kubernetes-client
TornadoVM
| kubernetes-client | TornadoVM | |
|---|---|---|
| 11 | 22 | |
| 3,307 | 1,108 | |
| 0.9% | 1.4% | |
| 9.7 | 9.9 | |
| 6 days ago | 4 days ago | |
| Java | Java | |
| 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.
kubernetes-client
- FLaNK 25 December 2023
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I would like to make calls to the K8s API server from within a Java app that is running in a pod. How would I authenticate it to do so?
While that is true I‘d like to suggest taking a look at this client: https://github.com/fabric8io/kubernetes-client
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Does Fabric8io K8s java client support patch() or rollingupdate() using YAML snippets?
I am trying to program the patching/rolling upgrade of k8s apps by taking deployment snippets as input. I use patch() method to apply the snippet onto an existing deployment as part of rollingupdate using fabric8io's k8s client APIS.. Fabric8.io kubernetes-client version 4.10.1I'm also using some loadYaml helper methods from kubernetes-api 3.0.12.
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Pod labeling not possible from within pod using Kubernetes on Docker-EE
This approach works fine on our DIND-Kubernetes environment. However, when tried to port the deployment onto a Docker-EE Kubernetes environment we ran into trouble because the command kubectl label pod generates a run time error which is completely misleading (also see https://github.com/fabric8io/kubernetes-client/issues/853).
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Using Java annotation processor in Scala
To be specific, I am trying to use https://github.com/fabric8io/kubernetes-client/tree/master/crd-generator in scala code. If it is only duplicating one class or so, that seems manageable. But if I need to rewrite everything I am less confident
- Is 6 LPA worth it to work at a startup from 9 AM to 8 PM?
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Creating scalable microservices for practice?
In terms of spinning up and managing everything, like, the stuff that's not Java apps. But some of the old fabric8 work - the predecessor to jKube - provides Java APIs and utilities to doing things like writing kubernetes operators in Java. Check out the kubernetes-client project. A lot of people never even learn about kubernetes operators, and just think "I have a service, la la la" plug their ears and then assume there will be some magic operational team that will deploy some service mesh app to solve all their problems.
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How can I deploy a containerized application from code?
Fabric8 is a very good Solution. I played also with k8s provided solution but especially custom resource definitions are a hell. I can recommend fabric8 it’s also used in operators like strimzi https://github.com/fabric8io/kubernetes-client
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Canceling a Tekton TaskRun with Fabric8 Kubernetes Java Client
As the name says, this article is all about how to Cancel TaskRuns in Tekton using the Fabric8 Tekton client. You can see the latest example code here
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Difference between service-account token and client certificates for programmatic access
Can the service account token, be used programmtically e.g., using https://github.com/fabric8io/kubernetes-client ?
TornadoVM
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Intel Gaudi 3 AI Accelerator
You don't need to use C++ to interface with CUDA or even write it.
A while ago NVIDIA and the GraalVM team demoed grCUDA which makes it easy to share memory with CUDA kernels and invoke them from any managed language that runs on GraalVM (which includes JIT compiled Python). Because it's integrated with the compiler the invocation overhead is low:
https://developer.nvidia.com/blog/grcuda-a-polyglot-language...
And TornadoVM lets you write kernels in JVM langs that are compiled through to CUDA:
https://www.tornadovm.org
There are similar technologies for other languages/runtimes too. So I don't think that will cause NVIDIA to lose ground.
- Java VectorAPI compatiblity with TornadoVM GPU programming framework
- Java GPU pre/post processing with ONNX RT and TornadoVM
- FLaNK Stack 05 Feb 2024
- FLaNK 25 December 2023
- GPU Acceleration for Python, JavaScript, Ruby from Java with Truffle
- TornadoVM v1.0 Released
- TornadoVM 1.0
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From CPU to GPU and FPGAs: Supercharging Java Applications with TornadoVM [video]
Presented by Juan Fumero, PhD & Research Fellow (The University of Manchester, UK) during the JVM Language Summit 2023 (Santa Clara CA).
More information on TornadoVM can be found at https://www.tornadovm.org/
Tags: #Java #JVMLS #GPU #FPGA #OpenJDK #GraalVM #AI
What are some alternatives?
jkube - Build and Deploy java applications on Kubernetes
Aparapi - The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
dsl - Structurizr DSL
openapi4j - OpenAPI 3 parser, JSON schema and request validator.
MockServer - MockServer enables easy mocking of any system you integrate with via HTTP or HTTPS with clients written in Java, JavaScript and Ruby. MockServer also includes a proxy that introspects all proxied traffic including encrypted SSL traffic and supports Port Forwarding, Web Proxying (i.e. HTTP proxy), HTTPS Tunneling Proxying (using HTTP CONNECT) and SOCKS Proxying (i.e. dynamic port forwarding).
GraalVMREPL - REPL (read–eval–print loop) shell built on top of JavaFX and GraalVM stack, incorporating GraalJS, GraalPython, TruffleRuby and FastR
consul-api - Java client for Consul HTTP API
kattlo-cli - Kattlo CLI Project
container-jfr - Secure JDK Flight Recorder management for containerized JVMs
junodb - JunoDB is PayPal's home-grown secure, consistent and highly available key-value store providing low, single digit millisecond, latency at any scale.
Quarkus - Quarkus: Supersonic Subatomic Java.
jr - JR: streaming quality random data from the command line