benchmark-workers
Pre-written workflows and activities useful for benchmarking Temporal (by temporalio)
kube-prometheus
Use Prometheus to monitor Kubernetes and applications running on Kubernetes (by prometheus-operator)
| benchmark-workers | kube-prometheus | |
|---|---|---|
| 1 | 41 | |
| 12 | 6,372 | |
| - | 1.2% | |
| 5.9 | 8.7 | |
| 13 days ago | 4 days ago | |
| Go | Jsonnet | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
benchmark-workers
Posts with mentions or reviews of benchmark-workers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-15.
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Scaling Temporal: The Basics
To create load on a Temporal Cluster, we need to start Workflows and have Workers to run them. To make it easy to set up load tests, we have packaged a simple Workflow and some Activities in the benchmark-workers package. Running a benchmark-worker container will bring up a load test Worker with default Temporal Go SDK settings. The only configuration it needs out of the box is the host and port for the Temporal Frontend service.
kube-prometheus
Posts with mentions or reviews of kube-prometheus.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-03.
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Upgrading Hundreds of Kubernetes Clusters
The last one is mostly an observability stack with Prometheus, Metric server, and Prometheus adapter to have excellent insights into what is happening on the cluster. You can reuse the same stack for autoscaling by repurposing all the data collected for monitoring.
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Unfork with ArgoCD
kustomize Kube Prometheus
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Smart-Cash project -Adding monitoring to EKS using Prometheus operator
On the other hand, the Kube-prometheus project provides documentation and scripts to operate end-to-end Kubernetes cluster monitoring using the Prometheus Operator, making easier the process of monitoring the Kubernetes cluster.
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Scaling Temporal: The Basics
For our load testing we’ve deployed Temporal on Kubernetes, and we’re using MySQL for the persistence backend. The MySQL instance has 4 CPU cores and 32GB RAM, and each Temporal service (Frontend, History, Matching, and Worker) has 2 pods, with requests for 1 CPU core and 1GB RAM as a starting point. We’re not setting CPU limits for our pods—see our upcoming Temporal on Kubernetes post for more details on why. For monitoring we’ll use Prometheus and Grafana, installed via the kube-prometheus stack, giving us some useful Kubernetes metrics.
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How do you set up Grafana alert for your cluster? Which mixins library?
The 2 most common approaches I have seen are kube-prometheus-stack and kube-prometheus..
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Issues with "victoria-metrics-k8s-stack", monitoring k8s targets
- I'm missing a lot of the Grafana dashboards that are provisioned during the deployment, not sure why as it has worked before, and wanted to add them after install... I believe it's different ConfigMaps like the one in kube-prometheus but I was wondering if there's a way to force provisioning them all again at once (multiple k8s, node_exporter, vm, etc)?
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what metrics are most important for checking kubernetes cluster health?
Check out the kube Prometheus project -- https://github.com/prometheus-operator/kube-prometheus It's a bit heavy, but the included recording rules and dashboards give you a great start at understanding your cluster.
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Easy Prometheus/Grafana Setup With Dashboards Repo
The actual link to the prometheus/grafana bundle: https://github.com/prometheus-operator/kube-prometheus
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How To Configure Kube-Prometheus
Here’s a list of what’s installed: https://github.com/prometheus-operator/kube-prometheus/tree/main/manifests
- How to install a user managed Prometheus and Grafana instance on OpenShift 4?
What are some alternatives?
When comparing benchmark-workers and kube-prometheus you can also consider the following projects:
temporal - Temporal service
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
helm-charts - Prometheus community Helm charts
prometheus-operator - Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes
kube-thanos - Kubernetes specific configuration for deploying Thanos.
sloth - 🦥 Easy and simple Prometheus SLO (service level objectives) generator
descheduler - Descheduler for Kubernetes
ansible-prometheus - Deploy Prometheus monitoring system
kube-state-metrics - Add-on agent to generate and expose cluster-level metrics.
vector - A high-performance observability data pipeline.
charts - Bitnami Helm Charts
kube-libsonnet - Bitnami's jsonnet library for building Kubernetes manifests
benchmark-workers vs temporal
kube-prometheus vs metrics-server
kube-prometheus vs helm-charts
kube-prometheus vs prometheus-operator
kube-prometheus vs kube-thanos
kube-prometheus vs sloth
kube-prometheus vs descheduler
kube-prometheus vs ansible-prometheus
kube-prometheus vs kube-state-metrics
kube-prometheus vs vector
kube-prometheus vs charts
kube-prometheus vs kube-libsonnet