Alternatives to ESF Edge Computing Platform

The Everyware Software Framework (ESF), offered by Eurotech, is a robust IoT solution designed for enterprise environments. Built on Eclipse Kura, this open-source Java/OSGi middleware tailored for IoT gateways enhances the platform with features like provisioning, top-tier security, remote access, and diagnostic monitoring capabilities. It provides support for various field protocols such as Modbus, OPC-UA, S7, FANUC, J1939, J1979, BACnet, and IEC standards, alongside MQTT connectivity, allowing users to efficiently gather data from the field, process it at the edge, and send it to cloud-based IoT platforms. The integration with Everyware Cloud facilitates comprehensive remote device management, ensuring seamless operation of IoT edge computing applications. Users can effortlessly connect to IoT devices and cloud services utilizing industrial protocols, while also visually designing data flows to effectively manage, analyze, and route information. This powerful framework enables organizations to streamline their IoT initiatives and enhance operational efficiency.

Everyware Cloud (EC) is an Internet of Things (IoT) integration platform developed and maintained by Eurotech. Built on the foundation of Eclipse Kapua, Everyware Cloud features a flexible and open IoT cloud platform that utilizes a microservices architecture. It facilitates comprehensive device management, diagnostics, provisioning, remote access to IoT gateways and devices, as well as integration services for telemetry data. By enabling remote access, users can conduct maintenance and troubleshoot issues without the need for physical visits to the installation site. You can rely on your remote devices thanks to the robust enterprise-level security measures embedded within the Everyware Cloud IoT Platform. Additionally, the platform helps lower integration costs through the use of standard-based interfaces. Device connectivity is supported by the ISO-certified MQTT protocol and employs an open, language-independent data payload format. This ensures seamless communication and data exchange across diverse devices and applications. Overall, Everyware Cloud stands out as a comprehensive solution for managing IoT ecosystems efficiently and securely.

The Eclipse Web Tools Platform (WTP) enhances the Eclipse environment with a suite of tools aimed at facilitating the development of Web and Java EE applications. This comprehensive platform features both source and graphical editors for a range of programming languages, along with wizards and built-in applications designed to streamline the development process while also offering tools and APIs for deploying, running, and testing applications. Additionally, the Libra project seamlessly merges the functionalities of the Plug-in Development Environment project with the Web Tools Platform project, creating a cohesive framework for OSGi Enterprise implementations. Meanwhile, the JavaScript Development Tools introduce plug-ins that establish an integrated development environment for JavaScript applications and their incorporation within web projects. This suite enriches the Eclipse Workbench by adding a dedicated JavaScript project type and perspective, complemented by various views, editors, wizards, and builders to enhance the development experience further. Together, these tools contribute significantly to making Eclipse a robust platform for modern web development.

Eclipse Kura™ is a flexible and open-source framework designed for IoT Edge applications, built on Java/OSGi. It provides developers with API access to various hardware interfaces found in IoT gateways, such as serial ports, GPS, watchdog timers, GPIOs, and I2C. Among its features, Kura includes pre-configured field protocols like Modbus, OPC-UA, and S7, an application container, and a web-based visual programming tool that facilitates data acquisition from the field, edge processing, and efficient publishing to prominent IoT cloud platforms via MQTT. The rise of an IoT service gateway model utilizing contemporary software architectures at the edge of IoT implementations acts as a unifying controller and aggregator, enabling the integration of advanced enterprise technologies into IoT gateways. By utilizing sophisticated software frameworks that simplify the complexities of hardware and networking, the development and reusability of combined hardware and software solutions are significantly transformed, fostering innovation and efficiency in IoT projects. This shift empowers developers to focus more on application logic rather than underlying technical challenges.

Begin developing your inaugural Eclipse ioFogTM application today. Eclipse ioFog is completely free and open source, and it will remain so indefinitely. By installing Eclipse ioFogTM on any device with a minimal processing capacity, you establish a distributed Edge Compute Network (ECN), which allows for the dynamic, secure, and remote execution of any microservice. It operates on each of your edge devices, creating a robust platform for microservices. The system grants you remote oversight of these microservices and facilitates communication between them across intricate networks. Envision a scenario where you can select self-sufficient code segments (known as microservices) and deploy them anywhere at the simple push of a button. Picture having the ability to remotely manage code that operates on dozens of iPhones in employees' pockets, numerous servers within a factory, and various computers situated in delivery trucks—all utilizing the same technological framework. With such capabilities, the possibilities for innovation and operational efficiency are boundless.

Jetty serves as both a web server and a servlet container, offering capabilities for HTTP/2, WebSocket, OSGi, JMX, JNDI, JAAS, among other integrations. These elements are open source, allowing for free commercial use and distribution. Jetty finds application in a diverse range of projects and products across development and production environments. Developers have preferred Jetty for years due to its strong history of easy embedding in devices, tools, frameworks, application servers, and contemporary cloud services. It is a robust, standards-compliant framework that is open source and usable commercially, featuring flexibility, extensibility, a small footprint, and support for asynchronous operations, all while being enterprise scalable and dual-licensed under both Apache and Eclipse. It is utilized in large-scale clusters like Facebook Presto and in cloud computing platforms such as Google AppEngine. As Java and the JakartaEE project (previously JavaEE) evolved in 2020, the current recommended Jetty version hinges on factors such as the servlet API version and licensing preferences. Jetty continues to adapt, ensuring it meets the evolving needs of modern software development.

