# Confluent Cloud

Confluent Cloud is a fully managed, cloud-native Apache Kafka data streaming platform with elastic scaling, stream processing, security, governance, APIs, and developer tools.

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## KCP: How to Migrate to Confluent Cloud in Days, Not Weeks

DevFeed: [KCP: How to Migrate to Confluent Cloud in Days, Not Weeks](<https://devfeed.tech/articles/kcp-how-to-migrate-to-confluent-cloud-in-days-not-weeks-26723.md>)

Original publisher: [Read original article](<https://www.confluent.io/blog/automate-kafka-migration-with-kcp/>)

Author: Ahmed Saef Zamzam

Published: 2026-09-14T07:00:00Z

Content type: tutorial

Language: en

Sources: [Confluent: Data in motion](<https://devfeed.tech/sources/confluent-data-in-motion.md>)

Topics: [Kafka](<https://devfeed.tech/topics/kafka.md>), [migration](<https://devfeed.tech/topics/migration.md>), [Confluent Cloud](<https://devfeed.tech/topics/confluent-cloud.md>), [Replication](<https://devfeed.tech/topics/replication.md>), [Infrastructure as code](<https://devfeed.tech/topics/infrastructure-as-code.md>), [Provisioning](<https://devfeed.tech/topics/provisioning.md>), [Access Control](<https://devfeed.tech/topics/access-control.md>), [Structured-data](<https://devfeed.tech/topics/structured-data.md>)

Tags: [access-control](<https://devfeed.tech/tags/access-control.md>), [confluent](<https://devfeed.tech/tags/confluent.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [data-replication](<https://devfeed.tech/tags/data-replication.md>), [infrastructure-as-code-iac](<https://devfeed.tech/tags/infrastructure-as-code-iac.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [migration](<https://devfeed.tech/tags/migration.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [provisioning](<https://devfeed.tech/tags/provisioning.md>), [replication](<https://devfeed.tech/tags/replication.md>), [schema](<https://devfeed.tech/tags/schema.md>)

### AI overview

The article explains how Confluent's open source KCP tool automates migration from Amazon MSK to Confluent Cloud. KCP supports discovery, infrastructure provisioning, ACL and schema mapping, and migration, while Cluster Linking provides offset-preserving data replication. Support for self-managed Kafka migrations is described as coming soon.

### Source excerpt

Use Kafka Copy Paste (KCP) to automate Kafka migration with infrastructure generation, ACL and schema mapping, and offset-preserving data replication.

## Hemut: Building the Internet of Freight on Real-Time Data

DevFeed: [Hemut: Building the Internet of Freight on Real-Time Data](<https://devfeed.tech/articles/hemut-building-the-internet-of-freight-on-real-time-data-11551.md>)

Original publisher: [Read original article](<https://www.confluent.io/blog/hemut-building-the-internet-of-freight-on-real-time-data/>)

Author: Tim Graczewski

Published: 2026-08-27T20:23:15Z

Content type: article

Language: en

Sources: [Confluent: Data in motion](<https://devfeed.tech/sources/confluent-data-in-motion.md>)

Topics: [data](<https://devfeed.tech/topics/data.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Confluent Cloud](<https://devfeed.tech/topics/confluent-cloud.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Network](<https://devfeed.tech/topics/network.md>), [Software](<https://devfeed.tech/topics/software.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Operating system](<https://devfeed.tech/topics/operating-system.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [2026](<https://devfeed.tech/tags/2026.md>), [ai](<https://devfeed.tech/tags/ai.md>), [business](<https://devfeed.tech/tags/business.md>), [ceo](<https://devfeed.tech/tags/ceo.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [confluent](<https://devfeed.tech/tags/confluent.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [cost](<https://devfeed.tech/tags/cost.md>), [data](<https://devfeed.tech/tags/data.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [erp](<https://devfeed.tech/tags/erp.md>), [network](<https://devfeed.tech/tags/network.md>), [production](<https://devfeed.tech/tags/production.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [real-time-data-streaming](<https://devfeed.tech/tags/real-time-data-streaming.md>), [software](<https://devfeed.tech/tags/software.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [supply-chain](<https://devfeed.tech/tags/supply-chain.md>), [work](<https://devfeed.tech/tags/work.md>)

### AI overview

Hemut uses Confluent Cloud and real-time data streaming to provide an AI-native operating system for trucking carriers and brokers. Its platform combines ERP and TMS capabilities to automate tasks, improve fleet efficiency, reduce operating costs, and support the company's vision of an Internet of Freight.

