Event-driven Utopia

High quality content on designing, building and operating asynchronous, event-driven application architectures with cloud-native technologies.

[Event-driven Utopia @EventUtopia]

In this post, @markhneedham discusses Building a DIY analytics stack with @apachekafka, Filebeat, Faust, @ApachePinot, and @apachesuperset

https://t.co/HPPX67iGiZ

[Event-driven Utopia @EventUtopia]

Building CQRS Views with Debezium, Kafka, Materialize, and Apache Pinot — Part 1

Building an incrementally updated materialized view that serves queries faster and scalable manner?

https://t.co/EauXS0lVPl

[Event-driven Utopia @EventUtopia]

Build a real-time data analytics pipeline with Airbyte, Kafka, and Pinot

#Kafka #Airbyte

https://t.co/LBViF2kInl

[Event-driven Utopia @EventUtopia]

Making Sense of Unbounded Data

A reference architecture for a real-time event processing system

#StreamProcessing #Kafka

https://t.co/sGUMCFCKY8

[Event-driven Utopia @EventUtopia]

How @upstash is making Kafka serverless?

Per-request pricing, Kafka API compatibility, and integration with serverless FaaS platforms make Upstash Kafka unique in the event streaming space.

https://t.co/NaZFfC7YxP

[Event-driven Utopia @EventUtopia]

Architecting a Kafka-centric Retail Analytics Platform — Part 3

https://t.co/gvVuV9U6zV

[Event-driven Utopia @EventUtopia]

How To Plan and Execute an Event-Driven API Project Within Your Organization?

How to leverage the API-first approach to plan and deliver an event-driven, asynchronous API project?

#AsyncAPI #API #EventDrivenAPI

https://t.co/KCl77wEEIG

[Event-driven Utopia @EventUtopia]

Architecting a Kafka-centric Retail Analytics Platform — Part 2

The layered architecture of the platform, types of data that exist in the retail domain, and how that should be ingested into Kafka using its ecosystem components.

https://t.co/t80E5k1NFG

[Event-driven Utopia @EventUtopia]

Architecting a Kafka-centric Retail Analytics Platform — Part 1

What is retail analytics and why does it matter to your business? How to build a Kafka-centric analytics platform that ingests and processes business data at scale?

https://t.co/aYV8vwpTQR

[Event-driven Utopia @EventUtopia]

Friends don’t let friends do dual writes!

Sending Reliable Event Notifications with Transactional Outbox Pattern.

#debezium #changedatacapture #outboxpattern

https://t.co/thBXZNH08t

[Event-driven Utopia @EventUtopia]

Managing Production-grade Asynchronous APIs

How you can utilize an API Management solution to manage asynchronous APIs at scale? What benefits you’ll gain?

#AsyncAPI #APIManagement #EdU

https://t.co/1xdNV5bLY3

[Event-driven Utopia @EventUtopia]

Understanding Materialized Views — 3: Stream-Table Joins with CDC

Join a stream with a lookup table to enrich the content and produce a materialized view. Then use Debezium to synchronize the lookup table with source data.

https://t.co/LprTnzJrom

[Event-driven Utopia @EventUtopia]

Understanding Materialized Views — Part 2

Leveraging stateful stream processing to maintain materialized views that are incrementally updated

https://t.co/WqBDHnY6zs

[Event-driven Utopia @EventUtopia]

Understanding Materialized Views — Part 1

Learn the fundamentals of materialized views, how they reduce the cost of reading queries, and what options they offer to synchronize with source data.

https://t.co/gzVPHW4acf

[Event-driven Utopia @EventUtopia]

Azure Service Bus Essentials — Message Settlement with Peek-Lock Mode

How does a consumer use the SDK client to complete, abandon, defer, or dead-letter a received message?

#azure

https://t.co/1PiqqMnCiy

[Event-driven Utopia @EventUtopia]

Drain a message queue faster with parallel consumers. This post explains how the Competing Consumers pattern can be used to implement that.
#EventUtopia

https://t.co/TaFtznKnNk

[Event-driven Utopia @EventUtopia]

Message Expiration Pattern Explained.

How can a sender indicate when a message should be considered stale and thus shouldn’t be processed?

https://t.co/pTAUoVgJAO

[Event-driven Utopia @EventUtopia]

Sending and Receiving Custom Events with AWS EventBridge Schema Registry.

How to use Schema Registry to define the format of events used in your custom applications

#AWS

https://t.co/5saRjYKx3v

[Event-driven Utopia @EventUtopia]

Building a Low-Latency Fitness Leaderboard with Apache Pinot.

Use Apache Pinot to ingest fitness band events from a Kafka topic and make them available for immediate querying from a leaderboard web app.

https://t.co/KgNs6jVjnE

[Event-driven Utopia @EventUtopia]

Building a Real-time Sales Dashboard with WebSockets and Quarkus.

A simple example to show how to use #WebSockets with #Quarkus

https://t.co/rJDnIQu5qf