AWS Webcast - Understanding database options

Database Options on AWS Miles Ward, Solution Architect

Database Services on AWS Relational databases on EC2 Amazon RDS Service NoSQL databases on EC2 Amazon Managed NoSQL Services In-Memory Database Data Warehouses on EC2 Amazon Managed Data Warehouses Oracle MySQL Mongo Amazon SimpleDB Amazon ElastiCache Vertica Amazon RedShift SQL Server SQL Server Riak Amazon DynamoDB SAP Hana TeraData Hive on EMR MySQL Oracle Couchbase MemcacheD on EC2 Hive on EC2 Hbase on EMR IBM DB2, Informix Cassandra Hbase on EC2 ……. ……… ………

Managed Relational databases on EC2 Amazon RDS Service NoSQL databases on EC2 Amazon Managed NoSQL Services In-Memory Database Data Warehouses on EC2 Amazon Managed Data Warehouses Oracle MySQL Mongo Amazon SimpleDB Amazon ElastiCache Vertica Amazon RedShift SQL Server SQL Server Riak Amazon DynamoDB SAP Hana TeraData Hive on EMR MySQL Oracle Couchbase MemcacheD on EC2 Hive on EC2 Hbase on EMR IBM DB2, Informix Cassandra Hbase on EC2 ……. ……… ……… Database Services on AWS

SQL Deployment Options on EC2

Dev, Test and Production Environments Deploy Oracle software in minutes using AWS instances types Use Oracle Database 11g and Oracle Enterprise Linux to build enterprise-grade solutions in the cloud Free up CapEx budget No need to pre-allocate hardware budgets. Pay as you go. Amazon and Oracle provide businesses with a scalable, reliable, and cost-effective business application platform. Better end-user experience Use Amazon Machine Images (AMIs) with pre-configured Oracle solutions Full Oracle license portability Customers can use their existing licenses or buy new licenses Certification AWS is the first supported cloud platform. Oracle certified and fully supports oracle products running on AWS Complete Oracle Stack OVM, Oracle Linux, EMGC, Oracle Database, FMW, Enterprise Applications Running Oracle on AWS http://aws.amazon.com/oracle

Deploying Oracle on Amazon EC2 Step 1: Create an account at aws.amazon.com Step 2: Login to the AWS Web Console Step 3: Right-click on an Oracle AMI and click “Launch Instance” Step 4: Right click on your EC2 instance to SSH into your server Oracle has delivered a set of Amazon Machine Images (AMIs), to make it easy for customers to get started deploying Oracle solutions on Amazon EC2Have Oracle database up and running in few minutes…

Running Microsoft SQL Server on AWS http://aws.amazon.com/windows/ Dev, Test and Production Environments Deploy SQL Server software in minutes using Amazon EC2 running Windows Server with SQL Server Free up CapEx budget No need to pre-allocate hardware budgets. Pay as you go. Amazon and Microsoft provide businesses with a scalable, reliable, and cost-effective business application platform. Better end-user experience Use Amazon Machine Images (AMIs) with pre-configured SQL Server solution and only pay for what you use Pay by Hour Customers can launch SQL Server standard editions and pay by hour Full License portability Customers can use their existing licenses or buy new licenses

Deploying SQL Server on Amazon EC2 Step 1: Create an account at aws.amazon.com Step 2: Login to the AWS Web Console. Search for SQL Server 2008 AMI Step 3: Right-click on any SQL Server AMI and click “Launch Instance” Step 4: Right click on your EC2 instance to RDP into your server Amazon has delivered a set of Amazon Machine Images (AMIs), to make it easy for customers to get started deploying SQL Server solutions on Amazon EC2. Have SQL Server database up and running in five minutes…

SQL Deployment Options on EC2Managed

Amazon RDS RDS is a fully managed Relational database service that is simple to deploy, easy to scale, reliable and cost-effective Ease of Deployment Choice of Database Engines and App. compatibility Automated Backups and Disaster Recovery Amazon Relational Database Service (RDS) Microsoft SQL Server… Monitoring and Auto Host Replacement Pre-configured Parameters Monitoring and Metrics Automatic Software Patching Replication – Multi AZ, Read Replicas Isolation and Security Pay by hour

Rapid deployment via Web Console

Operational DBA tasks & Amazon RDS Install, upgrade, and migrations Troubleshooting and corrective actions Space and account management Database monitoring and reporting Performance and tuning Backup and recovery Capacity planning Data load/unload and synchronization Source: http://www.forrester.com/Events/Content/0,5180,-1110,00.ppt Focus on Applications – Convert Ops DBA resources to more productive Apps DBA resources Distribution of time Performance/trou bleshoot Security planning Backup rec load/unload 5% 25% 5% 5% 20% 40% License/doc training Scripting coding Install, upgrade, patch, migration

