Alternatives

Products that do what I audited 500 K8s pods. Java wastes ~48% RAM, Go ~18% does

1. 1SI
   Simplenetes – I replaced Kubernetes with 17k lines of shell script▲296

   2021 · github.com

2. 2HA
   Hasura – A Postgres BaaS and Kubernetes PaaS on Your Own Infrastructure▲259

   2017 · hasura.io

3. 3KA
   Kubernetes as a back-end for OpenFaaS▲194

   2017 · github.com

4. 4MM
   Mmm – manual memory management for Go▲72

   2015 · github.com

5. 5AE
   An Example Microservice Back End for Kubernetes, Bazel, Go, Java, GRPC▲119

   2018 · github.com

6. 6IW
   I wrote a tool in Rust for tracking all allocations in a Linux process▲113

   2023 · github.com

7. 7KD
   K6 – developer-centric load testing using Go and JavaScript▲101

   2017 · k6.io

8. 8KA
   kenv – an environment file injector for Kubernetes resources▲49

   2016 · github.com

9. 9RG
   Run globally distributed full-stack apps on high-performance MicroVMs▲98

   Hi HN! We’re Yann, Edouard, and Bastien from Koyeb (https://www.koyeb.com/). We’re building a platform to let you deploy full-stack apps on high-performance hardware around the world, with zero configuration. We provide a “global serverless feeling”, without the hassle of re-writing all your apps or managing k8s complexity [1]. We built Scaleway, a cloud service provider where we designed ARM servers and provided them as cloud servers. During our time there, we saw customers struggle with the same issues while trying to deploy full-stack applications and APIs resiliently. As…

   2023 · koyeb.com

10. 10BI
    Blunders.io, a tool to profile JVMs in production▲46

    2020 · blunders.io

11. 11VD
    Valence, Declarative Performance for Kubernetes▲17

    2019 · valence.net

12. 12KC
    Kubectl cost – Kubernetes cost metrics via CLI▲22

    2021 · github.com

13. 13MT
    Measure the cost of Kubernetes containers/services in real-time▲36

    2019 · github.com

14. 14SM
    Save money with native Kubernetes cluster turndown▲25

    2020 · github.com

15. 156K
    600 kubectl bash aliases that help me work with Kubernetes faster▲23

    2017 · github.com

16. 16KB
    Kubestone – Benchmarking Operator for Kubernetes▲31

    2019 · kubestone.io

17. 17AJ
    Actionable JVM memory analysis▲11

    2017 · github.com

18. 18MW
    MainMemory – Wannabe Main Memory Database and More▲21

    2017 · github.com

19. 19GL
    Golang – Level 7 Load Balancer and Cache▲18

    2019 · github.com

20. 20KF
    kubectl-flame – Effortless profiling on Kubernetes▲28

    2020 · github.com

21. 21MW
    My Weekend Hack – KubeFuse, a Kubernetes Fuse Filesystem▲37

    2016 · github.com

22. 22GG
    GoGITiT - GitHub Usage Statistics of JS Frameworks▲13

    2015 · gogitit.co

23. 23AN
    A new engine to run Kimi K3 on a laptop▲7

    Kimi K3 has 2.78 trillion parameters and ships as 1.42 TB of weights. It clearly does not fit in the memory of a laptop. But K3 is a Mixture-of-Experts model. For each token, only a small fraction of its 896 experts per layer is activated. That changes the problem: the entire model does not need to be resident in RAM, as long as the weights required by each token can be reached quickly enough. We built WASTE — the Weight-Aware Streaming Tensor Engine — to explore that idea. WASTE keeps the dense, repeatedly used part of the model resident in memory, stores the routed experts in an…

    Jul 2026

24. 24TK
    Tracking Kubernetes cost metrics in Prometheus▲15

    2021 · github.com

Ranked by how close each launch is in meaning, then by votes. Refine with a description →