InfoQ Homepage Articles
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Article Series: Continuous Architecture
In this series of articles, the authors reframe software architecture in terms of decisions that teams make about how their system will handle its quality attribute requirements (QARs). In their view, software architecture, reframed in terms of decisions, completes the picture of how the system works by making clear the choices that the team has made, and why.
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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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AutoML: the Promise vs. Reality According to Practitioners
Automation to improve machine learning projects comes from a noble goal, but true end-to-end automation is not available yet. As a collection of tools, AutoML capabilities have proven value but need to be vetted more thoroughly. Findings from a qualitative study of AutoML users suggest the future of automation for ML and AI rests in the ability for us to realize the potential of AutoMLOps.
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Java Champion James Ward on the State of Java and JVM Languages
James Ward is a Java Champion and Google’s Kotlin product manager. In a podcast, Ward agreed that “people are still trapped in the Java world” and called default mutability in Java the “trillion-dollar mistake”. In this interview, he speaks about the state of Java, JVM languages, mutability, and functional programming.
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How to Speed up Large Collections Processing in Java
A review on Java performance for many objects using Java Collections or alternative collections, with the impact of serial vs. parallel streams. For some streaming data sets, parallel processing can be slower than the default.
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What Does Zero Trust Mean for Kubernetes?
Zero trust is a powerful security model that’s at the forefront of modern security practices. It’s also a term that is prone to buzz and hype, making it hard to cut through the noise. So what is zero trust, exactly, and for Kubernetes, what does it mean in concrete terms? In this article, we’ll explore what zero trust is from an engineering perspective.
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POCs, Scrum, and the Poor Quality of Software Solutions
POCs and Scrum can play a critical role in implementing Quality software solutions. Poor quality often starts with a POC that was prematurely turned into the development pipeline. Scrum short sprints often create an environment most conductive to working reactively to constantly-changing requirements making it hard for developers to prioritize and achieve Quality over the course of the project.
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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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Employing Team-Based Agile Coaching to Establish SRE in an Organization
Establishing SRE in a software delivery organization typically requires a socio-technical transformation. Operations teams need to learn how to provide a scalable SRE infrastructure to enable development teams to run their services efficiently. This paper presents how agile coaching has been employed to run an SRE transformation in a 25-teams strong product delivery organization.
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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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Chipping Away at the Monolith: Applying MVPs and MVAs to Legacy Applications
Legacy applications actually benefit the most from concepts like a Minimum Viable Product (MVP) and its related Minimum Viable Architecture (MVA). Once you realize that every release is an experiment in value in which the release either improves the value that customers experience or doesn’t, you realize that every release, even one of a legacy application, can be thought of in terms of an MVP.