Java has been the leading programming language for more than 20 years. However, many people still believe that Java is complex, heavyweight, and memory-hungry. Today, other languages and especially modern serverless approaches seem to overtake Java more and more. What are the plans for Java, is Java also suited for the cloud, what is coming next and, why should I continue to use Java in the future? Good news: The holy grail is already found! With GraalVM and a new generation of microservices frameworks such as Micronaut, a completely new Java technology stack is emerging that will replace Java as we know it so far and bring Java to a completely new level and establish it in the cloud. Developing native applications with Java, Java as fast as C, app start in milliseconds, minimal memory footprint, and database access up to 1000 times faster. This is not a vision - it is already possible today. In this session, you will learn everything about the Java technology stack of the future and how you can use it to develop lightweight and at the same time ultra-fast in-memory cloud-native applications and microservices in Java. While watching our incredible performance demo, you better fasten your seatbelt.

1. High-Performance Java-Cloud-Native
Apps & Microservices
JCON2020#
www.jcon.one
Markus Kett
CEO MicroStream
Our Partners 2020:

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3. Software systems of the future will
produces tons of data, must be able
to process tons of data in realtime,
must run in the cloud as well as on
devices and machines. Java is 25
years old! Is Java really suited and
ready for the future? Are today‘s
database still fast enough?

4. #1 69% #151B 30B
Programming
Language
Developers
Run Java
Active JVMs Active
Cloud JVMs
Developer Choice
in the Cloud
Source: Oracle

5. RDBMS
Cache
OS
JVM
In-Memory Database
In-Memory Data Grid
Distributed Cache
ORM
App Server
App

6. RDBMS
Cache
OS
JVM
In-Memory Database
In-Memory Data Grid
Distributed Cache
ORM
App Server
App

7. RDBMS
Cache
JVM
In-Memory Database
In-Memory Data Grid
Distributed Cache
App
Container Platform
Container
ORM
App Server

8. RDBMS
Cache
JVM
In-Memory Database
In-Memory Data Grid
Distributed Cache
ORM
Microframework
App
Container Platform
Container

9. RDBMS
In-Memory Database
In-Memory Data Grid
Distributed Cache
Container Platform
NoSQL

10. From Full Stack to
Microservice
Frameworks

11. Polyglot Programming Native Images Startup Time Memory Footprint

12. RDBMS
In-Memory Database
In-Memory Data Grid
Distributed Cache
Container Platform

13. RDBMS
Java VM
Tables
Java Object Graph
Queries
Impedance Mismatch !

14. RDBMS
Java VM
Tables
Java Object Graph
OR-Mapping

15. Java Object Graph
Key-Value / Document /
Graph / Column-Store
NoSQL
Impedance Mismatch !
Java VM

16. HDD
~ 9 ms
~ 9,000,000 ns
CPU Cache
< 1 ns
DRAM
~ 65 ns
~ 100,000x faster than HDD
~ 4,500x faster than SSD
SSD HDD
~ 250 µs
~ 250,000 ns

17. RDBMS
Java Objects
NoSQL
Java VM
Local Cache
In-Memory Database
In-Memory Data Grid
Distributed Cache
Data Streaming Platform
OR-Mapping
Custom Mapping (NoSQL)

18. Java Object Graph
Key-Value / Document /
Graph / Column-Store
NoSQL
Java VM
Mapping
RDBMS
Distributed Cache / IMDB / IMDG
Local Cache
Tables
Key-Value
Impedance Mismatch !

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21. Today’s Database Application Infrastructures
are highly inefficient, complex, and expensive
Database Cluster
Distributed Application
Distributed Cache
In-Memory DB / Data-Grid
$

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High Effort of Development:

25. Object Graph

26. Object Graph

27. RAM
Storage

28. RAM
Storage

31. RDBMS
Cache
GraalVM / Quarkus
In-Memory Database
In-Memory Data Grid
Distributed Cache
ORM
Microservice Framework
App
Container Platform
Container

32. RDBMS
MicroStream
GraalVM / Quarkus
In-Memory Database
In-Memory Data Grid
Distributed Cache
Data Streaming Platform
Microservice
Microservice Framework
Container Platform
Container
NoSQL
Cloud Object Store

33. RDBMS
NoSQL
Native Images:
Microservice Frameworks:
Persistence:

34. RDBMS
Binaries
MicroStream

35. Performance Enables Revolutionary
New Innovations, Features and Products
Today – AI, ML, IoT, Automotive
1960s – The Main Frame
1976 – The Personal Computer
1983 – The Graphical User Interace
2007 – The Smartphone

36. Revolutionizing Cloud Infrastructure
- 87.5 %
40 vCPUs
$18,800
Per year
Only 1 Machine !
320 vCPUs
$134,400
Per year
Conventional Cluster for Running a globally App
Today with MicroStream:
Costs of Infrastructure
annually

37. Simplifies your Development Process
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41. Producer
JVM
Consumer
JVM
Consumer
JVM
Consumer
JVM
Consumer
JVM
Consumer
JVM
Object-Stream-Mapping

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44. Note
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45. HACKATHON
www.microstream.one
$10,000 prize
Deadline: November 30
SHOW EXCITING USE-CASES AND HOW
MICROSTREAM INTEGRATES WITH ANY FRAMEWORK OR LIBRARY.
TICKET CODE: MICROSTREAM-WORKSHOP – OCT. 30 09:00 or 18:00 CET
SHOW EXCITING USE-CASES AND HOW
MICROSTREAM INTEGRATES WITH ANY FRAMEWORK OR LIBRARY.
MicroStream goes Open Source !