Embiot®, a compact, high-performance IoT analytics software agent that can be used for smart sensor and IoT gateway applications, is available. This edge computing application can be integrated directly into devices, smart sensor and gateways but is powerful enough to calculate complex analytics using large amounts of raw data at high speeds. Embiot internally uses a stream processing model in order to process sensor data that arrives at different times and in different order. It is easy to use with its intuitive configuration language, rich in math, stats, and AI functions. This makes it quick and easy to solve any analytics problems. Embiot supports many input methods, including MODBUS and MQTT, REST/XML and REST/JSON. Name/Value, CSV, and REST/XML are all supported. Embiot can send output reports to multiple destinations simultaneously in REST, custom text and MQTT formats. Embiot supports TLS on select input streams, HTTP, and MQTT authentication for security.

Eclipse IDE stands as the premier open platform tailored for professional developers engaged in computer programming, and it has never been better. This IDE provides essential tools to drive rapid innovation with a simplified configuration process, including the Eclipse IDE Installer 2020-09, which now incorporates a Java Runtime Environment (JRE) in several of its packages. The enhancements also extend to theming and styling, featuring an improved dark theme for Windows and a refined light theme for GTK. Additionally, Eclipse IDE has transitioned to require Java 11 as its minimum operating version while maintaining the ability to compile older versions as desired. Among its new experimental features is support for aarch64, along with robust Linux support that has been integrated into this version. Furthermore, Node.js is now embedded within all LSP-based tools, facilitating seamless functionality from the start. Eclipse IDE remains free and open source, distributed under the Eclipse Public License 2.0, underscoring its commitment to community-driven development. The platform thrives on an extensive ecosystem of plugins, bolstered by an active and engaged community of contributors. This collaborative environment ensures that Eclipse IDE continues to evolve and meet the diverse needs of developers worldwide.

DL4J leverages state-of-the-art distributed computing frameworks like Apache Spark and Hadoop to enhance the speed of training processes. When utilized with multiple GPUs, its performance matches that of Caffe. Fully open-source under the Apache 2.0 license, the libraries are actively maintained by both the developer community and the Konduit team. Deeplearning4j, which is developed in Java, is compatible with any language that runs on the JVM, including Scala, Clojure, and Kotlin. The core computations are executed using C, C++, and CUDA, while Keras is designated as the Python API. Eclipse Deeplearning4j stands out as the pioneering commercial-grade, open-source, distributed deep-learning library tailored for Java and Scala applications. By integrating with Hadoop and Apache Spark, DL4J effectively introduces artificial intelligence capabilities to business settings, enabling operations on distributed CPUs and GPUs. Training a deep-learning network involves tuning numerous parameters, and we have made efforts to clarify these settings, allowing Deeplearning4j to function as a versatile DIY resource for developers using Java, Scala, Clojure, and Kotlin. With its robust framework, DL4J not only simplifies the deep learning process but also fosters innovation in machine learning across various industries.

EPIC iO unites software-driven offerings to deliver reliable connectivity solutions, enhance the value derived from AI and IoT investments, and achieve better business results. The technology that EPIC iO provides is centered around software, utilizing AIoT solutions to empower organizations to become more secure, intelligent, and interconnected. By harnessing our open AI platform, DeepInsights™, both public sector entities and private companies can efficiently extract, generate, and analyze IoT data in a smart manner. This real-time information translates into valuable, actionable insights, all accessible through a cohesive, integrated platform. We simplify IoT connectivity network solutions by linking various IoT elements such as video feeds, sensors, routers, and gateways. Our expertise spans a wide range of applications, from remote oil and gas operations to agricultural sites, urban environments, manufacturing sectors, education, and mobile enterprises, effectively addressing one of IoT's most significant hurdles—achieving consistent bandwidth across diverse locations. In doing so, we enable businesses to fully capitalize on their IoT investments and drive innovation across their operations.

MyEclipse stands out as the premier Java IDE tailored for enterprise-level development, offering seamless access to a wide array of popular technologies within a single package. It supports everything from Java EE to Maven, as well as Spring and WebSphere, significantly boosting productivity and enabling developers to produce their best work. With enhanced tools at their disposal, crafting a dynamic frontend alongside a robust backend becomes an effortless task, establishing a recipe for success. Java developers must juggle numerous responsibilities beyond just writing excellent code, including staying updated with the latest Java versions and web frameworks, managing version control, and deploying applications across different servers. MyEclipse streamlines this process by consolidating all essential development tools into one convenient download, allowing developers to concentrate on what they do best—coding. Trusted by over 17,000 companies for more than two decades, MyEclipse is built on the same feature-rich Eclipse IDE developers have relied upon for creating powerful applications. This platform was initially developed by a team of programmers who identified a pressing need for improved software development resources. As a result, MyEclipse has continually evolved to meet the changing demands of the industry, ensuring that developers are equipped with the latest advancements in technology.

