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hashicorp
nomad
Go2016–2026
hashicorp / nomad

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.

22Distinct people
33Mentions
0Explicit recommenders
17.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

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.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year33 dated mentions

Observed mentions: 2016-09-29 16:23:32 UTC to 2026-03-17 22:02:38 UTC.

024682016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 6 mentions; 1 submissions, 5 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 6 mentions; 0 submissions, 6 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 8 mentions; 0 submissions, 8 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC202
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC211
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC615
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC202
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC202
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC606
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC808
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC303
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

33 sources
20k+ nodes and 200k+ allocs. To be fair, Kubernetes cannot support this large of a cluster. Most of my issues with it aren't related to the scale though. I wasn't involved in the operations of the cluster (though I did hear many "fun" stories from that team), I was just a user of Nomad trying to run a few thousand stateful allocs. Without custom resources and custom controllers, managing stateful services was a pain in the ass. Critical bugs would also often take years to get fixed. I had lots of fun getting paged in the middle of the night because 2 allocs would suddenly decide they now have the same index (https://github.com/hashicorp/nomad/issues/10727)
In IBM Completes Acquisition of HashiCorp
> I should have just used on-disk mode from the start, but only now know better. Yeah, I saw the recent post about reducing rqlite disk space usage. Using the on-disk sqlite as both the FSM and the Raft snapshot makes a lot of sense here. I'm curious whether you've had concerns about write amplification though? Because we have only the periodic Raft snapshots and the FSM is in-memory, during high write volumes we're only really hammering disk with the Raft logs. > Do you find it in the field much with Nomad? I've managed to introduce new Raft Entry types very infrequently during rqlite's 10-years of development, only once did someone hit it in the field with rqlite. My understanding is that rqlite Raft entries are mostly SQL statements (is that right?). Where Nomad is somewhat different (and probably closer to the OP) is that the Raft ent
Read the rest
ries are application-level entries. For entries that are commands like "stop this job"[0] upgrades are simple. The tricky entries are where the entry is "upsert this large deeply-nested object that I've serialized", like the Job or Node (where the workloads run). The typical bug here is you've added a field way down in the guts of one of these objects that's a pointer to a new struct. When old versions deserialize the message they ignore the new field and that's easy to reason about. But if the leader is still on an old version and the new code deserializes the old object (or your new code is just reading in the Raft snapshot on startup), you need to make sure you're not missing any nil pointer checks. Without sum types enforced at compile time (i.e. Option/Maybe), we have to catch all these via code review and a lot of tedious upgrade testing. > it requires discipline on the part of the end-users too. Oh for sure. Nomad runs into some commercial realities here around how much discipline we can demand from end-users. =) [0] https://github.com/hashicorp/nomad/blob/v1.8.2/nomad/fsm.go#... [1] https://github.com/hashicorp/nomad/blob/v1.8.2/nomad/fsm.go#...
In Building a highly-available web service without a database
I don't have any further insight, but looking at <https://github.com/hashicorp/nomad/forks?include=active&page...> coughed up https://github.com/atlassian/nomad/branches although confusingly it says "updated last week" but browsing any one of the branches seems to be stupid old so I got nothing Finding conceptual forks, e.g. $(git push --mirror ...) would be trickier but I bet sourcegraph could do it Ultimately, the question boils down to: what risk are you driving down: hitching your wagon to a dead stack, not getting security updates, not getting PRs merged, $other?
In IBM nearing a buyout deal for HashiCorp, source says
I can't discern how many are just those "dependabot" bumps but the 1400 forks show some are active https://github.com/hashicorp/nomad/forks?include=active&page... including CircleCI who I would think have a stake in a libre Nomad https://github.com/circleci/nomad/tree/circleci/release-1.5.... Now maybe their goals don't align with the community, and/or they don't want to be in the maintainer business for such a project, but better than nothing
In HashiCorp Vault forked into OpenBAO
We're using Nomad, and appreciate its comparative simplicity (we launch plain binaries created with Nix), but there are still basic features missing that can create struggles. The ones I hit are: * It can't work down batch jobs in priority order [1] -- a feature even the ultra-old university cluster schedulers had * Sometimes job starts can be in arbitrary order, in the API and the UI, making it difficult to find the most recent ones [2] * Nomad seems to store pretty much everything in its Raft state, making it extremely slow to startup and operate (including GUI) if some rogue process created 100k allocations. Cleaning that up seems to require nuking the Raft state, thus also losing all info about all jobs. I don't know how well Kubernetes does in these areas. [1]: https://github.com/hashicorp/nomad/issues/12792 [2]: https://github.com/h
Read the rest
In Google Kubernetes Engine incident spanning 9 days
Yes k8s does not provide a out-of-box logging collection solution but since everything is in containers, we can piggyback on Docker or Containerd via deamonset to get all the logs. Nomad on the other hand support various payload(native exec, exec via chroot, containers, even Firecracker VM by community support), so doing logging collection by end users is trickier. It worth noting that Nomad UI(a official web admin panel) has log tailing utility built-in so maybe partial work has already been done. The developers may have other concerns. The related issue is https://github.com/hashicorp/nomad/issues/10220
In Homebrew to deprecate and add caveat for HashiCorp

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