InfoQ Homepage Architecture Content on InfoQ
-
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.
-
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.
-
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.
-
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.
-
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.
-
Why DesignOps Matters: How to Improve Your Design Processes
DesignOps is a combination of practices and a mindset that improves design workflow, facilitates designer-developer handoffs, enhances the way products and services are crafted, and enables projects to evolve at a faster pace. Design processes may be more complex, dispersed and chaotic than they should be. There are ways to adapt to digital transformation and establish well-functioning DesignOps
-
Why DevOps Governance is Crucial to Enable Developer Velocity
The application environment should be managed centrally by the DevOps team. This allows them to better track modifications and changes which would then be swift and transparent to developer teams.
-
How to Spark a Consumer-Grade UX Revolution
Turning end-users into advocates is one of the most powerful things SaaS companies can accomplish today. This can be a major project for a company, but it’s a revolution that can start small - and start today. Here we cover how to kick-off, manage, implement and iterate upon adding consumer-grade UX to the services that you own.
-
Architectural Frameworks, Patterns, and Tactics Are No Substitute for Making Your Own Decisions
Software frameworks greatly amplify a team’s productivity, but also make implicit decisions. The benefits and limitations must be understood because of the impact on the resulting system architecture.
-
Open-Source Testing: Why Bug Bounty Programs Should Be Embraced, Not Feared
The growing importance of the Web3 ecosystem based on blockchains shows how important community test programs are. Some within the testing community see this trend as a threat. However, it is actually an opportunity. Bug bounties and open-source test contributions are a great tool for test teams, and there is every reason for testers to embrace this new trend rather than to fear it.
-
How Development Teams Can Orchestrate Their Workflow with Pipelines as Code
Infrastructure as Code was just the beginning. Configuration as Code followed shortly after – again becoming extremely commonplace and enabling organisations to scale their engineering capacity by a number of times. And in order to continuously increase the value development teams generate, Pipelines as Code is the natural consequence.
-
Using GraphQL and Ballerina with Multiple Data Sources
The Ballerina programming language is well-suited to developing GraphQL applications, due to the network abstractions, network-aware type system, clear data representations, and visual diagrams. This article discusses the benefits of GraphQL and Ballerina, and walks through a sample application that retrieves data from a database and a 3rd-party API.