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In addition, the management UIs have been unified, so that from the same section it will be possible to select the storage mechanism (typically each project will use only one):

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More info at this post.

Queries Profiler UI: Dashboard

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for Query Profiling

In release 4.2 a metrics system for queries was created to have more information about the queries that are executed in the system (these metrics are stored in the QueryMetrics Entity).

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This component has been enabled in the serverless platform module to facilitate the creation of functions, thanks to this improvement, it will be possible to upload, edit and select the files necessary for the execution of a function during the creation or editing of the same.

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You can see how to use this tools here.

Attribute encryption/decryption support on Hashicorp Vault

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GeoServer

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as GIS server

In addition to generating a GIS library for products and projects, in this version we have worked on the implementation of a GIS server, according to the Onesait framework for GIS, the chosen server has been GeoServer.

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Once the PRESTO entities have been created, we can make JOINS between them transparently to the repository:

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More information here.

DataClass Concept

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(Data Governance)

The DataClass functionality associated with Data Governance, allows to associate both Entities (at a general level) and attributes of these, these rules allow to define validation rules and data formatting, thus allowing to execute a preprocessing before inserting the data.

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And automatically loads the editor directory tree where we can choose any file to edit:

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More info here.

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THINGS

Info

Here we tell you about the latest demonstrators we have developed on the platform, which have been used to show customers some of the platform capabilities.

If you would like us to show you live some of these demos, do not hesitate to contact us to arrange a meeting with us at contact@onesaitplatform.com

System ingest, correlation and actuation demonstrator

This demonstrator is responsible for the detection, notification and troubleshooting of multiple remote systems mounted in a topological network with the information provided by the raw logs of these systems.

For this purpose, modules such as DataFlow for log ingestion, Kafka are used,

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the FlowEngine for launching correction processes on remote systems

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Graph entities for modeling service topology:

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and dashboards for information exploitation:

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The full details of the demonstrator can be found here.

IBM Maximo Integration Demonstrator

This demonstrator allows for the exploitation of data stored in IBM Maximo from the Platform. In the demonstrator it was chosen to connect with the Maximo database, for that the DataFlow module was used to connect with the Maximo tables, extract the information and store it in the platform entities,

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and then exploit it in dashboards.

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You can find the complete scope of the demonstrator here.

Cloud Migration with the Center Demonstrator

In this demo we start from a legacy application deployed in a traditional way and move on to containerize it, deploying it in a Kubernetes cluster through Charts Helm.

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and finally deploy it on OpenShift on Google Cloud Platform.

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More information about the demonstrator here.

EXPERIENCE

Info

A complete design system for the definition and construction of digital products.

We connect research and user-centered design with the construction and development of interfaces with the latest technologies:

  • +70 reusable components

  • 35% savings in conceptualization and design time

  • 25% savings in front-end development time

More information in Experience Guides

Conversion of ODS components to Web Components

The approach, design, adaptation and development of ODS components to Web Components has been carried out, including a storybook with the available Web Components and a migration policy for existing systems..

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As the first project built on these Web Components, a Chatbot has been created:

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Evolutionary and ODS maintenance

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ODS XR, creation of a reusable onboarding scenario for virtual reality projects and adaptation of ODS and creation of interaction resources for VR projector.

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Component evolution and support (Accessibility improvements, style evolution, component design corrections such as Steps, tabs, popover, dropdown, Action menu...)

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Libraries and methodology, adaptation of libraries and documentation of new processes, covers and file organization in Figma.

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Support and documentation, evolution of component documentation in more detail.

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This platform distribution supports the development of IoT systems, both in the Cloud and Edge environments.

Ansible-based deployment

The deployment of services in the field is a main pillar in node management. Therefore, new remote orchestration systems have been included, improving and extending the capabilities of Onesait Edge. Until now, remote deployment was based on the use of docker-compose as orchestrator of Edge services, in this release Onesait Edge incorporates deployment methods by updating the IoT agent (iota), allowing installation using Ansible.

