InfoQ Homepage DevOps Content on InfoQ
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Cloud-Native Is about Culture, Not Containers
At QCon London last year, Holly Cummins, innovation leader in IBM Corporate Strategy, provided a session titled: Cloud-Native is about Culture, not Containers. In this article, Cummins will discuss the role of culture in cloud-native architecture. Furthermore, she will dive into various topics around cloud-native ranging from its definition to CI/CD and operations.
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The Perfect Pair: Digital Twins and Predictive Maintenance
Businesses are moving towards developing a predictive maintenance model using digital twins that mirror their real-life counterparts. In this article, the author looks at digital twins, and provides an example of how to build one.
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Network Edge 5G Computing Technologies Predicted to Make Dramatic Changes to Business Operations
Implementing network edge 5G technologies can offer many advantages, but also presents challenges for your team. In this article, we’ll take a look at promise and risk of network edge 5G models.
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Experts Discuss Top Kubernetes Trends and Production Challenges
Kubernetes growth has led to cultural, technological and operational challenges. InfoQ caught up with Kubernetes experts and implementers who talk about 2-3 top trends and challenges that are facing the platform.
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Software Systems Need Skin in the Game
Consequential decisions need to be taken by the people who pay for the consequences, by the people with skin in the game, and modern software practices need to reinforce this idea. On-call engineering is the quintessential modern engineering practice to create skin in the software development game.
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Piercing the Fog: Observability Tools from the Future
Visibility into those distributed systems and how they are performing is challenging. Despite all the observability tools available for site reliability, debugging remains incredibly difficult, and many SREs would agree that their debugging processes have only marginally improved. This article explores how observability for troubleshooting could be done from the user’s point of view.
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Virtual Panel: the MicroProfile Influence on Microservices Frameworks
In mid-2016, the MicroProfile initiative was created as a collaboration of vendors to deliver microservices for enterprise Java. InfoQ recently asked the opinion of expert practitioners on how MicroProfile has influenced how developers today are building microservices-based applications, the emergence of new microservices frameworks and reverting back to monolith-based applications development.
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AI No Silver Bullet for Cloud Security, But Here’s How It Can Help
In this article, the author looks at the real role of artificial intelligence in cloud security – the hype, the reality, and how we can resolve the gap between them. He encourages the reader to focus on making cloud security platforms that allow humans to provide truly intelligent threat responses, rather than relying on the machines to do it for us.
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AI Applied in Enterprises: Information Architecture, Decision Optimization, and Operationalization
The book Deploying AI in the Enterprise by Eberhard Hechler, Martin Oberhofer, and Thomas Schaeck gives insight into the current state of AI related to themes like change management, DevOps, risk management, blockchain, and information governance. It discusses the possibilities, limitations, and challenges of AI and provides cases that show how AI is being applied.
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Enhanced Streams Processing with Kotlin’s Sequence Interface
Data structures are an intrinsic part of every programming language, yet Java’s Stream interface lacks vital operations and its complex approach to extensibility gave rise to alternative libraries such as jOOλ and Guava. This article provides an alternative approach that can be easily integrated in any Java project using Kotlin's Sequence interface.
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Performance Analysis for Arm vs x86 CPUs in the Cloud
In this article, the author uses AWS’s Arm (Graviton2) and x86_64 (Intel) EC2 instances to evaluate computational performance across different software runtimes, including Docker, Node.js, and WebAssembly. Our conclusion is that Arm is more cost effective in the cloud, especially with lightweight runtimes that are close to the underlying operating system.
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Go Language at 13 Years: Ecosystem, Evolution, and Future in Conversation with Steve Francia
Go was started more than a decade ago in the Engineering department at Google. It was designed with the purpose of providing an easy-to-learn programming language that would allow to develop Google's systems at the next level. In the past decade, the language became more and more stable, currently being used for implementing some of the most popular tools on the web (Kubernetes, Terraform etc.).