machinery
charts
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machinery | charts | |
---|---|---|
14 | 88 | |
7,292 | 8,391 | |
- | 2.5% | |
5.3 | 10.0 | |
5 days ago | 7 days ago | |
Go | Smarty | |
Mozilla Public License 2.0 | GNU General Public License v3.0 or later |
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.
machinery
- Looking for library recommendations: Django -> Golang port
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Are there any actively maintained or official Golang libraries for managing work queues?
I've had this project starred for a while but haven't used it: https://github.com/RichardKnop/machinery
- Looking for a mature distributed task queuer/scheduler in go
- What would be a good message broker internal to my program?
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Golang task queue
I had a look at: 1. machinery - https://github.com/RichardKnop/machinery 2. go-celery - https://github.com/gocelery/gocelery 3. asynq - https://github.com/hibiken/asynq 3. taskq - https://github.com/vmihailenco/taskq
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is there any go library that allows running background tasks after a specified period of time?
you mean a scheduler? try RichardKnop/machinery or hibiken/asynq
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Using a High-Level RabbitMQ Client in Go
I use this one: https://github.com/RichardKnop/machinery
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Do you know of a robust library that handles persistent job scheduling and queuing using PostgreSQL
I’ve also used https://github.com/RichardKnop/machinery for for a few projects and it’s solid.
- Distributed asynchronous tasks?
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Any one knows a job worker project (like Celery) + distributed cron written in Go
Machinery is an asynchronous task queue/job queue based on distributed message passing.
charts
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Coexistence of containers and Helm charts - OCI based registries
Both of these examples seem pretty obvious and something you wouldn’t mess up, but as your chart grows, so does your values.yaml file. A great example is the Redis chart by Bitnami. I encourage you to scroll through its values file. See you in a minute!
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How to deploy and manage a RabbitMQ cluster on Amazon EKS using Terraform and Helm
We will write a Terraform module that will take a list of configurations for each required RabbitMQ instance. Luckily for us, we don't have to write the Kubernetes yaml configurations since the helm charts by Bitnami does a great job of doing all the things we discussed above. All we need to do is leverage Terraform Helm Provider and deploy the chart with the required values for our use case.
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Master Helm, Chart the Kubernetes Seas 🌊🧭🏴☠️
💡 The full details of helm charts can be referenced in their associated GitHub Repository.
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Bitnami Kibana dashboard import
I have a configmap with the ndjson set up under data:, similar to https://github.com/bitnami/charts/issues/6159 and it's subsequent answer.
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Deploy Kubernetes Helm Charts in Minutes
This way, you can easily deploy any Helm charts from this public repo - https://github.com/bitnami/charts/tree/main/bitnami in just minutes.
- [Kubernetes] Comment déployez-vous un cluster Postgres sur Kubernetes en 2022?
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Is there any tutorial, blog post that shows you how to use the bitnami-mysql helm chart?
The Bitnami Github Pages themselves usually cover everything you need to know. Configure a values.yaml file, or modify that to your liking, and you run helm install, as written in their docs.
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Dynamic Volume Provisioning in Kubernetes with AWS and Terraform
The actual reason that our pods are not coming up is found when we review the helm installation that we are trying to run. If you check the dependencies in the GitHub repository (https://github.com/bitnami/charts/blob/main/bitnami/drupal/values.yaml) you find out that persistent storage is enabled by default and set to 8Gi. Also, the helm package uses MariaDB and the database size is specified to a default of 8Gi, thus setting the minimum storage for this installation to be 16Gi.
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Experience setting up Spark and Hudi on Kubernetes
We're using https://github.com/bitnami/charts/tree/main/bitnami/spark, but I have heard good things about https://github.com/GoogleCloudPlatform/spark-on-k8s-operator as well. Hudi should not need any long running deployments as per the docs https://hudi.apache.org/docs/0.5.1/deployment/#deploying
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"helm crearte" command for bitnami charts/common Library?
Bitnami has its own scaffolding published at https://github.com/bitnami/charts/tree/main/template
What are some alternatives?
Asynq - Simple, reliable, and efficient distributed task queue in Go
helm-charts - A curated set of Helm charts brought to you by codecentric
gocelery - Celery Distributed Task Queue in Go
oauth2-proxy - A reverse proxy that provides authentication with Google, Azure, OpenID Connect and many more identity providers.
celery - Distributed Task Queue (development branch)
renovate - Universal dependency automation tool.
go-nsq - The official Go package for NSQ
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
temporal - Temporal service
kube-thanos - Kubernetes specific configuration for deploying Thanos.
Confluent Kafka Golang Client - Confluent's Apache Kafka Golang client
kubegres - Kubegres is a Kubernetes operator allowing to deploy one or many clusters of PostgreSql instances and manage databases replication, failover and backup.