01282016 Aerospike-Docker webinar

High Performance NoSQL Database
From Development to
Deployment with
Docker & Aerospike
Powering New Opportunities at Scale

10x LOWER TCO10X Faster and 10X Fewer
REAL WORLD CUSTOMER EXAMPLE
The Bottom Line

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Proprietary & Confidential | © 2015 Aerospike Inc. All rights reserved.
Existing Architectures Are Broken
Challenges
•  Complex
•  Maintainability
•  Durability
•  Consistency
•  Scalability
•  Cost ($)
•  Data Lag
Caching Layer
Operational Database
Real-time
Consumer Facing
Pricing /
Inventory/Billing
Real-time
Decisioning
Streaming
Data
Legacy Database
(Mainframe)
RDBMS
Database
Transactional
Systems
Enterprise Environment
Legacy RDBMS
HDFS BASED

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Flash Optimized High Performance
OTHER DATABASE
OS FILE SYSTEM
PAGE CACHE
BLOCK INTERFACE
SSD HDD
OTHER
DATABASE
AEROSPIKE FLASH OPTIMIZED
IN-MEMORY DATABASE
BLOCK INTERFACE
SSD SSD
OPEN NVM
SSD
AEROSPIKE
HYBRID MEMORY SYSTEM™
•  Direct device access
•  Large Block Writes
•  Indexes in DRAM
•  Highly Parallelized
•  Log-structured FS “copy-on-write”
•  Fast restart with shared memory

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Use Cases

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AdTech – Real-Time Bidding
Challenge
•  Low read latency (milliseconds)
•  100K to 5M operations/second
•  Ensure 100% uptime
•  Provide global data replication
Performance achieved
•  1 to 6 billion cookies tracked
•  5.0M auctions per second
•  100ms ad rendering, 50ms real-time bidding,
1ms database access
•  1.5KB median object size
Selected Aerospike NoSQL over competition
•  10X fewer nodes
•  10X better TCO
•  20X better read latency
•  High throughput at low latency
Ads is Displayed
Publishers
Ad Networks & SSPs
Ad Exchanges
Demand Side
Platform
Data Management
Platforms
Brands Agencies Buyers
0 ms 100 ms

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Challenge
•  Overall SLA 750 ms
•  Loss of business due to latency
•  Every credit card transaction requires
hundreds of DB reads/writes
Need to Scale Reliably
•  10 à 100 TB
•  10B à 100 B objects
•  200k à I Million+ TPS
Selected Aerospike In-Memory NoSQL
•  Built for Flash
•  Predictable low latency at high throughput
•  Immediate consistency, no data loss
•  Cross data center (XDR) support
•  20 server cluster
•  Dell 730xd w/ 4NVMe SSDs
Credit Card Processing System
Fraud Detection & Protection App
Rules
Rule 1
Rule 2
Rule 3
Historical Data
Rule 1-Passed
Rule 2-Passed
Rule 3-Failed
Account Behavior
Static Data
Account Statistics
Real-time Fraud Prevention

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Container Mission – Reduce Complexity
Build Ship Run
Open Standards
Plumbing
Pla3orm Clustering Distribution
Image specContainer run-time spec
RunC
Notary

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Coalition of industry leaders join forces to eliminate
fragmentation
•  Form a vendor-neutral, open source governance model under the
Linux Foundation
•  Establish common standards for container format and runtime
•  Docker donated its container format, runtime and associated
specifications
•  Appoint maintainers for the libcontainer project
Open Container Initiative (OCI)
http://www.opencontainers.org/

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■  Shared nothing architecture
■  Automatic hashing of keys across the cluster
■  RIPEMD-160 collision free algorithm with Smart Partitions™
■  Automatic healing & rebalancing of the cluster
■  Automated cluster discovery
■  Smart Client™
■  Java, C/C++, C#, Python, Node.js…
■  Automatic replication of data across nodes
Why Aerospike and Containers?

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■  Scale (up and out) the persistence layer
■  Eliminate reconfiguration of the application and database tier
■  Utilize Containers on your dedicated infrastructure or cloud
Aerospike enables

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■  Build & Run an App in Development
■  Python + Aerospike
■  Deploy to a Swarm cluster in Production
■  Scale Web services
■  Scale Aerospike Cluster in production
Demo: Development through to Production

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Lets build an App!
web
Aerospike
Development
python / flask

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Scale in Production
web2 web3 web4 webNweb web1
Aerospike
Development
…
Production
HA Proxy
asd1 asdNasd2 …

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Demo 1 : Build an App

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Roll the App to Production behind HA Proxy
web web1
Development Production
Aerospike
HA Proxy
Aerospike

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Scale the web tier
Aerospike
Development
…
Production
Aerospike
HA Proxy

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Docker Networking

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Demo 2 : Scale the Web Tier

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Scale the Aerospike cluster
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mongodb
Development
…
Production
HA Proxy
asd1 asdNasd2 …

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Demo 3 : Scale the Cluster

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Inside
■  Encapsulation of Concerns
Storage: Inside or outside the container?
Host
daemon
container
Host
daemon
container e.g.
SSD
e.g.
EBS
Outside
•  Separation of concerns
•  Storage Features (e.g. snapshots)
/data/db
/mnt/xx:/data/db
/dev/xvdb

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Summary
• Define Container, their contents and how they work together once
• Deploy the same images in Dev, Pre-Prod and Production across
Platforms
One solution from Dev -> Production
• Ops define the whitelisted images, security policies etc.
• Dev use approved images to build upon
• Eliminate the complexity (and cost) of deployment
Running Docker & Aerospike in Production

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■  Code
■  http://github.com/alvinr/docker-demo/tree/master/aerospike
■  Docker Images
■  http://hub.docker.com/r/aerospike/
■  Contact me!
■  alvin@aerospike.com
■  @jonnyeight
Thanks and Q&A

01282016 Aerospike-Docker webinar

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