magicpointer
No user record in our sample, but magicpointer has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
No user record in our sample, but magicpointer has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
Also with the M1 Pro MacBook, my LG USB-C monitor broke during the upgrade. Black screen, same on another connected USB-C laptop. Tried different cables, unplugging power from the monitor and factory reset on the…
One approach that can be used is to use the centralized service to answer a broader question like: given this user, what rules can I use to know if a document is accessible for them. And have the service give you a set…
Great product! I think with the updates and deletes it will be applicable to many more scenarios. HTAP is really getting important now that many more apps have user-facing analytics. In our case, we use plain PostgreSQL…
Unfortunately I'm on MacOS and not Windows. But I'll pass this info to my Windows-using colleagues, thanks!
There's also Rancher Desktop in the same space, which includes k3s as a local K8s solution. For personal use I found it great and lighter than Docker Desktop. At work, unfortunately all options but Docker Desktop have…
Fully managed PostgreSQL service, with point in time recovery like in Heroku + ability to take manual snapshots if needed. Daily snapshots are not flexible enough.
In a similar vein there is Schemaspy[1]. It generates a static documentation website for your DB, which also uses GraphViz to build ER diagrams. [1] https://github.com/schemaspy/schemaspy
Did you use OPA as a sidecar or a separate service? I have a similar setup but with a separate service the "diff pushing" approach adds quite some complexity, due to OPA and the data source having separate lifecycles.
Also go has the advantage of producing a single static binary. Easy to build on your machine and run on another host.
A JVM library in this space I recently started using seriously and fell in love with: jOOQ. It's not an ORM, rather a query builder but an extremely smart one. In the codegen mode, it scans your DB schema and generates…
This situation is still a bit hard to understand for me as a simple Java dev. Until now I thought that there were 3 kinds of "LTS": 1) OpenJDK Updates binary builds: they take the source code of the project, build it,…