Sharing documents with colleagues, customers and suppliers while collaborating on them is part of everyday life in many companies. But is this data exchange also secure?
Use cases for home office, customer interactions, team meetings, bilateral, formal and supplier interactions are determining the requirements for remote working.
JupyterLab is the most widely used data science / machine learning IDE. Deploying it on OpenShift / Kubernetes adds another layer of flexibility in terms of convenience, resource allocation and horizontal scaling across user groups.
The Covid 19 pandemic is accelerating the digitalisation of the economy and society on an unprecedented scale. Cloud services are proving to be a fast and efficient solution in this phase. What does this mean for companies?
The Safe Swiss Cloud management team took a number of steps to ensure business continuity during the virus outbreak. Our first priority was to take measures to reduce risk to the health of our employees. Secondly to ensure that all our services and support would continue to function without interruption.
A lot has happened at Safe Swiss Cloud in the past few months – and we decided that a new look and feel for our website would be a good way of highlighting the new Safe Swiss Cloud.
Why we back the Contract for the Web, an initiative by the World Wide Web Foundation in November 2019
Companies that use IT services from the cloud will find answers to the most important questions about the CLOUD Act here.
Containers and microservices have revolutionized the deployment of enterprise software. Only one industry still behaves very sluggishly when transferring your applications to cloud containers: banks and financial service providers. But there are also successful counter-examples.
At Safe Swiss Cloud, we hear from software developers time and again that with dedicated Openshift clusters, the benefits of deployment in the cloud can be perfectly exploited. Red Hat’s Platform-as-a-Service OpenShift enables faster development, deployment, monitoring and scaling of applications in docker containers. The feedback is almost always similar: