1.
Confluent On Azure:
Why You Should Add Confluent to Your Azure
Toolkit
Israel Ekpo - @IzzyAcademy
Principal Cloud Solutions Architect
Microsoft Corporation
Alicia Moniz - @KafkaonAzure
Microsoft MVP, Solutions Architect
Confluent

2.
What we will be discussing today:
• Use Cases – Kafka on Azure
• Deployment Strategies & Integration scenarios
• Design Patterns
• Demo – Kafka Connect – Sink (Managed Connector Cosmos
DB)
• Demo – KSQL DB 5-8 min
• Reference Material
• How to get started? … Download the Trial!

3.
Poll – How would you rate your comfort with Kafka?
How would you rate your comfort with Kafka?
• 0 – I don’t know what Kafka is
• 1 – I know what Kafka is
• 2 – I’m a Kafka User
• 3 – I’m a Kafka Advocate!
Please enter responses into the chat!

4.
REAL-WORLD
EXAMPLES AND USE
CASES

5.
ARCHITECTURES

6.
HYBRID CLOUD

7.
HYBRID DESIGN PATTERNS
8
On-Prem + Multi-Cloud
● Connect between clouds
● Connect On-Prem to Cloud
● Connect Cloud to On-Prem
Throughput & Scaling
● Minimized latency is a requirement
● Dynamic scaling of compute to handle
‘bursting’
Managed Connectors
● 120+ Connectors
● Cloud native data sinks – AWS, Azure, GCP
One Data Pipeline
● Extend existing data to ANY cloud
● Sink existing data with ANY cloud
database

8.
APPLICATION MODERNIZATION

9.
APPLICATION MODERNIZATION
10
Multi-Cloud Native Application
Development
● Enable more than 1 cloud to have
simultaneous access to data sources
Developer Access via APIs
● Kafka APIs via Java, Python or .NET
DevOps
● Send seed data to multiple environments
Schema on Read
● Reduces impact of schema changes

10.
IOT + TELEMATICS

11.
IOT + TELEMATICS
12
Local Data Processing
● Edge Devices
Security
● Increased security and logging capabilities
Multiple Protocols
● MQTT Proxy
● Integrates with cloud IOT services
Transformation
● Easily Filter data
● Multiple streams from one source

12.
ADVANCED ANALYTICS

13.
ADVANCED ANALYTICS
14
Real-time Streaming
● Machine Learning & Cognitive Services
Spark Streaming APIs
● Python – Databricks, Anaconda
● Synapse Analytics
Managed Connectors
● Change Data Capture (CDC) capabilities
Data Availability
● Real-time Analysis
● Multi-cloud Analysis
● Minimize transformations

14.
Demo
Set up a Managed Connector :
Cosmos DB on Confluent Cloud
• Fully Managed - Azure Cosmos DB
Connector
• The Azure Cosmos DB connectors
allow moving data between Azure
Cosmos DB and Kafka. The Cosmos
DB Sink connector writes data from a
Kafka topic to a Cosmos DB container.
• The Cosmos DB Source connector
writes changes from a Cosmos DB
container to a Kafka topic.

15.
Resources
Events
Microsoft
Build
Kafka
Summit
Cosmos DB
Microsoft/Confluent
Collaborations
Learning Series

16.
Next Steps
Visit Github
confluentinc/
confluent-azure-examples
Sign Up for a trial
Confluent Cloud on
Azure Marketplace

17.
Thank you for attending!
Want more info? azureteam@confluent.io
Israel Ekpo - @IzzyAcademy
Principal Cloud Solutions Architect
Microsoft Corporation
Alicia Moniz - @KafkaonAzure
Microsoft MVP, Solutions Architect
Confluent
Next Steps:
Learn more about Confluent on Microsoft Docs Look for the Kakfa on Azure Learning Series
Join our Community: Slack or Forum.Confluent.io on Youtube!
Visit Github Repo:
confluentinc/confluent-azure-examples