InfoQ Homepage Enterprise Architecture Content on InfoQ
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Build, Test, and Deploy Scalable REST APIs in Go
In this article, we'll look at how to use the gin framework to create a simple Go application. We will also learn how to use CircleCI, a continuous deployment tool, to automate testing and deployment.
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Are They Really Using It? Monitoring Digital Experience to Determine Feature Effectiveness
This article reflects on the challenges of determining user experience and effectiveness and how modern techniques such as Real User Monitoring and Application Performance Monitoring can determine the true effectiveness of features. It includes stories from banking to show which measures can help agile teams determine not only if features are being used, but diagnose other common issues too.
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Using Remote Agile Governance to Create the Culture Organisations Need
Governance and culture are inextricably intertwined, and creating an environment where people thrive is the most important governance responsibility. Sadly, in many organisations governance is perceived as slowing things down and impeding progress, yet effective governance is an enabler that removes blockages and enables flow.
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Code Red: the Business Impact of Code Quality
Everyone in the software industry “knows” that code quality is important, yet we never had any data or numbers to prove it. In this article, we explore the impact by diving into recent research on code quality. With twice the development speed, 15 times fewer bugs, and a significant reduction of uncertainty in completion times, the business advantage of code quality is unmistakably clear.
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Building an Effective Incident Management Process
A good incident management framework can help organizations manage the chaos of an outage more effectively leading to shorter incident durations and tighter feedback loops. This article introduces the components necessary for a healthy incident management process.
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Accessing Agile Games as a Tool in Transformation and Change
This article puts the usage of Agile Games into a broader business context and introduces the steps needed to make any game a verifiable contribution to a given business objective. As “business” is a wide area of topics to be addressed, the article focuses on accessing Agile Games as a tool used within transformation and change. It provides an example that was taken from this area.
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DevOps at Schneider: a Meaningful Journey of Engaging People into Change
Adopting DevOps at Schneider started with building a case for change. Tech people were engaged into change by organizing learning and collaboration sessions and getting feedback from the front lines. Change is hard and without leadership support, dedicated time for developers to really digest it and continual reinforcement and conversation, it will be challenging to be successful.
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Choosing the Right Cloud Infrastructure for Your SaaS Start-up
As a solutions architect, I have been designing SaaS applications for years and I have seen start-ups struggle to find the right cloud infrastructure and improve their product offering. These experiences prompted me to write this article as a tool to help companies make a pragmatic fact and data-driven decision.
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Building Workflows with AWS Step Functions
AWS Step Functions use a state machine to represent the workflow. A workflow consists of a set of tasks, each of which represents a discrete activity to be performed. Each task is defined by a state of the state machine. In this article, we will learn about the main concepts of AWS Step Functions and apply those to build a workflow for a sample business process: Order Fulfillment.
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The Implication of Feedback Loops for Value Streams
Lead time and throughput are dynamic variables which impact flow in a value stream. Capacity, processing time and feedback loops (such as error conditions) have a significant impact on WIP and flow and need to be mapped and measured when building value stream maps.
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Business Systems Integration is about to Get a Whole Lot Easier
A new breed of integration software is arising that syncs business data into a simplified data hub and then syncs that data to the destination system. The benefit of this integration pattern is that it reduces the number of manual transformations required (often to zero) and makes it easier to write manual transformations when you have to.
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Streaming-First Infrastructure for Real-Time Machine Learning
This article covers the benefits of streaming-first infrastructure for two scenarios of real-time ML: online prediction, where a model can receive a request and make predictions as soon as the request arrives, and continual learning, when machine learning models are capable of continually adapting to change in data distributions in production.
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