SignalR - Building an async web app with .NET

Jan 30, 2013Download as pptx, pdf

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The document discusses building asynchronous web applications with SignalR in .NET, outlining the need for asynchronous communication for rich client experiences and real-time interactions. SignalR is presented as an abstraction over persistent connections, similar to socket.io for Node.js, with a brief tutorial on its implementation. The document also includes resources for further learning and a demo showcasing various features of SignalR.

SIGNALR

Building an async web app with .NET

Oslo/NNUG
Tomas Jansson
29/01/13

Tomas Jansson
Manager/Faggruppeleder .NET
BEKK Oslo

@TomasJansson
http://blog.tomasjansson.com

AGENDA

What is async web?
Why async web?
What is SignalR?
How?
Demo
Summary
Resources

WHAT IS ASYNC WEB?

When clients do not have
persistent connections Client1

1.

Server
2. 2.

3. 3.
Client3 Client2

WHAT IS ASYNC WEB?

When clients have persistent
connections against the server Client1

1.

Server
2. 2.
Client3 Client2

WHY ASYNC WEB?

Richer clients

Diagnostic

Chat

Collaboration

Real-time analysis

Notifications

”Anything real-time”

”Anything collaborative”

WHAT IS SIGNALR?

Abstraction over persistent connections

Asynchronous scalable web applications

It’s like Socket.IO and nowjs (nodejs) for .NET

HOW?

1. Install-package Microsoft.AspNet.SignalR -pre (-pre when pre-release)
2. Server

[HubName("simple")]
public class SimpleHub : Hub
{
public void CallOut(string message)
{
Clients.Others(message);
}
}

3. Client

$(function() {
var simpleHub = $.connection.simple;
$.extend(simpleHub.client, {
echo: function(message) { alert(message); }
});
$("#some-button").click(function() {
simpleHub.server.callOut("Echo");
});
});

DEMO TIME!

1. Persistent connection

2. Chat

3. Chat with Redis

4. (Windows app client) – if there is time

SCALE OUT

pub/sub
Server 1 Server 2

Client 1 Client 2 Client 3 Client 4 Client 5 Client 6

SUMMARY

• Async web is coming for you

• Collaboration, real-time and notification systems

• SignalR is a simple to use persistent connection abstraction for .NET

RESOURCE

• Demo projects: https://github.com/mastoj/SignalRPres

• SignalR project page: http://www.signalr.net

• SignalR on github: https://github.com/SignalR/SignalR (good samples)

• Redis for windows: http://tinyurl.com/winredis (Microsoft Open Tech)

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Next Generation 911 involves the transformation of our 911 system from an old analog one to the new digital internet based architecture. The evolution of NG911 opens up a host of new opportunities to improve the system. This includes everything from device based location, to real time text. This can improve location accuracy dramatically as well as provide live updates from the citizen in need along with real time sensor updates. There is also the opportunity to provide multi-media attachments and medical records if the end user approves. This digital transformation and enhancements all require the support of new NENA and CRTC standards, along with integration across a variety of data streams. This presentation will focus on how FME has supported NG911 transformations to date, and how we are positioning FME to support the enhanced capabilities to come. This session will be of interest to emergency services, municipalities and anyone who may be interested to know more about how emergency services are being improved to provide more accurate, localized information in order to improve the speed and relevance of emergency response and ultimately save more lives and provide better outcomes for those in need.

FIDO Seminar: Perspectives on Passkeys & Consumer Adoption.pptxFIDO Alliance

Agentic AI: Beyond the Buzz- LangGraph Studio V2Shashikant Jagtap

Data Validation and System InteroperabilitySafe Software

cnc-drilling-dowel-inserting-machine-drillteq-d-510-english.pdfAmirStern2

Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...Anish Kumar

Presented by: Anish Kumar LinkedIn: https://www.linkedin.com/in/anishkumar/ This lightning talk dives into real-world GenAI projects that scaled from prototype to production using Databricks’ fully managed tools. Facing cost and time constraints, we leveraged four key Databricks features—Workflows, Model Serving, Serverless Compute, and Notebooks—to build an AI inference pipeline processing millions of documents (text and audiobooks). This approach enables rapid experimentation, easy tuning of GenAI prompts and compute settings, seamless data iteration and efficient quality testing—allowing Data Scientists and Engineers to collaborate effectively. Learn how to design modular, parameterized notebooks that run concurrently, manage dependencies and accelerate AI-driven insights. Whether you're optimizing AI inference, automating complex data workflows or architecting next-gen serverless AI systems, this session delivers actionable strategies to maximize performance while keeping costs low.

