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© Copyright 2018 Pivotal Software, Inc. All rights Reserved. Version 1.0
5 Tips for Getting Started
with Pivotal GemFire
Cover w/ Image
Agenda
■ Learn from Examples
■ Keep it Simple
■ Automate Upgrade Process
■ Data Modeling
■ Apache Geode Community
■ Q+A
Learn from Examples
GETTING STARTED WITH GEMFIRE
Examples
github.com/apache/geode-examples
YouTube
Playlists on Pivotal Channel
https://www.youtube.com/user/Pivotal
OpenSourceHub/playlists
Keep It Simple
GETTING STARTED WITH GEMFIRE
Latency
Latency Comparison Numbers
--------------------------
L1 cache reference 0.5 ns
Branch mispredict 5 ns
L2 cache reference 7 ns 14x L1 cache
Mutex lock/unlock 25 ns
Main memory reference 100 ns 20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy 3,000 ns 3 us
Send 1K bytes over 1 Gbps network 10,000 ns 10 us
SSD Seek 100,000 ns 100 us
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD
Read 1 MB sequentially from memory 250,000 ns 250 us
Round trip within same datacenter 500,000 ns 500 us
Read 1 MB sequentially from SSD* 1,000,000 ns 1,000 us 1 ms ~1GB/sec SSD, 4X memory
Disk seek 10,000,000 ns 10,000 us 10 ms 20x datacenter roundtrip
Read 1 MB sequentially from disk 20,000,000 ns 20,000 us 20 ms 80x memory, 20X SSD
Send packet CA->Netherlands->CA 150,000,000 ns 150,000 us 150 ms
1 Credit Jeff Dean, Peter Norvig, and Jonas Bonér
Why In-Memory
Hardware True Time Scaled Time
Memory 250,100 ns 2 days
SSD 1,100,000 ns 9 days
Disk 30,000,000 8 months
Read 1 MB Comparison
Network
Latency Comparison Numbers
--------------------------
L1 cache reference 0.5 ns
Branch mispredict 5 ns
L2 cache reference 7 ns 14x L1 cache
Mutex lock/unlock 25 ns
Main memory reference 100 ns 20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy 3,000 ns 3 us
Send 1K bytes over 1 Gbps network 10,000 ns 10 us
SSD Seek 100,000 ns 100 us
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD
Read 1 MB sequentially from memory 250,000 ns 250 us
Round trip within same datacenter 500,000 ns 500 us
Read 1 MB sequentially from SSD* 1,000,000 ns 1,000 us 1 ms ~1GB/sec SSD, 4X memory
Disk seek 10,000,000 ns 10,000 us 10 ms 20x datacenter roundtrip
Read 1 MB sequentially from disk 20,000,000 ns 20,000 us 20 ms 80x memory, 20X SSD
Send packet CA->Netherlands->CA 150,000,000 ns 150,000 us 150 ms
1 Credit Jeff Dean, Peter Norvig, and Jonas Bonér
Object Serialization
Keep It Simple By
Don’t focus on optimizations too early in the design
process
● Use PDX and Reflection
● Use default parameters
● If writing Java and Spring, use Spring-Data-Gemfire
github.com/spring-projects/spring-data-geode
Apache Geode Summit 2018 (Sept 24, Washington D.C)
14 Geode Related Sessions & Community Discussion Panel
Automate Upgrade Process
GETTING STARTED WITH GEMFIRE
Upgrades
Make upgrades a priority
● Performance
● Statability
● Ease of use
Pivotal Cloud Cache
Data Modeling
GETTING STARTED WITH GEMFIRE
Data Modeling
NoSQL doesn’t mean no data modeling
● Regions model objects, not teams
● Use clusters and security to divide teams and
applications
● Key, value mindset vs. Relational mindset
NoSQL
Apache Geode Community
GETTING STARTED WITH GEMFIRE
Community
Engage with the Apache Geode community
● Community page: http://geode.apache.org/community/
● User and dev list
○ user-subscribe@geode.apache.org
○ dev-subscribe@geode.apache.org
● Community JIRA: issues.apache.org/jira/browse/GEODE/
● StackOverflow:
○ https://stackoverflow.com/questions/tagged/geode
● Github: https://github.com/apache/geode
Apache Geode
Q+A
GETTING STARTED WITH GEMFIRE
Transforming How The World Builds Software
© Copyright 2018 Pivotal Software, Inc. All rights Reserved.

