IBM/Red Hat Leftovers
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Subscription Manager and Simple Content Access: tagging and reviewing systems
We showed you how to enable Simple Content Access (SCA) and register your Red Hat Enterprise Linux (RHEL) with Insights. In this post, we will look at the use of groups in custom tags with Insights.
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Network Controls in the DevSecOps life cycle
Network controls and segmentation methods allow you to control, segregate, and visualize Kubernetes traffic. These methods help you isolate tenants and better secure communications flow between containerized applications and microservices.
August is "Network Controls" month in Red Hat’s monthly Security series! Since March 2021, the Red Hat Security Ecosystem team has published monthly articles and videos on DevOps Security topics to help you learn how Red Hat can help you master the practice called DevSecOps.
By explaining how to assemble Red Hat products and introducing our security ecosystem partners, we aim to aid in your journey to deploying a comprehensive DevSecOps solution.
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Why should I choose Quarkus over Spring for my microservices? | Red Hat Developer
As interest grows in microservices and containers, Java developers have struggled to make applications smaller and faster to meet today’s demands and requirements. In the modern computing environment, applications must respond to requests quickly and efficiently, be suitable for running in volatile environments such as virtual machines or containers, and support rapid development. Because of this, Java, and popular Java runtimes, are sometimes considered inferior to runtimes in other languages such as Node.js and Go.
The Java language and platform have been very successful over the years, preserving Java as the predominant language in current use. Analysts have estimated the global application server market size at $15.84 billion in 2020, with expectations of growing at a rate of 13.2% from 2021 to 2028. Additionally, tens of millions of Java developers worldwide work for organizations that run their businesses using Java. Faced with today’s challenges, these organizations need to adapt and adopt new ways of building and deploying applications. Forgoing Java for other application stacks isn’t a choice for many organizations. It would involve re-training their development staff and re-implementing processes to release and monitor applications in production.
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Building reactive systems with Node.js
If you do a web search for computing terms that go with the word reactive, you'll find a wealth of phrases: Reactive streams, reactive systems, reactive messaging, and reactive programming are examples. The word reactive is also associated with other popular concepts like non-blocking I/O, functional programming, and backpressure.
Although those are all interesting topics, studying reactive systems is a good place to start. This concept was defined by the Reactive Manifesto as an architectural style for distributed systems that are responsive, elastic, resilient, and message-driven. Other constructs such as reactive streams (an asynchronous and non-blocking backpressure protocol) and reactive programming (such as reactive extensions) are implementation details.
Although the Reactive Manifesto is language-agnostic and framework-agnostic, Node.js is an excellent framework for carrying out its principles. This article provides general background on Node.js in reactive systems, then takes you step-by-step through a reactive service built with Node.js and Apache Kafka.
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Use automation to combat your increased workload
So what can you do to improve the situation and make better use of your time? The answer can be complex and, in some cases, require the company to address it systemically. For other problems, you can use your technical expertise to improve the way you work by automating these repetitive, mundane tasks.
When we think of automating an IT process, it's normal to evaluate spending the time and effort to develop automation artifacts to address large or complex issues. There are many benefits to doing this. You can realize the same advantages by applying automation to simple and repetitive tasks, especially when you can reuse the automation to manage hundreds or thousands of systems.
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Dilution and Misuse of the "Linux" Brand
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