The concept of the Internet of Things is intrinsically related to the sending of data to the internet and its so-called cloud services. Learn how to join a Toradex Single Board Computer solution with the Azure IoT Hub service to send and receive messages in our next blog. It will help you to develop an IoT application which can read field sensors, present results, and demonstrate business intelligence. Toradex is an Azure IoT certified partner.
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)Sascha Dittmann
In dieser Session stellen wir anhand eines praktischen Szenarios vor, wie konkrete Aufgabenstellungen mit HDInsight in der Praxis gelöst werden können:
- Grundlagen von HDInsight für Windows Server und Windows Azure
- Mit Windows Azure HDInsight arbeiten
- MapReduce-Jobs mit Javascript und .NET Code implementieren
SQLSaturday #230 - Introduction to Microsoft Big Data (Part 1)Sascha Dittmann
In dieser Session stellen wir anhand eines praktischen Szenarios vor, wie konkrete Aufgabenstellungen mit HDInsight in der Praxis gelöst werden können:
- Grundlagen von HDInsight für Windows Server und Windows Azure
- Mit Windows Azure HDInsight arbeiten
- MapReduce-Jobs mit Javascript und .NET Code implementieren
Big data streaming with Apache Spark on AzureWillem Meints
A talk for the Breda Dev meetup in which I showed what challenges microservices architectures bring for data analysis and how you can tackle these challenges with Apache Spark on Azure.
With all the outstanding education technologies available these days, it's now possible to turn an online course into a full ecosystem of best-in-breed technologies and content providers. Come to this session to learn what that ecosystem can look like! We'll discuss how to use open educational resources (OERs) to replace expensive textbooks, and tips for finding, reviewing, and implementing the best tools right inside your LMS/VLE. We'll also look at best practices for building and adopting an open-centric strategy in your organization's teaching and learning environment.
Spark on Azure HDInsight - spark meetup seattleJudy Nash
Since HDInsight launched Spark clusters last year, HDInsight spark team’s mission has been making Spark easy-to-use and production-ready. In the process, we have explored many open source technologies such as Livy, Jupyter, Zeppelin. In this talk, we will demo top customer features, deep dive into HDInsight Spark architecture, and share learnings from building the perfect cluster.
Speakers: Judy Nash and Lin Chan
A walk through of how Microsoft Azure could platform can be a powerful tool for solution designing, proof of concepts and performance testing. Leverage Azure capabilities and technologies in early development phases in dev/test scenarios without heavy dependence of IT support. Azure can be a DIY model for quick prototyping and gaining visibility into material solution design and architectures.
Serverless is a new framework that allows developers to easily harness AWS Lambda and Api Gateway to build and deploy full fledged API services without needing to deal with any ops level overhead or paying for servers when they're not in use. It's kinda like Heroku on-demand for single functions.
DC Spark bake off - Realtime TCP Packet Analysis using Spark and Azure Event ...Silvio Fiorito
Slides for my entry to the DC Apache Spark Meetup, Spark Bake Off. I built a demo of a distributed, real-time TCP packet analysis system with Apache Spark, Azure Event Hubs, and Power BI
Getting started with azure event hubs and stream analytics servicesEastBanc Tachnologies
Author: Vladimir Bychkov, www.eastbanctech.com
The total amount of data in the world almost doubles every 2 years. Storing data for offline processing is no longer a viable business model. In the past few years, new technologies for real-time data processing emerged. Microsoft Azure offers a comprehensive set of tools to ingest and process data in motion. In this presentation we will go over and learn how to collect data from devices, how to process data in real time using Azure Stream Analytic jobs, and how to produce and handle actionable insights.
Spark in yarn managed multi-tenant clustersshareddatamsft
Spark’s YARN support allows scheduling Spark workloads on Hadoop alongside a variety of other data-processing frameworks. In this talk, Pravin and Rajesh from Microsoft HDInsight dev team deep dive on how Spark works on yarn and why we opted on yarn as preferred cluster manager. We will give our insight on how we achieved multi-tenancy, maximizing cluster resource utilization, and while ensuring minimum resources for each application using Spark dynamic executor and Yarn schedulers on Spark HDI clusters.
