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

Deploy integration components easily with the Red Hat Integration Operator

Deploy integration components easily with the Red Hat Integration Operator

Any developer knows that when we talk about integration, we can mean many different concepts and architecture components. Integration can start with the API gateway and extend to events, data transfer, data transformation, and so on. It is easy to lose sight of what technologies are available to help you solve various business problems. Red Hat Integration‘s Q1 release introduces a new feature that targets this challenge: the Red Hat Integration Operator.

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Debezium serialization with Apache Avro and Apicurio Registry

Debezium serialization with Apache Avro and Apicurio Registry

In this article, you will learn how to use Debezium with Apache Avro and Apicurio Registry to efficiently monitor change events in a MySQL database. We will set up and run a demonstration using Apache Avro rather than the default JSON converter for Debezium serialization. We will use Apache Avro with the Apicurio service registry to externalize Debezium’s event data schema and reduce the payload of captured events.

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New features and storage options in Red Hat Integration Service Registry 1.1 GA

New features and storage options in Red Hat Integration Service Registry 1.1 GA

This article introduces new storage installation options and features in the Red Hat Integration service registry. The service registry component is based on Apicurio. You can use it to store and retrieve service artifacts such as OpenAPI specifications and AsyncAPI definitions, and for schemas such as Apache Avro, JSON, and Google Protobuf. We’ve provided Red Hat Integration’s Service Registry 1.1 component as a general availability (GA) release in Red Hat Integration 2020-Q4.

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Capture IBM Db2 data changes with Debezium Db2 connector

Capture IBM Db2 data changes with Debezium Db2 connector

This article introduces the new Debezium Db2 connector for change data capture, now available as a technical preview from Red Hat Integration. Get a quick overview of using Debezium in a Red Hat AMQ Streams Kafka cluster, then find out how to use the new Db2 connector to capture row-level changes in your Db2 database tables.

Note: Change data capture, or CDC, is a well-established software design pattern for monitoring and capturing data changes in a database. CDC captures row-level changes to database tables and passes corresponding change events to a data streaming bus. Applications can read the change-event streams and access change events in the order that they happened.

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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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