HazelCast

Oct 26, 20181 like553 views

This document provides an overview of HazelCast IMDG (In-Memory Data Grid), which is middleware software that manages objects across distributed servers in RAM, enabling scaling and fault tolerance. It discusses cache access patterns, cache types, use cases for HazelCast including scaling applications and sharing data across clusters, features like dynamic clustering and distributed data structures, data partitioning, and configurations. It also covers advanced techniques, alternatives to HazelCast like Redis, and performance comparisons.

HELLO!
Hiten Pratap Singh
https://github.com/hitenpratap/
https://hprog99.wordpress.com/
hiten@fintechlabs.in
https://hitenpratap.github.io
2

IMDG
▸ Middleware Software
▸ Shared nothing architecture
▸ Manages objects across
distributed servers in the
RAM
▸ Ability to scale
▸ Provides fault tolerance
4

Cache
Access
Patterns
▸ Cache Aside
▸ Read Through/Write Through
▸ Write Behind
▸ Refresh Ahead
6

Cache Types
▸ Local Cache
▸ Replicated Cache
▸ Distributed Cache
▸ Remote Cache
▸ Near Cache
8

HazelCast
Use-Cases
▸ Scale your application
▸ Share data across cluster
▸ Partition your data
▸ Balance the load
▸ Messaging support
▸ Process in parallel on many
JVMs i.e. MPP
11

HazelCast
Features
▸ Dynamic clustering, backup,
discovery and failover
▸ Distributed map, set, list,
queue, lock, semaphore,
topic, query etc.
▸ Transport support
▸ Naive clients for accessing
clusters remotely
13

HazelCast
Configuratio
ns
▸ Programmatic Configuration
▸ XML COnfiguration
Note: It’s very important that configuration on every members
in a cluster must be the same, it doesn’t matter which one do
you choose.
17

Advanced
Techniques
▸ Indexing keys, values
▸ Distributed SQL like queries
▸ Write-Behind/Write-Through
persistence
▸ EntryListeners/EntryProcess
ors
▸ Automatic Eviction
▸ Control Partitioning
19

THANKS!
Any questions?
You can find me at
▸ https://github.com/hitenpratap/
▸ https://hprog99.wordpress.com/
▸ hiten@fintechlabs.in
▸ https://hitenpratap.github.io
28

References
▸ https://whatis.techtarget.com/definition/in-me
mory-data-grid
▸ https://www.slideshare.net/jaxlondon2012/clus
tering-your-application-with-hazelcast
▸ https://www.slideshare.net/tmatyashovsky/dist
ributed-applications-using-hazelcast
▸ https://www.slideshare.net/tmatyashovsky/fro
m-cache-to-in-memory-data-grid-introduction-to-
hazelcast
▸ https://www.slideshare.net/memndmrc/introdu
ction-to-hazelcast-45064074
▸ https://hazelcast.com/use-cases/nosql/redis-re
placement/
▸ https://blog.hazelcast.com/hazelcast-radargun/
29

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HazelCast

1. HazelCast IMDG

2. HELLO! Hiten Pratap Singh https://github.com/hitenpratap/ https://hprog99.wordpress.com/ [email protected] https://hitenpratap.github.io 2

3. IMDG: In Memory Data Grid 3

4. IMDG ▸ Middleware Software ▸ Shared nothing architecture ▸ Manages objects across distributed servers in the RAM ▸ Ability to scale ▸ Provides fault tolerance 4

5. Cache Access Patterns 5

6. Cache Access Patterns ▸ Cache Aside ▸ Read Through/Write Through ▸ Write Behind ▸ Refresh Ahead 6

7. Cache Types 7

8. Cache Types ▸ Local Cache ▸ Replicated Cache ▸ Distributed Cache ▸ Remote Cache ▸ Near Cache 8

9. IMDG 9 In Memory Data Grid

10. HazelCast Use-Cases 10

11. HazelCast Use-Cases ▸ Scale your application ▸ Share data across cluster ▸ Partition your data ▸ Balance the load ▸ Messaging support ▸ Process in parallel on many JVMs i.e. MPP 11

12. HazelCast Features 12

13. HazelCast Features ▸ Dynamic clustering, backup, discovery and failover ▸ Distributed map, set, list, queue, lock, semaphore, topic, query etc. ▸ Transport support ▸ Naive clients for accessing clusters remotely 13

14. Data Partition in a Cluster 14

15. Data Partition in a Cluster 15

16. HazelCast Configuration 16

17. HazelCast Configuratio ns ▸ Programmatic Configuration ▸ XML COnfiguration Note: It’s very important that configuration on every members in a cluster must be the same, it doesn’t matter which one do you choose. 17

18. Advanced Techniques 18

19. Advanced Techniques ▸ Indexing keys, values ▸ Distributed SQL like queries ▸ Write-Behind/Write-Through persistence ▸ EntryListeners/EntryProcess ors ▸ Automatic Eviction ▸ Control Partitioning 19

20. HazelCast Alternatives 20

21. HazelCast Alternatives 21

22. Who Uses HazelCast! 22

23. Who Uses HazelCast! 23

24. Hazelcast VS Redis 24

25. Hazelcast VS Redis - ThroughPut 25

26. Hazelcast VS Redis - Latency 26

27. Demo Time 27

28. THANKS! Any questions? You can find me at ▸ https://github.com/hitenpratap/ ▸ https://hprog99.wordpress.com/ ▸ [email protected] ▸ https://hitenpratap.github.io 28

29. References ▸ https://whatis.techtarget.com/definition/in-me mory-data-grid ▸ https://www.slideshare.net/jaxlondon2012/clus tering-your-application-with-hazelcast ▸ https://www.slideshare.net/tmatyashovsky/dist ributed-applications-using-hazelcast ▸ https://www.slideshare.net/tmatyashovsky/fro m-cache-to-in-memory-data-grid-introduction-to- hazelcast ▸ https://www.slideshare.net/memndmrc/introdu ction-to-hazelcast-45064074 ▸ https://hazelcast.com/use-cases/nosql/redis-re placement/ ▸ https://blog.hazelcast.com/hazelcast-radargun/ 29

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