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cirego

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cirego
·4개월 전·discuss
I've noticed that there's another problem with microservices as well. People tend to tie microservices and multi-repo into the same strategy.

Multi-repo appears to make teams faster (builds are faster! fewer merge conflicts!) but, like micro-services, they push complexity into the ether. Things like updating service contracts, library updates, etc. all become more complicated.
cirego
·4개월 전·discuss
First thing I noticed too.
cirego
·작년·discuss
It sounds like this framework is susceptible to head of line blocking. In my experience, that significantly reduces the utility of any applications written choosing this framework. What’s the benefit being delivered?
cirego
·작년·discuss
I noticed the same thing. I would have expected an Arc<Mutex<…>> or something similar for safe concurrency. Not sure what value is delivered by a single threaded, blocking web server.
cirego
·작년·discuss
You bring up an interesting question -- I think Tilt works best for those that find themselves in an environment where product is delivered using a service-oriented architecture deployed to Kubernetes. It's also easy to get started within a small team in a big company.

To your other point, Tilt is to development as ArgoCD is to deployment. Tilt enables on-demand, reproducible development environments that are sufficiently high-fidelity that you can often replace your shared and/or long-lived testing clusters.

With Tilt, I test my application using the same Kubernetes specs / Kustomizations / Helm Charts that you use to deploy into production. When it comes time to deploy my application, I supply these same specs / kustomizations / charts to ArgoCD.

Because I can reuse the specs for both testing and production, I enjoy far greater testability of my application, improving quality and time to market.
cirego
·작년·discuss
I think Tilt Extensions highlights the combined power and composability that using Starlarks brings to Tilt: https://docs.tilt.dev/extensions.html.

Want to create a Kubernetes secret? It's as simple as:

    load('ext://secret', 'secret_yaml_generic')
    k8s_yaml(secret_yaml_generic(...))
Want to create that secret from Vault instead?

    load('ext://vault_client', 'vault_read_secret', 'vault_set_env_vars')
    vault_set_env_vars('https://localhost:8200','mytoken')
    my_foo = vault_read_secret('path/myfoo', 'value')
    my_bar = vault_read_secret('path/mybar', 'foobar')
cirego
·작년·discuss
Thank you for sharing this! I think your Tiltfile just showed me how to solve something that's been bugging me for a while!

I see that you also have docker-compose files -- are those for different tasks or for developer preference?

I'm also curious to understand why you have different build scripts for CI (`buildx`) vs local (regular docker build)? In our team, we use the same build processes for both.
cirego
·작년·discuss
I've always appreciated that Tilt chose Starlark instead of YAML. Makes things so much cleaner!
cirego
·작년·discuss
I think that's a fair point -- you're making a tradeoff. And the best part is that you don't need to choose one or the other.

In my case, I find that I prefer having higher fidelity and simpler service code by using Tilt to avoid mocks. It's also nice for frontend development because, using a Kubernetes ingress, you can avoid the need for things like frontend proxies, CORS and other development-only setup.
cirego
·작년·discuss
My understanding is that dev containers are more about configuring your development environment with the right toolchains to build and run services.

Tilt is a monitor process that builds and starts your services, with a hot-reload loop that rebuilds and restarts your services when the underlying code changes. The hot reload loop even works for statically compiled languages.
cirego
·작년·discuss
Yes, Tilt really shines when you’re testing interactions with Kubernetes, such a APIs. But also things like your services’ ingress configuration and metrics scraping.

By default, Tilt is actually intended for local development using kind, minikube or other similar tooling. It supports developing against a multi-node cluster but it requires extra configuration and slows down iteration time.
cirego
·작년·discuss
Tilt can also help validate things like:

- Service discovery

- Volume mounts

- Ingress and Certificates

- Metrics scraping and configuration

- Dashboards

It’s really quite powerful and replaces the need to mock things out with docker compose. If you’re deploying to Kubernetes, Tilt gives you the option to avoid “development-only” setups like docker compose.
cirego
·작년·discuss
Interesting to see this pop up here! I’ve been using Tilt for multiple years now but the pace of development seems to have slowed down after the Docker acquisition.

I love how Tilt enables creating a local development environment that lets my services run the same in production , test and development. Greatly simplifies my service code and improved my quality.

In particular, I’d love to see Tilt be better around handling things like CRDs (there’s no way to mark a k8s_yaml as depending on a CRD being available, a frequent source of broken tilt up invocations).

Having said that, the first thing I do, when working on any new project, is to get “tilt up” working.

Things I’ve used for testing include: eBPF-based collectors for security and observability, data pipelines, helm chart development, and Kubernetes controllers. It’s very flexible and powerful for a wide range of development.
cirego
·작년·discuss
Sorry, I should have added my second thought. Your original comment about isolating MCP servers is also good!

These are tools where the AI may tell you it’s doing one thing and then accidentally do another (I had an LLM tell me it would make a directory using mkdir but then called the shell command kdir (thankfully didn’t exist)). Sandboxing MCP servers is also important!
cirego
·작년·discuss
I believe echoangle’s concern is about the security and privacy of the LLM using the data, not the MCP server itself.
cirego
·작년·discuss
I think you might be off by a factor of 10. Alphanumeric would be at least 36 characters, which would imply 2.8 trillion combininations (36 ^ 8).