Non è necessario tirare in ballo l’IoT per immaginare quanto possa essere utile per fare query sui dati mentre questi fluiscono verso il database, e non solamente dopo. Si apre un mondo di possibilità per quanto riguarda alerting & monitoring in tempo reale, che è chiaramente la parte più immediata, ma è anche possibile pensare a cose come real-time dasboarding e soluzioni per aggiustare prezzi ed offerte di prodotti in tempo reale. In questa sessione vedremo come è possibile utilizzare Azure Stream Analytics ed il suo linguaggio SQL-Like per analizzare i dati in streaming, e quindi iniziare a prendere confidenza con questo nuovo approccio ormai sempre pià in voga e sempre più richesto, sia nel mondo dell’IoT che non.
The session covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products.
Being able to analyze data in real-time will be a very hot topic for sure in near future. Not only for IoT-related tasks but as a general approach to user-to-machine or machine-to-machine interaction. From product recommendations to fraud detection alarms, a lot of stuff would be perfect if it could happen in real time. Now, with Azure Event Hubs and Stream Analytics, it’s possible. In this session, Davide will demonstrate how to use Event Hubs to quickly ingest new real-time data and Stream Analytics to query on-the-fly data, in order to do a real-time analysis of what’s happening right now.
Read our blog which describes our IoT parking lot demo and the technology behind it. We will also tell you how to use Azure IoT Hub to send messages between Azure services and devices to achieve the same level of communication we had in our demo. You will learn about the different modules we have used in our demo and how to develop simple applications using Azure IoT Hub.
Simplifying IoT App Development - A Whitepaper by RapidValueRapidValue
This whitepaper provides a step by step guide to build IoT application on Azure without using complex hardware.This paper also illustrates a detailed approach on building an IoT application without using complex hardware. This paper is a guide for technical and non- technical professionals to get started on IoT development. It explains how you can build and
try out a basic solution using a simulator device on your PC that can send trigger events to the Azure IoT Hub rather than having a need to buy or build an actual hardware device.
Big data streaming with Apache Spark on AzureWillem Meints
A talk for the Breda Dev meetup in which I showed what challenges microservices architectures bring for data analysis and how you can tackle these challenges with Apache Spark on Azure.
With all the outstanding education technologies available these days, it's now possible to turn an online course into a full ecosystem of best-in-breed technologies and content providers. Come to this session to learn what that ecosystem can look like! We'll discuss how to use open educational resources (OERs) to replace expensive textbooks, and tips for finding, reviewing, and implementing the best tools right inside your LMS/VLE. We'll also look at best practices for building and adopting an open-centric strategy in your organization's teaching and learning environment.
Spark on Azure HDInsight - spark meetup seattleJudy Nash
Since HDInsight launched Spark clusters last year, HDInsight spark team’s mission has been making Spark easy-to-use and production-ready. In the process, we have explored many open source technologies such as Livy, Jupyter, Zeppelin. In this talk, we will demo top customer features, deep dive into HDInsight Spark architecture, and share learnings from building the perfect cluster.
Speakers: Judy Nash and Lin Chan
A walk through of how Microsoft Azure could platform can be a powerful tool for solution designing, proof of concepts and performance testing. Leverage Azure capabilities and technologies in early development phases in dev/test scenarios without heavy dependence of IT support. Azure can be a DIY model for quick prototyping and gaining visibility into material solution design and architectures.
Serverless is a new framework that allows developers to easily harness AWS Lambda and Api Gateway to build and deploy full fledged API services without needing to deal with any ops level overhead or paying for servers when they're not in use. It's kinda like Heroku on-demand for single functions.
