wg-serverless
thanos
wg-serverless | thanos | |
---|---|---|
7 | 66 | |
1,505 | 12,638 | |
0.1% | 0.7% | |
2.3 | 9.6 | |
3 months ago | 5 days ago | |
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.
wg-serverless
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Personal programming projects to improve my chances at a job (I have a homeserver)
Check out CNCF Projects. Contributing to some of these open source projects is a great way to gain skills and land a job.
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The quickest way to add an integration test to your kubernetes environment
would indicate if your cluster could retrieve content from cncf.io or if cncf.io is up.
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Stateless, Secretless Multi-cluster Monitoring in Azure Kubernetes Service with Thanos, Prometheus and Azure Managed Grafana
This solution builds upon well-established Cloud Native Computing Foundation (CNCF) open source projects like Thanos and Prometheus,together with a new managed services, Azure Managed Grafana, recently released in public preview. It allows for ephemeral clusters to still have updated metrics without the 2-hours local storage of metrics in the classic deployment of Thanos sidecar to Prometheus.
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DigitalOcean Functions: A powerful serverless computing solution
Not ELI5 but see https://github.com/cncf/wg-serverless/tree/master/whitepaper...
Some people go monolithic app but best practice is usually one function per route.
Traditional servers come with management overhead (e.g. defining/managing/monitoring scaling) and by using Serverless servers you avoid that overhead and optimize for good engineers which are almost always your bigger cost center.
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Serverless 101
github.com/cncf/wg-serverless/blob/master/w..
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Running Serverless Applications on Kubernetes with Knative
As stated in a white paper by the CNCF serverless working group, there are two primary serverless personas:
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Getting Started with CloudEvents and AsyncAPI
The CloudEvents specification is under the CNCF Serverless working group since 2018. The spec's purpose is describing event data in a common way. This is useful in many scenarios, for example, routing events to the appropriate subscribers depending on the type of the event. Since applications can use a lot of different transports to send and receive events, the CloudEvents spec is protocol-agnostic so it defines protocol bindings in order for the metadata to be correctly mapped for HTTP, AMQP, Kafka, etc.
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/
What are some alternatives?
asyncapi-to-postman - Creates a Postman collection from an AsyncAPI file.
mimir - Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
dotnet-nats-template - .NET template for NATS
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
generator - Use your AsyncAPI definition to generate literally anything. Markdown documentation, Node.js code, HTML documentation, anything!
cortex - A horizontally scalable, highly available, multi-tenant, long term Prometheus.
AKS - Azure Kubernetes Service
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
k8s-event-grid-bridge - A simple event bridge for Kubernetes native events to Azure Event Grid.
Telegraf - Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
ingress-nginx - Ingress-NGINX Controller for Kubernetes
istio - Connect, secure, control, and observe services.