sloth
kube-metrics-adapter
Our great sponsors
| sloth | kube-metrics-adapter | |
|---|---|---|
| 11 | 3 | |
| 1,949 | 502 | |
| - | 5.4% | |
| 0.0 | 7.9 | |
| 2 months ago | 13 days ago | |
| Go | Go | |
| Apache License 2.0 | MIT License |
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.
sloth
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SLOscribe: embed SLO/SLI into GO source code
It’s a CLI that allows developers to embed SLO annotation into GO code as comments and generate Prometheus alert groups when paired with Sloth, https://github.com/slok/sloth.
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help setting SLIs/SLOs
SLOTH: https://github.com/slok/sloth
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Observability Mythbusters: Yes, Observability-Landscape-as-Code is a Thing
Note: Although it’s outside of the scope of this post to dig deep into this topic, in case you’re curious, you can check out what an OpenSLO YAML definition looks like here.
- Pyrra v0.3.0 released
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What you use for observability?
The actual hard part is standardizing all teams on SLI/SLO-based thinking. For that we're looking at tools like Sloth.
- How do you measure the reliability of a Kubernetes platform?
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Calculating Remaining Error Budget
Have a look at sloth (https://github.com/slok/sloth) which will help you generate SLOs and error budgets given a PromQL query. This might be easier than trying to calculate it yourself. Plus, it's "metrics as code" and OpenSLO spec compliant.
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openSLO
If you are in k8s and use Prometheus you could take a look at sloth: https://github.com/slok/sloth which can either generate the rules/alerts for you, or can run as an operator and allows you to write SLOs as k8s kinds.
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SLI/Error Budget Calculators and management
Check out https://github.com/slok/sloth
- SLO calculation
kube-metrics-adapter
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Handling long running tasks
PS: That’s the metrics adapter https://github.com/zalando-incubator/kube-metrics-adapter
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Monitor payload size per request
You can, but you have to generate the metric and get it into a monitoring service (commonly prometheus) so kube's external metrics subsystem can see it and HPA can react to it.
- EKS autoscaler based on redis queue length
What are some alternatives?
pyrra - Making SLOs with Prometheus manageable, accessible, and easy to use for everyone!
kube-state-metrics - Add-on agent to generate and expose cluster-level metrics.
slo-computer - SLOs, Error windows and alerts are complicated. Here an attempt to make it easy SLO Computer makes setting and monitoring SLOs for all your services intuitively seamless and blazingly fast. Community Support on Discord - https://discord.com/invite/Q3p2EEucx9
kube-prometheus - Use Prometheus to monitor Kubernetes and applications running on Kubernetes
kubernetes-vmware-autoscaler - Kubernetes autoscaler for vsphere
cloudprober - [Moved to cloudprober/cloudprober] An active monitoring software to detect failures before your customers do.
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
OpenSLO - Open specification for defining and expressing service level objectives (SLO)
helm-exporter - Export helm stats into the Prometheus format
stackset-controller - Opinionated StackSet resource for managing application life cycle and traffic switching in Kubernetes