Business Software for Red Hat Runtimes

Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.

The Java™, Programming Language is a general purpose, concurrent, strongly typed and class-based object-oriented programming language. It is usually compiled according to the Java Virtual Machine Specification's bytecode instruction set. All source code in the Java programming language is first written in plain text files that end with the.java extension. The javac compiler compiles these source files into.class files. A.class file doesn't contain native code for your processor. Instead, it contains bytecodes (the machine language of the Java Virtual Machine1 [Java VM]). The java launcher tool will then run your application with an instance Java Virtual Machine.

The JCov open source project is used for gathering quality metrics related to the production of test suites. JCov will be open to allow the verification of regression tests being executed in OpenJDK. JCov's main purpose is transparency in test coverage metrics. OpenJDK developers will have the opportunity to use a code-coverage tool that is in 'lock step with Java language and VM development. This is why we promote standard coverage based JCov. JCov, a Java implementation of a code-coverage tool, provides a way to measure and analyze dynamic Java program code coverage. JCov allows you to see uncovered execution paths and method coverage. It can also show the source code of a program annotated with coverage information. JCov is most useful for testing to determine execution paths.

95% of website visitors won't convert. Reactive makes it easy for you to convert visitors to customers on your ecommerce store via live streaming shopping events.

You can handle more requests with less resources than traditional stacks or frameworks that rely on blocking I/O. Vert.x works well in all types of execution environments, even constrained ones like containers and virtual machines. People have told you that asynchronous programming is too difficult. Vert.x programming is easy to use, and we don't believe in sacrificing accuracy or performance. You can save money and reduce waste by not wasting resources. Pick the model that best suits your task, including callbacks, promises and futures, reactive extensions, and (Kotlin), coroutines. Vert.x is not a framework but a toolkit. It is easily reusable and embeddable. We don't have a strong opinion about how your application structure should look. As you create your application, choose the modules and clients that you require and then compose them.

Native Image allows you to discover libraries and frameworks that work right out of the box. Native Image is an advanced optimizing compiler that generates faster, leaner code and uses fewer computing resources. To ensure Java applications run instantly and provide peak performance, you can compile Java applications in advance. You can leverage the best features and libraries from popular languages in one app. Monitor, profile, and optimize Java and other languages' resource consumption. GraalVM's JIT compiler produces optimized native code that runs faster and produces less garbage. It uses less CPU due to a variety of compiler optimizations and aggressive inlining techniques. Applications that run faster and use fewer resources will be the end result, which can reduce cloud and infrastructure costs.

Node.js is an asynchronous JavaScript runtime that drives JavaScript calls. It's designed to create scalable network applications. Node.js will go to sleep if there isn't any work being done. This is in contrast with the more common concurrency model today, where OS threads are used. Thread-based networking is slow and difficult to use. Node.js users are not at risk of deadlocking the process because there are no locks. Nearly every function in Node.js performs I/O. The process never blocks unless the I/O is performed using synchronous Node.js methods standard library. Scalable systems are easy to create in Node.js because nothing blocks. Node.js is inspired by and similar to Ruby's Event Machine, and Python's Twisted. Node.js extends the event model a little further. It presents an event loop instead of a library as a runtime construct.

JavaScript is a web scripting language and programming language that allows developers to create dynamic elements on the internet. Client-side JavaScript is used by over 97% of all websites. JavaScript is the most popular scripting language on the internet.

Spring Boot makes it easy for you to create standalone, production-grade Spring-based Applications that can be "just run". We offer an opinionated view on the Spring platform and third party libraries to help you get started quickly. Spring Boot applications require minimal configuration. Production-ready features like metrics, health checks and externalized configuration are required. To simplify your build configuration, provide opinionated'starter" dependencies. When possible, automatically configure Spring and third-party libraries.

Red Hat®, Data Grid is a distributed, in-memory NoSQL datastore. Your applications can access, process and analyze data at high speed to provide a superior user experience. High performance, elastic scaling, always available You can quickly access your data using low latency data processing with memory (RAM), and distributed parallel execution. Linear scaling is possible with data partitioning and distributed across cluster nodes. Data replication across cluster nodes ensures high availability. Cross-datacenter geo-replication, clustering and fault tolerance allow you to be resilient and recover from disasters. A flexible, functionally rich NoSQL database store allows you to develop more efficiently and increase productivity. You can achieve complete data security through encryption and role-based access. Data Grid 7.3.10 offers a security enhancement to fix a CVE. Data Grid 7.3.10 must be upgraded as soon as possible.

Apache Tomcat®, an open-source implementation of the Jakarta Servlet and Jakarta Server Pages, Jakarta Expression Languages, Jakarta WebSocket, Jakarta Annotations, Jakarta Authentication specifications, and Jakarta Server Pages is available as an open-source software. These specifications are part the Jakarta EE platform. Apache Tomcat software powers many large-scale, mission critical web applications across a wide range of industries and organisations. Some of these users are listed and their stories can be found on the PoweredBy wiki page. Apache Tomcat Project is proud announce version 10.0.10 of Apache Tomcat. This release implements specifications from the Jakarta EE 9 platform.

Quarkus will tailor your application for GraalVM or HotSpot. Amazingly fast boot time and extremely low RSS memory (not just heap sizes!) It allows for near-instant scale-up and high-density memory usage in container orchestration platforms such as Kubernetes. We use a technique we call compile time boot. Quarkus is a full-stack framework that is cohesive, fun to use, and makes use of a growing number of best-of-breed library libraries. Unified configuration and native executable generation are the key to optimizing developer joy. Zero configurations, live reload within a blink of an eye, and simplified code for the 80% most common uses, while remaining flexible for the 20% remainder. Combining Quarkus with Kubernetes creates an ideal environment to create lightweight, scalable applications. Quarkus significantly improves developer productivity through tooling, prebuilt integrations, and application services.

Red Hat®, Integration is a set of messaging and integration technologies that connects applications and data on hybrid infrastructures. It is an API-centric, agile, containerized and distributed solution. It offers service composition and orchestration as well as application connectivity and data transform, real-time messaging, change data capture and API management. All of this is combined with a cloud native platform and toolchain that supports the full spectrum for modern application development. Deploy enterprise-integration patterns (EIPs), based on 200+ pluggable connecters, to connect new and old data across hybrid cloud. Create, deploy and monitor APIs through their entire lifecycle. By focusing on APIs, you can extend your integrations to hybrid and multi-cloud environments. Develop and manage container services, and package and deploy lightweight containers.