# Event-Streaming

Event streaming is the continuous capture, storage, processing, and routing of data events in real time.

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## Data Engineering Weekly #287

DevFeed: [Data Engineering Weekly #287](<https://devfeed.tech/articles/data-engineering-weekly-287-18267.md>)

Original publisher: [Read original article](<https://www.dataengineeringweekly.com/p/data-engineering-weekly-287>)

Author: Ananth Packkildurai

Published: 2026-09-14T02:52:23Z

Content type: article

Language: en

Sources: [Data Engineering Weekly](<https://devfeed.tech/sources/data-engineering-weekly.md>)

Topics: [data-engineering](<https://devfeed.tech/topics/data-engineering.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [data observability](<https://devfeed.tech/topics/data-observability.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [Multi-tenancy](<https://devfeed.tech/topics/multi-tenancy.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [Library](<https://devfeed.tech/topics/library.md>), [Code](<https://devfeed.tech/topics/code.md>)

Tags: [architecture](<https://devfeed.tech/tags/architecture.md>), [architectures](<https://devfeed.tech/tags/architectures.md>), [data-engineering](<https://devfeed.tech/tags/data-engineering.md>), [data-quality](<https://devfeed.tech/tags/data-quality.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [multi-tenancy](<https://devfeed.tech/tags/multi-tenancy.md>), [object-storage](<https://devfeed.tech/tags/object-storage.md>), [observability](<https://devfeed.tech/tags/observability.md>), [openai](<https://devfeed.tech/tags/openai.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [vector](<https://devfeed.tech/tags/vector.md>)

### AI overview

Data Engineering Weekly #287 covers building data platforms from scratch, including composable architectures, data quality, and observability. It also previews talks on governed machine-executable ontologies for marketing activation and fair, order-preserving Kafka consumption for many tenants. The issue links to OpenAI's storage platform scaling for ChatGPT and Pinterest's embedding retrieval platform.

### Source excerpt

The Weekly Data Engineering Newsletter

## Where Kafka Fits in Modern Systems

DevFeed: [Where Kafka Fits in Modern Systems](<https://devfeed.tech/articles/where-kafka-fits-in-modern-systems-18029.md>)

Original publisher: [Read original article](<https://blog.levelupcoding.com/p/kafka-use-cases>)

Author: Nikki Siapno

Published: 2026-08-25T12:02:09Z

Content type: tutorial

Language: en

Sources: [Level Up Coding System Design Newsletter](<https://devfeed.tech/sources/level-up-coding-system-design-newsletter.md>)

Topics: [Kafka](<https://devfeed.tech/topics/kafka.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [systems](<https://devfeed.tech/topics/systems.md>), [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [architecture](<https://devfeed.tech/tags/architecture.md>), [consumer](<https://devfeed.tech/tags/consumer.md>), [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [durability](<https://devfeed.tech/tags/durability.md>), [event-streaming](<https://devfeed.tech/tags/event-streaming.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [parallelism](<https://devfeed.tech/tags/parallelism.md>), [partition](<https://devfeed.tech/tags/partition.md>), [pipelines](<https://devfeed.tech/tags/pipelines.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [systems](<https://devfeed.tech/tags/systems.md>)

### AI overview

This article explains when Apache Kafka is appropriate for distributed systems. It presents Kafka as a durable event log whose replayability, consumer fan-out, and partition-based parallelism support real-time data pipelines and shared event-driven architectures, while warning that Kafka can add unnecessary operational complexity for simpler asynchronous workflows.

### Source excerpt

When should you actually use Kafka? And when is it just unnecessary complexity?

## FIPS-ing the Un-FIPS-able: Apache Kafka

DevFeed: [FIPS-ing the Un-FIPS-able: Apache Kafka](<https://devfeed.tech/articles/fips-ing-the-un-fips-able-apache-kafka-13044.md>)

Original publisher: [Read original article](<https://www.chainguard.dev/unchained/fips-ing-the-un-fips-able-apache-kafka>)

Published: 2026-03-05T00:00:00Z

Content type: release

Language: en

Sources: [Chainguard: Unchained](<https://devfeed.tech/sources/chainguard-unchained.md>)

