Red Hat Leftovers

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Implementing Apache ActiveMQ-style broker meshes with Apache Artemis
Apache ActiveMQ and Apache Artemis (or ActiveMQ Artemis) are open source message brokers with similar functionality. Both implementations are venerable, with histories that go back to the early 2000s. However, Artemis is in some senses a more modern implementation because, ironically, it has a smaller feature set. This makes Artemis easier to maintain, which is important if you're basing a commercial product on it. The smaller feature set means a smaller overall implementation, which fits well with developing microservices.
Early versions of Red Hat AMQ were based on ActiveMQ, but attention has shifted to Artemis in AMQ 7. ActiveMQ is not maintained as vigorously as it once was by the open source community, but at the time of writing, Amazon is still offering a message broker service based on ActiveMQ. Whether it has a long-term future, at Amazon or elsewhere, remains to be seen.
Leaving aside ActiveMQ's complex niche features (such as message routing based on Apache Camel rules), ActiveMQ and Artemis look similar to the integrator and, in most practical applications, provide comparable throughput. However, they differ in important areas. Message distribution in the presence of multiple active brokers causes particular problems for integrators who want to move from ActiveMQ to Artemis.
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17 Linux commands every sysadmin should know
A few months ago, I asked the Enable Sysadmin contributor community to help me make a list of their most essential commands. After processing the results, 17 of the commands emerged as being essential or at least hugely beneficial to the Linux sysadmin job. So without any further delay, let's jump into these.
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Making Java programs cloud-ready, Part 3: Integrate MicroProfile services
The first article in this series presented a legacy Java application that we want to upgrade to a microservices architecture. In the second article, we upgraded the Java EE environment to Jakarta EE. Now, we will add a powerful collection of microservices functionality, writing very little code of our own.
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Artificial Intelligence (AI): 4 novel ways to build talent in-house
The analytics leader of a US-based Fortune 200 company was under severe pressure. Her team supported 45,000 employees of the global energy company, and the business users weren’t happy. The analytics deliverables were often late and suffered from poor quality.
The analytics team was a part of the IT organization and was struggling to fill their open positions. The skills needed couldn’t be found within the IT team. Their office was a 60-mile drive up north from a large metropolitan area in the US, and it wasn’t easy to attract talent.
Training the few people they managed to hire wasn’t easy, and they often fell short in their business understanding. As a result, the analytics team was notorious for being understaffed, overworked, and facing the wrath of business users.
Does this scenario sound familiar?
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Hybrid work: 3 truths leaders can't ignore
After more than a year of working through the COVID-19 pandemic, some of us are finally starting to regain a sense of normalcy – one in which many companies have adopted a hybrid work model. While this approach offers flexibility and other advantages, it can also introduce challenges for both workers and organizations.
For organizations, concerns include the financial aspect of keeping a physical office space, managing employees’ schedules, keeping tabs on a distributed workforce, and making sure everyone has the technology and tools they need.
Many people have strong opinions on hybrid work – views that generally align with their personal preferences.
For some employees, lack of in-office contact can make them feel removed from the team. Others may feel pressure to show face when they’re more productive from their kitchen table.Finding the right balance is an ongoing task, but many people have strong opinions on hybrid work – views that generally align with their personal preferences. This gives business leaders an extra challenge when it comes to setting the standards and expectations for employees.
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Red Hat OpenShift 4.8 Helps Drive Developer Productivity For Modern Cloud-Native Applications Across The Hybrid Cloud
Red Hat has announced Red Hat OpenShift 4.8 to help organizations accelerate the creation of new cloud-native applications without abandoning existing environments and IT investments.
Red Hat OpenShift 4.8, based on Kubernetes 1.21 and CRI-O 1.21 runtime interface, further simplifies the developer experience while helping expand the use cases and workload possibilities across industries.
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digiKam 7.7.0 is released
After three months of active maintenance and another bug triage, the digiKam team is proud to present version 7.7.0 of its open source digital photo manager. See below the list of most important features coming with this release.
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Dilution and Misuse of the "Linux" Brand
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Samsung, Red Hat to Work on Linux Drivers for Future Tech
The metaverse is expected to uproot system design as we know it, and Samsung is one of many hardware vendors re-imagining data center infrastructure in preparation for a parallel 3D world.
Samsung is working on new memory technologies that provide faster bandwidth inside hardware for data to travel between CPUs, storage and other computing resources. The company also announced it was partnering with Red Hat to ensure these technologies have Linux compatibility.
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