### Source excerpt

Hemut uses Confluent, real-time data streaming, and AI to automate trucking operations, improve fleet efficiency, and build the Internet of Freight.

## Push-button migration from Confluent to Redpanda with Shadowing

DevFeed: [Push-button migration from Confluent to Redpanda with Shadowing](<https://devfeed.tech/articles/push-button-migration-from-confluent-to-redpanda-with-shadowing-12715.md>)

Original publisher: [Read original article](<https://www.redpanda.com/blog/migrate-confluent-redpanda-shadowing>)

Author: Trevor Blackford

Published: 2026-08-25T00:00:00Z

Content type: article

Language: en

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

Topics: [migration](<https://devfeed.tech/topics/migration.md>), [Replication](<https://devfeed.tech/topics/replication.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [Confluent Cloud](<https://devfeed.tech/topics/confluent-cloud.md>), [Confluent Platform](<https://devfeed.tech/topics/confluent-platform.md>), [Disaster Recovery](<https://devfeed.tech/topics/disaster-recovery.md>), [Usability](<https://devfeed.tech/topics/usability.md>)

Tags: [big-bang](<https://devfeed.tech/tags/big-bang.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [confluent-platform](<https://devfeed.tech/tags/confluent-platform.md>), [data-centers](<https://devfeed.tech/tags/data-centers.md>), [disaster-recovery](<https://devfeed.tech/tags/disaster-recovery.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [migration](<https://devfeed.tech/tags/migration.md>), [replication](<https://devfeed.tech/tags/replication.md>), [schema](<https://devfeed.tech/tags/schema.md>)

### AI overview

The article presents Redpanda Shadowing 26.2 as a low-risk migration path from Confluent Cloud, Confluent Platform, or other Apache Kafka-compatible clusters. It replicates topic data, schemas, offsets, and ACLs while preserving offsets, allowing teams to validate workloads and move applications individually instead of using a big-bang cutover.

### Source excerpt

Migrate off Confluent without the "big cutover weekend." Redpanda Shadowing carries topic data, schemas, offsets, and ACLs on a single link. Available on Self-Managed , BYOC, and Dedicated.

## Confluent Cloud for Apache Flink: Engine for Mission-Critical, Real-Time Operational Systems and dbt/SQL-Native Home for Data Science and AI

DevFeed: [Confluent Cloud for Apache Flink: Engine for Mission-Critical, Real-Time Operational Systems and dbt/SQL-Native Home for Data Science and AI](<https://devfeed.tech/articles/confluent-cloud-for-apache-flink-engine-for-mission-critical-real-time-operational-systems-and-dbt-sql-native-home-for-data-science-and-ai-11550.md>)

Original publisher: [Read original article](<https://www.confluent.io/blog/flink-mission-critical-operations-data-engg/>)

Author: Yashwanth Dasari

Published: 2026-08-18T02:20:00Z

Content type: release

Language: en

Sources: [Confluent: Data in motion](<https://devfeed.tech/sources/confluent-data-in-motion.md>)

Topics: [Confluent Cloud](<https://devfeed.tech/topics/confluent-cloud.md>), [apache-flink](<https://devfeed.tech/topics/apache-flink.md>), [stream-processing](<https://devfeed.tech/topics/stream-processing.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [announcement](<https://devfeed.tech/tags/announcement.md>), [apache-flink](<https://devfeed.tech/tags/apache-flink.md>), [api](<https://devfeed.tech/tags/api.md>), [batch](<https://devfeed.tech/tags/batch.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [developers](<https://devfeed.tech/tags/developers.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [real-time](<https://devfeed.tech/tags/real-time.md>)

### AI overview

Confluent announces an evolution of Confluent Cloud for Apache Flink that unifies mission-critical real-time operations with analytics and AI workflows. The release adds a serverless, co-designed Kafka and Flink platform, including the generally available Flink Table API in Java for code-first development.

### Source excerpt

Flink now acts as a robust engine for developers through Table API, UDFs, and PTFs while offering a SQL-native, dbt-integrated platform for data science and AI teams.