Topics: [Apache-Kafka](<https://devfeed.tech/topics/apache-kafka.md>), [chainguard](<https://devfeed.tech/topics/chainguard.md>), [Cryptography](<https://devfeed.tech/topics/cryptography.md>), [Security](<https://devfeed.tech/topics/security.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [TLS (Transport Layer Security)](<https://devfeed.tech/topics/tls.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [apache](<https://devfeed.tech/tags/apache.md>), [apache-kafka](<https://devfeed.tech/tags/apache-kafka.md>), [apache-kafka-fips](<https://devfeed.tech/tags/apache-kafka-fips.md>), [chainguard](<https://devfeed.tech/tags/chainguard.md>), [chainguard-containers](<https://devfeed.tech/tags/chainguard-containers.md>), [chainguard-images](<https://devfeed.tech/tags/chainguard-images.md>), [chainguard-kafka-container](<https://devfeed.tech/tags/chainguard-kafka-container.md>), [chainguard-kafka-image](<https://devfeed.tech/tags/chainguard-kafka-image.md>), [cryptography](<https://devfeed.tech/tags/cryptography.md>), [event-streaming](<https://devfeed.tech/tags/event-streaming.md>), [fips](<https://devfeed.tech/tags/fips.md>), [fips-140-3](<https://devfeed.tech/tags/fips-140-3.md>), [fips-containers](<https://devfeed.tech/tags/fips-containers.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [tls](<https://devfeed.tech/tags/tls.md>)

### AI overview

Chainguard announces FIPS-validated images for Apache Kafka, describing targeted source changes, validated cryptographic providers, TLS and keystore requirements, testing, and image maintenance for regulated environments.

### Source excerpt

Chainguard delivers the FIPS-validated Apache Kafka images, enabling secure event streaming for FedRAMP and regulated environments.

## The city of systems: Temporal, Kafka, and Nexus

DevFeed: [The city of systems: Temporal, Kafka, and Nexus](<https://devfeed.tech/articles/the-city-of-systems-temporal-kafka-and-nexus-35758.md>)

Original publisher: [Read original article](<https://temporal.io/blog/city-of-systems-temporal-kafka-nexus>)

Author: Tao Guo

Published: 2025-12-10T00:00:00Z

Content type: article

Language: en

Sources: [Temporal Blog](<https://devfeed.tech/sources/temporal-blog.md>)

Topics: [Kafka](<https://devfeed.tech/topics/kafka.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [distributed-systems](<https://devfeed.tech/topics/distributed-systems.md>)

Tags: [distributed-systems](<https://devfeed.tech/tags/distributed-systems.md>), [event-streaming](<https://devfeed.tech/tags/event-streaming.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [partitions](<https://devfeed.tech/tags/partitions.md>), [publisher](<https://devfeed.tech/tags/publisher.md>), [queues](<https://devfeed.tech/tags/queues.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [subscriber](<https://devfeed.tech/tags/subscriber.md>), [temporal-voices](<https://devfeed.tech/tags/temporal-voices.md>)

### AI overview

The article presents Temporal, Kafka, and Nexus as complementary building blocks for distributed systems. It explains Kafka's publisher-subscriber model, consumer groups, and partitions, while noting that its high-volume event broadcasting can be vulnerable to lost signals and stalled processing.

### Source excerpt

Temporal, Kafka, and Nexus create the blueprint for great distributed systems, balancing high-speed event streaming with guaranteed certainty.

## Migrating from NATS to Redpanda: Evolve from messaging to streaming

DevFeed: [Migrating from NATS to Redpanda: Evolve from messaging to streaming](<https://devfeed.tech/articles/migrating-from-nats-to-redpanda-evolve-from-messaging-to-streaming-12716.md>)

Original publisher: [Read original article](<https://www.redpanda.com/blog/migrate-nats-jetstream-messaging-to-streaming>)

Author: Kavya Shivashankar

Published: 2025-11-18T00:00:00Z

Content type: article

Language: en

Sources: [Redpanda](<https://devfeed.tech/sources/redpanda.md>)

Topics: [Messaging](<https://devfeed.tech/topics/messaging.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [jetstream](<https://devfeed.tech/topics/jetstream.md>), [event driven](<https://devfeed.tech/topics/event-driven.md>), [data-platforms](<https://devfeed.tech/topics/data-platforms.md>), [Microservice](<https://devfeed.tech/topics/microservice.md>), [Persistence](<https://devfeed.tech/topics/persistence.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [personalization](<https://devfeed.tech/topics/personalization.md>)

