High Performance Databases

Low Administration High Performance Databases in the CloudDavid PearsonBusiness Development Manager

set-up operate EFFORTscale differentiated?

differentiated effort increases the uniqueness of an application

Database Ad security documentation, licensing & planning scripting & training coding 5% 5% install, upgrade, 40% 25% performancepatch and migrate tuning backup & recovery, data load & unload

scaling up outinfrastructure reads writes

infrastructure scaling Bigger Servers cpu + memoryMore Throughput storage + network

how much capacity to deploy? Actual Usage Capacity Predicted Usage Waste Time

benefits of No Up-FrontCapital Expense cloud Improve Agility & Time-to-Market computing deploy Pay Only forLow Cost What You Use Self-Service Easily Scale Up/Down

managed databasesIn the cloud

Amazon RDS easy to scale reliablefully managed relational database service simple to deploy cost-effective

Amazon RDSproductivityperformanceprotection

automationeliminatesundifferentiatedheavy lifting ~70% of a DBA’s time Deployment

Amazon RDS Automatic backupproductivity Point-in-time-recovery Synchronous replication w/MAZ • Backup and DRperformance • Monitoring CloudWatch • High Availabilityprotection Automatic host replacement Automated failover and recovery with MAZ (production workloads)

Amazon RDSproductivity • Push-Button Scalingperformance • Provisioned IOPS • Read Replicasprotection

Push-Button Scaling scale up or down to the desired instance class scale up to an 8-core server with 64GB of RAM

Multi-AZDeployment one-click DRProvisioned IOPSconsistent throughput to 10,000 IOPS

Case study“in the past, we have invested hundreds of days in time- consuming and costly code-based performance tuning”“with Amazon RDS Provisioned IOPS we were able to exceed those performance gains in a single day” Adam Kierce - Director, Shine Technologies

scalingREADS scale-out with master-slave one or more read architecture servers Use Cases Reporting and ETL Discrete read/write transactions (browsers vs buyers)

scalingREADS Tech tips • Optimize master for OLTP and read slaves for table scans • Resize slaves as needed to boost reporting performance • Use short-term slaves to save cost during monthly reporting

scalingREADS Amazon ElastiCache hot items small, frequently-accessed items are candidates for read caching Application Server • Reduce server-side latency to microseconds • Eliminate “hot spot” performance barriers • Offload heavy read activity from database

Case study • 6 months to deploy a real-time, socially relevant magazineChallenge • Constantly changing user interests • Ability to change all hardware and software elasticallyArchitecture • Frequently changing system requirements • Complex queries on user and relevancy dataApp needs • Milliseconds count. So, does uptime Solution RDS MySQL + ElastiCache

scaling WRITES Databaseshared-nothing sharding complex toarchitecture plan, implement and maintain splits large partitionable tables across multiple, smaller database servers

scaling application is WRITES shard-aware Application Serveradditional challenges shards may require• key management periodic rebalancing• query aggregation A-G H-P Q-Z• cross-shard queries multiple, small servers are fast, inexpensive, and easy to manage

status check… Low Administration High Performance Databases in the Cloud

Performance

DynamodNoSQL Database Service consistent, low latency SSD = single-digit ms  Fast & Predictable Performance  Seamless Scalability from hundreds to hundreds  Zero Administration of thousands of operations/sec

new appSuper Bowl promotion new data storeMillions of interactions over arelatively short period of timeBuilt the app in 3 days, fromdesign to production-ready Fruit Ninja Frenzy facebook game Moved game data into DynamoDB Grew from 1 million to 8 million active monthly users in two weeks

Scaling Relational DB’s with DynamoDB move simple, high-scale workloads Application Servercandidates for workload migrationtables with high transaction volumes (esp writes)primary key-only is preferred (one non-pk index ok)no dependencies (fk’s, triggers, procedures)

Summary • Scaling database performance requires EFFORT • Differentiated EFFORT is a good investment • Scale up with more hardware • Scale reads and writes across multiple servers • Amazon RDS makes it easy to set-up, operate and scale relational databases • DynamoDB provides an option for existing and new apps to achieve extreme levels of performance

Get started today AWS Free Usage Tier http://aws.amazon.com/freeaws.amazon.com/dynamodb aws.amazon.com/rds aws.amazon.com/elasticache

questions? thank you

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High Performance Databases

by Amazon Web Services on Jan 21, 2013

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