thanos
kaniko
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thanos | kaniko | |
---|---|---|
66 | 49 | |
12,577 | 13,882 | |
1.0% | 2.0% | |
9.6 | 9.5 | |
5 days ago | 6 days ago | |
Go | Go | |
Apache License 2.0 | 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.
thanos
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Looking for a way to remote in to K's of raspberry pi's...
Monitoring = netdata on each RPi https://www.netdata.cloud/ binded to the vpn interface being scraped into a prometeus thaons https://thanos.io/ setup with grafana to give management the Green all is good screens (very important).
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thanos VS openobserve - a user suggested alternative
2 projects | 30 Aug 2023
- FLaNK Stack Weekly for 24 July 2023
- FLaNK Stack Weekly for 10 July 2023
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Monitoring multiple kubernetes cluster with single Prometheus operator
Sounds like you want something like Thanos
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Is anyone frustrated with anything about Prometheus?
Yes, but also no. The Prometheus ecosystem already has two FOSS time-series databases that are complementary to Prometheus itself. Thanos and Mimir. Not to mention M3db, developed at Uber, and Cortex, then ancestor of Mimir. There's a bunch of others I won't mention as it would take too long.
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Thousandeyes Pricing Model
Long term storage all depends on your needs and sophistication. I use Thanos for our system since it has an extremely flexible scaling system. But there is also Grafana Mimir. They're both similar in that they use Prometheus TSDB format as part of the underlying storage. One nice Thanos advantage is that it does do downsampling in addition to being able to store raw metric data for a long time. It will auto-select downsampled data to make requests faster.
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Monitoring many cluster k8s
You can aggregate all your clusters Prometheus metrics together with a wonderful tool called Thanos. This will allow you to use just a single Grafana instance against Thanos and using a label select which cluster you wish to see metrics from. The downside of this, is that none of the Grafana dashboards from the internet will work as-is. You'll need to customize all of them for Thanos support. The other downside is, you have a single point of failure, and (see next item) you can't customize who can access what in regards to your dev vs production data/metrics/access.
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Best unicorn monitoring system?
Depending on how you want to set things up, you can use Thanos or Mimir to create the single-pane-of-glass view of your data.
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Prometheus vs EFS: I don't know who to believe
You could look at something like Thanos and store your data in S3: https://thanos.io/
kaniko
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Using AKS for hosting ADO agent and using it to build and test as containers
If all you need to do is build container, you can use https://github.com/GoogleContainerTools/kaniko
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Building Cages - Creating better DX for deploying Dockerfiles to AWS Nitro Enclaves
Kaniko for building the container images
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Container and image vocabulary
kaniko
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EKs 1.24 Docker issue
You should maybe look into Kaniko or use some other build tool
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Schedule on Least Utilized Node
If you are using the docker socket just for building container images, you might want to look into kaniko. It doesn't use docker to build images. If you use the socket also for starting containers (we are actually doing that in our CI pipelines), you could think about limiting the pods Kubernetes schedules on a node (you can change the default of 110 using the kubelet config file).
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Are there tools you can use to improve your docker containers like Docker Slim?
Check out Kaniko for building containers https://github.com/GoogleContainerTools/kaniko . Only issue is it doesnt support windows containers.
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You should use the OpenSSF Scorecard
It took less than 5 minutes to install. It quickly analysed the repo and identified easy ways to make the project more secure. Priya Wadhwa, Kaniko
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Run Docker from within AWS Lambda?
I'd suggest to take a look at the Kaniko project, combined with custom container images in Lambda functions.
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Faster Docker image builds in Cloud Build with layer caching
kaniko is a tool that allows you to build container images inside Kubernetes without the need for the Docker daemon. Effectively, it allows you to build Docker images without docker build.
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Switching from docker-compose to k3s - what is needed ?
Kubernetes prefers to pull containers from registries. You may be able to work around it by specifying a local image in your Kube manifest. Both https://github.com/GoogleContainerTools/kaniko and/ or https://www.devspace.sh/ may help.
What are some alternatives?
mimir - Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
podman - Podman: A tool for managing OCI containers and pods.
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
buildah - A tool that facilitates building OCI images.
cortex - A horizontally scalable, highly available, multi-tenant, long term Prometheus.
buildkit - concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
jib - 🏗 Build container images for your Java applications.
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...
istio - Connect, secure, control, and observe services.
skopeo - Work with remote images registries - retrieving information, images, signing content