Tags: [database](<https://devfeed.tech/tags/database.md>), [event-driven](<https://devfeed.tech/tags/event-driven.md>), [event-streaming](<https://devfeed.tech/tags/event-streaming.md>), [jetstream](<https://devfeed.tech/tags/jetstream.md>), [latency](<https://devfeed.tech/tags/latency.md>), [messaging](<https://devfeed.tech/tags/messaging.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [persistence](<https://devfeed.tech/tags/persistence.md>), [personalization](<https://devfeed.tech/tags/personalization.md>), [pipelines](<https://devfeed.tech/tags/pipelines.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [streaming](<https://devfeed.tech/tags/streaming.md>)

### AI overview

This article explains how organizations can migrate from NATS and JetStream messaging to Redpanda Streaming as their systems grow from low-latency message delivery toward durable event streaming. It compares messaging and streaming requirements and presents Redpanda Connect as a way to simplify the migration.

### Source excerpt

Organizations are moving from message delivery to data streaming, unlocking new capabilities, insights, and improved business value. Here's how to do the same.

## Event streaming in OpenAPI 3.2: What changed and why it matters

DevFeed: [Event streaming in OpenAPI 3.2: What changed and why it matters](<https://devfeed.tech/articles/event-streaming-in-openapi-3-2-what-changed-and-why-it-matters-30956.md>)

Original publisher: [Read original article](<https://developerhub.io/blog/event-streaming-in-openapi-3-2-what-changed-and-why-it-matters/>)

Author: Zaid Daba'een

Published: 2025-10-06T08:47:55Z

Content type: tutorial

Language: en

Sources: [DeveloperHub.io](<https://devfeed.tech/sources/developerhub-io.md>)

Topics: [OpenAPI Specification](<https://devfeed.tech/topics/openapi.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [API](<https://devfeed.tech/topics/api.md>), [JSON](<https://devfeed.tech/topics/json.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [event-streaming](<https://devfeed.tech/tags/event-streaming.md>), [json](<https://devfeed.tech/tags/json.md>), [llms](<https://devfeed.tech/tags/llms.md>), [openapi](<https://devfeed.tech/tags/openapi.md>), [streaming](<https://devfeed.tech/tags/streaming.md>)

### AI overview

This tutorial explains how OpenAPI 3.2 describes event-streaming APIs using sequential media types and the itemSchema field to define each streamed event. It covers SSE, JSON Lines, JSON Sequences, and multipart responses, with examples for LLM token streaming and guidance on termination and event modeling.

### Source excerpt

OpenAPI 3.2 brings first-class event streaming with sequential media types and an itemSchema for each event. Document SSE or JSONL streams clearly--ideal for LLMs that stream tokens, optional summaries, and a deterministic "[DONE]" sentinel to end the stream.

## Redpanda 25.2: Advancing Iceberg integrations for the real-time lakehouse

DevFeed: [Redpanda 25.2: Advancing Iceberg integrations for the real-time lakehouse](<https://devfeed.tech/articles/redpanda-25-2-advancing-iceberg-integrations-for-the-real-time-lakehouse-12663.md>)

Original publisher: [Read original article](<https://www.redpanda.com/blog/25-2-advancing-iceberg-integration>)

Author: Matt Schumpert

Published: 2025-08-05T00:00:00Z

Content type: article

Language: en

Sources: [Redpanda](<https://devfeed.tech/sources/redpanda.md>)

