Courses à la carte
Hazelcast Training Courses provide the learner with a structured, step-by-step approach to learning how to work with the Hazelcast platform.
Introduction to Hazelcast
Start here to learn about the Hazelcast in-memory platform, create and run simple code examples, and learn operational basics.
How to configure Hazelcast cluster members
Stream Processing Essentials
The basics of stream processing using Hazelcast Jet
In-Memory Storage Essentials
The basics of using Hazelcast for in-memory storage
In Memory Computing Essentials
The basics of using Hazelcast for in-memory computing
Concurrency in a distributed system? Here's how we do it.
Hazelcast Security Features
Learn how to secure your Hazelcast clusters and clients
Migrating to IMDG 4.0
A guide to successfully migrating your applications to IMDG 4.0
Learn how to successfully deploy Hazelcast data across wide-area networks
DevOps with Hazelcast
Coming soon! Integrating Hazelcast into your Developer Operations environment
Use Hazelcast Management Center to manage, monitor, and validate your Hazelcast cluster
Developer Essentials Credential Exam
Pass this exam with a score of 80% or more to earn the Developer Essentials credential
Operations Credential Exam
Coming soon! Pass this exam with a score of 80% or more to earn the Operations credential
Tech Talk: Advanced Kubernetes: Lesson Learned from Building a Managed Service
In this session, Huseyin Babal will talk about how to create a multi-tenant environment on Kubernetes to build a managed service.
Tech Talk: Stream processing and Open Data: A Match Made in Heaven
In this video, Hazelcast's Nicolas Frankel discusses stream processing and open data at Southern California Linux Expo 2020.
Tech Talk: 3 Easy Improvements in Your Microservices Architecture
This video will show how Hazelcast In-Memory Data Grid can help you in each one of those areas and how to configure it.
Tech Talk: Machine Learning at Scale Using Distributed Stream Processing
This video will show one approach which allows you to write a low-latency, auto-parallelized and distributed stream processing pipeline in Java that seamlessly integrates with a data scientist’s work taken in almost unchanged form from their Python development environment.
Tech Talk: Security: It's about time.
This video talks about new technologies that can impact response times.
Tech Talk: Low Latency Data Processing in the Era of Serverless
In this talk, we will see how easily you can build a low-latency processing layer for the Lambda Functions using the Hazelcast Cloud - a fully managed Hazelcast IMDG service.
Tech Talk: Ways to Recover In-Memory Data in a Disaster
In this video, Alparslan Avci explains recovering in-memory data in a disaster.
Tech Talk: In-Memory Data Streams with Jet
In this video, Alparslan Avci explains in-memory data streams with Jet.
Tech Talk: Distributed HTTP Caching in Cloud Native
This video will talk about the problem with real life scenarios, and then provide a hands-on resolution by using Hazelcast IMDG which is a popular in-memory data grid.
Tech Talk: Distributed Java 8 Streams with Hazelcast Jet
In this video, Fuad Malikov talks about distributed Java 8 streams with Hazelcast Jet.
Tech Talk: Where Is My Cache? Architectural Patterns for Caching Microservices by Example
In this video, Rafal Leszko teaches architectural patterns for caching microservices by example.
Tech Talk: Streaming in the World of Legacy Applications
This video introduces a practical introduction to CDC (Change Data Capture). It covers an architecture, trade-offs, tooling, and demos.
Tech Talk: Stream Processing in Java
This video discuss three focal points of modern streaming stacks: time, connectivity and scale.
Tech Talk: React: Lifting state up is killing your app
In this video, Andrey Goncharov discusses React at Agent.
Tech Talk: How In-Memory Computing Enables a New Generation of Microservices
This video discusses why today’s business solutions need a next-generation microservices architecture.
Tech Talk: Standardize Caching in Java: JCache
This video gives an overview of the API itself at a glance and see what JCache brings us.
Tech Talk: Persisting In-Memory Data for Later Usage
This video will show how one can persist it anyway to use it at a later time with the help of Hazelcast's API.
Tech Talk: Performance Testing Done Right
This video will identify problems and common mistakes during performance testing.
Tech Talk: Using Hazelcast in The Kappa Architecture
This video looks at the Kappa Architecture and the role Hazelcast can play as the real-time streaming & serving layers.
Tech Talk: In-Memory Analytics with Spark and Hazelcast
This video will explore Spark and see how it works together with Hazelcast to provide a robust in-memory open-source big data analytics solution.
Tech Talk: From Monolith to Microservices with the help of Hazelcast
This video will be looking at how you can use the distributed nature of Hazelcast as part of your broader strategy for simplifying and splitting up your monolith.
Tech Talk: GameDuell Techtalk with Greg Luck on caching technology
This video presents the theory of caching technology and introduced the new standard in detail.
Tech Talk: Viktor Gamov on In-Memory Data Grids
In this video, Viktor Gamov discusses in-memory data grids.
Tech Talk: The Latest Dispatches from Planet Hazelcast
This video shares the latest from the caching specialists.
Tech Talk: Distributed Snapshots
This video describes the Chandy-Lamport algorithm that can be used to consistently snapshot the global state of a distributed system. I’ll also describe its special simplified case that’s used in Jet.