Apache Geronimo is a collection of open-source initiatives aimed at delivering JavaEE/JakartaEE libraries along with Microprofile implementations. Our focus is on creating reusable Java EE components that are both widely utilized and actively maintained. The project supplies libraries that align with the specifications of Java EE and Jakarta EE, while also emphasizing the provision of OSGi bundle metadata. A key objective of the XBean project is to develop a server that operates in a plugin-based manner, similar to how Eclipse functions as a plugin-centric IDE. XBean will have the capability to identify, download, and install server plugins from a repository available on the Internet. Furthermore, it encompasses support for various IoC systems, the option to run without an IoC system, JMX functionality without the need for JMX code, lifecycle and class loader management, and robust integration with Spring. In addition to these features, Apache Geronimo also supports several Microprofile implementations. Moreover, the Apache Geronimo Arthur initiative aims to create a lightweight layer that operates on top of Oracle GraalVM, enhancing the project's versatility and performance. This makes Apache Geronimo a valuable resource for developers seeking comprehensive solutions in the Java ecosystem.

Industry 4.0, along with concepts like Smart Agriculture, Smart Cities, Smart Homes, and Smart Healthcare, has ushered in a wave of interconnected technologies - Smart Everything! At the forefront of this evolution is Iotsnap, an open-source IoT platform designed to be versatile across various contexts. Regardless of the differing environments, Iotsnap addresses the universal requirements of IoT projects, such as real-time data processing, historical data analysis, automation, and the integration of artificial intelligence. With its open-source and cloud-ready framework, the Iotsnap platform combines a suite of top-tier "Enterprise Grade" technologies and operates within a container-based cloud system, ensuring both scalability and reliability. More than just a mere platform, Iotsnap represents a comprehensive ecosystem tailored to the needs of modern technology. Developed by Extra Red, Iotsnap collaborates with experienced partners who specialize in chatbot development, augmented reality, sensor technology, and IoT gateways. The architectural framework of Iotsnap was established to cater to diverse needs in the IoT landscape; however, we will focus on its design by examining its application within the manufacturing industry. This targeted exploration allows us to understand how Iotsnap can revolutionize operations and efficiency in a critical sector.

SeeControl serves as a cloud-based IoT platform that empowers businesses to collect, visualize, and analyze real-time data from multiple IoT devices without the need for programming expertise. The platform provides a wide range of functionalities, including data gathering, device oversight, analytical tools, connectivity options, reporting features, and management of configurations. By linking devices through IoT gateways, it supports the creation of comprehensive IoT solutions that enable real-time asset monitoring and advanced analytics, including machine learning, to yield practical business insights. The technology framework of SeeControl covers all four essential layers of the IoT ecosystem: devices, connectivity, core IoT capabilities, and applications along with analytics. This cohesive strategy streamlines the implementation of IoT initiatives across diverse sectors and benefits a variety of clients, such as ABB, HP, and Fujitsu, highlighting its versatility and effectiveness in addressing industry-specific challenges. As organizations increasingly seek to leverage IoT technology, SeeControl stands out as a vital partner for driving innovation and efficiency.

An entirely managed cloud-based solution that facilitates device registration, connectivity, control, quick visualization, and data storage. By integrating chip, app, and cloud technologies, users can fully leverage Watson's cognitive APIs, feature-rich dashboards, extensive developer tools, and top-tier security measures to enhance insights in enterprise IoT. This service provides predictive, real-time, and edge analysis of user, machine, and environmental data, utilizing machine learning and cognitive APIs. It enables governance over applications and devices within an IoT framework, monitoring usage and performance trends, detecting anomalies, and validating data and transactions. The platform connects IoT devices, networks, and gateways through an expanding ecosystem that employs open standards-based communications such as MQTT and HTTPS. Furthermore, it allows for the identification, aggregation, and transformation of data from various IoT sources into structured asset-based data. Users can harness their IoT data to gain insights into current conditions and trends, analyze unstructured data from videos and images, and extract valuable information from unstructured textual data. Ultimately, this service empowers organizations to make informed decisions based on comprehensive data analysis and visualization.

IBM® CICS® Transaction Server for z/OS® has transformed into a versatile mixed-language application server that empowers developers to create and enhance applications using the programming languages and tools that align with both their expertise and business requirements. It supports a variety of languages and frameworks, including Java®-based OSGi, Springboot®, Jakarta® EE, Eclipse® MicroProfile, and a Node.js® runtime for JavaScript and TypeScript, alongside traditional languages like COBOL, C/C++, and PL/I. This capability allows CICS to effectively manage applications, catering to high-volume transaction environments with security, reliability, and cost-effectiveness. Developers can either craft new applications or build upon existing, mission-critical services by integrating new interfaces. With an array of programming languages at your disposal, your creativity can truly flourish. The development process in CICS Transaction Server mirrors that of other applications, enhanced by plug-ins for popular tools such as Maven®, Gradle®, Zowe®, and UrbanCode Deploy®, making it easy for developers to adapt and thrive in this dynamic environment. By leveraging these modern capabilities, organizations can stay competitive and responsive to evolving market demands.