Topics: [Apache Iceberg](<https://devfeed.tech/topics/apache-iceberg.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [AWS Glue](<https://devfeed.tech/topics/aws-glue.md>), [databricks](<https://devfeed.tech/topics/databricks.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [interoperability](<https://devfeed.tech/topics/interoperability.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [migration](<https://devfeed.tech/topics/migration.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [analytics](<https://devfeed.tech/tags/analytics.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [aws-glue](<https://devfeed.tech/tags/aws-glue.md>), [aws-glue-catalog-integration](<https://devfeed.tech/tags/aws-glue-catalog-integration.md>), [databricks](<https://devfeed.tech/tags/databricks.md>), [databricks-unity-catalog-integration](<https://devfeed.tech/tags/databricks-unity-catalog-integration.md>), [event-streaming](<https://devfeed.tech/tags/event-streaming.md>), [iceberg-capabilities](<https://devfeed.tech/tags/iceberg-capabilities.md>), [integration](<https://devfeed.tech/tags/integration.md>), [interoperability](<https://devfeed.tech/tags/interoperability.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [kafka-json-schema-mapping](<https://devfeed.tech/tags/kafka-json-schema-mapping.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [migration](<https://devfeed.tech/tags/migration.md>), [open-source-ai-connectors](<https://devfeed.tech/tags/open-source-ai-connectors.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [real-time-data-lakes](<https://devfeed.tech/tags/real-time-data-lakes.md>), [real-time-lakehouse-architecture](<https://devfeed.tech/tags/real-time-lakehouse-architecture.md>), [redpanda-25-2-release](<https://devfeed.tech/tags/redpanda-25-2-release.md>), [redpanda-iceberg-integration](<https://devfeed.tech/tags/redpanda-iceberg-integration.md>), [schema-registry-authorization](<https://devfeed.tech/tags/schema-registry-authorization.md>), [streaming-data-analytics](<https://devfeed.tech/tags/streaming-data-analytics.md>), [streaming-platform-updates](<https://devfeed.tech/tags/streaming-platform-updates.md>), [vendor-lock-in](<https://devfeed.tech/tags/vendor-lock-in.md>)

### AI overview

Redpanda 25.2 expands Iceberg integration for a real-time open lakehouse architecture. It adds integrations with Databricks Unity Catalog and AWS Glue Catalog, supports AWS Glue as an Iceberg REST Catalog for Redpanda Iceberg Topics, and expands schema support. The release also includes migration improvements from Confluent and Schema Registry Authorization updates, while emphasizing Kafka client compatibility, low-latency ingestion, open interoperability, and reduced vendor lock-in.

### Source excerpt

Check what's new in Redpanda 25.2 as we expand our Iceberg capabilities, delivering on the promise of a real-time open lakehouse architecture.

## Kafka for System Design Interviews

DevFeed: [Kafka for System Design Interviews](<https://devfeed.tech/articles/kafka-for-system-design-interviews-32314.md>)

Original publisher: [Read original article](<https://evanking1.medium.com/kafka-for-system-design-interviews-f031ac05d186?source=rss-9736778727ef------2>)

Author: Evan King

Published: 2024-07-01T03:18:09Z

Content type: tutorial

Language: en

Sources: [Evan King](<https://devfeed.tech/sources/evan-king.md>)

Topics: [Kafka](<https://devfeed.tech/topics/kafka.md>), [Apache-Kafka](<https://devfeed.tech/topics/apache-kafka.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [stream-processing](<https://devfeed.tech/topics/stream-processing.md>), [Scalability](<https://devfeed.tech/topics/scalability.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [apache-kafka](<https://devfeed.tech/tags/apache-kafka.md>), [distributed](<https://devfeed.tech/tags/distributed.md>), [durability](<https://devfeed.tech/tags/durability.md>), [google](<https://devfeed.tech/tags/google.md>), [high-performance](<https://devfeed.tech/tags/high-performance.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [meta](<https://devfeed.tech/tags/meta.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [scalability](<https://devfeed.tech/tags/scalability.md>), [stream-processing](<https://devfeed.tech/tags/stream-processing.md>), [system-design-interview](<https://devfeed.tech/tags/system-design-interview.md>)

### AI overview

A tutorial on Apache Kafka for system design interviews. It explains Kafka as an open-source distributed event streaming platform that can function as a message queue or stream processing system, then uses a real-time sports statistics example to discuss producers, consumers, scaling, and event ordering.

