Cloud-native environment architecture can be challenging to understand. To help make sense of it for application developers and software/system architects, I will attempt to explain the various parts and how they work together. Toward this end, I find it helpful to think about the architecture in four separate layers: application software development, service scaling, application network, and container orchestration platform.
In this article, I will describe the first technology layer: application software development. I drew the following diagram to make these concepts easier to visualize.
Continue reading “Introduction to cloud-native application environment architecture”
Quarkus continues its cadence of delivering a release every 2-3 weeks. This latest release (0.17.0) contains 125+ changes that include new features, bug fixes, and documentation updates.
Continue reading “Quarkus 0.17.0 now available”
In part 1, I introduced the EventFlow platform for developing, deploying, and managing event-driven microservices using Red Hat AMQ Streams. This post will demonstrate how to deploy the EventFlow platform on Red Hat OpenShift, install a set of sample processors, and build a flow.
Continue reading “EventFlow: Event-driven microservices on Red Hat OpenShift (Part 2)”
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.
Continue reading “Data as a microservice: Distributed data-focused integration”
I recently had the opportunity to speak at Red Hat Summit 2019. In my session, titled “Vert.x application development with Jaeger distributed tracing,” I discussed how scalable event-driven applications could be built with Eclipse Vert.x, a Java Virtual Machine toolkit for building reactive applications.
Thanks to many developer tools, creating these applications is no longer the most effort-consuming task in IT. Instead, we now have to understand how parts of our application function together to deliver a service, (across dev, test and production environments). This can be difficult because, with distributed architectures, external monitoring only tells you the overall response time and the number of invocations, providing no insight into the individual operations. Additionally, log entries for a request are scattered across numerous logs. This article discusses the use of Eclipse Vert.x, distributed tracing, and Jaeger in the context of this problem.
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Getting started with distributed tracing can be a daunting task. There are many new terms, frameworks, and tools with apparently overlapping capabilities, and it’s easy to get lost or sidetracked. This guide will help you navigate the open source distributed tracing landscape by describing and classifying the most popular tools.
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After three years of working on VS Code extensions, my team celebrates 3.8-million installations and more than 20-million downloads—two indicators that we are providing valuable VS Code extensions accepted by fellow developers. We also celebrate that our involvement with Language Server Protocols (LSPs) has helped open source communities of varying sizes to enable a wide selection of IDEs (Integrated Development Environments) and editors that in turn have made these communities stronger. So, how did we get here?
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After being introduced to Linux containers and running a simple application, the next step seems obvious: How to get multiple containers running in order to put together an entire system. Although there are multiple solutions, the clear winner is Kubernetes. In this article, we’ll look at how Kubernetes facilitates running multiple containers in a system.
Continue reading “Introduction to Kubernetes: From container to containers”
By following my previous article in this series, you’ve crushed the whole containers thing. It was much easier than you anticipated, and you’ve updated your resume. Now it’s time to move into the spotlight, walk the red carpet, and own the whole Kubernetes game. In this blog post, we’ll get our Kubernetes environment up and running on macOS, spin up an image in a container, and head to Coderland.
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Red Hat Summit 2019 is rocking Boston, MA from May 7-9 in the Boston Convention and Exhibition Center. Everything you need to know about the current state of open source enterprise-ready software can be found at this event. From customers talking about their experiences leveraging open source in their solutions, to the creators of open source technologies you’re using, and all the way down to hands-on lab experiences on these technologies.
This hands-on appeal is what this series of articles is about. Previously, we looked at the labs in the Cloud-Native App Dev track, and this time, we provide a roadmap to the “Integration and APIs” lab content.
Continue reading “Red Hat Summit 2019 Labs: Integration and APIs roadmap”