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  • A Pragmatic Approach to Scaling Security in the Cloud

    Security. Cloud. Two words that are almost always together but rarely happily. Read on to learn why that isn’t the case and what you need to known about securing your critical infrastructure in the cloud.

  • Apache Kafka: Next Generation Distributed Messaging System

    Apache Kafka is a distributed publish-subscribe messaging system. This article covers the architecture model, features and characteristics of Kafka framework and how it compares with traditional messaging systems.

  • Web APIs and the n+1 Problem

    The n+1 one problem doesn’t just affect ORMs. Any kind of Web API, RPC/Web Service or RESTful, can suffer from the same performance problems. In this article, Ali Kheyrollahi discusses some of the common scenarios that lead to n+1 in web APIs and ways to correct them.

  • Ansible’s View on IT Automation

    Michael DeHaan, creator of Ansible, introduces the general-purpose IT automation system. He describes the tool’s guiding principles: simplicity, ease of use and maximum security. The philosophy behind its community is also discussed, including the importance of Ansible’s plugin-based model. Michael uses a simple but common scenario to demonstrate Ansible.

  • 8 Great Java 8 Features No One's Talking about

    In this article Tal Weiss focuses on some lesser known API's in the new Java 8.

  • Exploring the ENTIRE DevOps Toolchain for (Cloud) Teams

    When assessing technology that empowers a DevOps transformation, it’s easy to focus in on the headline capabilities (“configuration management!”) and miss out on the bigger picture. How can teams shipping cloud (or on-premises) applications use the full suite of DevOps technologies to simplify delivery and management at scale? This article classifies and explains key enabling technologies.

  • Microservices: Decomposing Applications for Deployability and Scalability

    What are microservices? This article describes the increasingly popular Microservice architecture pattern, used to architect large, complex and long-lived applications as a set of cohesive services that evolve over time.

  • Data Modeling in Graph Databases: Interview with Jim Webber and Ian Robinson

    Data modeling with Graph databases requires a different paradigm than modeling in Relational or other NoSQL databases like Document databases, Key Value data stores, or Column Family databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling efforts when using Graph databases.

  • Exchanging Industry Experiences with Agile Methodologies

    The Agile Consortium Belgium, Sirris and Agoria organized an event to share experiences with agile methodologies like Scrum, Kanban, visual management, XP, DSDM and Lean. An interview about the different agile methodologies that were covered, on using agile for innovation and how events where organizations share their experiences can help the industry to adopt agile practices.

  • From MDM to MDM: From Managing Devices to Apps to Data

    Mobile operations management (MOM) is one of the top priorities of today’s modern enterprise. While the first generation of MOM solutions evolved around the management of mobile devices and applications, organizations have quickly realized that an effective enterprise mobile infrastructure requires addressing a more difficult challenge: managing and securing mobile business data.

  • Restify and Mobilize Your Data

    Val Huber explains creating a RESTful API from an existing database schema, extending the API to define multi-table hierarchical resources, and adding behavior using declarative reactive expressions.

  • Reactive Cloud Actors: An Evolvable Web of Events

    Reactive Cloud Actors are an utilization of Carl Hewitt's Actor model which can be used to leverage the power of modern distributed systems. This article demonstrates an implementation of Reactive Cloud Actors, considering a complex business scenario that is delivered in an elegant and thoughtful solution.

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