When assessing technology that empowers a DevOps transformation, it’s easy to focus in on the headline capabilities (“configuration management!”) and miss out on the bigger picture. How can teams shipping cloud (or on-premises) applications use the full suite of DevOps technologies to simplify delivery and management at scale? This article classifies and explains key enabling technologies.
Mobile operations management (MOM) is one of the top priorities of today’s modern enterprise. While the first generation of MOM solutions evolved around the management of mobile devices and applications, organizations have quickly realized that an effective enterprise mobile infrastructure requires addressing a more difficult challenge: managing and securing mobile business data.
The database creates a real challenge for automation, hence participation in continuous processes. Scripting database objects change-scripts into traditional version or using 'compare & sync' tools is either an inefficient or risky thing to automate, as the two concepts are unaware of the other. A better solution needs to be implemented in the shape of Continuous Delivery and DevOps for database.
"In Search of Certainty", written by CFEngine's creator, Mark Burgess, takes us into a journey through physics and biology and how it relates to the information infrastructure realm.
The MLConf conference was going strong in NYC on April 11th and was a full day packed with talks around Machine Learning and Big Data, featuring speakers from many prominent companies.
John Kordyback explains why you should and how you can introduce Continuous Delivery into a typical enterprise, where dozens of systems adopted over the years generate massive complexity. 4
Andrew Phillips and Jenkins creator Kohsuke Kawaguchi review state-of-the-art plugins and solutions in the Jenkins ecosystem for achieving efficient, reproducible and secure delivery pipelines.
InfoQ reached out to experienced ops engineers to ask them what is “Immutable Infrastructure”, its borders as well as its benefits and drawbacks, in particular compared to desired state convergence. 1
Lambda Architecture proposes a simpler, elegant paradigm designed to process large amounts of data. In this article, author discusses Lambda Architecture with the help of a sample Java application. 5
This article provides an overview of tools and libraries available for embedded data analytics & statistics, both stand-alone software packages and programming languages with statistical capabilities.
Philipp K. Janert explains how to reliably auto-scale systems using a reactive approach based on feedback control which provides a more accurate solution than deterministic or rule-based ones.
The second edition of Stephen Nelson-Smith's book "Test-Driven Infrastructure with Chef" describes a testing workflow and tools for writing fully tested infrastructure code