (elastic block store) is an example of a cloud block store. [2]
These sizes of these volumes are dynamic, they increase depending how much data is stored in the database, with a maximum of 64 TB. The Amazon Neptune SLA policy is designed to offer a monthly uptime percentage greater that of 99.9%, increasing database performance and availability by integrating the engine with a virtual storage based on SSD ...
Additional patterns described in AWS documentation include "Event Sourcing", where data changes are stored as immutable events, enabling historical state reconstruction; "Materialized Views", which simplify analytical queries through pre-computed aggregations, often implemented via DynamoDB Streams, application-level processing, or periodic ...
The backup data needs to be stored, requiring a backup rotation scheme, [4] which is a system of backing up data to computer media that limits the number of backups of different dates retained separately, by appropriate re-use of the data storage media by overwriting of backups no longer needed. The scheme determines how and when each piece of ...
The first snapshot of a DB instance contains the data for the full DB instance and subsequent snapshots are incremental, maximum retention period is 35 days. In Multi-AZ RDS deployments backups are done in the standby instance so I/O activity is not suspended for any amount of time but you may experience elevated latencies for a few minutes ...
Materialized views that store data based on remote tables were also known as snapshots [5] (deprecated Oracle terminology). In any database management system following the relational model, a view is a virtual table representing the result of a database query. Whenever a query or an update addresses an ordinary view's virtual table, the DBMS ...