### Source excerpt

By the Co-founder of www.hellointerview.comIntro There is a good chance you've heard of Kafka. It's popular. In fact, according to their website, it's used by 80% of the Fortune 100. If it's good enough to help scale the largest companies in the world, it's probably good enough for your next system design interview. In fact, it's one of the top 5 technologies we see used in design interviews. Apache Kafka is an open-source distributed event streaming platform that can be used either as a message queue or as a stream processing system. Kafka excels in delivering high performance, scalability, and durability. It's engineered to handle vast volumes of data in real-time, ensuring that no message is ever lost and that each piece of data is processed as swiftly as possible. In this deep dive, we're going to take a top down approach. Starting with a zoomed out view of Kafka and progressing into more and more detail. If you know the basics, feel free to skip ahead to the more advanced sections. A Motivating Example It's the World Cup (my personal favorite competition). And we run a website that provides real-time statistics on the matches. Each time a goal is scored, a player is booked, or a substitution is made, we want to update our website with the latest information. Events are placed on a queue when they occur. We call the server or process responsible for putting these events on the queue the producer. Downstream, we have a server that reads events off the queue and updates the website. We call this the consumer. Now, imagine the World Cup expanded from just the top 48 teams to a hypothetical 1,000-team tournament, and all the games are now played at the same time. The number of events has increased significantly, and our single server hosting the queue is struggling to keep up. Similarly, our consumer feels like it has its mouth under a firehose and is crashing under the load. We need to scale the system by adding more servers to distribute our queue. But how do we e

## Pulsar Summit North America 2023: CFP Is Open Now!

DevFeed: [Pulsar Summit North America 2023: CFP Is Open Now!](<https://devfeed.tech/articles/pulsar-summit-north-america-2023-cfp-is-open-now-12753.md>)

Original publisher: [Read original article](<https://pulsar.apache.org/blog/2023/06/28/pulsar-summit-north-america-2023-cfp/>)

Author: tison

Published: 2023-06-28T00:00:00Z

Content type: news

Language: en

Sources: [Apache Pulsar Blog](<https://devfeed.tech/sources/apache-pulsar-blog.md>)

Topics: [Apache Pulsar](<https://devfeed.tech/topics/pulsar.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [Messaging](<https://devfeed.tech/topics/messaging.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [apache](<https://devfeed.tech/tags/apache.md>), [community](<https://devfeed.tech/tags/community.md>), [conference](<https://devfeed.tech/tags/conference.md>), [developers](<https://devfeed.tech/tags/developers.md>), [event](<https://devfeed.tech/tags/event.md>), [event-streaming](<https://devfeed.tech/tags/event-streaming.md>), [messaging](<https://devfeed.tech/tags/messaging.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [summit](<https://devfeed.tech/tags/summit.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

The article announces that Pulsar Summit North America 2023 will take place on October 25, 2023, and invites people to submit talks or offer sponsorship. The conference focuses on Apache Pulsar and the messaging and event-streaming community, with opportunities for knowledge sharing, training, and community participation.

### Source excerpt

We're excited to announce that Pulsar Summit North America 2023 will take place on Wednesday, October 25, 2023!

## Pulsar Virtual Summit Europe 2023: CFP Is Now Open!

DevFeed: [Pulsar Virtual Summit Europe 2023: CFP Is Now Open!](<https://devfeed.tech/articles/pulsar-virtual-summit-europe-2023-cfp-is-now-open-12743.md>)

Original publisher: [Read original article](<https://pulsar.apache.org/blog/2023/02/02/pulsar-virtual-summit-europe-2023-cfp/>)

Author: Karin Landers

Published: 2023-02-02T00:00:00Z

Content type: news

Language: en

Sources: [Apache Pulsar Blog](<https://devfeed.tech/sources/apache-pulsar-blog.md>)

Topics: [Apache Pulsar](<https://devfeed.tech/topics/pulsar.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [Messaging](<https://devfeed.tech/topics/messaging.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [announce](<https://devfeed.tech/tags/announce.md>), [conferences](<https://devfeed.tech/tags/conferences.md>), [contributors](<https://devfeed.tech/tags/contributors.md>), [developers](<https://devfeed.tech/tags/developers.md>), [europe](<https://devfeed.tech/tags/europe.md>), [event](<https://devfeed.tech/tags/event.md>), [event-streaming](<https://devfeed.tech/tags/event-streaming.md>), [messaging](<https://devfeed.tech/tags/messaging.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [sponsor](<https://devfeed.tech/tags/sponsor.md>), [summit](<https://devfeed.tech/tags/summit.md>), [talk](<https://devfeed.tech/tags/talk.md>)

### AI overview

Apache Pulsar announces that Pulsar Virtual Summit Europe 2023 will take place on May 23, 2023. The announcement invites participants to submit talks or offer sponsorship, with sessions focused on Pulsar, messaging, event streaming, use cases, operations, tools, techniques, technologies, and best practices.