Eclipse Papyrus offers extensive customization options for various components, including UML profiles, model explorers, diagram styles, property views, palettes, and creation menus, allowing it to cater to any specific domain. This powerful tool supports model-based methodologies such as simulation, formal testing, safety analysis, performance trade-offs, and architectural exploration. As an open-source Model-Based Engineering platform of industrial quality, Eclipse Papyrus has been successfully implemented in numerous industrial projects and serves as the foundational platform for a range of industrial modeling tools. Additionally, it provides robust support for SysML, facilitating model-based system engineering processes. The design of Eclipse Papyrus's modeling features emphasizes customization and aims to enhance the potential for reuse across different projects and applications. By integrating these capabilities, Eclipse Papyrus stands out as a versatile solution for engineers and developers alike, streamlining their modeling efforts while ensuring flexibility and efficiency.

A Cloud POS Software specifically designed for various types of restaurants enhances operational efficiency, even in the most intricate food and beverage scenarios. Its versatility is demonstrated by the fact that over 350 new establishments choose it annually. Developed by Everyware, this technology swiftly analyzes your company's small data alongside global big data, including factors like weather patterns, traffic conditions, and search trends, providing valuable insights into how the broader world impacts your sales figures. Every product in our software lineup is inherently API-ready, ensuring that all new features introduced in updates are seamlessly integrated into the APIs, maximizing your ability to connect your restaurants with emerging social media and online platforms. This commitment to compatibility means that your business can adapt and thrive in a rapidly evolving digital landscape.

Zulu Embedded™, the only 100% open-source Java platform that is fully certified and customizable for embedded systems, IoT and IIoT edge devices and gateways, and dedicated applications, is available. It can be used on a variety of operating systems and devices. Zulu Embedded™, which meets all Java SE standards, requires no coding changes to the application. Use industry-standard Java tools to develop and profile. There are no licensing fees for this 100% open-source offering. Zulu Embedded support plans include redistribution-ready downloadable runtimes and access to all security updates, technical troubleshooting and a wide range of packaging options. We will work closely with you to determine the right bundle requirements, support, pricing, and pricing model to meet your needs.

Adopt DevOps tailored for enterprises by developing comprehensive toolchains that facilitate your application delivery processes. Streamline the automation of builds, tests, deployments, and other essential tasks to enhance efficiency. Utilize customizable and shareable templates to swiftly set up an integrated toolchain that incorporates tools from IBM, various third parties, and open-source options. Leverage Tekton-based delivery pipelines to automate the building and testing processes, while ensuring quality through robust analytics. By utilizing toolchains, you can achieve a cohesive suite of tools that enables the building, deploying, and managing of your applications with ease. These toolchains can incorporate IBM services, open-source resources, or third-party solutions, simplifying development and operational management. With Tekton-based delivery pipelines, you can ensure a consistent approach to building, testing, and deploying applications, significantly reducing the need for manual oversight. Being prepared to launch into production whenever necessary is crucial. Opt for the integrated web-based environment founded on Eclipse Orion, where you can create, modify, execute, debug, and manage source control tasks seamlessly, effortlessly transitioning from code editing to production deployment. This streamlined workflow allows teams to enhance their productivity and focus on delivering high-quality software.

Are you overseeing the operation or development of robotic fleets? Robot Cloud offers an ideal platform for gaining insights into device conditions while ensuring quick resolutions to potential issues. Whether you are conducting field trials for autonomous vehicles or managing a fleet of commercial transport options, MODE enables you to gather real-time sensor data from your vehicles and trips, allowing for immediate application to enhance operational efficiency. Leveraging cloud-based technology, MODE seamlessly integrates with any required sensors, ranging from Smart Home management to tracking utility expenses in manufacturing settings. With capabilities for large-scale real-world data system analysis, it provides continuous monitoring and firmware management for over 10,000 installations. Designed to reliably transmit data even in challenging network conditions, our Gateway ensures consistent data collection and analysis, available around the clock for extended periods. Furthermore, you can initiate your journey with as little as one unit for testing purposes, making it a much quicker and more cost-effective alternative compared to traditional in-house solutions, enabling businesses to innovate without significant upfront investments.

An IoT Application Enablement Platform hosted in the cloud that simplifies the process of creating and quickly launching IoT applications tailored to meet the unique needs of your clients' industries. This single cloud solution addresses all aspects of IoT requirements. Identify your needs, unleash your creativity, develop custom vertical applications, and secure larger contracts. You can create anything from straightforward dashboard applications to sophisticated enterprise-level solutions, utilizing modeling, visualization, and automation techniques. Experience swift deployment that shortens time to market, minimizes execution risks, ensures comprehensive security, is economically viable, and allows for scalability. The platform supports essential functions such as registration, provisioning, authentication, monitoring, control, troubleshooting, telemetry, and firmware updates for IoT devices and assets on a large scale while adhering to device certificates and policies. It offers seamless connectivity options for a diverse range of sensors and gateways, accommodates multiple communication protocols, and effortlessly integrates with different wired and wireless communication methods. Ultimately, this platform empowers businesses to innovate and streamline their IoT strategies effectively.

