# Confluent Cloud

Published articles for Confluent Cloud.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## How Confluent Uses Third-Party Risk Assessments to Support Vendor Due Diligence

DevFeed: [How Confluent Uses Third-Party Risk Assessments to Support Vendor Due Diligence](<https://devfeed.tech/articles/third-party-risk-assessments-how-confluent-helps-you-move-faster-with-confidence-26724.md>)

Original publisher: [Read original article](<https://www.confluent.io/blog/third-party-risk-assessments-or-how-confluent-helps-you-move-faster-with-confidence/>)

Author: Bethany Carter

Published: 2026-09-15T16:40:06Z

Content type: article

Language: en

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

Topics: [Security](<https://devfeed.tech/topics/security.md>), [Business Security](<https://devfeed.tech/topics/business-security.md>), [vulnerability management](<https://devfeed.tech/topics/vulnerability-management.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>)

Tags: [apra](<https://devfeed.tech/tags/apra.md>), [automated](<https://devfeed.tech/tags/automated.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [compliance](<https://devfeed.tech/tags/compliance.md>), [confluent](<https://devfeed.tech/tags/confluent.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [data-protection](<https://devfeed.tech/tags/data-protection.md>), [gdpr](<https://devfeed.tech/tags/gdpr.md>), [identity](<https://devfeed.tech/tags/identity.md>), [iso](<https://devfeed.tech/tags/iso.md>), [nist](<https://devfeed.tech/tags/nist.md>), [security](<https://devfeed.tech/tags/security.md>), [standards](<https://devfeed.tech/tags/standards.md>), [third-party](<https://devfeed.tech/tags/third-party.md>), [trust-center](<https://devfeed.tech/tags/trust-center.md>), [vulnerability-management](<https://devfeed.tech/tags/vulnerability-management.md>)

### AI overview

Confluent explains how its Trust Center provides third-party risk assessment reports to support vendor security, resilience, compliance, procurement, and customer due diligence. The article describes assessments including ProcessUnity Global Risk Exchange and control mapping to customer frameworks.

### Source excerpt

Confluent's Trust Center simplifies vendor risk reviews with CyberGRX, CyberVadis, SIG, CAIQ, and TruSight/KY3P assessments.

## 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.

## Building an Agentic SOC on a Stream

DevFeed: [Building an Agentic SOC on a Stream](<https://devfeed.tech/articles/building-an-agentic-soc-on-a-stream-11549.md>)

Original publisher: [Read original article](<https://www.confluent.io/blog/building-an-agentic-soc-on-a-stream/>)

Author: Pavel Lineitsev

Published: 2026-09-10T19:19:05Z

Content type: article

Language: en

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

Topics: [Agentic SOC](<https://devfeed.tech/topics/agentic-soc.md>), [SOC](<https://devfeed.tech/topics/soc.md>), [Security](<https://devfeed.tech/topics/security.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Automation](<https://devfeed.tech/topics/automation.md>), [data loss prevention](<https://devfeed.tech/topics/data-loss-prevention.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-soc](<https://devfeed.tech/tags/agentic-soc.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [automation](<https://devfeed.tech/tags/automation.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [data-loss-prevention](<https://devfeed.tech/tags/data-loss-prevention.md>), [security](<https://devfeed.tech/tags/security.md>), [security-tools](<https://devfeed.tech/tags/security-tools.md>), [soc](<https://devfeed.tech/tags/soc.md>), [streaming](<https://devfeed.tech/tags/streaming.md>)

### AI overview

This article describes an Agentic SOC that uses AI agents and a continuous streaming architecture to investigate security alerts. Its pipeline combines central triage, specialized evidence agents, adversarial evaluation, and a self-learning knowledge base to analyze every alert, escalate higher-value cases, and surface true positives for analyst review. The approach is intended to address the backlog of low-priority alerts, including Data Loss Prevention alerts, whose volume makes manual investigation impractical.

### Source excerpt

Discover how our security team built an automated multi-agent investigation pipeline that scaled alert triage throughput using a continuous streaming architecture.