Data Durability – Backups and Recovery • DB Snapshots  User-driven snapshots of database  Kept until explicitly deleted • Automated Backups  Nightly system snapshots + transaction backup  Enables point-in-time restore to any point in retention period, up to the last 5 minutes

High Availability – Multi-AZ Deployments Enterprise-grade fault tolerance solution for production databases. Through few clicks, Amazon RDS creates and synchronously maintains a standby in a different Availability Zone Automatic failover in case of:  Loss of availability in primary AZ  Loss of connectivity to primary  Host or storage failure on primary  Vertical Scaling  Software patching

Scalability – Read Replicas A Read Replica is a copy of a specified DB Instance that can serve read traffic Intended Use Cases  Read scaling, business reporting  Not intended as a fault tolerance substitute for Multi- AZ Unlike Multi-AZ, uses native, asynchronous MySQL replication and replica can lag source Read Replica can use Multi-AZ deployment as source

High Performance Relational Databases Amazon RDS Configuration Improve Availability Increase Throughput Reduce Latency Push-Button Scaling Multi AZ Read Replicas ElastiCache Availability Zone Region Availability Zone Multi-AZ ElastiCache Read ReplicasPush-Button Scaling

Oracle on RDS Licensing • Oracle 11gR2 Database: EE, SE, SE1 editions • Runs on Oracle VM with hard partitioning • Several licensing options available – Use existing licenses from Oracle – Purchase new Oracle Database licenses directly from Oracle or an Oracle partner – License Included from Amazon • Two pricing models for Amazon RDS – On-demand, hourly pricing – Amazon RDS Reserved Instances 17

NoSQL Deployment Options on EC2

You can run NoSQL data store in the cloud on Amazon EC2 and Amazon EBS. Free up CapEx budget Running your own NoSQL databases on Amazon EC2 and Amazon EBS gives you full control over your database without the burden of provisioning and installing hardware. We recommend running non-relational databases on Amazon EC2 for customers who: Want to exert complete administrative control over their NoSql server Have in-house expertise in managing and scaling their own distributed database clusters Implementation Best Practices MongoDB … http://d36cz9buwru1tt.cloudfront.net/AWS_NoSQL_MongoDB.pdf Riak… http://media.amazonwebservices.com/AWS_NoSQL_Riak.pdf CouchBase… http://media.amazonwebservices.com/AWS_NoSQL_Couchbase.pdf More coming soon! Running NoSQL Databases on AWS

One Volume: ~200 MongoOPS with some variability, <1mb/s Loaded instance: ~ 1000 MongoOPS with some variability <10mb/s NoSQL Storage Options – Testing random 4K reads PIOPS+ EBS One Volume: 4000 MongoOPS with <1% variability, 6mb/s Loaded Instance: 40000 MongoOPS with <1% variability, 120mb/s SSD Hi1.4xlarge ephemeral: ~64,000 MongoOPS with low variability, ~245mb/s

Stable NoSQL Storage Options – Testing random 4K reads EBS PIOPS+ SSD

Amazon NoSQL ServicesManaged

Amazon SimpleDB Amazon SimpleDB is a managed NoSQL database service designed for smaller datasets Zero Administration Manage & Query Structured Data 10GB Storage per domain AWS Identity Integration Conditional Puts Consistent or Eventually consistent read requests

Amazon SimpleDB Use Cases Need Consistent Reads. Scales automatically up or down in response to demand. Require the highest availability and can’t tolerate downtime for data backup or software maintenance. No need for complex transactions or joins. Index store for data stored in S3. Use for state management when using Spot instances along with EMR processes. Can’t afford significant administrative burden managing their structured data

DynamoDB is a fully managed NoSQL database service that provides extremely fast and predictable performance with seamless scalability Amazon DynamoDB Zero Administration Low Latency SSD’s Reserved Capacity Unlimited Potential Storage and Throughput

Reducing Risks • Consistency – DynamoDB writes are always consistent – Reads are consistent, or eventually consistent (default) • Durability – All writes occur to disk, not memory – A write is only acknowledged (committed) once it exists in at least two physical data centers • Availability – Regional service – spans multiple availability zones – All data is continuously replicated to multiple AZ’s

Amazon DynamoDB Use Cases No Administrative burden managing their structured data Need Consistent Writes & Reads. Setup scaling needs based on application. Require the highest availability and can’t tolerate downtime for data backup or software maintenance. No need for complex transactions or joins. Item size is 64K or less. Larger Items can be placed in Amazon S3 by storing just the pointer in the Amazon DynamoDB

Amazon SimpleDB and Amazon DynamoDB Amazon SimpleDB Amazon DynamoDB Scalability Highly Scalable Options available Seamless scalability and fast, predictable performance. Size 10GB data limit in table/domains There is no limit on the amount of data. Capacity Great fit for lower-scale workloads that require query flexibility. Efficient throughput model to meet the capacity levels that you need for your apps.