## Tableflow: Turn Kafka Topics into Iceberg Tables

DevFeed: [Tableflow: Turn Kafka Topics into Iceberg Tables](<https://devfeed.tech/articles/tableflow-turn-kafka-topics-into-iceberg-tables-11555.md>)

Original publisher: [Read original article](<https://www.confluent.io/blog/tableflow-kafka-iceberg/>)

Author: Mohtasham Sayeed Mohiuddin

Published: 2026-07-10T15:36:14Z

Content type: tutorial

Language: en

Sources: [Confluent: Data in motion](<https://devfeed.tech/sources/confluent-data-in-motion.md>)

Topics: [Apache Iceberg](<https://devfeed.tech/topics/apache-iceberg.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [schema-evolution](<https://devfeed.tech/topics/schema-evolution.md>), [Confluent Cloud](<https://devfeed.tech/topics/confluent-cloud.md>), [parquet](<https://devfeed.tech/topics/parquet.md>), [Amazon S3](<https://devfeed.tech/topics/amazon-s3.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [AWS Glue](<https://devfeed.tech/topics/aws-glue.md>), [Amazon Redshift](<https://devfeed.tech/topics/amazon-redshift.md>), [BigQuery](<https://devfeed.tech/topics/bigquery.md>)

Tags: [amazon-redshift](<https://devfeed.tech/tags/amazon-redshift.md>), [amazon-s3](<https://devfeed.tech/tags/amazon-s3.md>), [apache-iceberg](<https://devfeed.tech/tags/apache-iceberg.md>), [aws-glue](<https://devfeed.tech/tags/aws-glue.md>), [bigquery](<https://devfeed.tech/tags/bigquery.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [parquet](<https://devfeed.tech/tags/parquet.md>), [schema-evolution](<https://devfeed.tech/tags/schema-evolution.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [technologies](<https://devfeed.tech/tags/technologies.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

### AI overview

This tutorial explains how Confluent Cloud Tableflow continuously materializes Apache Kafka topics as Apache Iceberg or Delta Lake tables. It covers automatic schema handling, type conversion, schema evolution, Parquet conversion, catalog publishing, and table maintenance for querying streaming data with analytics engines and warehouses.

### Source excerpt

Learn how Confluent Tableflow turns Kafka topics into Iceberg tables for zero-ETL analytics with automatic schema evolution and open catalog access.

## Achieving $2.25 million in savings: ROI analysis of migrating to Temporal Cloud

DevFeed: [Achieving $2.25 million in savings: ROI analysis of migrating to Temporal Cloud](<https://devfeed.tech/articles/achieving-2-25-million-in-savings-roi-analysis-of-migrating-to-temporal-cloud-35699.md>)

Original publisher: [Read original article](<https://temporal.io/blog/achieving-usd2-25-million-in-savings-roi-analysis-of-migrating-to-temporal>)

Author: Mason Egger

Published: 2024-12-12T10:22:00Z

Content type: comparison

Language: en

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

Topics: [maintenance](<https://devfeed.tech/topics/maintenance.md>), [Scalability](<https://devfeed.tech/topics/scalability.md>), [reliability](<https://devfeed.tech/topics/reliability.md>), [Confluent Cloud](<https://devfeed.tech/topics/confluent-cloud.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>)

Tags: [cloud](<https://devfeed.tech/tags/cloud.md>), [confluent](<https://devfeed.tech/tags/confluent.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [cost](<https://devfeed.tech/tags/cost.md>), [cost-savings](<https://devfeed.tech/tags/cost-savings.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [maintenance](<https://devfeed.tech/tags/maintenance.md>), [reliability](<https://devfeed.tech/tags/reliability.md>), [scalability](<https://devfeed.tech/tags/scalability.md>)

### AI overview

This ROI report compares a client's homegrown Inventory Management System with Temporal Cloud. Based on a single client and estimates for a typical large customer, it projects $2.25 million in annual savings across infrastructure, maintenance and incident management, and human capital costs. It also describes potential improvements in system stability, scalability, feature development, and data accuracy.

### Source excerpt

Discover how Temporal Cloud saves $2.25M annually by cutting infrastructure, maintenance, and labor costs while boosting scalability and reliability.

## A practical guide to real-time CDC with MySQL

DevFeed: [A practical guide to real-time CDC with MySQL](<https://devfeed.tech/articles/a-practical-guide-to-real-time-cdc-with-mysql-18570.md>)

Original publisher: [Read original article](<https://www.tinybird.co/blog/mysql-cdc>)

Author: Jim Moffitt

Published: 2023-08-23T00:00:00Z

Content type: tutorial

Language: en

Sources: [Tinybird](<https://devfeed.tech/sources/tinybird.md>)

Topics: [MySQL](<https://devfeed.tech/topics/mysql.md>), [Confluent Cloud](<https://devfeed.tech/topics/confluent-cloud.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [data](<https://devfeed.tech/tags/data.md>), [guide](<https://devfeed.tech/tags/guide.md>), [mysql](<https://devfeed.tech/tags/mysql.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [the-data-base](<https://devfeed.tech/tags/the-data-base.md>)

### AI overview

A step-by-step guide to setting up Change Data Capture with MySQL, Confluent Cloud, and Tinybird.

