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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
If the intent of the redesign was to make this more apparent, it also failed in that goal. Old and new both look like a fox.
Old(er) tanuki-like logo for comparison https://gitlab.com/gitlab-com/gitlab-artwork/-/blob/9b07772f...
GitLab team member here.
> Does this mean I can ewrite a web app, put the source on GitLab and have GitLab run the web app (ideally with very minimal hassle)?
Cloud Seed aims to make this easier, deploying the web application with minimal effort to your preferred cloud. More details in https://docs.gitlab.com/ee/cloud_seed/ and https://hello.cloudseed.app/ - it is a joint project from Google Cloud and GitLab.
In case you run your web app in a containerized stack, and prefer to deploy to Kubernetes, the integration with the Agent for Kubernetes has been greatly improved: https://docs.gitlab.com/ee/user/clusters/agent/
If you are looking to host static web apps (e.g. Hugo, etc.), GitLab Pages can help. More ideas in this blog post to choose a static site generator (SSG): https://about.gitlab.com/blog/2022/04/18/comparing-static-si...
> If not, what does it mean? What is Gitlab letting me do now than (a) it didn't do before (b) Github doesn't do?
Depending on which version you are at, new releases add features every month on the 22nd. GitLab 14.10 https://about.gitlab.com/releases/2022/04/22/gitlab-14-10-re... added the GitLab Runner Operator for Kubernetes for example. That's an integration after the create (SCM) and verify (CI) stage, ensuring that cloud native deployments deploy applications, and maintenance levels follow best practices. There are more stages in the DevOps lifecycle, such as package and release or protect and secure.
Observability for deployed applications, and ensuring that performance regressions do not reach production is also a very hot topic imho (shameless plug: join my talk at KubeCon EU to chat more https://kccnceu2022.sched.com/event/yttd?iframe=no :))
With regards what you can do now - I've written a blog post about my favourite hacks in GitLab a while ago, maybe there are some features or workflows that are useful for your environment: https://about.gitlab.com/blog/2021/10/19/top-10-gitlab-hacks...
That said, GitLab 15.0 is around the corner, coming May 22. https://about.gitlab.com/upcoming-releases/ I'm personally most excited about the Podman support for GitLab runner, helping with containerized CI/CD infrastructure as alternative to Docker as executor.
The GitLab direction handbook provides more insights for future plans: https://about.gitlab.com/direction/ Recommend diving into the stages and review based on your requirements, or potential new ideas and use cases. If you miss anything, please open feature proposals to collaborate: https://gitlab.com/gitlab-org/gitlab/-/issues Thanks :)
Hello - I am the product manager for Runner. The SIGTERM-related issues have been quite complex due to the different execution environments in which the Runner can operate. Can you add the details of your use case and workaround to the issue below? We need to take another look at this functionality, given the various reports of inconsistent behavior with long-running processes.
https://gitlab.com/gitlab-org/gitlab-runner/-/issues/27443
I have been following OneDev and seems like it is going to be a good contender.
https://github.com/theonedev/onedev
https://gitlab.com/api/v4/projects/username%2Fproject/jobs/artifacts/master/raw/dist/tarball.tar.gz?job=make_tarball