DC Spark bake off - Realtime TCP Packet Analysis using Spark and Azure Event ...Silvio Fiorito
Slides for my entry to the DC Apache Spark Meetup, Spark Bake Off. I built a demo of a distributed, real-time TCP packet analysis system with Apache Spark, Azure Event Hubs, and Power BI
Getting started with azure event hubs and stream analytics servicesEastBanc Tachnologies
Author: Vladimir Bychkov, www.eastbanctech.com
The total amount of data in the world almost doubles every 2 years. Storing data for offline processing is no longer a viable business model. In the past few years, new technologies for real-time data processing emerged. Microsoft Azure offers a comprehensive set of tools to ingest and process data in motion. In this presentation we will go over and learn how to collect data from devices, how to process data in real time using Azure Stream Analytic jobs, and how to produce and handle actionable insights.
Spark in yarn managed multi-tenant clustersshareddatamsft
Spark’s YARN support allows scheduling Spark workloads on Hadoop alongside a variety of other data-processing frameworks. In this talk, Pravin and Rajesh from Microsoft HDInsight dev team deep dive on how Spark works on yarn and why we opted on yarn as preferred cluster manager. We will give our insight on how we achieved multi-tenancy, maximizing cluster resource utilization, and while ensuring minimum resources for each application using Spark dynamic executor and Yarn schedulers on Spark HDI clusters.
Non è necessario tirare in ballo l’IoT per immaginare quanto possa essere utile per fare query sui dati mentre questi fluiscono verso il database, e non solamente dopo. Si apre un mondo di possibilità per quanto riguarda alerting & monitoring in tempo reale, che è chiaramente la parte più immediata, ma è anche possibile pensare a cose come real-time dasboarding e soluzioni per aggiustare prezzi ed offerte di prodotti in tempo reale. In questa sessione vedremo come è possibile utilizzare Azure Stream Analytics ed il suo linguaggio SQL-Like per analizzare i dati in streaming, e quindi iniziare a prendere confidenza con questo nuovo approccio ormai sempre pià in voga e sempre più richesto, sia nel mondo dell’IoT che non.
The session covers how to get started to build big data solutions in Azure. Azure provides different Hadoop clusters for Hadoop ecosystem. The session covers the basic understanding of HDInsight clusters including: Apache Hadoop, HBase, Storm and Spark. The session covers how to integrate with HDInsight in .NET using different Hadoop integration frameworks and libraries. The session is a jump start for engineers and DBAs with RDBMS experience who are looking for a jump start working and developing Hadoop solutions. The session is a demo driven and will cover the basics of Hadoop open source products.
Being able to analyze data in real-time will be a very hot topic for sure in near future. Not only for IoT-related tasks but as a general approach to user-to-machine or machine-to-machine interaction. From product recommendations to fraud detection alarms, a lot of stuff would be perfect if it could happen in real time. Now, with Azure Event Hubs and Stream Analytics, it’s possible. In this session, Davide will demonstrate how to use Event Hubs to quickly ingest new real-time data and Stream Analytics to query on-the-fly data, in order to do a real-time analysis of what’s happening right now.
Read our blog which describes our IoT parking lot demo and the technology behind it. We will also tell you how to use Azure IoT Hub to send messages between Azure services and devices to achieve the same level of communication we had in our demo. You will learn about the different modules we have used in our demo and how to develop simple applications using Azure IoT Hub.
Simplifying IoT App Development - A Whitepaper by RapidValueRapidValue
This whitepaper provides a step by step guide to build IoT application on Azure without using complex hardware.This paper also illustrates a detailed approach on building an IoT application without using complex hardware. This paper is a guide for technical and non- technical professionals to get started on IoT development. It explains how you can build and
try out a basic solution using a simulator device on your PC that can send trigger events to the Azure IoT Hub rather than having a need to buy or build an actual hardware device.
