A deep dive Webinar serie: Apache Kafka as a Service in GCP, Azure and AWS by Confluent focused on these main Confluent Kafka components

• Kafka in general,
• Connect,
• Schema Registry,
• Kafka Streams,
• CP Ansible,
• and Confluent Cloud

• Jan Svoboda
• Suvad Sahovic
• Carsten Mützlitz

• All industries, all titles

A webinar serie with 6 deep dive sessions

Based on real stories like price scraping, marketing channels in telegram, micro services platform and others we will explain how easy it is to work with Confluent Cloud. It is secure, reliable and very fast.

Structure of a session:

• Start with an overview - what to achieve
• Wrap-up of last session (if this is not the first session)
• Only a few slides
• We running live recording are available here
• Step-by-Step explanation based on the current use case
• Automatic script and explanation
• Wrap-up and what is coming next

• Confluent Cloud Service overview
  • Subscription types (direkt, marketplace)
  • create Cluster (UI, cli)
  • Monitoring / Compliance
    • Data flow
    • Schema Registry (JSON/AVRO/PROTOBUF)
    • Matric API Monitoring
  • Topics Management
    • Message Browser
    • Producer
    • Consumer
• Security Session:
  • User Management
  • ACL and service Account
  • RBAC in Confluent Cloud
  • Authentication and Authorization
    • Client Access
  • Audit Logs in der Confluent Cloud
  • SSO

• Fully managed connectors
  • DataGen Connector Users
  • Datagen Connector Pageviews
• Self-Managed connectors
  • RSS feed connector
  • Replicator (OnPrem -> CCloud -> OnPrem)

• Provision ksqlDB APP
  • generate Data
  • do analytics in a realtime on streams of events

How to access the Confluent Cloud and deal with different connectivities

• Internet Endpoints
• VPC/VNet Peering
• Private Link
• HA Proxy
• kafka-Proxy
• site-to-site VPN
• (Transit Gateway) Please use the PPT Deck, there are no labs prepared.

Let's build Java Springboot Microservices with Confluent Cloud

• CQRS pattern example
• Spring Cloud Streams library usage example with Kafka
• State Store for storing Microservice state and state recovery
• Microservices Decoupling and Microservices intercommunication
• Stateless and Stateful Microservices Scaling Up or Down

The last session of one of the most importan. What are the costs, benefits, things to know.

• Cost optimization (less traffic, storage)
  • compression
  • Avro/SR
  • batching
  • Automatic test, serverless Kafka (startup and shutdown)
• Infinite storage
• multi-tenancy (chargeBack: Throughput per Topics * price factor)
• Use of managed CP enterprise components with Confluent Cloud
• Fully-managed vs. Self-managed components
• TCO on-prem vs. Ccloud Please use the PPT Deck, there are no labs prepared.

To play around with these samples here, you need to have a Confluent Cloud account.