Red Hat Runtimes Integrations

Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

The JCov open-source project is used to gather quality metrics associated with the production of test suites. JCov is being opened in order to facilitate the practice of verifying test execution of regression tests in OpenJDK development. The main motivation behind JCov is the transparency of test coverage metrics. The advantage to promoting standard coverage based on JCov is that OpenJDK developers will be able to use a code coverage tool that stays in the 'lock step' with Java language and VM developments. JCov is a pure java implementation of a code coverage tool that provides a means to measure and analyze dynamic code coverage of Java programs. JCov provides functionality to collect method, linear block, and branch coverage, as well as show uncovered execution paths. It is also able to show a program's source code annotated with coverage information. From a testing perspective, JCov is most useful to determine execution paths.

95% of your website visitors won't convert. Reactive makes it easy to turn visitors into customers on your ecommerce store through live streamed shopping events.

Han­dle more re­quests with fewer re­sources com­pared to tra­di­tional stacks and frame­works based on block­ing I/O. Vert.x is a great fit for all kinds of ex­e­cu­tion en­vi­ron­ments, in­clud­ing con­strained en­vi­ron­ments like vir­tual ma­chines and con­tain­ers. Peo­ple told you asyn­chro­nous pro­gram­ming is too hard for you? We strive to make pro­gram­ming with Vert.x an ap­proach­able ex­pe­ri­ence, with­out sac­ri­fy­ing cor­rect­ness and per­for­mance. Don’t waste re­sources, in­crease de­ploy­ment den­sity and save money. You pick the model that works best for the task at hand, call­backs, promises, fu­tures, re­ac­tive ex­ten­sions, and (Kotlin) corou­tines. Vert.x is a toolkit, not a frame­work, so it is nat­u­rally very com­pos­able and em­bed­d­a­ble. We have no strong opin­ion on what your ap­pli­ca­tion struc­ture should be like. Se­lect the mod­ules and clients you need and com­pose them as you craft your ap­pli­ca­tion.

Discover libraries and frameworks that work out-of-the-box with Native Image. Apply Graal, an advanced optimizing compiler, that generates faster and leaner code requiring fewer compute resources. Compile Java applications ahead of time to native binaries that start up instantly and deliver peak performance with no warmup time. Leverage the best features and libraries of popular languages in a single app with no overhead. Debug, monitor, profile, and optimize resource consumption in Java and across multiple languages. GraalVM’s high-performance JIT compiler generates optimized native machine code that runs faster, produces less garbage, and uses less CPU thanks to a battery of advanced compiler optimizations and aggressive and sophisticated inlining techniques. The end results are applications that run faster and consume fewer resources, reducing cloud and infrastructure costs.

As an asynchronous event-driven JavaScript runtime, Node.js is designed to build scalable network applications. Upon each connection, the callback is fired, but if there is no work to be done, Node.js will sleep. This is in contrast to today's more common concurrency model, in which OS threads are employed. Thread-based networking is relatively inefficient and very difficult to use. Furthermore, users of Node.js are free from worries of dead-locking the process, since there are no locks. Almost no function in Node.js directly performs I/O, so the process never blocks except when the I/O is performed using synchronous methods of Node.js standard library. Because nothing blocks, scalable systems are very reasonable to develop in Node.js. Node.js is similar in design to, and influenced by, systems like Ruby's Event Machine and Python's Twisted. Node.js takes the event model a bit further. It presents an event loop as a runtime construct instead of as a library.

JavaScript is a scripting language and programming language for the web that enables developers to build dynamic elements on the web. Over 97% of the websites in the world use client-side JavaScript. JavaScript is one of the most important scripting languages on the web. Strings in JavaScript are contained within a pair of either single quotation marks '' or double quotation marks "". Both quotes represent Strings but be sure to choose one and STICK WITH IT. If you start with a single quote, you need to end with a single quote. There are pros and cons to using both IE single quotes tend to make it easier to write HTML within Javascript as you don’t have to escape the line with a double quote. Let’s say you’re trying to use quotation marks inside a string. You’ll need to use opposite quotation marks inside and outside of JavaScript single or double quotes.

Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need minimal Spring configuration. Provide production-ready features such as metrics, health checks, and externalized configuration. Provide opinionated 'starter' dependencies to simplify your build configuration. Automatically configure Spring and 3rd party libraries whenever possible.

Red Hat® Data Grid is an in-memory, distributed, NoSQL datastore solution. Your applications can access, process, and analyze data at in-memory speed to deliver a superior user experience. High performance, elastic scalability, always available. Quickly access your data through fast, low-latency data processing using memory (RAM) and distributed parallel execution. Achieve linear scalability with data partitioning and distribution across cluster nodes. Gain high availability through data replication across cluster nodes. Attain fault tolerance and recover from disaster through cross-datacenter geo-replication and clustering. Gain development flexibly and greater productivity with a highly versatile, functionally rich NoSQL data store. Obtain comprehensive data security with encryption and role-based access. Data Grid 7.3.10 provides a security enhancement to address a CVE. You must upgrade any Data Grid 7.3 deployments to version 7.3.10 as soon as possible.

The Apache Tomcat® software is an open source implementation of the Jakarta Servlet, Jakarta Server Pages, Jakarta Expression Language, Jakarta WebSocket, Jakarta Annotations and Jakarta Authentication specifications. These specifications are part of the Jakarta EE platform. Apache Tomcat software powers numerous large-scale, mission-critical web applications across a diverse range of industries and organizations. Some of these users and their stories are listed on the PoweredBy wiki page. The Apache Tomcat Project is proud to announce the release of version 10.0.10 of Apache Tomcat. This release implements specifications that are part of the Jakarta EE 9 platform.

Quarkus tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near-instant scale up and high-density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot. Quarkus provides a cohesive, fun-to-use, full-stack framework by leveraging a growing list of over fifty best-of-breed libraries that you love and use. A cohesive platform for optimized developer joy with unified configuration and no hassle native executable generation. Zero configs, live reload in the blink of an eye, and streamlined code for the 80% common usages, flexible for the remainder 20%. The combination of Quarkus and Kubernetes provides an ideal environment for creating scalable, fast, and lightweight applications. Quarkus significantly increases developer productivity with tooling, pre-built integrations, application services, and more.

Red Hat® Integration is a comprehensive set of integration and messaging technologies to connect applications and data across hybrid infrastructures. It is an agile, distributed, containerized, and API-centric solution. It provides service composition and orchestration, application connectivity and data transformation, real-time message streaming, change data capture, and API management, all combined with a cloud-native platform and toolchain to support the full spectrum of modern application development. Deploy enterprise integration patterns (EIPs) based integrations using 200+ pluggable connectors to connect new and existing data across the hybrid cloud. Create, deploy, monitor, and control APIs throughout their entire lifecycle. With an API-first approach, extend your integrations across hybrid and multi-cloud environments. Develop and manage services in popular container standards, as well as package and deploy lightweight containers in distributed environments.