Azure IoT Hub on a Toradex Colibri VF61 – Part 2 - Interfacing sensors and th...Toradex
Check out our second blog post in a three-part series to gain in-depth understanding of building an IoT application based on Toradex System on Modules. The embedded system chosen for this purpose was a Toradex customized SBC solution: the Colibri VF61 SoM + the Iris Carrier Board. Learn the intricacies of reading the field sensors and sending information to the cloud using Microsoft Azure IoT services, demonstrated via an IoT car. Read our second blog in a three-part series here: https://www.toradex.com/blog/azure-iot-hub-colibri-vf61-interfacing-sensors-iot-car-part-2
Seminar_report on Microsoft Azure ServiceANAND PRAKASH
Executing applications in the clouds offer many advantages over the traditional way of running programs. Firstly, using cloud computing allows rapid service deployment and massive savings upfront because not having to invest in infrastructure. Secondly, cloud computing model allows computing power and storage to scale up with business growth. In addition to this, it’s also easy to dynamically adjust computing power up or down. As a customer, you end up paying for the actual usage of resources. The advantages of using the Azure cloud platform relate to the fact that Microsoft has tried to minimize the changes involved in migrating applications to the cloud. Effort required from developers already familiar with Microsoft’s technologies to utilize the Azure is minimal. In addition to this, upcoming releases of Azure are going to support applications written in languages such as Python and PHP. Another advantage in Microsoft’s solution is that the services provided can be used in a very flexible fashion. Not only are Azure services available to cloud applications, but also traditional on-premises applications are free to exploit them. What’s even better, Microsoft seems to be improving in terms of interoperability. Because all of the services are accessible via industry standard protocols, it is guaranteed exploiting them doesn’t force customers to use Microsoft’s operating systems on-premises. Although there are many advantages in cloud computing, there are also disadvantages that shouldn’t be ignored. The first and most obvious disadvantage is the fact that by running applications in the cloud you have to hand over your private data. Privacy and security concerns are direct consequences of this. Secondly, although cloud computing relieves customers from the burden of infrastructure management, it also takes away the possibility to be in total control of that infrastructure. In addition to loosing control on hardware, using compute clouds also ties the customer very tightly to the cloud service provider. Data, for example, is usually stored in a proprietary format which makes porting applications to competitors’ systems hard. As customers are locked in, they are also at the mercy of that certain service provider’s future pricing strategy.
Ultimate list of 50 Best IoT platforms of 2019ThingsCloud
IoT has become a key driver of industrial growth in recent time. Along with that quite a lot of IoT platforms is coming in the market place. This is the comprehensive list of IoT Platforms we have classified IoT Platforms into
1. SaaS IoT Platforms
2. Open-Source IoT Platforms
3. Enterprise IoT Platforms
4. Self-Service IoT Platforms
This is a must read presentation for Developers, Students or anyone who is interested in IoT
8 pre launch steps to go with the web rtc based application developmentMoonTechnolabsPvtLtd
Experiencing and interacting with people via live video has become quite popular in numerous applications across various industries. With real-time engagement through live video, hundreds and thousands of businesses managed to transform the way they operate. Today, business enterprises, telemedicine platforms, online education platforms, entertainment & sports platforms, virtual event platforms, e-commerce, and everything else in between, use the power of WebRTC technology to establish communications in real-time via mobile applications.
https://www.moontechnolabs.com/blog/pre-launch-steps-with-webrtc-based-application-development/
We are a top web design and website development company in Toronto, Canada specialized in offering custom website development solutions for enterprises,
Toradex Strengthens Custom Solutions Offering with Acquisition of Linear Comp...Toradex
April 24, 2024, Horw, Switzerland: Toradex, a trusted leader in embedded systems, is pleased to announce the integration of Linear Computing Inc. (LCI) into its fold. This strategic acquisition marks a significant step forward in Toradex's commitment toward making embedded computing easy, offering tailored solutions to meet customers' project requirements with unparalleled ease.
Introducing Aquila: The Next Generation Toradex SoM FamilyToradex
April 4, 2024, Horw, Switzerland: Toradex, a leading embedded systems solutions provider, has launched its newest family of pin-compatible and scalable System on Modules (SoMs) - Aquila.
Toradex's impact in the APAC region continues to grow as the company prepares to participate in the upcoming Japan IT Week Spring 2024 where it will unveil its latest and innovative solutions.
