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Large Scale Streaming Analytics
using Cloud Services (AWS)
Jay Palaniappan
Principal Solutions Architect
Agilisium
Real-time Data
• App Events
• Game Telemetry
• Ad Tracking
• Social Media
• IoT
Challenges
• Performance
• Scalability
• Reliability
• Operational Overhead
AWS - Managed Services
Ingest
Kinesis Streams
Kinesis Firehose
Kinesis Analytics
Transform
Lambda
EMR
(Spark/Flink)
Store
S3
Redshift
ElasticSearch
DynamoDB
Analyze
Redshift
ElasticSearch
Athena
QuickSight
Ingest
Kinesis
(Streams)
Firehose
(pipeline)
SDKs/
Agents
Services/
Tools
• Methods
• SDKs
• Agent
• 3rd Party Services
Transform / Store
Kinesis
(Streams)
Lambda
Any DestinationEMR
Firehose
KCL
Transform / Store
Firehose
Transform
S3
Redshift
ElasticSearch
Real-time Analytics
FirehoseKinesis Analytics
(SQL/Flink)
Streams
Lambda
Destinations
Destinations
EMR
(Spark/Flink)
Destinations
Analytics & Data Science
S3
Redshift
ElasticSearch
Catalog Athena
Reporting
Tools
SageMaker
Kibana
Real-time
Data Feed
Raw
Data Store
Batch Analytics
Aggregated
Data Lake
Real-time
Analytics
Central Cloud Region
Events
Data Consumers
(Analysts / Data Scientists)
Player In
Game
Data Feed
Data Pond
Replication
Events
Remote Cloud Region
Solution Architecture (Logical)
Solution Architecture (System)
us-west-2
sa-east-1
Cross Region Replication
Kinesis
(Streams)
Firehose
(Parquet Conversion)
S3
(Storage)
Crawler
(Table Updates)
Catalog
(Tables)
Athena
(Queries)
Lambda
(Create Aggregates)
Redshift
(Aggregates)
Firehose
(Persistence)
Kinesis Analytics
(Realtime Aggregations)
Streams
(Consolidated)
Kinesis
(In Game Streams)
Firehose
(Parquet Conversion)
Stream Aggregator
Stream Aggregator
S3
(Storage)
Data Analysts
Events
1 Minute
5 Mins
Events
CI / CD
CodeCommit CodeBuild CloudFormation
Deployment
CodePipeline
Well Architected Framework
• Security
• Reliability
• Performance Efficiency
• Cost Optimization
• Operational Excellence
Thank You!
Questions?

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