InfoQ Homepage Enterprise Architecture Content on InfoQ
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Using Blocker Clustering, Defect Clustering, and Prioritization for Process Improvement
When work gets delayed (it’s blocked), it is of particular interest to look for ways to improve the smooth flow of work by resolving the causes of that delay. In the long term, finding ways to eliminate the root causes of these delays is a superior solution. This article discusses clustering blockers and provides ways to prioritize those blockers that have the most impact or are the quickest wins.
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Analytics, Machine Learning, and the Internet of Things
In this article, author discusses the evolving technologies like Machine Learning and Internet of Things and how to exploit them for data analytics. He also talks about how organizations can benefit from these new sources of information and intelligence embedded in their environments.
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How a Flow Manager Helps Teams Deliver, Fast and Smoothly
As agile software delivery practices and management evolve, so, too, do the roles. kanban has introduced the idea of managing flow, one of the method’s core practices. With talented developers, quality advocates and user-experience designers, teams know how to deliver valuable software. But as we improve service delivery using kanban, who manages flow?
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Using Experiments and Data to Innovate and Build Products Customers Actually Use
An interview with Jan Bosch, professor of software engineering and director of the Software Center at Chalmers University of Technology, about the benefits that companies can get from increasing delivery speed, the next steps that organisations can take after adopting Agile and DevOps, using experiments to innovate, practices for experimentation and how organisations can become more innovative.
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Dealing with Politics in Agile or Lean Teams
InfoQ interviewed Katharine Kirk about how agile or lean can increase politics and how she combines ideas from agile and lean with eastern and tribal philosophy to deal with people issues that arise. InfoQ also asked her to give a different perspective and practical advice for addressing and navigating politics in organizations.
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High Tech, High Sec.: Security Concerns in Graph Databases
Graph NoSQL databases support data models with connected data and relationships. In this article, author discusses the security implications of graph database technology. He talks about the privacy and security concerns in use cases like graph discovery, knowledge management, and prediction.
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Q&A on the Book Scenario-Focused Engineering
The book Scenario-Focused Engineering describes a customer-centric lean and agile approach for developing and delivering software-based products. It provides ideas to understand customer needs based upon end-to-end experiences and for designing products in a customer-focused way using a fast feedback cycle.
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Full Stack Web Development Using Neo4j
When building a web application there are a lot of choices for the database. In this article, author discusses why Neo4j Graph database is a good choice as a data store for your web application if your data model contains lot of connected data and relationships.
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Q&A on the Book More Fearless Change
The book More Fearless Change: Strategies for Making Your Ideas Happen by Mary Lynn Manns and Linda Rising provides patterns that can be used to drive change in organizations in a sustainable way. It contains updated descriptions of the 48 patterns from the book Fearless Change and provides 15 new patterns.
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Mobile-First in Africa: How Mobile Phones are Changing Health Care in Africa
This mobile explosion in Africa is having a far larger impact than merely connecting people, it is creating a very large, low-cost distributed sensor network that has the potential to completely transform global health care. This article will explore the fight against malaria, counterfeit drug detection, grade stock-out prevention, and health education.
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Shaping Big Data Through Constraints Analysis
In this article, author Carlos Bueno describes a method for analyzing constraints on the shape and flow of data in systems. He talks about the factors useful for system analysis like working set & average transaction sizes, request & update rates, consistency, locality, computation, and latency. He also discusses big data architecture details of two use cases, movie streaming and face recognition.
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Deploying Microservices to AWS at Gilt: Introducing ION-Roller
Over a period of seven years, gilt.com has grown from an e-commerce start-up running a monolithic Ruby on Rails application to $1B luxury goods company operating a cloud-based microservice platform utilising Scala, Docker and AWS. This article introduces Gilt's ION-Roller continuous deployment application, and explains the history and motivations that lead to the creation of this tool.