criu VS sdk-java

Checkpoint/Restore I feel is a bigger concept than just saving state. At the zeroth level it's a system that can correctly stop and serialize a running process (as criu https://github.com/checkpoint-restore/criu has shown is a huge pain in the ass to still not be perfect) in a way that can initiated from within the process itself.

The 1st level more-work-but-easier way to do this is to build or use a heavily constrained VM/language you run from within your main application that doesn't allow for most of the hard problems to even exist.

I can't find any ready-made tools to do this that I wouldn't consider an endeavor.

That being said the Checkpoint Restore In Userspace project has been around for a number of years and is the closest thing to what you are talking about: taking a linux process on one machine and moving it to another. It is messy but can be done in some cases. There are folks looking at how to integrate CRIU with k8s but it’s all research at this point.

I would love to make more use of CRIU. E.g. I considered to use CRIU for my Python preloaded logic (https://github.com/albertz/python-preloaded). Unfortunately, at that point in time, CRIU must be used with root access, which was not an option. However, I see that the PR was merged now, so maybe it works now? (https://github.com/checkpoint-restore/criu/pull/1930)

There is also DMTCP (https://github.com/dmtcp/dmtcp/) but this might have other problems for my use case.

My solution was to use a fork server instead, which works almost equally well. There are not really much downsides with this approach. And this is actually quite simple, and also quite cross-platform (except Windows).

CRIU currently needs root access for dump/restore. However, there is ongoing work to support a non-root option in https://github.com/checkpoint-restore/criu/pull/1930.

There have been multiple checkpointing attempts over the years. Criu is the only one I know of that's still kicking. That's probably your best and only bet.

How does this compare against Temporal/Cadence/Conductor? Does hatchet also support durable execution?

https://temporal.io/

Flawless sounds a lot like https://temporal.io/ .

I'm wondering if it has the same scalability concerns - sticking everything in Postgres is fine at small-ish scale, but what happens when you outgrow Postgres, either because you have higher availability requirements (can't handle primary DB restarts) or because of the sheer volume of the workload?

Temporal is a scalable and reliable runtime for durable Workflow Executions. It enables you to develop as if failures don't even exist. I started exploring it over the Christmas holiday and using it for a recently open-sourced project.

I have my eyes on https://temporal.io/ for similar purposes.

Check out temporal.io open source project for a much cleaner solution using Durable Execution abstraction.

Interesting to see Netflix featured both on StackStorm & https://temporal.io/ frontpages.

Our stack at Escape is written in multiple languages because each team has specific needs. We use TypeScript for its vibrant ecosystem, Python for cybersecurity research and Go for performance-sensitive tasks. To orchestrate cross-language task orchestration, we first developed a simple request-response protocol over HTTP, but it wasn't sustainable as the Escape codebase grew rapidly. We evaluated several technologies to replace our homegrown protocol, and two emerged as the most promising options: Connect and Temporal. The title gives it away, but the reason is far from obvious

I've put a lot of time into Airflow and feel similarly that it's a huge pain and a risk to rely on it. I've replaced it with Temporal (https://temporal.io/) and while I don't have the breadth of experience with the frameworks you listed, I do think Temporal is a great replacement for Airflow.

Just to confirm my understanding; would you consider at least part of your product offering to be similar to temporal.io [1]? Your examples are reminiscent of theirs.

[1] https://temporal.io/