Nubix is an innovative container platform designed to simplify the development and deployment of Internet of Things (IoT) and edge applications. It is capable of operating on the smallest microprocessors, allowing developers to seamlessly process data directly on the sensor devices that generate it. Unlike traditional methods that necessitate complete firmware replacements—which can sometimes lead to devices becoming inoperable—Nubix mitigates this risk by utilizing tiny containers whose code operates independently from the underlying operating system, thereby enhancing release speed and reducing potential failures. Many existing edge architectures fail to provide true edge computing, compelling developers to send data to the cloud or intermediate gateways for processing. In contrast, Nubix's edge-native architecture empowers processing to occur directly on the devices where data originates, thus eliminating the latency and inefficiencies associated with external networking and remote data handling. Moreover, Nubix is founded on open source technologies, ensuring that users are not confined to proprietary languages and libraries, which enhances flexibility and long-term viability. This commitment to openness also fosters a community-driven approach to innovation, making it a compelling choice for developers seeking to advance their IoT initiatives.

Enlighted and its partners develop applications that significantly enhance operational efficiencies and improve the experiences of occupants, while also boosting productivity and maximizing the utilization of resources and assets. The system employs sensors capable of detecting motion, temperature, and ambient light levels. Additionally, asset tags and badges utilize Bluetooth technology to communicate with these sensors, enabling the precise tracking of both assets and individuals. Users can manually adjust lighting or rely on automated systems for room controls. This technology includes the industry's most advanced software-defined sensors, which capture and integrate various data streams. Moreover, a gateway transmits the information collected by the sensors to the energy manager for comprehensive analysis and reporting. With just a push of a button, occupants have the flexibility to modify preset lighting levels and configurations, ensuring that their comfort and preferences are prioritized. This functionality empowers users to create personalized environments that cater to their specific needs.

Implement sensors tailored for IoT applications and enhance the data collected by integrating it with environmental and control system information. This integration should occur in real-time with enterprise data, facilitating the deployment of predictive algorithms to uncover fresh insights and leverage your data for impactful purposes. Utilize advanced analytics to foresee maintenance issues, gain insights into asset usage, minimize defects, and fine-tune processes. Capitalize on the capabilities of connected devices to provide remote monitoring and diagnostic solutions. Furthermore, use IoT analytics to anticipate safety risks and ensure compliance with regulations, thereby decreasing workplace accidents. Lumada Data Integration allows for the swift creation and expansion of data pipelines, merging information from various sources, including data lakes, warehouses, and devices, while effectively managing data flows across diverse environments. By fostering ecosystems with clients and business associates in multiple sectors, we can hasten digital transformation, ultimately generating new value for society in the process. This collaborative approach not only enhances innovation but also leads to sustainable growth in an increasingly interconnected world.

Eclipse Mosquitto is a message broker that is open source and licensed under EPL/EDL, designed to support various versions of the MQTT protocol, including 5.0, 3.1.1, and 3.1. This broker is notably lightweight, making it ideal for deployment on a wide range of devices, from low-power single-board computers to robust server systems. The MQTT protocol itself offers an efficient way to handle messaging through a publish/subscribe architecture, which is particularly well-suited for applications in the Internet of Things, enabling communication with low-power sensors or mobile devices like smartphones, embedded systems, and microcontrollers. In addition to the broker, the Mosquitto project also includes a C library that facilitates the creation of MQTT clients, alongside the widely used command line clients, mosquitto_pub and mosquitto_sub, which enhance user interaction with the MQTT protocol. Overall, Mosquitto serves as a versatile tool for developers aiming to implement messaging solutions in a variety of applications.

The infrastructure is fully equipped with capabilities built as microservices, which are containerized using Docker and managed through Kubernetes. It offers support for multiple protocols and remains hardware agnostic, allowing seamless connections between any device and various third-party applications. Secure connections are ensured through TLS and DTLS, alongside mutual TLS authentication that utilizes X.509 certificates. The Mainflux software stack encompasses all essential components and microservices needed for developing IoT solutions, projects, or products. This IoT platform is designed to enhance interoperability with existing enterprise applications and other IoT platforms. Furthermore, it supports bidirectional communication with a vast number of devices and gateways, employing diverse open protocols and data formats. The system normalizes messages to simplify integration with the overall infrastructure, promoting efficiency and ease of use. Ultimately, this comprehensive approach fosters a robust environment for innovative IoT applications.

