hookdeck-cli
orchest
hookdeck-cli | orchest | |
---|---|---|
24 | 44 | |
282 | 4,088 | |
1.4% | 1.0% | |
8.6 | 4.5 | |
22 days ago | over 1 year ago | |
Go | TypeScript | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hookdeck-cli
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Free ngrok alternative for async web dev - the Hookdeck CLI
As per the title of this post, the Hookdeck CLI is built to support asynchronous web development. By this, I mean requests, such as webhooks from an API service, are received and proxied onto the application running locally. However, the response from the local service is not passed back to the API service that made the request.
- Show HN: Hookdeck Event Gateway
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Ask HN: Who is hiring? (June 2023)
Hookdeck | https://hookdeck.com| Remote- CAN | Backend DevOPs
We are seeking an experienced Backend/DevOps professional who has a passion for working with and optimizing databases, and who has hands-on experience with high concurrency and high throughput systems. We are a small team of 9, operating completely remotely and without a schedule.
We help developers spend less building and troubleshooting issues with their webhooks to focus on their products instead. We offer a complete infrastructure to develop, test, receive, distribute and monitor webhooks and asynchronous events.
If you are looking to be part of an early founding team, fully leverage your knowledge & talent, have an impact and work on hard scaling and concurrency challenges then this might be for you.
We are offering competitive compensation & generous stock options. Here are the roles that are currently open:
- Backend/ Dev OP (must be in Canada)
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Ask HN: Who is hiring? (March 2023)
Hookdeck | Growth Engineering Team | Remote | https://hookdeck.com/
Hookdeck is building out the Growth Engineering team to help us improve the user experience across the entire funnel. We are a small team of 9, operating completely remotely and without a schedule.
We help developers spend less building and troubleshooting issues with their webhooks to focus on their products instead. We offer a complete infrastructure to develop, test, receive, distribute and monitor webhooks and asynchronous events.
If you are looking to be part of an early founding team, fully leverage your knowledge & talent, have an impact and work on hard scaling and concurrency challenges then this might be for you.
We are offering competitive compensation & generous stock options. Here are the roles that are currently open:
- Growth Engineer
- Hookdeck
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Ask HN: Who is hiring? (December 2022)
Hookdeck (https://hookdeck.com) | Product Eng, Growth Eng, Backend Eng | Full-Time | Remote (World)
Hookdeck is an infrastructure to consume webhooks simply & reliably. Incoming webhooks are challenging because they require a well-built (and often complex) asynchronous system. We help developers spend less building and troubleshooting issues with their webhooks to focus on their products instead. We offer a complete infrastructure to develop, test, receive, distribute and monitor webhooks and asynchronous events.
If you are looking to be part of a early stage team, fully leverage your knowledge & talent, have an impact on the product experience and implement features from scratch then this might be for you!
We are offering competitive compensation, generous stock options and liberty over your geo & schedule.
We are looking forward to hearing from you! Email me at [email protected]
- Hookdeck: Webhook Infrastructure and Tooling
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Best Practices for Using Webhooks
Shameless plug: if you like the development experience of webhooks at Stripe we offer the same experience on our platform at https://hookdeck.com/ which you can drop in to help you add reliability and a better developer experience to receiving webhooks from anywhere.
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Webhooks.fyi
This is a fantastic resource! Thank you to the folks at ngrok for putting this together! As this site makes clear: webhooks are harder than they appear. Even just consuming webhooks it's easy to get bogged down dealing with issues around rate limits or recovering from bugs that cause missed events! Missed events being particularly painful with platforms that don't offer replay / retry.
Disclaimer: I work at https://hookdeck.com/ & I shamelessly plug our tool for giving you an awesome developer experience working with webhooks and helping deal with some of the concerns brought up on webhooks.fyi.
