keda
dapr
Our great sponsors
keda | dapr | |
---|---|---|
91 | 78 | |
7,729 | 23,255 | |
2.5% | 1.1% | |
9.5 | 9.7 | |
6 days ago | 6 days ago | |
Go | 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.
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.
dapr
- Dapr: Microservices API
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Interesting projects using WebAssembly
The following two examples are open-source projects maintained by Fermyon with contributions from companies like Microsoft and SUSE. The first is Spin, which allows us to use WebAssembly to create Serverless applications. The second, SpinKube, combines some of the topics I'm most excited about these days: WebAssembly and Kubernetes Operators :) The official website says, "By running applications in the Wasm abstraction layer, SpinKube offers developers a more powerful, efficient, and scalable way to optimize application delivery on Kubernetes." By the way, this post shows how to integrate SpinKube with Dapr, another technology I'm very interested in, and I should write some posts soon.
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The Ambassador Pattern
Speaking of this has anyone had much experience with Dapr (https://dapr.io/) before?
I always thought this was a particularly interesting approach from Microsoft where they use this pattern to essentially take the complexity of micro services and instead try and keep it as simple as a normal .NET application but (and I think this is the clever part) in both a vendor and language neutral way.
But all of a sudden it means you can start removing all kinds of cruft and random SDKs from your codebase and push almost all of your interactions with the outside world into something like this .
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Comparing Azure Functions vs Dapr on Azure Container Apps
Azure Container Apps hosting of Azure Functions is a way to host Azure Functions directly in Container Apps - additionally to App Service with and without containers. This offering also adds some Container Apps built-in capabilities like the Dapr microservices framework which would allow for mixing microservices workloads on the same environment with Functions.
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Episode 150: myNewsWrap – SAP and Microsoft
Having containers is nice but everything (well ... nearly everything 😉) gets better with Dapr as an outstanding tool for app development in the container-based area. Here we go what might be worth a look:
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Using DARP in production?
Anyone using or planing to use darp Distributed application platform runtime as a microservices platform? https://dapr.io/
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Ensuring Seamless Operations: Troubleshooting and Resolving Dapr Certificate Expiry
A CNCF project, the Distributed Application Runtime (Dapr) provides APIs that simplify microservice connectivity. Whether your communication pattern is service to service invocation or pub/sub messaging, Dapr helps you write resilient and secured microservices. Essentially, it provides a new way to build microservices by using the reusable blocks implemented as sidecars.
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Understanding the Dapr workflow engine and workflow patterns in .NET (1hr webinar)
Dapr is a runtime that implements common patterns such as pub/sub, state storage, etc. It runs as a sidecar to your app. Your app then interfaces with it using an sdk or http calls to use said patterns instead of implementing those patterns directly yourself. Seems pretty cool to me, but you can find out more at https://dapr.io/.
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Is Dapr actually used by anyone?
- Over 21k stars on GitHub, see the core repo and devstats.
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Modular Architecture Design question | Re-using modules in multiple applications
I would like to build modules, either in a modular monolith style, or in a microservice style using DAPR and/or Tye.
What are some alternatives?
k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus
MassTransit - Distributed Application Framework for .NET
argo - Workflow Engine for Kubernetes
camel-k - Apache Camel K is a lightweight integration platform, born on Kubernetes, with serverless superpowers
istio - Connect, secure, control, and observe services.
tye - Tye is a tool that makes developing, testing, and deploying microservices and distributed applications easier. Project Tye includes a local orchestrator to make developing microservices easier and the ability to deploy microservices to Kubernetes with minimal configuration.
karpenter-provider-aws - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
OpenFaaS - OpenFaaS - Serverless Functions Made Simple
helm - The Kubernetes Package Manager
Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
http-add-on - Add-on for KEDA to scale HTTP workloads
NServiceBus - Build, version, and monitor better microservices with the most powerful service platform for .NET