Amazon ElastiCache gives you access to the capabilities of a familiar Memcached compatible caching environment Pre-configured Parameters Automatic failure detection and recovery Detailed Monitoring and Metrics Automatic Software Patching Push-Button Scaling If your application already relies on Memcached, you can easily port it to take advantage of Amazon ElastiCache Control access to your Cache Clusters through Cache Security Groups Free up CapEx budget No need to pre-allocate hardware budgets. Pay as you go.. Usage & Pricing On Demand Instances Reserved Cache Nodes – Light , Medium and Heavy Utilization instances Running Amazon ElastiCache

Amazon ElastiCache Use Cases Low administration. Simplifies and offloads the management, monitoring, and operation of in-memory cache environments Significantly improve latency and throughput for many read-heavy application Increase performance of I/O intensive applications Easily Port applications that rely on Memcached

Data Warehouse Deployment Options on EC2

Amazon RedShift: Cloud Data Warehouse A fast and powerful, petabyte-scale data warehouse that is: A Lot Faster A Lot Cheaper A Lot Simpler Amazon Redshift Managed

Common Customer Use Cases • Reduce costs by extending DW rather than adding HW • Migrate completely from existing DW systems • Respond faster to business; provision in minutes • Improve performance by an order of magnitude • Make more data available for analysis • Access business data via standard reporting tools • Add analytic functionality to applications • Scale DW capacity as demand grows • Reduce HW & SW costs by an order of magnitude Traditional Enterprise DW Companies with Big Data SaaS Companies

Amazon Redshift Customers • 5x – 20x reduction in query times; 4x cost reduction over HIVE • 20x – 40x reduction in query times • Nokia: 50% reduction in costs, 2x improvement in query times

Amazon Redshift dramatically reduces I/O • Column storage • Data compression • Zone maps • Direct-attached storage • Large data block sizes • Use direct-attached storage to maximize throughput • Hardware optimized for high performance data processing • Large block sizes to make the most of each read • Amazon Redshift manages durability for you

Amazon Redshift architecture • Leader Node – SQL endpoint – Stores metadata – Coordinates query execution • Compute Nodes – Local, columnar storage – Execute queries in parallel – Load, backup, restore via Amazon S3 – Parallel load from Amazon DynamoDB • Single node version available 10 GigE (HPC) Ingestion Backup Restore JDBC/ODBC

Amazon Redshift lets you start small and grow big Extra Large Node (HS1.XL) 3 spindles, 2 TB, 16 GB RAM, 2 cores Single Node (2 TB) Cluster 2-32 Nodes (4 TB – 64 TB) Eight Extra Large Node (HS1.8XL) 24 spindles, 16 TB, 128 GB RAM, 16 cores, 10 GigE Cluster 2-100 Nodes (32 TB – 1.6 PB) Note: Nodes not to scale

Monitor query performance

Point and click resize

Amazon Redshift provides multiple data loading options • Work with a partner • Upload to Amazon S3 • AWS Direct Connect • AWS Import/Export More coming soon… Data Integration Systems Integrators

Amazon Redshift works with your existing analysis tools JDBC/ODBC Amazon Redshift More coming soon…

AWS Direct Connect Amazon Virtual Private Cloud (VPC) Import / Export Service Dedicated connection between your datacenter and AWS Private VPN connection to your AWS resources Move data into AWS using portable storage devices Secure Options for Moving Data to and from the AWS Cloud

More Information Amazon EC2 https://aws.amazon.com/ec2/ Amazon RDS http://aws.amazon.com/RDS Amazon ElastiCache http://aws.amazon.com/elasticache/ Amazon DynamoDB https://aws.amazon.com/dynamodb/ Amazon SimpleDB https://aws.amazon.com/simpledb/ Amazon RedShift http://aws.amazon.com/redshift

AWS Webcast - Understanding database options

by Amazon Web Services

on Aug 08, 2013

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AWS Webcast - Understanding database options Presentation Transcript