## 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.

## New in Confluent Cloud and WarpStream: Evolving the Data Streaming Platform for AI, Scale, and Control

DevFeed: [New in Confluent Cloud and WarpStream: Evolving the Data Streaming Platform for AI, Scale, and Control](<https://devfeed.tech/articles/new-in-confluent-cloud-and-warpstream-evolving-the-data-streaming-platform-for-ai-scale-and-control-11546.md>)

Original publisher: [Read original article](<https://www.confluent.io/blog/2026-q3-confluent-cloud-launch/>)

Author: Mike Agnich

Published: 2026-08-18T14:00:11Z

Content type: article

Language: en

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

Topics: [Streaming](<https://devfeed.tech/topics/streaming.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [event driven](<https://devfeed.tech/topics/event-driven.md>), [Transactions](<https://devfeed.tech/topics/transactions.md>)

Tags: [confluent](<https://devfeed.tech/tags/confluent.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [debug](<https://devfeed.tech/tags/debug.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [networking](<https://devfeed.tech/tags/networking.md>), [security](<https://devfeed.tech/tags/security.md>), [stream-processing](<https://devfeed.tech/tags/stream-processing.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [transactions](<https://devfeed.tech/tags/transactions.md>)

### AI overview

Confluent describes more than 70 new features for its data streaming platform, including new connectors, networking improvements, AI capabilities for event-driven agents, real-time machine learning in streaming pipelines, and AI-assisted development tools. The article also discusses broader Kafka workload support, including stream processing, transactions, exactly-once processing, queues, debugging, and Python client support for Queues for Kafka.

### Source excerpt

Accelerate enterprise streaming and AI workloads with new product updates across Kora, connectors, Flink, Tableflow, AI anomaly detection and forecasting, security enhancements, and Warpstream.

## New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot

DevFeed: [New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot](<https://devfeed.tech/articles/new-in-confluent-intelligence-and-ai-tools-making-agents-native-to-the-stream-expanded-model-support-new-agent-skills-and-copilot-11547.md>)

Original publisher: [Read original article](<https://www.confluent.io/blog/2026-q3-confluent-intelligence-ai-update/>)

Author: Confluent Staff

Published: 2026-08-18T14:00:10Z

Content type: article

Language: en

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

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [apache-flink](<https://devfeed.tech/topics/apache-flink.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [streaming-data-processing](<https://devfeed.tech/topics/streaming-data-processing.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [Agent Skills](<https://devfeed.tech/topics/agent-skills.md>), [MCP](<https://devfeed.tech/topics/mcp.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Google](<https://devfeed.tech/topics/google.md>), [ibm](<https://devfeed.tech/topics/ibm.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-ready-data](<https://devfeed.tech/tags/ai-ready-data.md>), [ai-tools](<https://devfeed.tech/tags/ai-tools.md>), [apache-flink](<https://devfeed.tech/tags/apache-flink.md>), [confluent](<https://devfeed.tech/tags/confluent.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [google](<https://devfeed.tech/tags/google.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [skills](<https://devfeed.tech/tags/skills.md>), [streaming-data-processing](<https://devfeed.tech/tags/streaming-data-processing.md>), [support](<https://devfeed.tech/tags/support.md>), [tools](<https://devfeed.tech/tags/tools.md>)

### AI overview

Confluent announces updates to Confluent Intelligence and related AI tools for building production AI systems on Apache Kafka and Apache Flink. The release adds expanded time-series model support, a generally available Real-Time Context Engine, updates to the fully managed MCP Server, Agent Skills for AI coding assistants, and Confluent Copilot. The features are intended to provide agents and applications with fresh business context and governed access to live data and infrastructure.

### Source excerpt

Explore new AI features and AI tools: support for IBM Granite Time Series models and TimesFM models (EA), enhanced Real-Time Context Engine experience, new Agent Skills, Confluent Copilot

## 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.

## Announcing Upvest as Confluent's 2026 EMEA Data Streaming Startup of the Year

DevFeed: [Announcing Upvest as Confluent's 2026 EMEA Data Streaming Startup of the Year](<https://devfeed.tech/articles/announcing-upvest-as-confluent-s-2026-emea-data-streaming-startup-of-the-year-11548.md>)

Original publisher: [Read original article](<https://www.confluent.io/blog/announcing-upvest-as-confluents-2026-emea-data-streaming-startup-of-the-year/>)