Horw, Switzerland, 07 November 2023: Toradex, a leader in Industrial IoT, Edge, and embedded computing solutions, today announced the start of the early access program in collaboration with NXP® Semiconductors for the i.MX 95 Titan EVK - Toradex’s Evaluation Kit (EVK) based on NXP’s flagship i.MX 95 applications processors family - featuring NXP eIQ® Neutron NPU, Arm® Mali™ GPU, NXP image signal processor, and multiple compute domains in a functional safety development platform- at the NXP Tech Day held in Detroit, Michigan. Toradex was chosen by NXP to support its Early Access Program to accelerate the adoption of the i.MX 95 applications processor in key markets and applications.
NXP Semiconductors elevates Toradex to Platinum Partner statusToradex
24 January 2023, Horw, Switzerland: Toradex, a leader in IoT and embedded computing solutions, announces that NXP® Semiconductors has elevated it to Platinum Partner status, the highest level a partner can obtain within NXP’s longstanding Global Partner Program.
Webinar: Secure Offline and Online Updates for Linux DevicesToradex
In this webinar, we will discuss common ways to do offline updates and the pros and cons in regards to reliability and security. We will demonstrate how to bring offline updates onto embedded/IoT Linux devices.
Toradex opens office in Tokyo, reaffirming its growth strategy in the Asia-Pa...Toradex
Toradex, a leader in embedded computing, today announced the opening of its office in Tokyo, Japan. This move reiterates the company’s commitment to the Asia-Pacific region. Toradex has partnered with key distributors in Japan over the years to enable the widespread availability of its products.
Verdin provides developers with intuitive access to the latest interfaces and all Toradex module families with excellent pin-compatibility for cost, performance and scalability.
Ethernet compliance test is a hard task, but we make it much easier for you. Learn more from the basics to automotive Ethernet and how we do our tests, thereby simplifying things for you when designing a custom carrier board. http://bit.ly/2SBGTNO
Webinar On-demand: Introducing the new Colibri SoM based on the NXP i.MX 6ULL...Toradex
In this guest webinar with NXP, you will be introduced to our new Colibri SoM based on the NXP’s power-efficient and cost optimized applications processor – the i.MX 6ULL SoC. Toradex’s Colibri iMX6ULL features Wi-Fi and Bluetooth, secure encryption, and a wide range of other interfaces for connecting peripherals such as sensors, GPS, displays and camera sensors.
Here's our latest blog post, written by our Leonardo Veiga, FAE, Toradex Brasil, shows you how to use computer vision in embedded systems, by employing the OpenCV in Computer on Modules (CoMs) equipped with NXP i.MX 6 processors. Read on here: http://bit.ly/2Bf1jCS
Toradex's latest blog post written by Leonardo Graboski Veiga, FAE, Toradex Brasil, shows you how to provision an Ubuntu Server 16.04 LTS virtual machine in Microsoft Azure, and use Yocto/OpenEmbedded to generate an embedded Linux image. Read on here: https://www.toradex.com/blog/cloud-aided-yocto-build-speedup
We pulled off a whirlwind video mashup showcasing Toradex’s cross-functional, multicultural industry experts in action. Take a look! http://bit.ly/2f4x0Za
Considerations on usage of Computer on Modules for Applications inside Emerge...Toradex
In this guest blog post, Diamond Systems explains considerations to use Computer Modules for an application inside an emergency response vehicle. Diamond Systems is a valued member of the Toradex Partner Network providing off-the-shelf ready-to-use Carrier Boards for Toradex Modules.
Customizable Embedded 3D Surround View Turn-Key Solution on Apalis iMX6 SoMToradex
Toradex's partner TES Electronic Solutions GmbH presents a customizable 3D Surround View Turn-Key solution based on the Toradex Apalis iMX6 SoM that can be quickly adapted concerning the specific requirements of the targeted vehicle. Read more in their guest blog post here: https://www.toradex.com/blog/customizable-embedded-3d-surround-view-turn-key-solution-apalis-imx6-som
288 Core ARM® and 13’824 CUDA Core Microserver Cluster with Toradex Apalis Sy...Toradex
We’re excited to welcome Christmann into the Toradex Partner Program. Christmann brings forth its exciting 288 Core ARM® and 13’824 CUDA core microserver cluster with Toradex Apalis System on Modules.
