Modernize Your Applications using RDS for PostgreSQL, Amazon MemoryDB, and Containers

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10/11/2021
Modernize Your Applications using
RDS for PostgreSQL, Amazon MemoryDB,
and Containers
Krishna Sarabu
Sr. PostgreSQL Specialist SA
Vijay Injam
Sr. ElasiCahe Specialist SA

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Agenda
• Characteristics of Modern Applications
• Monolith to Microservices
• Microservices Architecture
• Components
• Features
• Scalability
• Performance
• Agility
• Demo

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Characteristics of Modern
Applications

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Modern application requirements
Requires more performance, scale, and availability
Users 1M+
Data volume Terabytes—petabytes
Locality Global
Performance Microsecond latency
Request rate Millions per second
Access Mobile, IoT, devices
Scale Virtually unlimited
Economics Pay as you go
Developer access Instance API access
Development Apps and storage are
decoupled
Online
gaming
Social
media
Media
streaming
E-commerce Shared economy

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Monolith to Microservices

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App architectures & patterns have evolved

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Monolith
Monolith

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Traditional Three-Tier Architecture

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Limitations of Monolith Approach
Hard to Scale Can’t Handle
Component
Failures
Limited
options
Slow
Deployment
Process

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Concepts - Microservices
Completely
independent
Microservices

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Reference Level Architectural Components

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Build a modern Retail website

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Build a modern Retail website
c
Register Product Order
Product Service
(Microservice -3)
Cart Service
(Microservice -4)
Order Service
(Microservice -5)
User Service
(Microservice -2)
Cart
UI Service
(Microservice -1)
Fraud Service
(Microservice -7)
Alerting and monitoring Service
(Microservice -6)
c
c
Retail Website
Operational
Business Logic

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Architectural Components for retail website

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AWS Services for Microservices
Architecture

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Amazon EKS
• Kubernetes is an open source container orchestration
• Enables you to run containers at scale
• An API driven tool that reconciles the state of the cluster against
declarative state
• Data Plane (EC2, Managed Node Groups, and Fargate)
• Load Balancing (CLB/NLB Service Load Balancer and ALB Ingress
Controller)
• Storage (EBS and EFS CSI Drivers)
• Autoscaling (Cluster Autoscaler, Horizontal Pod Autoscaler, and Vertical
Pod Autoscaler)
• CI/CD
• Managing Clusters at Scale with GitOps

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MemoryDB
• Durable In-memory database service
• Purpose-built for modern applications with microservices
architectures
• Multi-key atomic operations
• Redis open source API
• Supports data structures like :
Strings, Lists, Sets, Sorted Sets, Hash Tables,
HyperLogLog, Geospatial, and Streams
• Supports Multi-AZ in a region

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Amazon RDS PostgreSQL
• Fully Managed service
• Open Source PostgreSQL compatibility
• Supported extensions like:
• PostGIS, Hstore, pglogical, etc.
• Scale compute and storage with ease
• High Availability and Durability
• Highly Secure
• KMS (Encrypt at rest, Encrypt in transit)
• IAM
• Kerberos
• Native JSON, Native Arrays support
• Read Replicas for read intensive workload horizontal scaling

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Scaling

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EKS Scaling
• Scale Cluster with Cluster AutoScaler
• Scale Applications with Horizontal Pod AutoScaler
• Scale Applications with Vertical Pod AutoScaler
• Supports Elastic Load Balancing including including CLB, ALB and NLB

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MemoryDB - Scaling
Feature Cluster
Node Scale Up to 500 nodes, 1 primary and 0–5 replicas per shard
Storage 100TB
Online Scaling Shards, primary nodes and read replicas
Scaling Operation
Cluster Resizing (zero-downtime)
• Horizontal Scaling to add/remove shards
• Read Scalability to add/remove replicas

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RDS PostgreSQL Scaling
• Push button, RDS API for scale compute and memory resources.
• Storage Autoscaling
• Provision additional storage on-the-fly with zero downtime
• Scale the throughput by specifying the IOPS rate
• 1,000 IOPS to 80,000 IOPS in 1,000 IOPS increments and storage from 100 GB and 64TB.
• Read Replicas for read intensive workloads with Horizontal Scaling

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Performance

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MemoryDB – Performance
Latency: Extremely low, microsecond to millisecond responses
Request Rate: Thousands to millions of reads and/or writes
per second

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Agility

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EKS - Agility
• Easier to automate and scale container-based workloads for live
production environments.
• Reconciles the state of the object against declarative state.
• CI/CD integration for quick build, test and deployment.

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Demo

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Demo Architecture

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Q&A

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Thank you!