Building Reactive Applications With Node.Js And Red Hat JBoss Data Grid (Galder Zamarreño & Divya Mehra)

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Node.js is a very popular framework for developing asynchronous, event-driven, reactive applications. Red Hat JBoss Data Grid, an in-memory distributed database designed for fast access to large volumes of data and scalability, has recently gained compatibility with Node.js letting reactive applications use it as a persistence layer. Thanks to near caching, JBoss Data Grid offers excellent response times for data queried regularly, and its continuous remote event support means data can get pushed from the data grid to the Node.js application instead of having to wait for the data grid to serve it. In this session, we'll show how to build Node.js applications that use JBoss Data Grid as a persistence layer.

Logiciels

Building reactive applications with
Node.js and Red Hat JBoss Data Grid
Galder Zamarreño Arrizabalaga
Divya Mehra

Galder Zamarreño Arrizabalaga
• Senior Software Engineer @ Red Hat
• Inﬁnispan / JBoss Data Grid co-founder
• JSR-107 expert group member
• Keen interest in functional programming

Divya Mehra
• Principal Product Manager @ Red Hat
• Responsible for Red Hat JBoss Data Grid
roadmap

Agenda
• Introduction to Red Hat JBoss Data Grid
• Building a reactive application with Node.js and Red Hat JBoss Data Grid

Why in-memory data management?
• Large volume, velocity, and
variability of raw data
• Enterprises that can extract
meaningful, actionable information
faster have competitive advantage
• Increase revenues
• Reduce risks

E-commerce website
Challenge: Maintain page load times, while computing relevant purchase recommendations from
data from different sources:
• Mobile device → location
• Social graph →what friends are buying or recommending
• 3rd party sellers or partner sites -> current promotions
• User’s purchase or click-through history -> behavioral targeting
Relevant recommendation can increase conversion by 25%
However, each 1-second increase in page load time → up 10% drop in overall revenue
Can your data platform scale out to large volumes of often-changing data without affecting
application performance?

SaaS Application Provider
Challenge: Users of SaaS application should be unaffected by spikes in demand, node
failure, and system upgrades of the data platform.
Loss of availability and performance will affect SaaS app provider’s SLA to its
customers
• Revenue loss
• Reputation impact
Does your data platform support high availability, elasticity, and rolling
upgrades, necessary for a cloud-native architecture?

Telecom service provider
Challenge: Real-time billing and usage information for thousands of concurrent users
• A customer sends a text, uses data, or makes a call
• Transaction is recorded in the data platform, and the customer’s total usage and bill is
updated immediately triggered by creation of this new entry.
Can your business logic react to changes in the data in real-time and at
scale?

Leader in Forrester Wave™: In-Memory Data Grids, Q3 2015
Ahead in both evaluation
dimensions vs. open source
competitors
1.Current offering
2.Strategy and vision
Download free from:
https://engage.redhat.com/
forrester-data-grid-
s-201509240128

Reactive apps with Node.js and
JBoss Data Grid 7

Elm
• Functional language for Web
• Compiles to Javascript
• No runtime errors in practice
• Statically typed, friendly errors
• Help build well-architected code
• Easy to learn! Easy to use!

Event Manager Microservice
• Node.js middleware
• Based on Express.js
• Listens for HTTP on port 3000
• Uses JDG 7 Node.js client
• Requires Node 0.10 or higher

JDG Persistence
• Runs a JDG 7 server domain
• Formed of 3 nodes
• Each element stored in 2 nodes
• Redundancy via partial replication
• Redundancy for failover

Event Iteration (2)
GET /events
iterate
event 1
event 2
…

Event Iteration (3)
GET /events
iterate
event 1
event 2
…
JSON event[]

Event Insert (2)
POST /events
putIfAbsent

Event Insert (3)
POST /events
putIfAbsent
true/false
created
event

Event Insert (4)
POST /events
putIfAbsent
true/false
created
event
JSON true/false
WS: JSON event
WS: JSON event