And if you are interested in webhooks at large a couple more resources worth checking out is the awesome-webhooks[1] list and the r/webhooks[2] subreddit (I just got ownership of the sub and started dusting it off this week after being neglected for the past few years! Please, come join!)
[1] https://github.com/realadeel/awesome-webhooks
[2] https://www.reddit.com/r/webhooks/
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How do you read and understand a new codebase?
and then went throught the codebase: https://github.com/hookdeck/hookdeck-cli
orchest
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Decent low code options for orchestration and building data flows?
You can check out our OSS https://github.com/orchest/orchest
- Build ML workflows with Jupyter notebooks
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Building container images in Kubernetes, how would you approach it?
The code example is part of our ELT/data pipeline tool called Orchest: https://github.com/orchest/orchest/
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Launch HN: Patterns (YC S21) – A much faster way to build and deploy data apps
First want to say congrats to the Patterns team for creating a gorgeous looking tool. Very minimal and approachable. Massive kudos!
Disclaimer: we're building something very similar and I'm curious about a couple of things.
One of the questions our users have asked us often is how to minimize the dependence on "product specific" components/nodes/steps. For example, if you write CI for GitHub Actions you may use a bunch of GitHub Action references.
Looking at the `graph.yml` in some of the examples you shared you use a similar approach (e.g. patterns/openai-completion@v4). That means that whenever you depend on such components your automation/data pipeline becomes more tied to the specific tool (GitHub Actions/Patterns), effectively locking in users.
How are you helping users feel comfortable with that problem (I don't want to invest in something that's not portable)? It's something we've struggled with ourselves as we're expanding the "out of the box" capabilities you get.
Furthermore, would have loved to see this as an open source project. But I guess the second best thing to open source is some open source contributions and `dcp` and `common-model` look quite interesting!
For those who are curious, I'm one of the authors of https://github.com/orchest/orchest
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Argo became a graduated CNCF project
Haven't tried it. In its favor, Argo is vendor neutral and is really easy to set up in a local k8s environment like docker for desktop or minikube. If you already use k8s for configuration, service discovery, secret management, etc, it's dead simple to set up and use (avoiding configuration having to learn a whole new workflow configuration language in addition to k8s). The big downside is that it doesn't have a visual DAG editor (although that might be a positive for engineers having to fix workflows written by non-programmers), but the relatively bare-metal nature of Argo means that it's fairly easy to use it as an underlying engine for a more opinionated or lower-code framework (orchest is a notable one out now).
- Ideas for infrastructure and tooling to use for frequent model retraining?
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Looking for a mentor in MLOps. I am a lead developer.
If you’d like to try something for you data workflows that’s vendor agnostic (k8s based) and open source you can check out our project: https://github.com/orchest/orchest
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Is there a good way to trigger data pipelines by event instead of cron?
You can find it here: https://github.com/orchest/orchest Convenience install script: https://github.com/orchest/orchest#installation
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How do you deal with parallelising parts of an ML pipeline especially on Python?
We automatically provide container level parallelism in Orchest: https://github.com/orchest/orchest
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Launch HN: Sematic (YC S22) – Open-source framework to build ML pipelines faster
For people in this thread interested in what this tool is an alternative to: Airflow, Luigi, Kubeflow, Kedro, Flyte, Metaflow, Sagemaker Pipelines, GCP Vertex Workbench, Azure Data Factory, Azure ML, Dagster, DVC, ClearML, Prefect, Pachyderm, and Orchest.
Disclaimer: author of Orchest https://github.com/orchest/orchest
What are some alternatives?
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
docker-airflow - Docker Apache Airflow
svix-webhooks - The enterprise-ready webhooks service 🦀
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
nodejs-webhook-server-example
n8n - Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
ExpansionCards - Reference designs and documentation to create Expansion Cards for the Framework Laptop
cost-model - Cross-cloud cost allocation models for Kubernetes workloads [Moved to: https://github.com/kubecost/opencost]
parabol - Free online agile retrospective meeting tool
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format