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.

1. HazelCast IMDG

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