Markus Kett

Build ultra-fast In-Memory Database Apps and Microservices with Java

Is your ORM the real bottleneck? See how Java-native persistence queries data directly in RAM, making your microservices up to 1000x faster.

Build ultra-fast In-Memory Database Apps and Microservices with Java
#1about 4 minutes

The challenge of real-time data in modern applications

Modern applications for AI, IoT, and machine learning require processing vast amounts of data in real-time, questioning if traditional Java and databases are fast enough.

#2about 5 minutes

How cloud architecture evolved from monoliths to microservices

The industry shifted from monolithic applications on physical servers to containerized microservices orchestrated by platforms like Kubernetes.

#3about 7 minutes

Java's adaptation for cloud-native and serverless computing

Java became suitable for microservices through lightweight frameworks, GraalVM native images for fast startups, and serverless function platforms.

#4about 8 minutes

The object-relational impedance mismatch in persistence

Storing complex Java object graphs in relational or NoSQL databases creates an impedance mismatch, requiring costly data conversion and mapping for every operation.

#5about 7 minutes

Introducing the system prevalence pattern with MicroStream

The system prevalence pattern keeps the entire application state in memory for ultra-fast queries and uses snapshots for persistence, a concept implemented by MicroStream.

#6about 7 minutes

Exploring the MicroStream persistence engine architecture

MicroStream is a Java-native persistence library that serializes object subgraphs to various storage backends without mapping, supporting lazy loading and class versioning.

#7about 5 minutes

MicroStream usage patterns, limitations, and benefits

MicroStream operates as a single-node storage solution within the JVM process, offering significant performance gains and cost savings but does not use SQL.

#8about 1 minute

Combining persistence strategies in a microservices world

Microservice architectures allow you to choose the best persistence technology for each service, enabling combinations of MicroStream with relational databases or search engines.

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Matching moments

Using Java's native power for high-speed data processing
02:46 MIN

Using Java's native power for high-speed data processing

Databaseless Data Processing - High-Performance for Cloud-Native Apps and AI

A new paradigm: Database-less processing and system prevalence
04:26 MIN

A new paradigm: Database-less processing and system prevalence

In-Memory Computing - The Big Picture

Using Quarkus and GraalVM for fast Java startup
02:07 MIN

Using Quarkus and GraalVM for fast Java startup

Serverless Java in Action: Cloud Agnostic Design Patterns and Tips

Answering questions on Micronaut and its ecosystem
07:13 MIN

Answering questions on Micronaut and its ecosystem

Microservices with Micronaut

Solving Java's serverless challenges with Quarkus
02:21 MIN

Solving Java's serverless challenges with Quarkus

Serverless-Native Java with Quarkus

Using MicroProfile for cloud-native Java features
01:00 MIN

Using MicroProfile for cloud-native Java features

2021: Familiar APIs on Kickass Runtimes #slideless

Why traditional Java frameworks are slow in the cloud
02:46 MIN

Why traditional Java frameworks are slow in the cloud

Microservices with Micronaut

Optimizing Java performance for cloud-native applications
03:11 MIN

Optimizing Java performance for cloud-native applications

Cloud Chaos and Microservices Mayhem

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