Evaluating the current software systems in your automotive or robotic applications to determine a pathway toward commercialization is essential. This includes the migration of your current software to Apex.OS, as well as updating your operational environment to utilize a cutting-edge framework for continuous integration, testing, and delivery. Additionally, we offer comprehensive software architecture assessments and tailored recommendations. Our services also include functional safety training, empowering your team to develop a reliable and secure autonomous system. Apex.OS has been specifically designed as a variant of ROS 2, enhancing it to be real-time, dependable, and deterministic, making it suitable for applications that require high safety standards. The development of Apex.OS is conducted in alignment with forthcoming releases of ROS 2, ensuring that its APIs maintain compatibility with ROS 2. This platform leverages the capabilities of Eclipse Cyclone DDS™ and Eclipse iceoryx™, both of which are open-source and have demonstrated reliability in automotive and mission-critical distributed environments. By adopting these advanced solutions, you can enhance the efficiency and safety of your systems.

Utilize the leading Enterprise Resource Interoperability (ERI) platform in the industry to seamlessly integrate, analyze, and automate both rule-based and event-driven business processes within large-scale data sectors. The Metatomix ERI platform features the M3T4 Studio (M3), an adaptable JAVA platform built on Eclipse that harnesses data semantics to connect your organization’s most vital information. Unique in its capability, Metatomix M3 allows for the development of semantic data applications while providing a comprehensive solution anchored in Java’s Eclipse IDE. Rather than starting with a blank slate, take advantage of an extensive array of adaptable resources, including agents and ports, that come bundled with M3. Specifically designed to comprehend your data's semantics, M3 is equipped with functionalities that facilitate the description, inference drawing, and actionable insights from your diverse data sets, ensuring that you can effectively manage and utilize the vast amounts of information at your disposal. By leveraging these powerful features, businesses can achieve greater efficiency and insight, ultimately driving better decision-making processes.

ThingPark Wireless stands out as the premier and most comprehensive multi-technology LPWA IoT Network platform available today. Currently supporting more than half of the global LoRaWAN network implementations, it serves as the backbone of your IoT infrastructure, facilitating secure communication and data management from sensors all the way to cloud-based applications. Its modular design allows for seamless scalability, empowering Service Providers to effectively monetize their connectivity solutions while promoting the swift integration of IoT technologies across various sectors. With a horizontally scalable core network architecture, it can handle an impressive throughput of 150,000 packets per second, which translates to the capacity for up to 1.2 billion devices and 10 million gateways per cluster. Additionally, it provides a comprehensive suite of back-office tools designed for the efficient onboarding and management of devices, gateways, and applications. With robust multi-layer security measures in place, it ensures the safe transmission of sensor data to application servers. Furthermore, its superior MAC efficiency is engineered to enhance network capacity while extending battery life, making it an optimal choice for IoT deployments. Overall, ThingPark Wireless not only meets the demands of today's IoT landscape but also paves the way for future advancements in connectivity and technology integration.

Eclipse GlassFish is a Jakarta EE-compatible implementation backed by the Eclipse Foundation. We are excited to share the official release of Eclipse GlassFish 6.1, which features implementations for the Jakarta EE 9.1 Platform and Web Profile specifications. You can find the download links on the GlassFish Download page. Eclipse GlassFish 6.1 adheres to the Jakarta EE 9.1 specification, which includes both the Jakarta EE 9.1 Platform and the Jakarta EE 9 Web Profile. This marks the initial release candidate of Eclipse GlassFish 6.1 and is now available for download. Designed as a Compatible Implementation of Jakarta EE 9.1, this release mandates the use of JDK 11. Additionally, the final version is set to launch in alignment with the official release of Jakarta EE 9.1, ensuring seamless integration for developers.

Eclipse Dirigible™ is an application platform designed for high productivity, offering both development tools and a runtime environment. It facilitates the complete development lifecycle of applications by utilizing an in-system programming model alongside rapid application development methods. This platform encompasses the entire development process, including database management and modeling, the creation of RESTful services with various dynamic languages, and user interface generation based on established patterns, as well as role-based security, integration of external services, testing, debugging, operations, and monitoring. All source code and example applications from the Eclipse Dirigible project are available under the Eclipse Public License v 2.0 and can be found on GitHub. Students can utilize this platform to work on projects, explore different technologies and scenarios, and learn widely-used programming languages. With Eclipse Dirigible, you have all the essential tools and resources at your disposal for any development venture you embark upon. Its comprehensive features make it an ideal choice for both beginners and experienced developers alike.

All the benefits of distributed systems are available from one, unified, intelligent platform. The Ormuco Edge PaaS & Decentralization solution is a unique platform that can handle all your fog computing, edge computing, and decentralization needs. It is the only solution available for 5G and scenarios involving users in motion (roaming). It also includes an advanced billing engine that charges accurately at the edge. It automatically deploys applications to edge gateways based upon demand. It is self-managed, and it self-heals using AI and machine-learning.

The hybrid edgeCloud platform allows various smart devices, ranging from smartphones to IoT gadgets, to function as cloud servers when necessary. The edgeEngine serves as a downloadable software that empowers these devices to operate as cloud servers under suitable conditions. This versatile engine is compatible with any smart device, regardless of its operating system or network, and integrates seamlessly with any cloud infrastructure. In contrast to traditional backend development, which often demands significant time and financial resources for server maintenance and scaling, mimik offers a serverless environment tailored for edge microservices, ensuring optimal performance and efficiency. By utilizing the edgeEngine, users can enhance any smart device with basic computing capabilities—such as smartphones, PCs, set-top boxes, residential and IoT gateways, game consoles, smart TVs, drones, robots, infotainment systems in cars, and industrial sensors—with server functionality. Furthermore, developers have the flexibility to either create and deploy custom edge microservices or take advantage of mimik’s pre-built, field-proven microservices to introduce innovative solutions or modernize existing applications. This capability not only streamlines the development process but also significantly reduces the barriers to implementing cutting-edge technology.