First Steps Developing Embedded Applications using Heterogeneous Multi-core P...Toradex
Read our blog for the latest on demystifying the development of embedded systems using Heterogeneous Multicore Processing architecture powered SoCs! This might provide you with the jump start you need for your development. https://www.toradex.com/blog/first-steps-developing-embedded-applications-using-heterogeneous-multicore-processors
Developing Real-Time Systems on Application ProcessorsToradex
Guaranteeing real-time and deterministic behavior on SoC-based systems can be challenging. In this blog post, we offer three approaches to add real-time control to systems that use a SoC running a feature-rich OS such as Linux. https://www.toradex.com/blog/developing-real-time-systems-on-application-processors
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Communications Mining Series - Zero to Hero - Session 1
Azure IoT Hub on a Toradex Colibri VF61 – Part 1 - Sending data to the cloud
1. Azure IoT Hub on a Toradex
Colibri VF61 – Part 1:
Sending data to the cloud
2. |www.toradex.com Toradex® is a registered trademark of Montadex GmbH June’16 2
CHAIRMAN
Introduction
The concept of the Internet of Things is intrinsically related to
the sending of data to the internet and its so called cloud
services. People from the electronics field are everyday more
easily connecting devices to the cloud as the evolution of technology is allowing the
use of smaller and less power-consuming electronics as time goes by. Still there is an
unanswered question for many of these electronics developers: how to make all of the
gathered data useful? Because that is what the Internet of Things is about.
3. |www.toradex.com Toradex® is a registered trademark of Montadex GmbH June’16 3
CHAIRMAN
There are some examples of real applications taken from the Microsoft website in
order to share a preview of what the IoT can represent: there is an elevator company
using the internet of things to improve and give predictive maintenance; an
automation company using IoT to have insights from the oil and gas industry's
supply chain, along with predictive maintenance; and a company that uses IoT to
predict drivers behaviors and optimize car utilization. By the end of this series of
articles, it is expected that the reader might have enough information and tools ready
to deploy applications that retrieve insights and/or optimize its overall system – not
only an amount of data stacked, but some useful output!
Azure is the Microsoft cloud services platform and it provides an amount of
applications such as databases, virtual machines, app services, machine learning,
data stream analysis, media and CDN services, big data solutions, among many
others, including the IoT Hub.
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By itself, the vastness of services offered is already a good reason to use the Azure
services, but Microsoft goes one step ahead and compare its services with the
Amazon Web Services to reinforce that their solution is the better – a strong
statement that only users and time will confirm, or the other way around. Among the
reasons to use their services is the security offered, the easiness of integration and
the gentle learning curve.
The main goal of this article is to develop an IoT application, from the reading of field
sensors to the presentation of results and the retrieving of business intelligence. The
hardware used to collect the sensors data and send it to the cloud is: a Toradex Colibri
VF61 SoM + the Iris Carrier Board, since Toradex is an Azure IoT certified partner. .
This is, therefore, an advantage, once Toradex is an Azure IoT Certified Partner.
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The application should get some sensors data and send it to an IoT service from the
Microsoft Azure cloud solution, called Azure IoT Hub. Once the data is being received on
the cloud, it can be processed in many ways by other Microsoft Azure services. That is
what will be done in the second part of this article series, but for now the focus will be
on how to configure the Azure IoT Hub and send messages to it.
The chosen IoT environment was the monitoring of a car. For demonstration purposes,
sensors were attached to a remote controlled car, to which a Toradex customized SBC
was also embedded. In the image 1 it is possible to see the picture of the demo and the
image 2 holds a block representation of the aimed application.
