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Performance Efficiency

https://d1.awsstatic.com/whitepapers/architecture/AWS-Performance-Efficiency-Pillar.pdf

Selection

Compute

  • Instances
    • EC2 -- SSD, GPS, Field Programmable Gate Arrays (FPGA), Burstable instance families, Advanced computing features
  • Containers
    • Amazon Elastic Container Service (ECS) allows to run docker containers
  • Functions
    • Lambda
  • Elasticity

Storage

Storage | Services | Latency | Throughput | Shareable
Block | EBS, EC2 | lowest | single | mounted on single instance, copies via snapshots
File system | EFS | low | multiple | many clients
Object | S3 | low | web scale | many clients
Archival | Glacier | up to hour | high | no

  • S3
  • EBS
  • EFS
  • EC2 instance store
  • Glacier

Database

• Relational Online Transaction Processing (OLTP)
Oracle, Microsoft SQL Server, MySQL, MariaDB, PostgreSQL, Aurora

• Non-relational databases (NoSQL)
Amazon DynamoDB

• Data warehouse and Online Analytical Processing (OLAP)
Amazon Redshift

• Data indexing and searching
Amazon Elasticsearch Service (Amazon ES)

Network

Amazon CloudFront

  • Content Delivery Network (CDN)
  • Highly secure global CDN to get content to your viewers with low latency and high transfer speeds

Amazon VPC

  • Virtual Private Cloud
  • Isolate cloud resources with your own private virtual network

AWS Direct Connect

  • Dedicated Network Connections to AWS
  • Dedicated network connection between your network and your Amazon VPC

Elastic Load Balancing

  • Load Balancing
  • Automatically distribute application traffic across multiple Amazon EC2 instances in the cloud

Amazon Route 53

  • Domain Name Service (DNS)
  • Highly available and scalable cloud DNS to connect user requests to your AWS resources

Review

  • Benchmarking
    • AWS CodeDeploy and AWS CloudFormation
  • Load Testing
    • CloudWatch

Monitoring

  • Active and Passive
  • Phases
    • Generation – scope of monitoring, metrics, and thresholds
    • Aggregation – creating a complete view from multiple source
    • Real-time processing and alarming – recognizing and responding
    • Storage – data management and retention policies
    • Analytics – dashboards, reporting, and insights

Trade-offs

Technique | Applies To | Use | Gains
Caching | Read-heavy | Space (Memory) | Time
Partitioning | Write-heavy | Size & Complexity | Time
Compression | Large data | Time | Space
Buffering | Many requests | Space & Time | Efficiency \

Caching

  • Application Level
    • Amazon ElastiCache
  • Database Level
    • RDS read replicas
  • Geographic Level
    • CloudFront

Partitioning or Sharding

Amazon DynamoDB, which manages table partitioning for you automatically.

Compression

CloudFront

Buffering

Amazon SQS, which allows you to decouple producers from consumers using a queue.