Red Hat Operating Systems Certification

Worked with the Red Hat team to certify the deployment of Onesait Edge on their operating systems, both Cloud and Edge.

Deployment on Openshift:

The deployment of Onesait Edge on Openshift has been validated, making some changes with the Helm used in Kubernetes, adapting them to the peculiarities of Openshift, some of the images used have been modified for the use of systems certified by Red Hat (OpenJDK, Node.js, etc).

RHEL for Edge Support

Red Hat has a lightweight operating system for remote field deployment.

Onesait Edge has carried out the complete integration and validation with Rhel for Edge: installation of base image with IoT agent (iota), orchestration through Podman, hardware and software validation (specific programs, modems from different manufacturers).

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Field accelerators

 The ability to perform complex operations in the field and implement artificial intelligence is an essential requirement for Onesait Edge, which is why the system has been integrated with Nvidia Jetson accelerators. Each Nvidia Jetson is a complete system on module (SOM) that includes GPU, CPU, memory, power management, high-speed interfaces, sensors, etc.

These Jetson machines are compatible with the most popular AI frameworks on the market: TensorFlow, PyTorch, Caffe, Keras, MXNet and with SDKs for new developments. This integration with Jetson systems allows Onesait Edge not only to execute more complex AI in the field, but also to evolve it.

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The equipment used was the Jetson Nano, whose main capabilities are:

  • NVIDIA CUDA® architecture: Maxwell™ GPU 128 cores

  • Quad-core ARM® Cortex® Cortex®-A57 MPCore CPU

  • AI: High performance AI computing with GPU processing

  • Ideal for smart city applications with perimeter AI

  • GbE 15W PoE support for cameras

EXPERIENCE

Info

A complete design system for the definition and construction of digital products.

We connect research and user-centered design with the construction and development of interfaces with the latest technologies:

  • +70 reusable components

  • 35% savings in conceptualization and design time

  • 25% savings in front-end development time

More information in Experience Guides

Conversion of ODS components to Web Components

The approach, design, adaptation and development of ODS components to Web Components has been carried out, including a storybook with the available Web Components and a migration policy for existing systems..

...

As the first project built on these Web Components, a Chatbot has been created:

...

Evolutionary and ODS maintenance

  • ODS XR, creation of a reusable onboarding scenario for virtual reality projects and adaptation of ODS and creation of interaction resources for VR projector.

  • Component evolution and support (Accessibility improvements, style evolution, component design corrections such as Steps, tabs, popover, dropdown, Action menu...)

  • Libraries and methodology, adaptation of libraries and documentation of new processes, covers and file organization in Figma.

  • Support and documentation, evolution of component documentation in more detail.

  • Approach design tokens for interactions and animations.

DEMOS

Info

Here we tell you about the latest demonstrators we have developed on the platform, which have been used to show customers some of the platform capabilities.

If you would like us to show you live some of these demos, do not hesitate to contact us to arrange a meeting with us at contact@onesaitplatform.com

System ingest, correlation and actuation demonstrator

This demonstrator is responsible for the detection, notification and troubleshooting of multiple remote systems mounted in a topological network with the information provided by the raw logs of these systems.

For this purpose, modules such as DataFlow for log ingestion, Kafka are used,

...

the FlowEngine for launching correction processes on remote systems

...

Graph entities for modeling service topology:

...

and dashboards for information exploitation:

...

The full details of the demonstrator can be found here.

IBM Maximo Integration Demonstrator

This demonstrator allows for the exploitation of data stored in IBM Maximo from the Platform. In the demonstrator it was chosen to connect with the Maximo database, for that the DataFlow module was used to connect with the Maximo tables, extract the information and store it in the platform entities,

...

and then exploit it in dashboards.

...

You can find the complete scope of the demonstrator here.

Cloud Migration with the Center Demonstrator

In this demo we start from a legacy application deployed in a traditional way and move on to containerize it, deploying it in a Kubernetes cluster through Charts Helm.

...

and finally deploy it on OpenShift on Google Cloud Platform.

...

More information about the demonstrator here.

COMMUNITY

Info

Open Source technologies to create community and ensure independence

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