Big Ideas
KCP: How to Migrate to Confluent Cloud in Days, Not Weeks
Learn how to migrate to Confluent Cloud in hours using Confluent’s open source Kafka Copy Paste tool. Get an in-depth introduction to the KCP tool and a walk-through of the four steps of migrating from MSK to Confluent Cloud using the tool.
開発者向けAIツール提供開始 — ConfluentのMCPサーバーとAgent Skills
ConfluentのAI開発者向けツールが一般提供（GA）されました。これには、オープンソースのローカルMCP Server、マネージドのMCP Server、およびAgent Skillsが含まれます。これらを組み合わせることで、AIコーディングアシスタントはお客様のストリーミングプラットフォームに直接アクセスできるようになります。つまり、プラットフォーム上で処理を実行するためのツールと、正しく構築するためのドメイン知識が提供されました。
Confluent Intelligence の新機能：A2A、多変量解析による異常検知、Cosmos DB 向けベクトル検索、Amazon S3 Vectors など (1)
Confluent Intelligenceの新機能として、A2A連携、マルチ変量異常検知、Cosmos DBおよびS3 Vectors向けベクトル検索、Private Link、MCP対応が追加されました。
Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices
So far in this series, we have recognized that by going back to first principles, we have a new foundation to work with. Event-first thinking enables us to build a […]
SOA vs. EDA: Is Not Life Simply a Series of Events?
When should you use an API? When should you use an event? Most contemporary software architectures are some mix of these two approaches. I will attempt to articulate in layman’s […]
Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless
With serverless being all the rage, it brings with it a tidal change of innovation. Given that it is at a relatively early stage, developers are still trying to grok […]
Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture
Part 1 of our series on event-driven architecture discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares […]
Journey to Event Driven – Part 1: Why Event-First Programming Changes Everything
The world is changing. New problems need to be solved. Companies now run global businesses that span the globe and hop between clouds in real-time, breaking down data silos to […]
Event Driven 2.0
In the future, data will be as automated and self-service as infrastructure is today. You’ll open a console that lists the data available in your company; define the pieces you […]
Is Event Streaming the New Big Thing for Finance?
While Silicon Valley is always awash with new technology buzzwords, one that has become increasingly dominant in recent years is stream processing: a type of software designed to transport, process […]
Messaging as the Single Source of Truth
This post discusses Event Sourcing in the context of Apache Kafka®, examining the need for a single source of truth that spans entire service estates. Events are Truth One of […]
The Future of ETL Isn’t What It Used To Be
In his book Design Patterns Explained, Alan Shalloway compares his car to an umbrella. After all, he uses both to stay dry in the rain. The umbrella has an advantage […]
Build Services on a Backbone of Events
For many, microservices are built on a protocol of requests and responses. REST etc. This approach is very natural. It is after all the way we write programs: we make […]
Sharing is Caring: Multi-tenancy in Distributed Data Systems
Most people think that what’s exciting about distributed systems is the ability to support really big applications. When you read a blog about a new distributed database, it usually talks […]
The Value of Apache Kafka in Big Data Ecosystem
This is a repost of a recent article that I wrote for ODBMS. In the last few years, there has been significant growth in the adoption of Apache Kafka. Current […]