InfoQ Homepage Cloud Computing Content on InfoQ
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DevOps and Cloud as Catalysts for Business Performance
The 2019 Accelerate State of DevOps presents the capabilities and practices that contribute to software development and organizational performance. This year, DevOps has crossed the chiasm, while a well-implemented cloud computing strategy helps deliver superior results contributing to speed, stability, and availability.
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Containers in 2019: They're Calling it a [Hypervisor] Comeback
The 2019 news cycle within the "cloud native" corner of the world has been abuzz with a word previously thought outmoded by the rapid rise of containers: “hypervisor.” This article explores the motivations behind this, focusing on security, user experience, and isolation flexibility, and concludes by speculating on the future direction of development within the cloud and container industry.
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Using Docker Application Packages to Deliver Apps across Teams
In this article, we will look at how the CNAB packaging format provides application providers and developers with a way of installing a multi-component application into a distributed computing environment, supporting many executable units, and makes it easy to deliver apps across teams, organizations and marketplaces.
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Velocity and Better Metrics: Q&A with Doc Norton
Velocity is not good for predictions or diagnostics, argued Doc Norton at Experience Agile 2019. It's a lagging indicator of a complex system which is too volatile to know what our future performance will be; it isn’t stable enough to be used reliably. We can use Monte Carlo simulation for forecasting, and cumulative flow diagrams to track work, see changes in scope, and spot bottlenecks.
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Improving Security Practices in the Cloud Age: Q&A With Christopher Gerg
IT leaders say that security is a top priority. Surveys show that it’s easy to say, and hard to do. InfoQ spoke with Christopher Gerg, CISO at Gillware, about security practices in the cloud age.
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Postgres Handles More Than You Think
Thinking about scaling beyond Postgres with a data store like Redis or Elasticsearch? Think again before adopting a complex infrastructure. Postgres can scale for heavy loads and offers powerful features which are not obvious at first sight. For example, it's possible to enable in-memory caching, text search, specialized indexing, and key-value storage. Article
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Implementing Policies in Kubernetes
The author explains what Kubernetes policies are, and how they can help you manage and secure the Kubernetes cluster. We will also look at why we need a policy engine to author and manage policies.
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Q&A on the Book Continuous Delivery in Java
The book Continuous Delivery in Java by Daniel Bryant and Abraham Marin-Perez was released nearly ten years after the original Continuous Delivery book by Dave Farley and Jez Humble, and more than 20 years after Java’s first release. Q&A with the authors to better understand from their experience why a book on Continuous Delivery specifically for Java and the JVM ecosystem was needed.
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Azure Data Lake Analytics and U-SQL
In this article, the author shows how to use big data query and processing language U-SQL on Azure Data Lake Analytics platform. U-SQL combines the concepts and constructs both of SQL and C#. It combines the simplicity and declarative nature of SQL with the programmatic power of C# including rich types and expressions.
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Q&A with Gojko Adzic on the Book Running Serverless
In the book Running Serverless, Gojko Adzic introduces the basic concepts of serverless including detailed step-by-step instructions to get started on AWS, but he also goes beyond the basics and explains subjects like storage, session state, and event handling.
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Cellery: A Code-First Approach to Deploy Applications on Kubernetes
Cellery is a code-first approach to building, integrating, running, and managing composite applications on Kubernetes, using a cell-based architecture. Learn what cells are, how Cellery works, and see how an existing Kubernetes application written by Google can be deployed, managed, and observed using Cellery.
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Kubernetes Workloads in the Serverless Era: Architecture, Platforms, and Trends
Explore how microservices architecture has evolved into cloud-native architecture, where many of the infrastructure concerns are provided by Kubernetes in combination with additional abstractions provided by service mesh and serverless frameworks. In addition, the serverless ecosystem is evolving by exploring standard and open packaging, runtimes, and event formats.