oncall
distroless
oncall | distroless | |
---|---|---|
14 | 122 | |
3,240 | 17,781 | |
1.3% | 1.2% | |
9.9 | 9.4 | |
5 days ago | 1 day ago | |
Python | Starlark | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
oncall
- Oncall: Developer-friendly incident response with brilliant Slack integration
-
Show HN: I was frustrated with pricing of PagerDuty et al., so made it myself
Grafana OnCall is an OSS alternative (with a cloud offering) that works great out of the box if you are using Grafana/Grafana Alerting for monitoring your systems and want to have a pager-like system with phone/SMS/telegram integrations + it's own app. Best of all, it's self-hostable as well, which keeps me completely in control of my infra.
https://github.com/grafana/oncall
- Is there a free tool that can do a team rotation like pagerduty?
- Grafana OnCall's new on-call rotations editor with features for TZ-distributed teams is avaliable in OSS and Cloud!
-
Implement DevSecOps to Secure your CI/CD pipeline
Grafana OnCall: Developer-friendly incident response with phone calls, SMS, slack, and telegram notifications.
- Which startups are made using Django?
-
Grafana releases OnCall open source project
yes
- Grafana OnCall is not open source! Escalations, on-call rotations, slack notifications.
- GitHub - grafana/oncall: Developer-friendly incident response with brilliant Slack integration
- Grafana Oncall is now open source! https://github.com/grafana/oncall
distroless
-
Chainguard Images now available on Docker Hub
lots of questions here regarding what this product is. I guess i can provide some information for the context, from a perspective of an outside contributor.
Chainguard Images is a set of hardened container images.
They were built by the original team that brought you Google's Distroless (https://github.com/GoogleContainerTools/distroless)
However, there were few problems with Distroless:
1. distroless were based on Debian - which in turn, limited to Debian's release cadence for fixing CVE.
2. distroless is using bazelbuild, which is not exactly easy to contrib, customize, etc...
3. distroless images are hard to extend.
Chainguard built a new "undistro" OS for container workload, named Wolfi, using their OSS projects like melange (for packaging pkgs) and apko (for building images).
The idea is (from my understanding) is that
1. You don't have to rely on upstream to cut a release. Chainguard will be doing that, with lots of automation & guardrails in placed. This allow them to fix vulnerabilties extremely fast.
- Language focused Docker images, minus the operating system
-
Using Alpine can make Python Docker builds 50× slower
> If you have one image based on Ubuntu in your stack, you may as well base them all on Ubuntu, because you only need to download (and store!) the common base image once
This is only true if your infrastructure is static. If your infrastructure is highly elastic, image size has an impact on your time to scale up.
Of course, there are better choices than Alpine to optimize image size. Distroless (https://github.com/GoogleContainerTools/distroless) is a good example.
- Smaller and Safer Clojure Containers: Minimizing the Software Bill of Materials
-
Long Term Ownership of an Event-Driven System
The same as our code dependencies, container updates can include security patches and bug fixes and improvements. However, they can also include breaking changes and it is crucial you test them thoroughly before putting them into production. Wherever possible, I recommend using the distroless base image which will drastically reduce both your image size, your risk vector, and therefore your maintenance version going forward.
-
Minimizing Nuxt 3 Docker Images
# Use a large Node.js base image to build the application and name it "build" FROM node:18-alpine as build WORKDIR /app # Copy the package.json and package-lock.json files into the working directory before copying the rest of the files # This will cache the dependencies and speed up subsequent builds if the dependencies don't change COPY package*.json /app # You might want to use yarn or pnpm instead RUN npm install COPY . /app RUN npm run build # Instead of using a node:18-alpine image, we are using a distroless image. These are provided by google: https://github.com/GoogleContainerTools/distroless FROM gcr.io/distroless/nodejs:18 as prod WORKDIR /app # Copy the built application from the "build" image into the "prod" image COPY --from=build /app/.output /app/.output # Since this image only contains node.js, we do not need to specify the node command and simply pass the path to the index.mjs file! CMD ["/app/.output/server/index.mjs"]
-
Build Your Own Docker with Linux Namespaces, Cgroups, and Chroot
Lots of examples without the entire OS as other comments mention, an example would be Googles distroless[0]
[0]: https://github.com/GoogleContainerTools/distroless
-
Reddit temporarily ban subreddit and user advertising rival self-hosted platform (Lemmy)
Docker doesn't do this all the time. Distroless Docker containers are relatively common. https://github.com/GoogleContainerTools/distroless
-
Why elixir over Golang
Deployment: https://github.com/GoogleContainerTools/distroless
-
Reviews
Or use distroless image as it includes one, among others. https://github.com/GoogleContainerTools/distroless/blob/main/base/README.md
What are some alternatives?
goalert - Open source on-call scheduling, automated escalations, and notifications so you never miss a critical alert
iron-alpine - Hardened alpine linux baseimage for Docker.
NPushOver - Full fledged, async, .Net Pushover client
spring-boot-jib - This project is about Containerizing a Spring Boot Application With Jib
oncall - Oncall is a calendar tool designed for scheduling and managing on-call shifts. It can be used as source of dynamic ownership info for paging systems like http://iris.claims.
jib - 🏗 Build container images for your Java applications.
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
podman - Podman: A tool for managing OCI containers and pods.
questdb-slack-grafana-alerts - Example code for a tutorial for sending Slack alerts based on market data streamed to QuestDB
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
grafana-backup-tool - A Python-based application to backup Grafana settings by using the Grafana API
docker-alpine - Official Alpine Linux Docker image. Win at minimalism!