InfoQ Homepage Architecture & Design Content on InfoQ
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ATDD From the Trenches
A concrete example of how to get started with acceptance-test driven development on an existing code base. It is part of the solution to technical debt.
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Book Review: Learning Gerrit Code Review
Learning Gerrit Code Review presents an overview of the Gerrit review tool, from how to install and configure projects through to how to integrate with other services like GitHub and Jenkins.The book also presents the rationale behind code reviews and the benefits that it brings to projects, as well as some low-level introductions to git.
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Bridging Subsidiaries With the Cloud to Create a Global API
One of the biggest challenges in modern business is how you integrate subsidiaries and present a single global view so that customers and partners find it simpler to integrate with your organisation. In this article we will discuss a fictitious sample based on a real-world scenario and look at some of the challenges and good practices that you should look to implement to be successful.
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Interview: Adrian Cockcroft on High Availability, Best Practices, and Lessons Learned in the Cloud
Netflix is a widely referenced case study for how to effectively operate a cloud application at scale. While their hyper-resilient approach may not be necessary at most organizations, Netflix has advanced the conversation about what it means to build modern systems. In this interview, InfoQ spoke with Adrian Cockcroft who is the Cloud Architect for the Netflix platform.
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Preparing for Your First MongoDB Deployment: Capacity Planning and Monitoring
In this article, author Mat Keep discusses the deployment best practices of MongoDB databases with focus on capacity planning and monitoring aspects. He also explains the topics like hardware selection, key metrics for monitoring and when it’s time to add shards.
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Modeling in the Agile Age: What to Keep Next to Code to Scale Agile Teams
Now that Agile methods have become mainstream in software development, working code is considered the most important team artifact. There is still a need for modeling. Kenji Hiranabe explores the spaces where modeling fits and plays an important role in this Agile age. With focus on development scaling to multiple teams where a shared understanding of the system’s “Big Picture” becomes essential.
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Codenvy’s Architecture, Part 2
Tyler Jewell, CEO of Codenvy, unveils in this 2-parts article the architecture of Codenvy - a cloud IDE –, providing details on its platform and plug-in architecture, workspace and cluster management, multi-tenancy implementation, IDE collaboration, release model and SCRUM process used for development.
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Cloud and DevOps: A Marriage Made in Heaven
What is the relationship between Cloud Computing and DevOps? Is DevOps really just “IT for the Cloud”? Can you only do DevOps in the cloud? Can you only do cloud using DevOps? The answer to all three questions is “no”. Cloud and DevOps are independent but mutually reinforcing strategies for delivering business value through IT.
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Much Ado About Commitment
Great projects are generally the end result of commitment from three basic sets of actors: individual team members, teams and projects. With agile teams committing based on the needs of the business and their capabilities, and delivering against the commitment they make.
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Codenvy’s Architecture, Part 1
Tyler Jewell, CEO of Codenvy, unveils in this 2-parts article the architecture of Codenvy - a cloud IDE –, providing details on its platform and plug-in architecture, workspace and cluster management, multi-tenancy implementation, IDE collaboration, release model and SCRUM process used for development.
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Cloud PCI Compliance: The Checklist
To protect against dangerous hacks that can lead to thefts of business data or customer identities, best practices are set forth in the Payment Card Industry Data Security Standard (PCI DSS). These 12 steps set up a framework for a secure payment environment.
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How to Make Your In-memory NoSQL Datastores Enterprise-Ready
In this article, author Yiftach Schoolman outlines how to overcome the top seven challenges associated with managing the in-memory NoSQL datastores in the cloud. He discusses the challenges like availability, consistency during and after network splits, data durability, scalability, and ops overhead.