### Source excerpt

A step-by-step guide to setting up Change Data Capture (CDC) with MySQL, Confluent Cloud, and Tinybird.

## A practical guide to real-time CDC with Postgres

DevFeed: [A practical guide to real-time CDC with Postgres](<https://devfeed.tech/articles/a-practical-guide-to-real-time-cdc-with-postgres-18599.md>)

Original publisher: [Read original article](<https://www.tinybird.co/blog/postgres-cdc>)

Author: Jim Moffitt

Published: 2023-08-17T00:00:00Z

Content type: tutorial

Language: en

Sources: [Tinybird](<https://devfeed.tech/sources/tinybird.md>)

Topics: [PostgreSQL](<https://devfeed.tech/topics/postgresql.md>), [Confluent Cloud](<https://devfeed.tech/topics/confluent-cloud.md>), [real-time](<https://devfeed.tech/topics/real-time.md>)

Tags: [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [guide](<https://devfeed.tech/tags/guide.md>), [postgres](<https://devfeed.tech/tags/postgres.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [the-data-base](<https://devfeed.tech/tags/the-data-base.md>)

### AI overview

A step-by-step guide to setting up real-time Change Data Capture with PostgreSQL, Confluent Cloud, and Tinybird.

### Source excerpt

A step-by-step guide to setting up Change Data Capture (CDC) with PostgreSQL, Confluent Cloud, and Tinybird.

## A practical guide to real-time CDC with MongoDB

DevFeed: [A practical guide to real-time CDC with MongoDB](<https://devfeed.tech/articles/a-practical-guide-to-real-time-cdc-with-mongodb-18566.md>)

Original publisher: [Read original article](<https://www.tinybird.co/blog/mongodb-cdc>)

Author: Joe Karlsson

Published: 2023-08-15T00:00:00Z

Content type: tutorial

Language: en

Sources: [Tinybird](<https://devfeed.tech/sources/tinybird.md>)

Topics: [MongoDB](<https://devfeed.tech/topics/mongodb.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Confluent Cloud](<https://devfeed.tech/topics/confluent-cloud.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>)

Tags: [atlas](<https://devfeed.tech/tags/atlas.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [guide](<https://devfeed.tech/tags/guide.md>), [i-built-this](<https://devfeed.tech/tags/i-built-this.md>), [mongodb](<https://devfeed.tech/tags/mongodb.md>), [real-time](<https://devfeed.tech/tags/real-time.md>)

### AI overview

A step-by-step guide to setting up Change Data Capture with MongoDB Atlas, Confluent Cloud, and Tinybird.

### Source excerpt

A step-by-step guide to setting up Change Data Capture (CDC) with MongoDB Atlas, Confluent Cloud, and Tinybird.

## Kafka, KRaft and Storage Tiers

DevFeed: [Kafka, KRaft and Storage Tiers](<https://devfeed.tech/articles/kafka-kraft-and-storage-tiers-39619.md>)

Original publisher: [Read original article](<https://www.gauravsarma.com/posts/2022-05-21_Kafka--KRaft-and-Storage-Tiers-b28850c4303a>)

Published: 2022-05-21T00:00:00Z

Content type: article

Language: en

Sources: [Gaurav Sarma's Blog](<https://devfeed.tech/sources/gaurav-sarma-s-blog.md>)

Topics: [Kafka](<https://devfeed.tech/topics/kafka.md>), [Replication](<https://devfeed.tech/topics/replication.md>), [Amazon Web Services](<https://devfeed.tech/topics/aws.md>), [Confluent Cloud](<https://devfeed.tech/topics/confluent-cloud.md>)

Tags: [aws](<https://devfeed.tech/tags/aws.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [partitions](<https://devfeed.tech/tags/partitions.md>), [replication](<https://devfeed.tech/tags/replication.md>), [zookeeper](<https://devfeed.tech/tags/zookeeper.md>)

### AI overview

The article examines partition limits in managed Kafka services and explains how Kafka metadata is handled across controller nodes and ZooKeeper. It also covers partition parallelism, consumer assignment, replication, leader replicas, and the synchronization overhead and race conditions associated with the current system.

### Source excerpt

I was recently looking at a managed Kafka service and came across services like AWS MSK and Kafka on Confluent Cloud. While comparing these services, I saw that there were limitations on the number of partitions allowed in a cluster...