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spicedb reviews and mentions
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How to start a Go project in 2023
Things I can't live without in a new Go project in no particular order:
- https://github.com/golangci/golangci-lint - meta-linter
- https://goreleaser.com - automate release workflows
- https://magefile.org - build tool that can version your tools
- https://github.com/ory/dockertest/v3 - run containers for e2e testing
- https://github.com/ecordell/optgen - generate functional options
- https://golang.org/x/tools/cmd/stringer - generate String()
- https://mvdan.cc/gofumpt - stricter gofmt
- https://github.com/stretchr/testify - test assertion library
- https://github.com/rs/zerolog - logging
- https://github.com/spf13/cobra - CLI framework
FWIW, I just lifted all the tools we use for https://github.com/authzed/spicedb
We've also written some custom linters that might be useful for other folks: https://github.com/authzed/spicedb/tree/main/tools/analyzers
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Feature flags and authorization abstract the same concept
At AuthZed, we think about this topic regularly while developing SpiceDB[0], except we believe feature flags are a subset of authorization. I'd disagree with the author that permissions are always long-lived -- authorization can also be ephemeral (and often that's how it's most secure) or dependent on run-time context[1]. What's more, using SpiceDB, we can often collapse checking for authorization and feature-flags into a single round-trip by defining a permission that can additionally require a feature flag (e.g. permission = admin & has_feature_flag).
It's a little silly, but lots of folks ask for the moon when it comes to performance for authorization because it's critical to every request, but then go on and sprinkle a dozen feature flag RPCs each adding more and more latency. We think you should be able to have both.
What we're excited about is use cases beyond feature flags and authorization: we've also seen some folks use SpiceDB as an update graph or others as a dependency graph.
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Postgres: The Graph Database You Didn't Know You Had
It scaled well compared to a naive graph abstraction implemented outside the database, but when performance wasn't great, it REALLY wasn't great. We ended up throwing it out in later versions to try and get more consistent performance.
I've since worked on SpiceDB[1] which takes the traditional design approach for graph databases and simply treating Postgres as triple-store and that scales far better. IME, if you need a graph, you probably want to use a database optimized for graph access patterns. Most general-purpose graph databases are just bags of optimizations for common traversals.
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Writing a Kubernetes Operator
I get the sentiment. We held off on building an operator until we felt there was actually value in doing so (for the most part, Deployments cover the operational needs pretty well).
Migrations can be run in containers (and they are, even with the operator), but it's actually a lot of work to run them at the right time, only once, with the right flags, in the right order, waiting for SpiceDB to reach a specific spot in a phased migrations, etc.
Moving from v1.13.0 to v1.14.0 of SpiceDB requires a multi-phase migration to avoid downtime[0], as could any phased migration for any stateful workload. The operator will walk you through them correctly, without intervention. Users who aren't running on Kubernetes or aren't using the operator often have problems running these steps correctly.
The value is in this automation, but also in the API interface itself. RDS is just some automation and an API on top of EC2, and I think RDS has value over running postgres on EC2 myself directly.
As for helm charts, this is just my opinion, but I don't think they're a good way to distribute software to end users. The interface for a helm chart becomes polluted over time in the same way that most operator APIs become polluted over time, as more and more configuration is pulled up to the top. I think helm is better suited to managing configuration you write yourself to deploy on your own clusters (I realize I'm in the minority here).
[0]: https://github.com/authzed/spicedb/releases/tag/v1.14.0
- AWS Creates New Policy-Based Access Control Language Cedar
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The Annotated Google Zanzibar Paper
If you're curious to see a Postgres-based implementation, SpiceDB has a Postgres driver: https://github.com/authzed/spicedb/tree/main/internal/datast...
- We built an open source authorization service based on Google Zanzibar
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One Million Database Connections
Interesting, for SpiceDB[0], one place we've struggled with MySQL is preemptively establishing connections in the pool so that it's always full. PGX[1] has been fantastic for Postgres and CockroachDB, but I haven't found something with enough control for MySQL.
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Show HN: Topaz: open-source authorization combining the best of OPA and Zanzibar
> it'd be awesome to collaborate [...] this is what open source is all about
100%! Though as a FOSS fan myself, I'm hoping for a new comer GPL/copyleft solution to come about and rule us all :)
Side-note: Absolutely loved this article from OSO with Abhishek Parmar, one of the co-creators of Zanzibar [3]
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A note from our sponsor - InfluxDB
www.influxdata.com | 24 Sep 2023
Stats
authzed/spicedb is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of spicedb is Go.