The Datacake platform enables you to implement various Industrial IoT applications, including condition monitoring, data logging, real-time dashboards, and comprehensive data analytics. You can easily connect devices and gateways using LoRaWAN or NB-IoT protocols. With options like MQTT and other interfaces, the platform offers flexibility in integration. Utilizing the Datacake IoT platform along with Ready-to-Use LoRaWAN sensors, you can effectively monitor water levels in various settings, whether in flowing streams, stagnant ponds, or storage containers. Additionally, the platform features modern online mapping tools that allow you to visualize the real-time locations of your IoT assets, such as sensors and machines, on Interactive Maps. You can also track the historical routes traversed by these devices, providing valuable insights directly on the map. Furthermore, you have the capability to upload images and position sensors within detailed floor plans, hall layouts, or other relevant diagrams. This functionality allows you to present on-site conditions to your customers in an intuitive manner. Data can be sent to your devices on Datacake using webhooks, and there are also payload decoders available for handling HTTP requests. By leveraging these features, businesses can enhance their operational efficiency and improve decision-making processes.

Ayla adopts a genuinely agnostic strategy, facilitating device connectivity through various widely-used transport protocols, connectivity methods, and cloud infrastructure solutions. Compatible with standards such as HTTPS, MQTT, and CoAP, Ayla offers a comprehensive selection of pre-configured agents designed for embedded systems, gateways, Android, Linux, BLE/phones, and cloud connectivity. The company’s Virtualization Engine creates a powerful 'digital twin' of each physical device, establishing a strong groundwork for managing devices at a large scale within the IoT ecosystem. With proven functionalities like a rules engine, firmware Over-The-Air (OTA) updates, and data policies, Ayla's Device Management system ensures thorough support for connected products throughout their entire lifecycle. Additionally, Ayla's application enablement capabilities allow businesses to derive significant value from their data in numerous ways. By providing both a Web Framework and a Mobile Platform SDK, Ayla accelerates the development of consumer and business applications. Furthermore, they offer services such as Customer Care, Field Service, and Asset Tracking, enhancing the overall user experience and operational efficiency.

The Losant Enterprise IoT Platform serves as a powerful application enablement tool, empowering businesses to create IoT products, services, and applications that can securely scale to accommodate millions of devices. We support IoT solution development for a diverse range of Fortune 500 clients across various sectors, including telecommunications, manufacturing, and industrial IoT. Our platform is equipped to handle multiple use cases, such as asset tracking, monitoring industrial equipment, creating smart environments, and facilitating contact tracing. Every component of Losant, from Edge Compute to End-User Experiences, integrates seamlessly to convert data into customized IoT solutions. Utilize Losant’s edge computing capabilities to deploy logic directly onto edge devices, which helps minimize dependency on constant connectivity and allows for pre-filtering of data before it reaches the cloud. Enhance organization of data and devices through Losant’s advanced tagging and device modeling features. Ensure robust security measures are in place with TLS encryption and fully revocable access keys assigned to each device, thereby reinforcing the integrity of the entire IoT ecosystem. By leveraging these tools, enterprises can significantly enhance their operational efficiency and adaptability in an increasingly connected world.

Eclipse Theia allows you to create multi-language Cloud & Desktop IDEs using state-of-the art web technologies. Are you unsure whether you need a desktop or web version? Theia allows you to create one IDE and have it run in browsers or native desktop applications from a single source. The Eclipse Foundation hosts the Theia project. It is a non-profit corporation and is developed by a diverse group. Projects hosted at an Open-Source Foundation, unlike other open-source projects, are protected from single-vendor decisions that would be detrimental to the interests of the diverse community. Theia is modularly designed to allow users and extenders to customize and extend every aspect of the system. It is easy to create a custom IDE-like product by simply listing all required extensions in a package.json. It is simple to add new functionality by implementing your extensions. This gives you all the flexibility that you need.

Many business web applications utilize similar design patterns. JRapid has recognized these patterns and developed a platform aimed at accelerating the development process, leveraging Java alongside popular open-source frameworks. By adopting the Model-Driven Development (MDD) methodology, JRapid requires users to first create a model of their business with its Domain-Specific Language (DSL) and then generate a complete Java business application stack. To begin, navigate to your chosen directory via the command line and execute the specified command, keeping in mind that the initial run of Maven may take a while. Once you've set up your environment, use Eclipse or another preferred editor to modify Main.xml and design your application using AML (Application Modeling Language). After completing your application's model, execute the provided command to generate the necessary code, ensuring a streamlined development experience. This process not only simplifies application creation but also enhances efficiency in bringing business ideas to life.