Author: Tim Graczewski

Published: 2026-07-16T00:07:01Z

Content type: article

Language: en

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

Topics: [Streaming](<https://devfeed.tech/topics/streaming.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>), [event driven](<https://devfeed.tech/topics/event-driven.md>), [Scalability](<https://devfeed.tech/topics/scalability.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [data-governance](<https://devfeed.tech/topics/data-governance.md>), [Microservices](<https://devfeed.tech/topics/microservices.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Disaster Recovery](<https://devfeed.tech/topics/disaster-recovery.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cloud-native](<https://devfeed.tech/tags/cloud-native.md>), [compliance](<https://devfeed.tech/tags/compliance.md>), [confluent](<https://devfeed.tech/tags/confluent.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [data](<https://devfeed.tech/tags/data.md>), [data-governance](<https://devfeed.tech/tags/data-governance.md>), [disaster-recovery](<https://devfeed.tech/tags/disaster-recovery.md>), [emea](<https://devfeed.tech/tags/emea.md>), [event-driven](<https://devfeed.tech/tags/event-driven.md>), [fintech](<https://devfeed.tech/tags/fintech.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [revolut](<https://devfeed.tech/tags/revolut.md>), [scalability](<https://devfeed.tech/tags/scalability.md>), [startup](<https://devfeed.tech/tags/startup.md>), [streaming](<https://devfeed.tech/tags/streaming.md>)

### AI overview

Confluent recognizes Berlin-based Upvest as its inaugural EMEA Data Streaming Startup of the Year. The article describes Upvest's real-time, event-driven fintech infrastructure, which supports embedded investments, client onboarding, data governance, disaster recovery, scalability, and regulatory resilience for major financial institutions.

### Source excerpt

Confluent for Startups provides an easy on-ramp to Confluent Cloud for early stage startups with great data streaming use cases.

## 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.

## Build a Real-time Materialized View from Postgres Changes using Confluent's ksqlDB

DevFeed: [Build a Real-time Materialized View from Postgres Changes using Confluent's ksqlDB](<https://devfeed.tech/articles/build-a-real-time-materialized-view-from-postgres-changes-using-confluent-s-ksqldb-5763.md>)

Original publisher: [Read original article](<https://neon.com/blog/real-time-materialized-view-postgres-kafka-ksqldb>)

Author: Evan Shortiss

Published: 2024-02-28T17:33:42Z

Content type: tutorial

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [Kafka](<https://devfeed.tech/topics/kafka.md>), [Replication](<https://devfeed.tech/topics/replication.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Messaging](<https://devfeed.tech/topics/messaging.md>), [Microservice](<https://devfeed.tech/topics/microservice.md>), [data](<https://devfeed.tech/topics/data.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Publish-subscribe pattern](<https://devfeed.tech/topics/pubsub.md>), [ide](<https://devfeed.tech/topics/ide.md>)

Tags: [apache-kafka](<https://devfeed.tech/tags/apache-kafka.md>), [architectures](<https://devfeed.tech/tags/architectures.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [community](<https://devfeed.tech/tags/community.md>), [components](<https://devfeed.tech/tags/components.md>), [confluent](<https://devfeed.tech/tags/confluent.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [data](<https://devfeed.tech/tags/data.md>), [events](<https://devfeed.tech/tags/events.md>), [messaging](<https://devfeed.tech/tags/messaging.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [performance](<https://devfeed.tech/tags/performance.md>), [postgres](<https://devfeed.tech/tags/postgres.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [replication](<https://devfeed.tech/tags/replication.md>), [sql](<https://devfeed.tech/tags/sql.md>), [streaming](<https://devfeed.tech/tags/streaming.md>)

### AI overview

This tutorial explains how to stream changes from a Neon Postgres database to Apache Kafka and use ksqlDB on Confluent Cloud to build a real-time materialized view. It contrasts this approach with refreshing a Postgres materialized view after each write, highlighting performance, history retention, and reliable downstream notifications.

### Source excerpt

Neon's support for Postgres' logical replication features opens up a variety of interesting use cases, including for real-time streaming architectures based on change data capture. We previously demonstrated how to use Debezium to fan-out changes from Postgres by using Redis as a...

## 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...