Event Search (2)
executeGET /search
?q=query

Event Search (3)
execute
resultsJSON results
GET /search
?q=query

github.com/galderz/inﬁnispan-events/tree/june16

Credits
Window by Oleg Frolov from the Noun Project
Server Error by Montu Yadav from the Noun Project
Databases by Oliviu Stoian from the Noun Project

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A Key to Real-time Insights in a Post-COVID World (ASEAN)

IMS01 IMS Keynote

Cloud-Native Data: What data questions to ask when building cloud-native apps

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In 2022 we heard your GitOps questions at meetups and gatherings, big stages and local panels and one question was often top of mind: how do I get started? The benefits of GitOps are calling your name, but getting started isn’t that straightforward. Red Hat is excited to kick off 2023 with a DevNation TechTalk, focused on GitOps to help you sift through your questions. At DevNation you’ll hear from passionate GitOps practitioners about the pitfalls to avoid and hurdles to jump while kicking off or evolving your GitOps practices. This event is aimed at audiences that are new to GitOps or early in their practice development within a cloud native environment. During this live session you’ll learn: Upcoming updates and key milestones in the ArgoCD roadmap and how Red Hat will support them How to simplify the delivery GitOps across multi-cloud environments GitOps best practices from experts at: PostNord Strålfors: Filip Jansson Arbetsförmedlingen: Misho Kmetovski & Richard Hermansson Swiss Railways (SBB): Manuel Wallrapp & Thomas Bruederli Plus stick around for an “Ask me Anything” segment to ask any outstanding questions live.

DevNation Tech Talk: Getting GitOps

Red Hat Developers

Modern cloud-native applications are incredibly complex systems. Keeping the systems healthy and meeting SLAs for our customers is crucial for long-term success. In this session, we will dive into the three pillars of observability - metrics, logs, tracing - the foundation of successful troubleshooting in distributed systems. You'll learn the gotchas and pitfalls of rolling out the OpenTelemetry stack on Kubernetes to effectively collect all your signals without worrying about a vendor lock in. Additionally we will replace parts of the Prometheus stack to scrape metrics with OpenTelemetry collector and operator.

Exploring the power of OpenTelemetry on Kubernetes

Red Hat Developers

GitHub plays a key role in the everyday work of thousands of developers and is a central piece of the open-source software ecosystem. Even though it is getting better and better every day, it still misses some key features that we need. If you want a better way of reviewing PRs, navigating through the code or better yet - writing the code without leaving the browser - this talk is for you! This talk will be demo driven, and as the title suggests, we will start with the aesthetic revamp. But we definitely won’t stop there! You will also learn a few cool things about interacting with GitHub through the command line. So not only your UI will be officially revamped, but you will also gain a productivity boost.

GitHub Makeover | DevNation Tech Talk

Red Hat Developers

Quinoa: A modern Quarkus UI with no hassles | DevNation tech Talk

Red Hat Developers

How do you know you have improved the performance of your portfolio of applications? By measuring it, of course! The ultimate goal of gathering application metrics is to have a standardized practice that is applicable across multiple microservices and that adds minimal runtime overhead. Join this session to discuss what metrics are available out of the box with the Quarkus micrometer extensions, what (and, more importantly, why) you should customize, and how those pieces of information will impact your development outcomes.

Extra micrometer practices with Quarkus | DevNation Tech Talk

Red Hat Developers

This talk will teach you how to redesign an event-driven autoscaling architecture for cloud-native microservices by utilizing Apache Kafka, Knative, and KEDA infrastructure. You will also learn how to deploy serverless applications (Quarkus) using a Knative service. Finally, KEDA will enable you to autoscale Knative Eventing components (KafkaSource) through events consumption over standard resources (CPU, memory).

Event-driven autoscaling through KEDA and Knative Integration | DevNation Tec...

