InfoQ Homepage Enterprise Architecture Content on InfoQ
-
From Story to Roadmap – Tying It All Together
Sue Bramhall discusses how to tie together and create alignment between Tech and Business.
-
Implementing Governance
Dean Latchana discusses collaborative approaches which support teams to deliver value.
-
Big Data Legal Issues. GDPR and Contracts
Anton Tarasiuk discusses the legal issues that can be encountered when dealing with Big Data, GDPR and contracts.
-
Declarative APIs in an Imperative World
Tilde Thurium explains problems the Atom Editor team came across when they started using React as their UI framework, as well as the solutions they came up with.
-
Managing Privacy & Data Governance for Next Generation Architecture
Ayana Miller explores a governance framework for road mapping, resourcing, and driving decision-making for next generation of architecture with privacy by design.
-
Apache Kafka Event-streaming Platform for .NET Developers
Viktor Gamov reviews Kafka -internal architecture, fault-tolerance, message durability- and how the Confluent .NET client offers a framework for computation over streaming data.
-
RabbitMQ and Kafka
Zoe Vance, Madhav Sathe discuss the architecture and design of RabbitMQ and Kafka, and how that impacts performance, scalability and app design.
-
Business Agility – Increasing Your Organization’s Competitiveness
Dean Latchana addresses how organizations can handle market pressure and opportunity, covering closing the gap between vision and execution, determining strategic fit with the vision, and others.
-
Practical DDD: Bounded Contexts + Events => Microservices
Indu Alagarsamy talks about the intersection of Domain Driven Design as a software discipline with Messaging as a technology counterpart.
-
Automating Machine Learning and Deep Learning Workflows
Mourad Mourafiq discusses automating ML workflows with the help of Polyaxon, an open source platform built on Kubernetes, to make machine learning reproducible, scalable, and portable.
-
MLflow: An Open Platform to Simplify the Machine Learning Lifecycle
Corey Zumar offers an overview of MLflow – a new open source platform to simplify the machine learning lifecycle from Databricks.
-
Ludwig: A Code-Free Deep Learning Toolbox
Piero Molino introduces Ludwig, a deep learning toolbox that allows to train models and to use them for prediction without the need to write code.