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Image 1: The remote controlled car
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Image 2: Block diagram of the application
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The programming language chosen to develop the target application is the
Javascript along with Node.js: a server-side (which in this case is the Toradex
embedded system) Javascript interpreter built on the Chrome's V8 engine. Its
choice was based on the availability of libraries provided by the Azure Iot Hub
SDKs. It should be noticed that the IoT Hub SDKs are under heavy development,
with changes being made every new release (at least for Node), and it should be
taken under consideration. The release version of the Azure IoT Node packages
being used in this article is the version 1.0.1.
The setup of the whole environment, from the programming of the embedded
system to the configuration of Azure in order to receive data was divided in three
steps, described in this article:
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• Configuration of the Azure environment
• Adding devices and sending messages to the IoT Hub
• Programming the Toradex embedded system application
Configuration of the Azure environment
The first step needed to start developing the whole system is to create an Azure
account: a free account can be created from the Azure website as a 30 day trial. Than
a fixed amount of azure credits can be used to deploy applications that use the Azure
services without charge; also, the IoT Hub has a free version dedicated to
development, with limited resources, also free of charge, even beyond the trial
period. For more details about the pricing and the IoT Hub per se, the IoT Hub page
can be visited.
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After setting an Azure account, it is first needed to create an IoT Hub. For that,
the Azure portal should be accessed using the newly created account and the
options +New > Internet of Things > Azure IoT Hub selected. The configuration
screen for the new IoT Hub is shown in image 3. The option "Free" should be
selected in the Pricing and scale tier; a new resource group should be created in
the Resource Group field and the Location selected must match the location of the
other services to be deployed later. Any Name can be chosen and the IoT Hub
Units and Device-to-cloud partitions fields cannot be edited in the free version.
After clicking create, the service will be deployed – and it might take a few
seconds.
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That being done, the IoT Hub should appear in the Dashboard, that is, the main
Azure Portal page. After clicking it, a page like in the image 4 should open: there
will be some Essentials information such as the region of the IoT Hub; an Usage
section that gives a feedback to the system administrator regarding how many
messages were sent from devices to this service and the number of registered
devices; and a Monitoring section where the number of messages received over
time are displayed.
Image 3: Creating an IoT Hub from the Azure Portal
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Image 4: IoT Hub main panel
Still on the panel from image 4, in order to gain access to the service from other
applications, the Shared access policies option over the Settings tab should be selected.
In the new tab Shared access policies that will open, there will be a policy called
"iothubowner", which has all possible permissions to this IoT Hub and it should be
clicked. The iothubowner tab will open and its Connection string – primary key should
be copied for later usage: it is the key that will allow management and monitoring of
this IoT Hub devices in the next steps. The tabs described in this paragraph to get the
connection string are illustrated in the image 5.
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Adding devices and sending messages to the IoT Hub
Now that everything is configured in the cloud, the iothub-exporer tool needs to be
installed on the development machine so that devices can be added to the IoT Hub.
There is another tool named Device Explorer, only available for Windows systems,
so if Windows is being used in the development machine, this option might be
checked out. Since in this article the Ubuntu 14.04 is being used, I will stick to the
iothub-explorer. It should be noted that the Node version running needs to be at
least 0.12.x (it says a version 4.x or higher is needed for all the features to work),
but at the time this article was written, the apt-get tool was currently installing
some 0.10.x version. To solve this issue, the Node Version Manager (NVM) and,
subsequently, the Node version 0.12.9 were installed. From the terminal, the
iothub-explorer can be installed using the NPM (Node Package Manager):
Image 5: Getting the iothubowner connection string
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leonardo@leonardo:~$ npm install iothub-explorer@latest
Then the iothub-explorer can be run with the help option to see its usage possibilities:
leonardo@leonardo:~$ iothub-explorer help
As it can be seen in the terminal from the previous command, among the iothub-
explorer options there are create and monitor-events. In order to use this tool, the
connection string acquired in the image 5 must be used. First of all, a device named
"tdx_iot_car" will be created, as in the command below. Note the option –connection-
string that displays the device connection string (not to be confused with the IoT Hub
connection string). It should be copied since it is the key used to connect this newly
created device to the IoT Hub, by enabling the Colibri VF61 application to send
messages to the Hub.
