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  1. ShinyProxy is a preferred solution to deploy data science apps in an enterprise context (, , , notebooks, IDEs and more).

    In its newest release 3.2.1, a number of improvements to the ECS backend have been implemented for a fully managed container orchestration on AWS. Also, it contains a security update with multiple fixes for XSS vulnerabilities.

    For more info: check out the release notes at oa.eu/laE4lS

  2. ShinyProxy 3.2.0 is now available!

    The biggest step forward is the ShinyProxy Operator for Docker which brings the comfort of the Kubernetes operator to Docker-based deployments.

    Also, the monitoring stack has been further enhanced.

    You can find the details in this blog post oa.eu/YAE2B8 and the full release notes are available at oa.eu/yDPQ9l

  3. New publication: a novel quantitative method to validate accurate scale-up of chemical reactions in real time.

    Discover the full methodology at oa.eu/E4xb6X

  4. ShinyProxy 3.1.0 now allows to instantly access your apps through container pre-initialization. Moreover, it supports container sharing for massive public deployments (sharing multiple users per container). Also, there is a new backend allowing to use AWS ECS (instead of , or Docker Swarm).

    For an introductory blog post, see oa.eu/Uod85E.

    Full release notes available here: oa.eu/9OO2AV.

  5. The expiry dates on products in your local pharmacy are the result of extensive research
    and experiments. We recently published Bayesian methodology to predict shelf life in a more robust
    and interpretable way. For the science behind a simple date on a packet of pills, look at our AAPS SciTech paper here: oa.eu/soBMjH

  6. We published a GitHub repository oa.eu/mLjp3g
    containing a comprehensive monitoring set up for on . The repository contains all Kubernetes manifests
    required to set up and integrate Prometheus, Loki and Grafana.
    Read more in our blog post oa.eu/VpKMf9