Red Hat Developers

Loom is among the most highly anticipated projects in the Java world. It promises to address concurrency and Java execution model issues by providing virtual threads. Thus, there is no need to write concurrent programs using asynchronous or reactive APIs; it will be possible to use the traditional imperative model and let Loom handle the rest. The JVM will execute the program and leverage non-blocking APIs automatically! Sounds good, doesn't it? How does it work, though? Are there any hidden costs? What is Loom going to change in modern Java frameworks? We will answer these questions in this talk. Starting with the integration of Loom in Quarkus, we will compare the different approaches we considered, discuss their respective pros and cons, and show how Loom might change the Java world.

Integrating Loom in Quarkus | DevNation Tech Talk

Red Hat Developers

Quarkus Renarde 🦊♥ is a new Web framework based on Quarkus. This framework focuses not on microservices but web applications and makes Quarkus even easier to use for web apps: - Endpoints based on convention, even easier than RESTEasy Reactive and JAX-RS - Server-side templating with Qute - Validation with Hibernate Validation - Data with Hibernate ORM or Reactive with Panache - Simple authentication with OpenID Connect or WebAuthn Quarkus Renarde 🦊♥ can deliver all this while still providing the joy of developing with Quarkus, with live reload, continuous testing, the Dev, and more.

Quarkus Renarde 🦊♥: an old-school Web framework with today's touch | DevNatio...

Red Hat Developers

Recent changes in one desktop product generated many doubts in developer communities regarding containers. Can we still use or create them? Do we have alternatives to docker? We have some answers! Join us in this session to learn more about some popular docker alternatives. You can create containers without docker, and you can also run and publish them. There's life after docker, and containers are here to stay.

Containers without docker | DevNation Tech Talk

Red Hat Developers

Hybrid-cloud and multi-cloud patterns are the next application deployment architectures, and Kubernetes is the de facto container orchestration engine. 50% of production Kubernetes workloads involve some form of microservices applications. How can we manage this inter-cluster application connectivity? Meet Skupper: an open-source project that solves multi-cloud communication for Kubernetes. In this Tech Talk, you will briefly learn about Skupper and watch a live demo of an e-commerce application with 10 microservices spanning three OpenShift clusters running on three different public cloud providers.

Distributed deployment of microservices across multiple OpenShift clusters | ...

Red Hat Developers

In this workshop, you’ll learn an easy way to incorporate data science and AI/ML into an OpenShift development workflow. As an example, you’ll use an object detection model to detect ‘dog(s)’ in an image. You will: Use Jupyter Notebooks and TensorFlow to explore a pre-trained object detection model Serve the model in a REST API as a Flask App Use Source-to-Image (S2I) to build and deploy the Flask app Explore Kafka streams from Notebooks Deploy a Kafka consumer with the same object detection model You’ll be able to do all of this without having to install anything on your own computer, thanks to Red Hat OpenShift Data Science and Red Hat OpenShift Streams for Apache Kafka. Note: Beginner data handling and Python skills are required for this workshop.

DevNation Workshop: Object detection with Red Hat OpenShift Data Science [Mar...

Red Hat Developers

DevOps solved the conflict between development and operations, but other essential aspects of the delivery lifecycle—security, compliance, and audit—were left out. DevSecOps is an excellent reminder that security must be DevOps’d, but compliance and audit are still missing. There’s no need for a new DevSecAuditComplianceOps buzzword; instead, let’s talk about continuous authorization, which applies Zero Trust principles to continuous monitoring. In this tech talk, Bill Bensing will discuss practical ways to start with continuous authorization for the software delivery lifecycle using Ploigos.

Dear security, compliance, and auditing: We’re sorry. Love, DevOps | DevNatio...

Red Hat Developers

11 CLI tools every developer should know | DevNation Tech Talk

Red Hat Developers

We will dissect the world famous todo app that provides a REST API (which is the foundation of microservices) with data backed by Apache Cassandra. We will leverage the TODO MVC and the TODO backend projects with the back end that we will build with Quarkus and Cassandra. Attendees will get an overview of Cassandra, including the driver for Quarkus. Through live coding (that attendees can try out later) in a cloud-based environment, primarily in Quarkus and Cassandra, attendees will understand how to implement and connect the APIs to the backend and leverage the generic client(s)provided. After attending this session attendees will walk away with a good understanding of implementing microservices using Cassandra and Quarkus. They will also get a working knowledge of how Astra (Cassandra as a service) can be leveraged in other solutions.