FME for Distribution & Transmission Integrity Management Program (DIMP & TIMP)Safe Software

Peoples Gas in Chicago, IL has changed to a new Distribution & Transmission Integrity Management Program (DIMP & TIMP) software provider in recent years. In order to successfully deploy the new software we have created a series of ETL processes using FME Form to transform our gas facility data to meet the required DIMP & TIMP data specifications. This presentation will provide an overview of how we used FME to transform data from ESRI’s Utility Network and several other internal and external sources to meet the strict data specifications for the DIMP and TIMP software solutions.

Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...Safe Software

Jacobs has developed a 3D utility solids modelling workflow to improve the integration of utility data into 3D Building Information Modeling (BIM) environments. This workflow, a collaborative effort between the New Zealand Geospatial Team and the Australian Data Capture Team, employs FME to convert 2D utility data into detailed 3D representations, supporting enhanced spatial analysis and clash detection. To enable the automation of this process, Jacobs has also developed a survey data standard that standardizes the capture of existing utilities. This standard ensures consistency in data collection, forming the foundation for the subsequent automated validation and modelling steps. The workflow begins with the acquisition of utility survey data, including attributes such as location, depth, diameter, and material of utility assets like pipes and manholes. This data is validated through a custom-built tool that ensures completeness and logical consistency, including checks for proper connectivity between network components. Following validation, the data is processed using an automated modelling tool to generate 3D solids from 2D geometric representations. These solids are then integrated into BIM models to facilitate compatibility with 3D workflows and enable detailed spatial analyses. The workflow contributes to improved spatial understanding by visualizing the relationships between utilities and other infrastructure elements. The automation of validation and modeling processes ensures consistent and accurate outputs, minimizing errors and increasing workflow efficiency. This methodology highlights the application of FME in addressing challenges associated with geospatial data transformation and demonstrates its utility in enhancing data integration within BIM frameworks. By enabling accurate 3D representation of utility networks, the workflow supports improved design collaboration and decision-making in complex infrastructure projects

FIDO Alliance Seminar State of Passkeys.pptxFIDO Alliance

Can We Use Rust to Develop Extensions for PostgreSQL? (POSETTE: An Event for ...NTT DATA Technology & Innovation

Your startup on AWS - How to architect and maintain a Lean and Mean account J...angelo60207

Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.

FIDO Seminar: New Data: Passkey Adoption in the Workforce.pptxFIDO Alliance

vertical-cnc-processing-centers-drillteq-v-200-en.pdfAmirStern2

Mastering AI Workflows with FME - Peak of Data & AI 2025Safe Software

Harness the full potential of AI with FME: From creating high-quality training data to optimizing models and utilizing results, FME supports every step of your AI workflow. Seamlessly integrate a wide range of models, including those for data enhancement, forecasting, image and object recognition, and large language models. Customize AI models to meet your exact needs with FME’s powerful tools for training, optimization, and seamless integration

Kubernetes Security Act Now Before It’s Too LateMichael Furman

In today's cloud-native landscape, Kubernetes has become the de facto standard for orchestrating containerized applications, but its inherent complexity introduces unique security challenges. Are you one YAML away from disaster? This presentation, "Kubernetes Security: Act Now Before It’s Too Late," is your essential guide to understanding and mitigating the critical security risks within your Kubernetes environments. This presentation dives deep into the OWASP Kubernetes Top Ten, providing actionable insights to harden your clusters. We will cover: The fundamental architecture of Kubernetes and why its security is paramount. In-depth strategies for protecting your Kubernetes Control Plane, including kube-apiserver and etcd. Crucial best practices for securing your workloads and nodes, covering topics like privileged containers, root filesystem security, and the essential role of Pod Security Admission. Don't wait for a breach. Learn how to identify, prevent, and respond to Kubernetes security threats effectively. It's time to act now before it's too late!

