telepresence
keda
telepresence | keda | |
---|---|---|
38 | 91 | |
6,347 | 7,758 | |
1.5% | 2.8% | |
9.8 | 9.5 | |
7 days ago | 4 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.
telepresence
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12 Factor: 13 years later
Solutions are many, and could include Docker Compose, VS Code dev containers, Telepresence, Localstack or setting up temporary AWS accounts as a development environment for serverless applications.
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New job has no way of coding locally?
I trialled Telepresence[0] for my company 2 or 3 years ago, that does this sort of thing very slickly. It didn't quite work for us back then, I forget why, but I imagine it's come along a way since then.
[0] https://www.telepresence.io
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Introducing a tool for running diagnostic and administrative tools locally on your machine, but with outgoing network connectivity as if they're running in your k8s cluster.
How does this compare to Telepresence?
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Let's debug a kubernetes pod locally
seems to be very similar to https://www.telepresence.io
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Is it ok not to be able to run application locally?
If they're web services you work on, you might try https://www.telepresence.io/ (Requires something to be installed in the cluster though, easily done).
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Best Neovim PHP IDE option?
Depending on the context, the type of code you do, you may want to also look into the sister protocol to LSP, DAP—debug adaptor protocol. It really depends on your context whether local dev, dev against a remote server, and if the latter whether you run under GCP and thus have the “Snapshot Debugger”, or under Kubernetes with something like Ambassadar/Emissary and thus can run Telepresence, whether you do local or remote Docker and thus most IDEs don't necessarily magically work especially if the containers are competently locked down, etc.
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LXD containers on macOS at near-native speeds
If you're on Kubernetes remotely, Telepresence [0] might be worth a look.
[0] https://www.telepresence.io
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I wrote an OSS tool to tunnel your IDE to Kubernetes
Sounds Like Telepresence (https://github.com/telepresenceio/telepresence) which intercepts traffic to a service on the cluster and directs it to your local environment.
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mirrord 3.0 is out - run/debug your code in the context of your k8s cluster
This seems to be very similar to Telepresence, which I just couldn't get to work for us.
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Connecting a local container with a Kubernetes cluster
What the difference with okteto and telepresence ?
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?
devspace - DevSpace - The Fastest Developer Tool for Kubernetes ⚡ Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes.
k8s-prometheus-adapter - An implementation of the custom.metrics.k8s.io API using Prometheus
tilt - Define your dev environment as code. For microservice apps on Kubernetes.
argo - Workflow Engine for Kubernetes
Gravitational Teleport - The easiest, and most secure way to access and protect all of your infrastructure.
istio - Connect, secure, control, and observe services.
skaffold - Easy and Repeatable Kubernetes Development
karpenter-provider-aws - Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
teleport - A WebXR teleport for three.js
helm - The Kubernetes Package Manager
garden - Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workflows at every step of the process. Speed up your builds and test runs via shared result caching
http-add-on - Add-on for KEDA to scale HTTP workloads