Hugo Guerrero

APIs & Integration Technical Evangelist, Red Hat

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

Data as a microservice: Distributed data-focused integration

Data as a microservice: Distributed data-focused integration

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By Hugo Guerrero

Microservices is the architecture design favored in new software projects; however, getting the most from this type of approach requires overcoming several previous requirements. As the evolution from a monolithic to a distributed system takes place not only in the application space but also at the data store, managing your data becomes one of the hardest challenges. This article examines some of the considerations for implementing data as a service.

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Distributed microservices architecture: Istio, managed API gateways and, enterprise integration

Distributed microservices architecture: Istio, managed API gateways and, enterprise integration

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By Hugo Guerrero

The rise of microservices architectures drastically changed the software development landscape. In the past few years, we have seen a shift from centralized monoliths to distributed computing that benefits from cloud infrastructure. With distributed deployments, the adoption of microservices, and system scaling to cloud levels, new problems emerged, as well as new components that tried to solve the problems.

By now, you most likely have heard that the service mesh or Istio is here to save the day. However, you might be wondering how it fits with your current enterprise integration investments and API management initiatives. That is what I discuss in this article.

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Announcing Kubernetes-native self-service messaging with Red Hat AMQ Online

Announcing Kubernetes-native self-service messaging with Red Hat AMQ Online

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By Hugo Guerrero

Microservices architecture is taking over software development discussions everywhere. More and more companies are adapting to develop microservices as the core of their new systems. However, when going beyond the “microservices 101” googled tutorial, required services communications become more and more complex. Scalable, distributed systems, container-native microservices, and serverless functions benefit from decoupled communications to access other dependent services. Asynchronous (non-blocking) direct or brokered interaction is usually referred to as messaging.

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How to run Kafka on Openshift, the enterprise Kubernetes, with AMQ Streams

How to run Kafka on Openshift, the enterprise Kubernetes, with AMQ Streams

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By Hugo Guerrero

On October 25th Red Hat announced the general availability of their AMQ Streams Kubernetes Operator for Apache Kafka. Red Hat AMQ Streams focuses on running Apache Kafka on Openshift providing a massively-scalable, distributed, and high performance data streaming platform. AMQ Streams, based on the Apache Kafka and Strimzi projects, offers a distributed backbone that allows microservices and other applications to share data with extremely high throughput. This backbone enables:

  • Publish and subscribe: Many to many dissemination in a fault tolerant, durable manner.
  • Replayable events: Serves as a repository for microservices to build in-memory copies of source data, up to any point in time.
  • Long-term data retention: Efficiently stores data for immediate access in a manner limited only by disk space.
  • Partition messages for more horizontal scalability: Allows for organizing messages to maximum concurrent access.

One of the most requested items from developers and architects is how to get started with a simple deployment option for testing purposes. In this guide we will use Red Hat Container Development Kit, based on minishift, to start an Apache Kafka cluster on Kubernetes.

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Welcome Apache Kafka to the Kubernetes Era!

Welcome Apache Kafka to the Kubernetes Era!

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By Hugo Guerrero

We have pretty exciting news this week as Red Hat is announcing the General Availability of their Apache Kafka Kubernetes operator. Red Hat AMQ Streams delivers the mechanisms for managing Apache Kafka on top of OpenShift, our enterprise distribution for Kubernetes.

Everything started last May 2018 when David Ingham (@dingha) unveiled the Developer Preview as new addition to the Red Hat AMQ offering. Red Hat AMQ Streams focuses on running Apache Kafka on OpenShift. In the microservices world, where several components need to rely on a high throughput communication mechanism, Apache Kafka has made a name for itself for being a leading real-time, distributed messaging platform for building data pipelines and streaming applications.

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Adding API Gateway Policies Now Easier With Red Hat 3scale API Management

Adding API Gateway Policies Now Easier With Red Hat 3scale API Management

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By Hugo Guerrero

With the June 2018 release of Red Hat 3scale API Management 2.2, adding API Gateway policies to your API management layer is easier than ever.

What is a Policy?

Red Hat 3scale API Management provides units of functionality that modify the behavior of the API Gateway without the need to implement code. These management components are know in 3scale as policies. The configuration for the bundled policies is available from the API Manager Portal, where you can define the behavior of your API integration.

The order in which the policies are executed, known as the “policy chain”, can be configured to introduce differing behavior based on the position of the policy in the chain. Adding custom headers, perform URL rewriting, enable CORS, and configurable caching are some of the most common API gateway capabilities implemented as policies.

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HOW-TO setup 3scale OpenID Connect (OIDC) Integration with RH SSO

HOW-TO setup 3scale OpenID Connect (OIDC) Integration with RH SSO

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By Hugo Guerrero

This step-by-step guide is a follow-up to the Red Hat 3scale API Management new 2.1 version announcement. As many of you will know, this new version simplifies the integration between APIcast gateway and Red Hat Single Sign-On through OpenID Connect (OIDC) for API authentication. As a result, now you can select OpenID Connect as your authentication mechanism besides API Key, App Key pair, and OAuth. Also, the on-premise version adds a new component that synchronizes the client creation on the Red Hat Single Sign-On domain.

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3scale API Management Simplifies OpenID Connect Integration

3scale API Management Simplifies OpenID Connect Integration

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By Hugo Guerrero

Red Hat 3scale API Management Platform simplifies the integration between APIcast gateway and Red Hat Single Sign-On through OpenID Connect (OIDC) for API authentication. Consequently, the new version enables API provider users to select and configure their API authentication process from the Admin Portal UI. 

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Demonstrating Red Hat JBoss AMQ 7 HA Replication Failover

Demonstrating Red Hat JBoss AMQ 7 HA Replication Failover

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By Hugo Guerrero

A few weeks ago, the newest version of Red Hat JBoss AMQ was released. AMQ 7 is the result of Red Hat’s efforts on creating a unified messaging platform for its middleware offerings. One of the most interesting features of this new version is the new backing strategy for failovering when configured in high availability. This feature allows clients connections to migrate from one server to another in the event of server failure so client applications can continue to operate.

AMQ 6.x already had an option to configure failover using a shared store, usually backed up by a shared filesystem or a JDBC connection to a database. However, that option involved the use of external infrastructure add-on in hardware and software, representing an increase in overall deployment costs.

In AMQ 7, support for network-based replication was added. When using replication, the live and the backup servers do not share the same data directories; all data synchronization is done over the network. Therefore, all (persistent) data received by the live server will be duplicated to the backup.

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Implementing a Log Collector using Red Hat JBoss Fuse and Red Hat JBoss Data Grid

Implementing a Log Collector using Red Hat JBoss Fuse and Red Hat JBoss Data Grid

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By Hugo Guerrero

Most of the time, when we think about collecting, parsing and storing Logs, the first thing that pops in our mind is the ElasticStack or ELK. It is well positioned in developer and sysadmin’s minds. The stack combines the popular Elasticsearch, Logstash and Kibana projects together to easy the collection/aggregation, store, and visualization of application logs. As an Apache Camel rider and Infinispan enthusiast, I prepared this exercise to produce my own log collector and store stack using Red Hat’s products, JBoss Fuse and JBoss Data Grid, instead.

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