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5 Tips for Getting Started with Pivotal GemFire

  • 1. © Copyright 2018 Pivotal Software, Inc. All rights Reserved. Version 1.0 5 Tips for Getting Started with Pivotal GemFire
  • 2. Cover w/ Image Agenda ■ Learn from Examples ■ Keep it Simple ■ Automate Upgrade Process ■ Data Modeling ■ Apache Geode Community ■ Q+A
  • 3. Learn from Examples GETTING STARTED WITH GEMFIRE
  • 5. YouTube Playlists on Pivotal Channel https://www.youtube.com/user/Pivotal OpenSourceHub/playlists
  • 6. Keep It Simple GETTING STARTED WITH GEMFIRE
  • 7. Latency Latency Comparison Numbers -------------------------- L1 cache reference 0.5 ns Branch mispredict 5 ns L2 cache reference 7 ns 14x L1 cache Mutex lock/unlock 25 ns Main memory reference 100 ns 20x L2 cache, 200x L1 cache Compress 1K bytes with Zippy 3,000 ns 3 us Send 1K bytes over 1 Gbps network 10,000 ns 10 us SSD Seek 100,000 ns 100 us Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD Read 1 MB sequentially from memory 250,000 ns 250 us Round trip within same datacenter 500,000 ns 500 us Read 1 MB sequentially from SSD* 1,000,000 ns 1,000 us 1 ms ~1GB/sec SSD, 4X memory Disk seek 10,000,000 ns 10,000 us 10 ms 20x datacenter roundtrip Read 1 MB sequentially from disk 20,000,000 ns 20,000 us 20 ms 80x memory, 20X SSD Send packet CA->Netherlands->CA 150,000,000 ns 150,000 us 150 ms 1 Credit Jeff Dean, Peter Norvig, and Jonas Bonér
  • 8. Why In-Memory Hardware True Time Scaled Time Memory 250,100 ns 2 days SSD 1,100,000 ns 9 days Disk 30,000,000 8 months Read 1 MB Comparison
  • 9. Network Latency Comparison Numbers -------------------------- L1 cache reference 0.5 ns Branch mispredict 5 ns L2 cache reference 7 ns 14x L1 cache Mutex lock/unlock 25 ns Main memory reference 100 ns 20x L2 cache, 200x L1 cache Compress 1K bytes with Zippy 3,000 ns 3 us Send 1K bytes over 1 Gbps network 10,000 ns 10 us SSD Seek 100,000 ns 100 us Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD Read 1 MB sequentially from memory 250,000 ns 250 us Round trip within same datacenter 500,000 ns 500 us Read 1 MB sequentially from SSD* 1,000,000 ns 1,000 us 1 ms ~1GB/sec SSD, 4X memory Disk seek 10,000,000 ns 10,000 us 10 ms 20x datacenter roundtrip Read 1 MB sequentially from disk 20,000,000 ns 20,000 us 20 ms 80x memory, 20X SSD Send packet CA->Netherlands->CA 150,000,000 ns 150,000 us 150 ms 1 Credit Jeff Dean, Peter Norvig, and Jonas Bonér
  • 11. Keep It Simple By Don’t focus on optimizations too early in the design process ● Use PDX and Reflection ● Use default parameters ● If writing Java and Spring, use Spring-Data-Gemfire
  • 13.
  • 14. Apache Geode Summit 2018 (Sept 24, Washington D.C) 14 Geode Related Sessions & Community Discussion Panel
  • 15. Automate Upgrade Process GETTING STARTED WITH GEMFIRE
  • 16. Upgrades Make upgrades a priority ● Performance ● Statability ● Ease of use Pivotal Cloud Cache
  • 18. Data Modeling NoSQL doesn’t mean no data modeling ● Regions model objects, not teams ● Use clusters and security to divide teams and applications ● Key, value mindset vs. Relational mindset NoSQL
  • 19. Apache Geode Community GETTING STARTED WITH GEMFIRE
  • 20. Community Engage with the Apache Geode community ● Community page: http://geode.apache.org/community/ ● User and dev list ○ user-subscribe@geode.apache.org ○ dev-subscribe@geode.apache.org ● Community JIRA: issues.apache.org/jira/browse/GEODE/ ● StackOverflow: ○ https://stackoverflow.com/questions/tagged/geode ● Github: https://github.com/apache/geode Apache Geode
  • 22. Transforming How The World Builds Software © Copyright 2018 Pivotal Software, Inc. All rights Reserved.