Running Postgres as a Unikernel

• ops-examples

  4 98 6.9 Python

  A repository of basic and advanced examples using Ops

  

FYI, erlang && elixir workloads can run on Nanos: https://github.com/nanovms/ops-examples/tree/master/elixir .

I do understand what you are asking for though. There used to be an older project called erlang-on-xen: https://github.com/cloudozer/ling .

It'd be great to see this idea revisited although you'll need to create some sort of new handling/framework.

• ling

  4 796 0.0 C

  Erlang on Xen

  

FYI, erlang && elixir workloads can run on Nanos: https://github.com/nanovms/ops-examples/tree/master/elixir .

I do understand what you are asking for though. There used to be an older project called erlang-on-xen: https://github.com/cloudozer/ling .

It'd be great to see this idea revisited although you'll need to create some sort of new handling/framework.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• OPS

  11 1,213 8.5 Go

  ops - build and run nanos unikernels

  

Definitely agree with the top part, however, I should note that, ops, the tool's, whole existence is to create disk images and upload them to any cloud, any hypervisor.

In particular, both https://ops.city && https://nanos.org are Go unikernels running on GCP and their deploys take just a few seconds to push out. AWS can be even faster cause we skip the s3 upload part. We also have lots of people using Azure which would be utilizing vhdx.

• nanos

  28 2,489 9.2 C

  A kernel designed to run one and only one application in a virtualized environment

  

Definitely agree with the top part, however, I should note that, ops, the tool's, whole existence is to create disk images and upload them to any cloud, any hypervisor.

In particular, both https://ops.city && https://nanos.org are Go unikernels running on GCP and their deploys take just a few seconds to push out. AWS can be even faster cause we skip the s3 upload part. We also have lots of people using Azure which would be utilizing vhdx.

Suggest a related project