Latest containers publications
As DevOps Technical Lead at Virgin Atlantic, Martyn Coupland has two primary responsibilities. First, he is one of the subject matter experts for the airline’s Microsoft Azure platform and the subject matter expert for the Azure toolset which enables its DevOps program.
In addition to the technical legwork, Martyn also provides expertise “around the softer side of DevOps” – in other words, the people and process side of things: “As technology changes, people change and processes change. DevOps will always be here to ensure all three sit together and provide real value,” he explains. “This allows not just technology teams at Virgin Atlantic but other parts of the business to adopt DevOps methodologies.”
For Dave Whyte, operations lead at UK automotive marketplace Auto Trader, a combination of Google Kubernetes Engine and an Istio service mesh has made the company’s DevOps dish taste even sweeter. At this year’s DevOps Live in London, Dave will explain why the centralised platform the company has built using the two tools is “the DevOps dream.”
The combination is a powerful weapon. But what are Kubernetes and Istio’s respective roles in the new environment?
IBM today took the wraps off a new project that aims to bring Cloud Foundry to Red Hat’s OpenShift container platform.
The company showcased the experimental project at the Cloud Foundry Summit in The Hague, with TechCrunch reporting that IBM plans to turn the concept into a fully-fledged project that will allow Cloud Foundry users to deploy applications to OpenShift, while providing OpenShift customers with the Cloud Foundry experience.
Developers exercise significant autonomy over the purchasing decisions of enterprises embracing cloud computing and hybrid strategies, according to new research released by IDC, that surveyed 2,500 developers.
AWS released containers for machine learning applications in March Google Cloud Platform (GCP) has launched Deep Learning Containers, portable and consistent environments for developing, testing and deploying machine learning applications. The docker images, released in beta, work on cloud, on-premises, and across GCP products and services, including Google Kubernetes Engine (GKE), AI Platform, Cloud Run,… Read More