Best Development Frameworks for Microsoft Azure

Vaadin is a Java web app development platform. It makes it easier to create reliable web apps with great UX. It is not easy to build an enterprise web application. Vaadin simplifies this process by providing an integrated web application development platform for Java backends. Vaadin includes all the components, frameworks and tools needed to create a reliable, secure app with a great UX. Research shows that a great user experience (UX), increases employee engagement, makes digital transformations more successful, and helps avoid costly mistakes. Vaadin Design System includes UI components and UX patterns to help you create consistently great user experiences in every app. You can even use it to create a custom design system in your company. Vaadin includes 45+ UI components to help you quickly create consistent UIs. You can customize the theme to match your brand. Vaadin components can be used with screen readers and assistive technology.

Uber developed Horovod to make distributed deep-learning fast and easy to implement, reducing model training time from days and even weeks to minutes and hours. Horovod allows you to scale up an existing script so that it runs on hundreds of GPUs with just a few lines Python code. Horovod is available on-premises or as a cloud platform, including AWS Azure and Databricks. Horovod is also able to run on Apache Spark, allowing data processing and model-training to be combined into a single pipeline. Horovod can be configured to use the same infrastructure to train models using any framework. This makes it easy to switch from TensorFlow to PyTorch to MXNet and future frameworks, as machine learning tech stacks evolve.

Your application startup time is not limited by the size of your codebase. This results in a massive leap in startup times, lightning fast throughput, and minimal memory footprint. The framework caches reflection data and loads it for each bean in an application context when you build applications using reflection-based IoC frameworks. Cloud support is included, including cloud runtimes, distributed tracing, discovery services, and distributed tracing. You can quickly configure your favorite data-access layer, and use the APIs to create your own. You can quickly reap the benefits of familiar annotations. You can quickly spin up servers or clients in your unit testing and run them instantly. This API provides a simple, compile time, aspect-oriented programming API, which does not use reflection.

Creating ML applications should be easy and frictionless. UnionML is a Python framework that is built on Flyte™ and unifies the ecosystem of ML software into a single interface. Combine the tools you love with a simple, standard API. This allows you to stop writing boilerplate code and focus on the important things: the data and models that learn from it. Fit the rich ecosystems of tools and frameworks to a common protocol for Machine Learning. Implement endpoints using industry-standard machine-learning methods for fetching data and training models. Serve predictions (and more) in order to create a complete ML stack. UnionML apps can be used by data scientists, ML engineers, and MLOps professionals to define a single source for truth about the behavior of your ML system.

Eurotech distributes and supports the Everyware Software Framework, an enterprise-ready IoT Framework. ESF is based on Eclipse Kura - the open source Java/OSGi gateway middleware. It adds provisioning and advanced security, as well as remote access and diagnostics monitoring. It supports ready to use field protocols (including Modbus OPC-UA S7, FANUC J1939 J1979 BACnet, IEC60870-5-101, IEC60870-5-104 DNP3, Mbus), MQTT connectivity and a web based visual data flow program to acquire data in the field, process at the edge and publish it to IoT Cloud platforms. ESF offers full remote device control through its integration with Everyware Cloud. Eurotech's IoT Integration Platform. Create and manage IoT edge applications. Connect to IoT devices, cloud services and other IoT devices using IoT Industrial Protocols. Visually compose data flow to manage, analyse, and route data.