I recently collaborated with fellow Red Hatters to create a whiteboarding video that introduces OpenShift Serverless at a high level. In this article, I build upon that YouTube video and my recent work with Quarkus to create a hands-on deep dive into OpenShift Serverless. This article walks you through using the OpenShift Serverless operator to seamlessly add serverless capabilities to an OpenShift 4.3 cluster and then using the Knative CLI tool to deploy a Quarkus native application as a serverless service onto that same cluster.
OpenShift Serverless helps developers to deploy and run applications that will scale up or scale to zero on-demand. Applications are packaged as OCI compliant Linux containers that can be run anywhere. Using the Serverless model, an application can simply consume compute resources and automatically scale up or down based on use. As mentioned in the introduction above, the whiteboarding YouTube video embedded below provides a high-level overview of OpenShift Serverless.
Continue reading “Hands on introduction to OpenShift Serverless”
In a recent Red Hat customer survey, skillset or talent gaps were once again ranked as top factors preventing digital transformation. Whether you are newly adopting Red Hat or need to upskill on a specific product, investing in skills is a critical component of moving your organization forward.
Continue reading “Red Hat’s Training and Certification virtual classroom brings learning anywhere you are”
How to Visualize, Measure and Optimize Your Processes
If you are familiar with Value Stream Mapping (vsm) then you know its a macro-level map of the end to end delivery flow of a particular service or product from the beginning until it reaches a customer. Metric Based Process Mapping (mbpm) on the other hand is a more detailed or micro-level view of how some of the stages or single processes of a vsm deliver value.
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In my job as a Consulting Architect working with Red Hat’s Open Innovation Labs, I am in a very fortunate position where I get to help kick start new product teams. We use a range of open practices to help bootstrap these teams and get them off to the best start. One practice, in particular, I’ve come to realise is foundational for getting the team off to a great start: Social Contracts.
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Machine Learning is a tool that is quickly becoming more and more available to enterprises. Although this new tool is very powerful, it is still often not well understood. This blog post intends to demystify the concepts around Machine Learning, define much of the vernacular common to the practice, and inform how Red Hat teams can help today. This post extends the information provided in our whiteboarding video.
Continue reading “What is Machine Learning?”
In recent years, application development has started to focus on a new concept: containers. No, these aren’t shipping containers, however, most people working in a tech field have heard the term ‘container’ come up in some technical design meeting or discussing ‘the future of technology.’ It has quickly become a buzzword and an important concept, but what actually is a container? What is all the excitement about? Why should we care?
Check out our YouTube video: Container fundamentals, security and usage in the enterprise.
Continue reading “Containers: The Future (and Present) of Application Development”
How Ansible can help to automate Virtual Network Functions (VNF) configuration deployment?
Check out our whiteboarding video here!
Continue reading “Automating Traditional Telco Networks with Ansible”
Nowadays, the reality of companies demands even more integration between different technologies, working together, changing and processing data. In this ecosystem, the use of an integration platform is essential. Still, the use of an in-memory database is necessary for a significant gain in information processing performance. In this article, we will demonstrate the use of JBoss Fuse integration platform, in conjunction with the In-memory database named Red Hat Data Grid.
Continue reading “Perform remote caches with JBoss Fuse and Red Hat Data Grid”