I'm trying to find a video that demonstrated automated container image updates for Kubernetes, similar to Watchtower for Docker. I believe the video was by @[email protected] but I can't seem to find it. The closest functionality that I can find to what I recall from the video is k8s-digester. Some key features that were discussed include:
- Automatically update tagged version number (eg - Image:v1.1.0 -> Image:v1.2.0)
- Automatically update image based on tagged image's digest for tags like "latest" or "stable"
- Track container updates through modified configuration files
- Ability to manage deploying updates through Git workflows to prevent unwanted updates
- Minimal (if any) downtime
- This may not have been in the video, but I believe it also discussed managing backups and rollback functionality as part of the upgrade process
While this tool may be used in a CI/CD pipeline, its not limited exclusively to Git repositories as it could be used to monitor container registries from various people or organizations. The tool/process may have also incorporated Ansible.
If you don't know which video I'm referring to, do you have any suggestions on how to achieve this functionality?
EDIT: For anyone stumbling on this thread, the video was Meet Renovate - Your Update Automation Bot for Kubernetes and More! by @[email protected], which discusses the Kubernetes tool Renovate.
That's true, but how often have you heard a finance team member wanting a CSV file so they can more easily process the data using Pandas or visualize it with MatPlotLib? How many accountants or finance people (especially those that ask for everything in Excel) do you know that is comfortable writing even a single line of Python code? How many of the finance team's Excel-based tools will Python integrate well with? What feature(s) does Python within Excel provide that Excel (formulas, pivot tables, VBA, Power Query, Power Pivot, etc.) does not provide that someone on the finance team would need? What advanced charting/dashboarding functionality does Python in Excel provide that isn't better accomplished in PowerBI (if not handled by standard Excel charts/graphs)?
Don't get me wrong - Microsoft's implementation of Python in Excel has its merits and will solve some problems that otherwise would not be possible in Excel and will make some people happy. However, this is not the solution most people were expecting, asking for, or find useful.