Gravio offers innovative methods to engage with your surroundings by harnessing the capabilities of IoT, sensors, edge computing, computer vision, and AI, all without requiring any programming expertise. This user-friendly software platform is compatible with Windows, macOS, and Linux systems. It allows seamless connectivity to various inputs and outputs, including integral IoT sensors, AI-driven cameras, and APIs such as MQTT and HTTP. With its straightforward interface, Gravio can be utilized effectively without any software development skills. By linking sensors, input devices, cameras, and APIs, Gravio captures and disseminates information, paving the way for novel interactions and insights that enrich physical spaces. The platform empowers entrepreneurs and organizations from diverse sectors to design tailored, connected experiences in both new and existing environments by providing a robust low-code/no-code framework. Ultimately, Gravio stands as a gateway to unlocking the full potential of interconnected technologies for users of all backgrounds.

BIRT allows users to create dynamic data visualizations, dashboards, and reports that can seamlessly integrate into web applications as well as rich client environments. Transform your data into meaningful insights! The acronym BIRT stands for Business Intelligence Reporting Tool, which perfectly encapsulates its purpose. This powerful tool can aggregate and synthesize data from a variety of sources, including databases, files, Java, JavaScript, and web services, enabling both textual reporting and visual charting. As an open-source initiative, BIRT provides a robust technology platform for developing data visualizations and facilitates the embedding of reports in both desktop and web applications, particularly those utilizing Java and Jakarta EE. It stands as a prominent project under the Eclipse Foundation, catering to diverse reporting requirements. Often, developers implement reporting features in a piecemeal manner, relying on suboptimal technologies for unique application needs, which can hinder efficiency and effectiveness. With BIRT, organizations can streamline their reporting processes, ensuring consistency and reliability across their applications.

Pratexo significantly speeds up the creation, evaluation, and deployment of distributed systems necessary for advanced applications in artificial intelligence, the Internet of Things, and Industry 4.0. Utilizing established and open technologies, Pratexo establishes a robust and secure platform tailored to the unique requirements of your application. For transformative applications to function effectively, they must detect, analyze, and respond to vast quantities of data in real time. This necessitates a distributed cloud infrastructure that provides essential cloud service capabilities across various locations, particularly close to the edge. Designing and launching such architectures and applications is not only intricate but also poses numerous challenges. Often, applications that initially perform well struggle to maintain efficiency at scale and face difficulties in real-world environments. A significant number of proof-of-concept initiatives for 'digital transformation' either fail or take considerably longer to reach the market than anticipated, underscoring the complexities involved in this process. Consequently, a strategic approach is essential to navigate these hurdles and ensure successful implementation.

Analyze and utilize your data at the Edge to transform Big Data into manageable, pertinent insights. Gather sensor information from all your equipment and establish connections with various devices like sensors, PLCs, DCS, MES, or historians. Implement condition monitoring for assets located remotely, aligning with Industry 4.0 standards for effective data collection and integration. Merge real-time streaming data with enterprise data for seamless data flows, and utilize your preferred Cloud Provider or your own data center for data storage solutions. Leverage Crosser Edge's MLOps capabilities to bring, manage, and deploy your custom machine learning models, with the Crosser Edge Node supporting any machine learning framework. Access a centralized library for your trained models hosted in Crosser Cloud, and streamline your data pipeline using a user-friendly drag-and-drop interface. Easily deploy machine learning models to multiple Edge Nodes with a single operation, fostering self-service innovation through Crosser Flow Studio. Take advantage of an extensive library of pre-built modules to facilitate collaboration among teams across different locations, effectively reducing reliance on individual team members and enhancing organizational efficiency. With these capabilities, your workflow will promote collaboration and innovation like never before.

Supports secure connections with devices that utilize HTTP and MQTT protocols, while receiving data from LoRa Network Servers as well as streams from various IoT Clouds. This versatile serverless computing environment, often referred to as function as a service (FaaS), offers online editing capabilities along with codecs and integrations. It processes and normalizes incoming data from devices, translating uplink messages and encoding downlink commands to streamline integration function deployment. The system efficiently manages device registration, configuration, provisioning, and facilitates Firmware Over The Air (FOTA) scheduling and batching. Users can easily deregister and reregister devices through the LNS Switch feature. It securely stores LoRaWAN keys and SSL/TLS certificates, providing access to real-time data insights. With exceptional performance, it can handle large volumes of data, allowing for quick queries across billions of telemetric and historical records. Capable of ingesting millions of data points in a second, it also offers vertical and horizontal scalability driven by a robust data streaming processing engine. Additionally, this architecture ensures that data management remains efficient and responsive, adapting to the ever-growing demands of IoT applications.

Eclipse AI serves as an easily integrated AI solution designed to identify risk factors associated with customer attrition. By enabling users to input voice-of-customer data from various sources such as surveys, reviews, chat logs, and phone conversations, Eclipse AI analyzes this information. It subsequently produces actionable strategies aimed at mitigating the risks of customer churn, leveraging both the analyzed data and established industry best practices. This innovative tool not only helps in retaining customers but also enhances overall customer satisfaction through targeted interventions.