Resources

Join Mike Eisterer, Senior Solution Engineer, Push Technology as he shares a better approach for providing personalization using a proven event driven architecture, with the benefits of:

• Using event data distribution services to scale across massive concurrent bettors
• Using a rules-based declarative approach to prescriptively organize event data for downstream distribution
• Using role-based session rules to dynamically distribute event data based upon the customer’s tier, active promotions and location

What you will learn:

• Introduce the sample Flight Tracker App using live data feeds
• Look under the covers at the Diffusion Cloud platform using Event-Driven Architecture
• Provide an overview of Code structure on GitHub and ideas to enhance it

Today’s Pub-Sub applications often need to accommodate a tiered subscriber community. Users can exist on a spectrum of service levels starting at Free, to Budget and Premium users. In this webinar Peter will discuss mechanisms that Developers or Application Administrators are already using to deliver appropriate QoS.

What you will learn:

• Using a rule-based approach for applying QoS for event-driven application subscribers
• Accommodating application and network bandwidth constraints
• Using the Diffusion Pub-Sub platform capabilities for applying QoS rules

• Adding secure access and data governance
• Integrating 3rd party authentication
• How Diffusion negates OWASP-10 vulnerabilities
• Secure network communication (e.g. TLS v1.3)
• And more

• Integrate a live Stock Market Data feed into Kafka
• Add Diffusion® into the data pipeline for fine-grained distribution at scale
• Perform data transformation to suit the needs of clients that subscribe to the data

• Adopt event-driven architecture for your applications
• Model and process emergency information
• Use of Event Broker for efficient and real-time distribution of emergency data

• Overview Domain Specific Language (DSL) feature of Diffusion
• Data Wrangling using DSLs on Diffusion Management Console
• 5 Scenarios for adding new features to your application using DSL

• Diffusion Management console capabilities
• Monitoring your services using Prometheusus
• and more

• Using Event Driven Architecture for a typical Trading Application.
• Use of Event Broker for efficient distribution of Trading data.
• Use Diffusion Intelligent Event Data Platform in 2 trading scenarios (Market Data Feeds and Stock Trading)

• Publisher capabilities - Partial Update, Update Constraints, Session Locks etc.
• Topic Capabilities - Topic Properties, Fetch feature etc.
• and more

• Build a game clock feature using Diffusion
• Use the websocket based SDKs with delta-streaming capabilities
• Performance benefits of Diffusion based game clock solution