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authentication:
SymmetricKey:
primaryKey: somesharedaccesskeyreturned
secondaryKey: somesecondaryaccesskeyreturned
-
connectionString: HostName=toradex.azure-
devices.net;DeviceId=tdx_iot_car;SharedAccessKey=somesharedaccesskeyreturned
Programming the Toradex embedded system application
Now a Colibri VF61 SoM + Iris Carrier Board should be set. In this article a pre-build
image (Colibri_VF_LinuxConsoleImageV2.5) that can be downloaded here was used.
Instructions on how to flash the image to the Colibri module can be found here. In
order to install the Node.js, the NPM package and git, the following instructions were
issued – be aware that it might take a few minutes to complete, especially the curl
instruction:
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The repository where are the packages installer and the node file regarding this
article example – send_data.js – can be cloned into the the board. To clone and install
the node packages, the following commands must be run:
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Now the code that sends data to the IoT Hub can be run, but first let's explain some
points about it: it is used the HTTP protocol to provide communication, but the AMQP
and MQTT protocols are also supported; The variable named connectionString value
must be the same string got from a few steps above, while creating the device with the
iothub-explorer:
var connectionString = "HostName=toradex.azure-
devices.net;DeviceId=tdx_iot_car;SharedAccessKey=somesharedaccesske
yreturned"
Inside the setInterval() loop many values are randomly created to be sent to the IoT
Hub as if it were data from some sensors, such as temperature, distance from an
ultrasonic sensor, acceleration and gyro, some gps coordinates and the date/time
from the board.
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How to get this data from real sensors will be addressed in the next article from this
series. The JSON.Stringify() function generates a JSON encoded string from the data
and it is encapsulated in a Message object to be sent. Below an example of a a JSON
formatted string is presented:
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In case everything goes well, the callback function from the sendEvent() method
should not print anything to the console while the code is running. The following
command runs the Colibri VF61 code and displays the feedback message
continuously printed to the console when all goes right:
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As a feedback to guarantee that the data is being received, the IoT Hub section of the
Azure Portal should update the daily message count and the monitoring graph should
present with a spike, as shown in image 6. Note that it might take from a few seconds to
more than a minute until this information gets updated in the portal.
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Image 6: Checking in the Azure Portal that data is being received
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To see the data stream that is coming into the IoT Hub, the iothub-explorer tool
may be used. To achieve this, the monitor-events option must be used with the
device id. Note that, for this to work, the Colibri VF61 application must be running
at the same time that the iothub-explorer, whereas to see the statistics from the
Azure Portal there is no need for it. The image 7 displays the iothub-explorer
receiving the data while the board was sending it simultaneously. The command to
monitor the events is displayed above, before the image:
leonardo@leonardo:~$ iothub-explorer
"your_iothub_connection_string" monitor-events yourdevice
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Image 7: Receiving data from the board into the iothub-explorer
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The Microsoft Azure website has plenty of documentation about the Iot Hub as more
information is needed to develop more complex and/or robust applications. There are
things such as creating a device, or getting messages sent from devices to the Hub, that
can be accomplished programatically – refering to the documentation is a good way to
obtain more information on the matter. Also, in the next article the focus will be in
interfacing some sensors to the Colibri VF61 + Iris Carrier Board and than, as real data
is sent to the IoT Hub, it can be used as an input to other Azure services that can
generate insights and/or add some control variables to the deployed application.
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I hope it was a helpful introductory article on how to join a Toradex SBC solution with
the Azure IoT Hub service and that you may find it useful! Also, I would like to thank the
Grupo Viceri team from Brazil for their expertise regarding Azure and Business
Intelligence, that led to the partnership that which resulted in the IoT Car project. See
you soon in the next article.
This blog post was originally featured on Embarcados.com in Portuguese. See here.