A Microservices approach with Cassandra and Quarkus | DevNation Tech Talk

Red Hat Developers

Every software developer wants more productivity. What if the only commands you needed to deploy were "git commit" and "git push"? Join us as we walk you through a live demonstration of how you can ship your lovely application code from your local machine to a free OpenShift cluster, fully automated through GitHub Actions. By the end of this session, you'll have a sound understanding of building a GitHub Action workflow for your codebase that leverages OpenShift to deploy your application.

GitHub Actions and OpenShift: Supercharging your software development loops...

Red Hat Developers

Since moving to a 6 monthly release cadence, the Java platform is evolving more dynamically than ever before. It can be quite a challenge to stay on top of all the changes and new features. In this talk we're going to explore the most important developments in the Java API: which classes have been added, and what has been removed? Join Duke, the Java mascot, for a trip to space and learn which exciting new APIs provided by the Java platform can help him with his journey: The Java Vector API for utilizing the SIMD capabilities of modern CPU architectures The Foreign Linker API for integrating with native code The JFR Event Streaming API for publishing JDK Flight Recorder Events We'll also take a look at some useful changes to the Java runtime, such as CDS archives for a faster spaceship..., uhm, application launch!

To the moon and beyond with Java 17 APIs! | DevNation Tech Talk

Red Hat Developers

Profile your Java apps in production on Red Hat OpenShift with Cryostat | Dev...

Red Hat Developers

Apache Kafka is taking the world by storm and is rapidly becoming the de-facto event bus for event-driven and streaming applications that respond to events and data in real time. OpenShift Streams for Apache Kafka is Red Hat's fully hosted and managed Apache Kafka service targeting development teams that want to incorporate streaming data and scalable messaging in their applications, without the burden of setting up and maintaining a Kafka cluster infrastructure. In this session you will discover how Apache Kafka can be used in an IoT scenario to ingest data from devices and make them available in real-time to other applications. More specifically you will learn how to: Simulate devices that send MQTT messages to a MQTT broker Use Apache Camel and Camel-K to bridge MQTT with Apache Kafka Use Kafka Streams in a Quarkus application to process the device messages Query the state of the devices using GraphQ

Kafka at the Edge: an IoT scenario with OpenShift Streams for Apache Kafka | ...

Red Hat Developers

With Kubernetes, implementing security policies can be challenging. First, developers, administrators, and security teams need to understand security policies in collaboration to have the best chance of successful adoption. Next, policy enforcement needs to integrate with developer workflows. Lastly, policies need to contain corrective action that is as close to the developer as possible. KubeLinter solves these problems by linting Kubernetes YAML files and Helm charts at the source: the developer. In this session, we will evaluate KubeLinter by moving through a hands-on demo of the application, showing a use case for local machines and CI pipeline integration, and chatting about how best to integrate it into your organization: KubeLinter, and its default checks How you can leverage the application in your day-to-day operations The open source StackRox community

Kubernetes configuration and security policies with KubeLinter | DevNation Te...

Red Hat Developers

Many modern video games are constantly evolving post-release. New maps, game modes, and game balancing adjustments are rolled out, often on a weekly basis. This continuous iteration to improve player engagement and satisfaction requires data-driven decision making based on events and telemetry captured during gameplay, and from community forums and discussions. In this session you will learn how OpenShift Streams for Apache Kafka and Kafka Streams can be used to analyze real-time events and telemetry reported by a game server, using a practical example that encourages audience participation. Specifically you’ll learn how to: Provision Kafka clusters on OpenShift Streams for Apache Kafka. Develop a Java application that uses Kafka Streams and Quarkus to process event data. Deploy the application locally, or on OpenShift and connect it to your OpenShift Streams for Apache Kafka Cluster.

Level-up your gaming telemetry using Kafka Streams | DevNation Tech Talk

Red Hat Developers

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