“Addressing Evolving AI Model Challenges Through Memory and Storage,” a Prese...Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/addressing-evolving-ai-model-challenges-through-memory-and-storage-a-presentation-from-micron/ Wil Florentino, Senior Segment Marketing Manager at Micron, presents the “Addressing Evolving AI Model Challenges Through Memory and Storage” tutorial at the May 2025 Embedded Vision Summit. In the fast-changing world of artificial intelligence, the industry is deploying more AI compute at the edge. But the growing diversity and data footprint of transformers and models such as large language models and large multimodal models puts a spotlight on memory performance and data storage capacity as key bottlenecks. Enabling the full potential of AI in industries such as manufacturing, automotive, robotics and transportation will require us to find efficient ways to deploy this new generation of complex models. In this presentation, Florentino explores how memory and storage are responding to this need and solving complex issues in the AI market. He examines the storage capacity and memory bandwidth requirements of edge AI use cases ranging from tiny devices with severe cost and power constraints to edge servers, and he explains how new memory technologies such as LPDDR5, LPCAMM2 and multi-port SSDs are helping system developers to meet these challenges.

Reducing Conflicts and Increasing Safety Along the Cycling Networks of East-F...Safe Software

In partnership with the Belgian Province of East-Flanders this project aimed to reduce conflicts and increase safety along a cycling route between the cities of Oudenaarde and Ghent. To achieve this goal, the current cycling network data needed some extra key information, including: Speed limits for segments, Access restrictions for different users (pedestrians, cyclists, motor vehicles, etc.), Priority rules at intersections. Using a 360° camera and GPS mounted on a measuring bicycle, we collected images of traffic signs and ground markings along the cycling lanes building up mobile mapping data. Image recognition technologies identified the road signs, creating a dataset with their locations and codes. The data processing entailed three FME workspaces. These included identifying valid intersections with other networks (e.g., roads, railways), creating a topological network between segments and intersections and linking road signs to segments and intersections based on proximity and orientation. Additional features, such as speed zones, inheritance of speed and access to neighbouring segments were also implemented to further enhance the data. The final results were visualized in ArcGIS, enabling analysis for the end users. The project provided them with key insights, including statistics on accessible road segments, speed limits, and intersection priorities. These will make the cycling paths more safe and uniform, by reducing conflicts between users.

FME for Good: Integrating Multiple Data Sources with APIs to Support Local Ch...Safe Software

Have-a-skate-with-Bob (HASB-KC) is a local charity that holds two Hockey Tournaments every year to raise money in the fight against Pancreatic Cancer. The FME Form software is used to integrate and exchange data via API, between Google Forms, Google Sheets, Stripe payments, SmartWaiver, and the GoDaddy email marketing tools to build a grass-roots Customer Relationship Management (CRM) system for the charity. The CRM is used to communicate effectively and readily with the participants of the hockey events and most importantly the local area sponsors of the event. Communication consists of a BLOG used to inform participants of event details including, the ever-important team rosters. Funds raised by these events are used to support families in the local area to fight cancer and support PanCan research efforts to find a cure against this insidious disease. FME Form removes the tedium and error-prone manual ETL processes against these systems into 1 or 2 workbenches that put the data needed at the fingertips of the event organizers daily freeing them to work on outreach and marketing of the events in the community.

“Why It’s Critical to Have an Integrated Development Methodology for Edge AI,...Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/why-its-critical-to-have-an-integrated-development-methodology-for-edge-ai-a-presentation-from-lattice-semiconductor/ Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the “Why It’s Critical to Have an Integrated Development Methodology for Edge AI” tutorial at the May 2025 Embedded Vision Summit. The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings significant challenges that complicate development. These challenges can be addressed effectively by choosing the right solution and design methodology. The low-power FPGAs from Lattice are well poised to enable efficient edge implementation of models, while Lattice’s proven development methodology helps to mitigate the challenges and risks associated with edge model deployment. In this presentation, Hegade explains the importance of an integrated framework that tightly consolidates different aspects of edge AI development, including training, quantization of networks for edge deployment, integration with sensors and inferencing. He also illustrates how Lattice’s simplified tool flow helps to achieve the best trade-off between power, performance and efficiency using low-power FPGAs for edge deployment of various AI workloads.