~/conference

Java Z-Day 2021

java developers, spring developers, backend engineers, platform engineers, site reliability engineers, kotlin developers, data engineers

spring boot starter development; spring cloud stream with Kafka; JDK 16 Records and Panama; kotlin coroutines and null-safety; java reflection proxies for repositories; spring boot monitoring with Micrometer and Prometheus; RSocket leasing and resumability; distributed Java cache with rendezvous hashing; Spark-backed Spring Data repositories; Kafka Streams with interactive queries; foreign memory and Vector API (incubator)

titleauthorlength
Spring Data Postroitel (Spark it!)Evgeny Borisov05h 19m
A walk-through of how Spring Data works by building a minimal custom implementation that mimics its features. The talk examines Spring Data’s patterns for…
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The Power of JVM LanguageMichal Szczepanik01h 12m
Covers concrete JVM tradeoffs: Kotlin’s null-safety with nullable types and Elvis operator and extension functions that become static helpers on the bytecode…
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Protect your invariants — A practical TDD sessionOresztesz Margaritisz01h 06m
Builds a bowling-score evaluator using strict TDD (red–green–refactor) with unit tests driving a Game composed of Frame types: nine intermediate frames and one…
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JDK 16: What's Next For Java?Simon Ritter01h 13m
JDK 16 arrives with 17 JEPs and 58 new core class elements, turning Records and pattern matching for instanceof into standard language features, adding Records…
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Bootiful Stream Processing!Viktor Gamov01h 11m
Live-code builds a Spring Boot microservice that uses Spring Cloud Stream and the Kafka binder to produce Chuck Norris facts, consume them, and run a Kafka…
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Hand-made Spring Boot StarterTimofey Zubkov01h 02m
Live code builds a real signature-starter library plus a sample service (two-module project), using Spring Initializr, auto-configuration via spring.factories…
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Introduction to Spring Boot Application monitoringTomasz Pysko56m
Practical walkthrough of instrumenting a Spring Boot service using Micrometer to expose metrics via Actuator, scraped by Prometheus, routed through…
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True Serverless Applications Implementing Cloud Native Access Control ServicePéter Verhás01h 04m
Centralized, cloud-native serverless access control called advocada implements policy-based, record-level ACLs with prohibitive rules and a guard+advocate…
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Two Sloths from the Java UniverseNikolay Shipyakov57m
Comparison of Java Streams and Kotlin Sequence: explains how each mechanism works internally, highlights similarities and key differences in design and…
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Kotlin: why and how?Elena Moshnikova01h 05m
Kotlin’s adoption metrics, concrete language features and a working open-source app decide the case: growth on GitHub shows ~1.2M active users and ~4M trying…
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Distributed Java Databases Under the HoodValentin Kulichenko01h 08m
Builds a tiny distributed in‑memory Java key‑value cache with a ConcurrentHashMap storage, plain Java sockets for client/server comms, and etcd for topology…
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100% Fast and Resilient Microservice with RSocketOleh Dokuka01h 52m
A Spring Boot WebFlux microservice demo (Petchkin → BigBrother → AgentSmith) shows HTTP strategies that fail under load: drop, retry, local rate limiting and a…
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