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Event-driven Utopia @EventUtopia

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

Joined December 2020
  • Tweets 36
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  • Followers 63
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In this post, @markhneedham discusses Building a DIY analytics stack with @apachekafka, Filebeat, Faust, @ApachePinot, and @apachesuperset medium.com/event-driven-utop…

Making sense of access logs with the Modern Streaming Stack

Building a DIY analytics stack with Apache Kafka, Faust, Apache Pinot, and Superset

medium.com
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? medium.com/event-driven-utop…
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Build a real-time data analytics pipeline with Airbyte, Kafka, and Pinot #Kafka #Airbyte medium.com/event-driven-utop…

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

Learn how to use Airbyte, Kafka, and Pinot to build a data pipeline for a user-facing analytics dashboard.

medium.com
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Making Sense of Unbounded Data A reference architecture for a real-time event processing system #StreamProcessing #Kafka medium.com/event-driven-utop…

Making Sense of Unbounded Data

A reference architecture for a real-time event processing system

medium.com
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. medium.com/event-driven-utop…

Build Serverless Streaming Architectures with Upstash Kafka

How Upstash Kafka is making event streaming serverless while being compatible with Kafka APIs?

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Architecting a Kafka-centric Retail Analytics Platform — Part 3 medium.com/event-driven-utop…

Architecting a Kafka-centric Retail Analytics Platform — Part 3

What are the different real-time processing methods available to uncover insights from the data ingested into Kafka?

medium.com
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 medium.com/event-driven-utop…

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?

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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. medium.com/event-driven-utop…

Architecting a Kafka-centric Retail Analytics Platform — Part 2

The layered architecture of the platform, what types of data exist in the retail domain, and how that should be ingested into Kafka using…

medium.com
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? medium.com/event-driven-utop…

Architecting a Kafka-native Retail Analytics Platform — Part 1

What is retail analytics and why it matters to your business? How to build Kafka-centric analytics platform that ingests and processes…

medium.com
Friends don’t let friends do dual writes! Sending Reliable Event Notifications with Transactional Outbox Pattern. #debezium #changedatacapture #outboxpattern medium.com/event-driven-utop…

Sending Reliable Event Notifications with Transactional Outbox Pattern

Friends don’t let friends do dual writes!

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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 medium.com/event-driven-utop…

Managing Production-grade Asynchronous APIs

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

medium.com
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. medium.com/event-driven-utop…

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 synchronise the lookup table…

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Understanding Materialized Views — Part 2 Leveraging stateful stream processing to maintain materialized views that are incrementally updated medium.com/event-driven-utop…

Understanding Materialized Views — Part 2

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

medium.com
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. medium.com/event-driven-utop…

Understanding Materialized Views

Learn the fundamentals of materialized views, how they reduce the cost of read queries, and what options they offer to synchronise with…

medium.com
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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 medium.com/event-driven-utop…

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?

medium.com
Event-driven Utopia retweeted
Event-driven Utopia@EventUtopia
7 Jan 2021
Drain a message queue faster with parallel consumers. This post explains how the Competing Consumers pattern can be used to implement that. #EventUtopia link.medium.com/VghY5dYaRcb

Competing Consumers Pattern Explained

The Competing Consumers pattern enables multiple concurrent consumers to process messages received on the same messaging channel.

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Message Expiration Pattern Explained. How can a sender indicate when a message should be considered stale and thus shouldn’t be processed? medium.com/event-driven-utop…

Message Expiration Pattern Explained

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

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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 medium.com/event-driven-utop…

Sending and Receiving Custom Events with AWS EventBridge Schema Registry

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

medium.com
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. medium.com/event-driven-utop…

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…

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Building a Real-time Sales Dashboard with WebSockets and Quarkus. A simple example to show how to use #WebSockets with #Quarkus medium.com/event-driven-utop…

Building a Real-time Sales Dashboard with WebSockets and Quarkus

A simple example to show how to use WebSockets with Quarkus

medium.com
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