InfoQ Homepage Architecture Content on InfoQ
-
Building a High-Performance Networking Protocol for Microservices
Robert Roeser and Arsalan Farooq talk about how techniques used in Fintech and Adtech can be used to improve performance in distributed applications.
-
Bayesian Optimization of Gaussian Processes with Applications to Performance Tuning
Ramki Ramakrishna discusses using Bayesian optimization of Gaussian processes to optimize the performance of a microservices architecture.
-
Graceful Degradation as a Feature
Lorne Kligerman talks about graceful degradation as an engineering goal which can be confidently tested with Chaos Engineering.
-
Opportunities and Pitfalls of Event-driven Utopia
Bernd Rücker goes over the concepts, the advantages, and the pitfalls of event-driven utopia. He shares real-life stories or points to source code examples.
-
Beyond Entitlements for Cloud-native
Chandra Guntur and Hong Liu show how they use Open Policy Agent with Spring Boot and HOCON to produce a responsibility management solution that scales to volume and performance needs.
-
Evolutionary Architecture
Rebecca Parsons discusses traditional approaches of evolutionary architecture showing how to use fitness functions and transition to an evolutionary architecture even in the face of legacy systems.
-
The Not-So-Straightforward Road from Microservices to Serverless
Phil Calçado discusses the fundamental concepts, technologies, and practices behind Microservices and Serverless.
-
Peloton - Uber's Webscale Unified Scheduler on Mesos & Kubernetes
Mayank Bansal and Apoorva Jindal present Peloton, a Unified Resource Scheduler for collocating heterogeneous workloads in shared Mesos clusters.
-
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.
-
Building Resilient Serverless Systems
John Chapin explains how to use serverless technologies and an infrastructure-as-code approach to architect, build, and operate large-scale systems that are resilient to vendor failures.
-
CockroachDB: Architecture of a Geo-Distributed SQL Database
Peter Mattis talks about how Cockroach Labs addressed the complexity of distributed databases with CockroachDB and gives a tour of CockroachDB’s internals.
-
Metrics-Driven Machine Learning Development at Salesforce Einstein
Eric Wayman discusses how Salesforce tracks data and modeling metrics in the pipeline to identify data and modeling issues and to raise alerts for issues affecting models running in production.