Hugo Guerrero

Hugo Guerrero (@hguerreroo) is an information technology professional with 15+ years of experience in software development. He has worked as a developer, consultant, architect and software development manager with major clients in private and federal public sectors. He is a Red Hatter and currently an open source integration technology evangelist.

Areas of Expertise

Java, APIs, Messaging, Middleware

Recent Posts

Kubernetes-native Apache Kafka with Strimzi, Debezium, and Apache Camel (Kafka Summit 2020)

Kubernetes-native Apache Kafka with Strimzi, Debezium, and Apache Camel (Kafka Summit 2020)

Apache Kafka has become the leading platform for building real-time data pipelines. Today, Kafka is heavily used for developing event-driven applications, where it lets services communicate with each other through events. Using Kubernetes for this type of workload requires adding specialized components such as Kubernetes Operators and connectors to bridge the rest of your systems and applications to the Kafka ecosystem.

In this article, we’ll look at how the open source projects Strimzi, Debezium, and Apache Camel integrate with Kafka to speed up critical areas of Kubernetes-native development.

Note: Red Hat is sponsoring the Kafka Summit 2020 virtual conference from August 24-25, 2020. See the end of this article for details.

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First look at the new Apicurio Registry UI and Operator

First look at the new Apicurio Registry UI and Operator

Last year, the Apicurio developer community launched the new Apicurio Registry project, which is an API and schema registry for microservices. You can use the Apicurio Registry to store and retrieve service artifacts such as OpenAPI specifications and AsyncAPI definitions, as well as schemas such as Apache Avro, JSON, and Google Protocol Buffers.

Because the registry also works as a catalog where you can navigate through artifacts, adding a new web-based user interface (UI) was a priority for the current Apicurio Registry 1.2.2 release. With this release, the Apicurio community has made the Apicurio Registry available as a binary download or from container images. To make it easier to set up and manage your Apicurio Registry deployment, they have also created a new Kubernetes Operator for the Apicurio Registry.

This article is a quick introduction to the new Apicurio Registry UI and Apicurio Registry Operator. I’ll show you how to access these new features in Apicurio 1.2.2 and describe a few highlights of using them. For a more detailed demonstration, check out my video tutorial introducing the new UI and Kubernetes Operator.

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Extending Kafka connectivity with Apache Camel Kafka connectors

Extending Kafka connectivity with Apache Camel Kafka connectors

Apache Kafka is one of the most used pieces of software in modern application development because of its distributed nature, high throughput, and horizontal scalability. Every day more and more organizations are adopting Kafka as the central event bus for their event-driven architecture. As a result, more and more data flows through the cluster, making the connectivity requirements rise in priority for any backlog. For this reason, the Apache Camel community released the first iteration of Kafka Connect connectors for the purpose of easing the burden on development teams.

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Capture database changes with Debezium Apache Kafka connectors

Capture database changes with Debezium Apache Kafka connectors

Change data capture, or CDC, is a well-established software design pattern for a system that monitors and captures the changes in data so that other software can respond to those changes. CDC captures row-level changes to database tables and passes corresponding change events to a data streaming bus. Applications can read these change event streams and access these change events in the order in which they occurred.

Thus, change data capture helps to bridge traditional data stores and new cloud-native event-driven architectures. Meanwhile, Debezium is a set of distributed services that captures row-level changes in databases so that applications can see and respond to those changes. This general availability (GA) release from Red Hat Integration includes the following Debezium connectors for Apache Kafka: MySQL Connector, PostgreSQL Connector, MongoDB Connector, and SQL Server Connector.

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Replacing Confluent Schema Registry with Red Hat integration service registry

Replacing Confluent Schema Registry with Red Hat integration service registry

With the latest release of Red Hat Integration now available, we’ve introduced some exciting new capabilities. Along the enhancements for Apache Kafka-based environments, Red Hat announced the Technical Preview of the Red Hat Integration service registry to help teams to govern their services schemas. Developers can now use the registry to query for the schemas and artifacts required by each service endpoint or register and store new structures for future use.

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Getting started with Red Hat Integration service registry

Getting started with Red Hat Integration service registry

New projects require some help. Imagine you are getting ready to start that new feature your business has been asking for the last couple of months. Your team is ready to start coding to implement the new awesome thing that would change your business.

To achieve it, the team will need to interact with the current existing software components of your organization. Your developers will need to interact with API services and event endpoints already available in your architecture. Before being able to send and process information, developers need to be aware of the structure or schema expected by those services.

Red Hat announced the Technical Preview of the Red Hat Integration service registry to help teams to govern their services schemas. The service registry is a store for schema (and API design) artifacts providing a REST API and a set of optional rules for enforcing content validity and evolution. Teams can now use the service registry to query for the schemas required by each service endpoint or register and store new structures for future use.

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Red Hat simplifies transition to open source Kafka with new service registry and HTTP bridge

Red Hat simplifies transition to open source Kafka with new service registry and HTTP bridge

Red Hat continues to increase the features available for users looking to implement a 100% open source, event-driven architecture (EDA) through running Apache Kafka on Red Hat OpenShift and Red Hat Enterprise Linux. The Red Hat Integration Q4 release provides new features and capabilities, including ones aimed at simplifying usage and deployment of the AMQ streams distribution of Apache Kafka. 

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Red Hat advances Debezium CDC connectors for Apache Kafka support to Technical Preview

Red Hat advances Debezium CDC connectors for Apache Kafka support to Technical Preview

After a couple of months in Developer Preview, the Debezium Apache Kafka connectors for change data capture (CDC) are now available as a Technical Preview as part of the Q4 release of Red Hat Integration. Technology Preview features provide early access to upcoming product innovations, enabling you to test functionality and provide feedback during the development process.

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Developer preview of Debezium Apache Kafka connectors for Change Data Capture (CDC)

Developer preview of Debezium Apache Kafka connectors for Change Data Capture (CDC)

With the release of Red Hat AMQ Streams 1.2, Red Hat Integration now includes a developer preview of Change Data Capture (CDC) capabilities to enable data integration for modern cloud-native microservices-based applications. CDC features are based on the upstream project Debezium and are natively integrated with Apache Kafka and Strimzi to run on top of Red Hat OpenShift Container Platform, the enterprise Kubernetes, as part of the AMQ Streams release.

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Announcing Red Hat AMQ streams 1.2 with Apache Kafka 2.2 support

Announcing Red Hat AMQ streams 1.2 with Apache Kafka 2.2 support

We are thrilled to announce an updated release of the data streaming component of our messaging suite, Red Hat AMQ streams 1.2, which is part of Red Hat integration.

Red Hat AMQ streams, based on the Apache Kafka project, offers a distributed backbone that allows microservices and other applications to share data with extremely high throughput and extremely low latency. AMQ streams makes running and managing Apache Kafka a Kubernetes-native experience, by additionally delivering Red Hat OpenShift Operators, a simplified and automated way to deploy, manage, upgrade and configure a Kafka ecosystem installation on Kubernetes.

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