InfoQ Homepage Cloud Computing Content on InfoQ
-
Continuous Delivery: Tools, Collaboration, and Conway's Law
Matthew Skelton shares his recent experience of helping many different organisations to evaluate and select tools to facilitate DevOps and Continuous Delivery.
-
The Rationale for Continuous Delivery (The culture and practice of good software development)
Dave Farley discusses the problems raised by inefficient processes creating poor quality output, too late to capitalise on the expected business value, and proposes solutions to them.
-
Making Continuous Delivery Work for You: The Songkick Experience
Amy Phillips explains how the core principles can be used to drive process change and how their team removed many of the delays and frustrations from their release process.
-
Implementing Continuous Delivery: Adjusting Your Architecture
Rachel Laycock focuses on the architecture of an application, addressing patterns such as microservices and evolutionary architecture, which can speed up delivery.
-
Evolutionary Architecture and Microservices - A Match Enabled by Continuous Delivery
Rebecca Parsons explores the relationship between evolutionary architecture, continuous delivery and microservices, focusing on how they support each other in the creation of complex systems.
-
Can Agile Work for Off-the-shelf Software?
Ceri Shaw, Adrian Banks discuss the challenges and rewards of Agile when working on an enterprise software product and contrast them with working in a more traditionally Agile SaaS setting.
-
Deis + Mesos: Docker PaaS at Scale
Gabriel Monroy demonstrates using Deis to orchestrate Docker deployments, as well as Deis' integration with popular schedulers like Fleet, Mesos, and Kubernetes.
-
Continuous Delivery the French Way!
Arnaud Pflieger, Baeli Dimitri present their practices and tools: Octopus-a git branching model, no dedicated testers, no ops, Selenium, Zeno – a diff tool comparing production and staging code.
-
Cloud-scale Event Processing using Rx
Bart De Smet explains what it took to bring the concepts of Reactive Extensions (Rx) to the cloud to deal with latency, scale, reliability, and other concerns.
-
Better Together - Using Spark and Redshift to Combine Your Data with Public Datasets
Eugene Mandel discusses challenges of conforming data sources and compares processing stacks: Hadoop+Redshift vs Spark, showing how the technology drives the way the problem is modeled.
-
Containerization Is More than the New Virtualization
Jérôme Petazzoni borrows from his experience at Docker Inc. to explain live applications running in Docker, including reading logs, remote access, and troubleshooting tips.
-
Real-world Docker: Past, Present, and Future
Jeff Lindsay talks about the history and future of Docker, and shares some of his cutting-edge tooling for deploying systems with Docker.