inngest
keda
| inngest | keda | |
|---|---|---|
| 6 | 91 | |
| 1,406 | 7,758 | |
| 5.3% | 1.4% | |
| 9.9 | 9.5 | |
| 1 day ago | 6 days ago | |
| Go | Go | |
| GNU General Public License v3.0 or later | 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.
inngest
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Show HN: Inngest – Developer platform for background jobs and workflows
The executor, queue, state, drivers, etc. are all on Github (https://github.com/inngest/inngest).
Over the last year we've been iterating on the internals a lot to build things like:
- Concurrency (shared nothing, auto-scalable)
- Batching (have one fn run with 100 events, vs 1:1 mapping)
- Prioritization
- Replay
- Parallelization
The churn has been really high, and it would be really hard for people to handle this migrations being self hosted. Now that this is slowing, it's realistically something that's possible soon.
- Inngest
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Building infrastructure for an open-source programmable zapier
Feel free to comment here or on Github at https://github.com/inngest/inngest.
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Show HN: Inngest – an open-source event-driven queue
Ha, knew this would come up. We have an issue to move code to GPL after some time: https://github.com/inngest/inngest-cli/issues/136.
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Rabbitmq retry
You can use something like https://github.com/inngest/inngest-cli to run golang-based functions as a queue without infra.
keda
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Ask HN: What's the right way to scale K8s for GPU workloads?
It seems you want something like KEDA (https://keda.sh)
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Tortoise: Shell-Shockingly-Good Kubernetes Autoscaling
Most just utilize out of the box macro resources available in HPA.
For more advanced use cases there is keda - https://keda.sh/
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Root Cause Chronicles: Quivering Queue
Thankfully KEDA operator was already part of the cluster, and all Robin had to do was create a ScaledObject manifest targeting the Dispatch ScaleUp event, based on the rabbitmq_global_messages_received_total metric from Prometheus.
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Five tools to add to your K8s cluster
Keda
- K8s latencies in chained services - Using RL?
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Best Kubernetes DevOps Tools: A Comprehensive Guide
KEDA introduces event-driven scaling to Kubernetes workloads. It integrates with Kubernetes Horizontal Pod Autoscalers and can scale pods based on external metrics from services like databases and message queues (Kafka, RabbitMQ, MongoDB).
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Auto-scaling DynamoDB Streams applications on Kubernetes
# update version 2.8.2 if required kubectl apply -f https://github.com/kedacore/keda/releases/download/v2.8.2/keda-2.8.2.yaml
- KEDA
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What is the difference in production for scale to zero usecases - Keda vs Lambda ?
This is traditionally a AWS Lambda usecase - or an OpenFaas kind of usecase. But very recently i discovered https://keda.sh/ and it seems it is specifically meant for this in a kubernetes environment.
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Ingesting Data into OpenSearch using Apache Kafka and Go
If you deploy the application to Amazon EKS, you can also consider using KEDA to auto-scale your consumer application based on the number of messages in the MSK topic.
What are some alternatives?
fission - Fast and Simple Serverless Functions for Kubernetes
k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus
fnrun - Tools for building business functions and runners
argo - Workflow Engine for Kubernetes
OpenFaaS - OpenFaaS - Serverless Functions Made Simple
istio - Connect, secure, control, and observe services.
dapr - Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
karpenter-provider-aws - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
fn - The container native, cloud agnostic serverless platform.
helm - The Kubernetes Package Manager
demo-nextjs-full-stack - A demo full-stack Next.js app and background functions using the Inngest DevServer
http-add-on - Add-on for KEDA to scale HTTP workloads