Fichas
Module 5 AWS Cloud Practitioner- Storage and Databases
Fichas del conjunto (54)
- 1a place to store files on disks. Good for databases and enterprisesblock level storage
- 2attached to host ec2s instance runs on top of. if terminate ec2 instance all data written to this will be deleted. Good for when you can lose datainstance store volumes
- 3when you need data to persist beyond lifetime of ec2 instanceamazon elastic block store (Ebs)
- 4separate drives from local in store volumes not tied directly to host for ec2EBS volumes
- 5configure this for EBS volumessize, type, configurations
- 6EBS allows you to take these incremental backups of your datasnapshot
- 7allows you to store and retrieve unlimited amount of data at any scaleamazon simple storage service (S3)
- 8maximum size data you can upload to S35 TB
- 9always retaining previous version of an object to retainversioning objects
- 10object stored here has 99.99.. stay in tact after 1 year, can sustain if data is lost in 2 storage facilities because data is always kept in 3 storage facilitiesS3 standard
- 11where each site has html files and each file is akin to actual site, upload html files and checking box to upload as a static websiteS3 static website hosting
- 12for data required less frequently but requires quick access- recovery or long term storageS3 standard-infrequent access (S3 Standard-IA)
- 13storage place when need data for several years such as auditingamazon s3 glacier
- 14Moving data automatically between tiersAmazon S3 lifecycle management
- 15in object storage, 3 things each object consists ofdata, metadata, key
- 16when a file in object storage is updated, is the entire object updated?yes
- 17when a file in block storage is modified, is the entire pieces updated?no - only what was modified
- 18storage option where data is stored in one availability zone, lower storage price, can easily reproduce dataS3 One-Zone Infrequent Access (S3 One Zone-IA)
- 19storage option ideal for data with unknown or changing patterns, requires small monthly monitoring and automation fee per objectS3 intelligent-tiering
- 20S3 intelligent-tiering automatically moves data here if you haven't accessed an object in 30 daysS3 standard-IA
- 21lowest cost storage option ideal for arching, can retrieve data within 12 hourss3 glacier deep archive
- 22a managed file system. allows multiple instances accessing data at the same timeamazon elastic file system (EFS)
- 23file system that attaches to ec2 instances and is an availability zone level resource, volumes do not automatically scaleAmazon EBS
- 24can have multiple instances reading and writing simultaneously, Linux file system, and is a regional resourceAmazon EFS
- 25Storage type ideal for use cases in which a large number of services and resources need to access the same data at the same time.file storage
- 26storing data in a way that it relates to other pieces of datarelational database management system
- 27most common way to query datasql
- 28easily move data to the cloud and migrate database to run on amazon ec2lift and shift migration
- 29service provides automated patching, backups, disaster recovery, automatedamazon relational database service (RDS)
- 30most managed relational database option, , have 6 copies at any given time, has point in time recoveryamazon aurora
- 312 forms that amazon aurora comes in - replicates data across facilitiesMySQL and PostgreSQL
- 32six database engines that RDS is available onMySQL, PostgreSQL, Amazon Aurora, MariaDB, Oracle Database, Microsoft SQL Server
- 33serverless datasbases - dont need to manage underlying instances. you create tablesamazon dynamo db
- 34different features of your data within itemsattributes
- 35hosts data redundantly across multiple availability zones and mirrors data across multiple drivesdynamo db
- 36non-relational, no sql database. can add and remove attributes at any timedynamo db
- 37have simple flexible schemas, tend to run queries on one table rather than multiple tablesnon-relational databases
- 38response time for dynamo dbmillisecond
- 39one type of structural approach for non-relational databaseskey-value pairs ((data organized into items (keys) and items have attributes (values))
- 40data warehousing as a service for big data analytics. allows you to get started with a single api call, good when you need bi data. Can collect data from several sourcesamazon redshift
- 41helps you migrate existing databases onto aws securely. migrate between source and target database. source and target databases don't have to be the same typeaws database migration service (DMS)
- 42when databases are the same type for migrationhomogenous databases
- 43what source and target databases are different typeshetergensous migrations
- 44use then for hetergenous migration when schema structure data types and database code are different. Converts source schema and database code to match target databaseaws schema conversion tool
- 45aws dms use case - enabling developers to test applications against production data without affecting production usersd
- 46aws dms use case - combining several data bases into a single databasedatabase consolidation
- 47aws dms use case- sending ongoing copies of your data to another target source instead of doing a one-time migrationcontinuous replication
- 48enterprise content management database; supports mongo DB workloadsamazon document DB
- 49a document database programmongo DB
- 50a graph database service engineered for social networking or fraud detection. use it to build and run applications with highly connected datasetsamazon neptune
- 51for supply chain, or banking financial records requires 100% immutability. - a ledger database service. review a complete history of all changes that have been made to application data - no data ever removed for auditsamazon quantum ledger database (amazon QLDB)
- 52service you can use to create and maintain blockchain networks with open source frameworks. A distributed ledger system that lets multiple parties run transactions and share data without a central authority.amazon managed blockchain
- 53A service that adds caching layers on top of your databases to help improve the read times of common requests. It supports two types of data stores: Redis and Memcached.amazon elasticache
- 54An in-memory cache for DynamoDB. It helps improve response times from single-digit milliseconds to microseconds.amazon dynamo DB accelerator
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- Fichas sobre Module 5 AWS Cloud Practitioner- Storage and Databases, creado por Julia Grissett el 27/07/2022.
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- Julia Grissett
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