### Source excerpt

We're excited to announce that Pulsar Virtual Summit Europe 2023 will take place on Tuesday, May 23rd, 2023! We welcome your participation to help make the event a success, by submitting a talk for the event or offering sponsorship. Learn more about Pulsar Summit and the opportunities available to speak and sponsor the summit below.

## Pulsar Summit Asia 2022: CFP Is Open Now!

DevFeed: [Pulsar Summit Asia 2022: CFP Is Open Now!](<https://devfeed.tech/articles/pulsar-summit-asia-2022-cfp-is-open-now-12727.md>)

Original publisher: [Read original article](<https://pulsar.apache.org/blog/2022/08/22/pulsar-summit-asia-2022-cfp/>)

Author: Sherlock Xu

Published: 2022-08-22T00:00:00Z

Content type: news

Language: en

Sources: [Apache Pulsar Blog](<https://devfeed.tech/sources/apache-pulsar-blog.md>)

Topics: [Apache Pulsar](<https://devfeed.tech/topics/pulsar.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [Messaging](<https://devfeed.tech/topics/messaging.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>)

Tags: [announcement](<https://devfeed.tech/tags/announcement.md>), [apache](<https://devfeed.tech/tags/apache.md>), [community](<https://devfeed.tech/tags/community.md>), [conference](<https://devfeed.tech/tags/conference.md>), [developers](<https://devfeed.tech/tags/developers.md>), [event](<https://devfeed.tech/tags/event.md>), [event-streaming](<https://devfeed.tech/tags/event-streaming.md>), [messaging](<https://devfeed.tech/tags/messaging.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [summit](<https://devfeed.tech/tags/summit.md>), [talk](<https://devfeed.tech/tags/talk.md>), [talks](<https://devfeed.tech/tags/talks.md>), [tutorials](<https://devfeed.tech/tags/tutorials.md>)

### AI overview

A call for papers is open for Pulsar Summit Asia 2022, a virtual conference focused on Apache Pulsar, messaging, and event streaming. The event seeks short session proposals covering use cases, operations, tools, techniques, the Pulsar ecosystem, technology deep dives, best practices, and case studies.

### Source excerpt

Pulsar Summit is the conference dedicated to Apache Pulsar, and the messaging and event streaming community. The conference gathers an international audience of developers, data architects, data scientists, Apache Pulsar committers and contributors, as well as the messaging and streaming community. Together, they share experiences, exchange ideas and knowledge, and receive hands-on training sessions led by Pulsar experts.

## Tiny Letter from Kafka

DevFeed: [Tiny Letter from Kafka](<https://devfeed.tech/articles/tiny-letter-from-kafka-2169.md>)

Original publisher: [Read original article](<https://developers.soundcloud.com/blog//tiny-letter-from-kafka>)

Published: 2021-10-13T00:00:00Z

Content type: article

Language: en

Sources: [SoundCloud Backstage Blog](<https://devfeed.tech/sources/soundcloud-backstage-blog.md>)

Topics: [Apache-Kafka](<https://devfeed.tech/topics/apache-kafka.md>), [Event-Streaming](<https://devfeed.tech/topics/event-streaming.md>), [Publish-subscribe pattern](<https://devfeed.tech/topics/pubsub.md>), [Messaging](<https://devfeed.tech/topics/messaging.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [apache-kafka](<https://devfeed.tech/tags/apache-kafka.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [article](<https://devfeed.tech/tags/article.md>), [distributed](<https://devfeed.tech/tags/distributed.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [event](<https://devfeed.tech/tags/event.md>), [event-streaming](<https://devfeed.tech/tags/event-streaming.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [messaging](<https://devfeed.tech/tags/messaging.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [streaming](<https://devfeed.tech/tags/streaming.md>)

### AI overview

This article introduces Apache Kafka as an open-source distributed event streaming and messaging platform. It explains the publish-subscribe messaging pattern and uses the story behind Kafka's name to illustrate the system's core flow, with a brief reference to how SoundCloud teams consume event data.

### Source excerpt

This article discusses the powerful design choice of Apache Kafka, "an open-source distributed event streaming platform," and gives a sneak...