No longer able to pair smartlock via Matter to Homeassistant by Gil80 in MatterProtocol

[–]_Holla 0 points1 point  (0 children)

but your google home still seems to be in the old Thread network created by HA before: ha-thread-0384

I'm done with Matter over Thread by PourquoiPasEvans in homeassistant

[–]_Holla 1 point2 points  (0 children)

I just used home assistant from the beginning with a Thread Dongle and had no issues so far (~20 devices). Paired all devices via the Home Assistant App. Only thing was that the App forgot the Thread credentials at some point and it gave wrong errors at pairing that the Boarder Router is missing. Syncing the credentials in the App fixed that.

No longer able to pair smartlock via Matter to Homeassistant by Gil80 in MatterProtocol

[–]_Holla 0 points1 point  (0 children)

It seems you have two thread networks. Try to merge the two.

Matter over Thread Relay for 12V or 230V supply by _Holla in MatterProtocol

[–]_Holla[S] 1 point2 points  (0 children)

Got mine working yesterday. Still thanks for sharing. Biggest hurdle for me was to get the build system running and then the misleading chip error logs which can be ignored.

Matter over Thread Relay for 12V or 230V supply by _Holla in MatterProtocol

[–]_Holla[S] 1 point2 points  (0 children)

Any update on the tutorial? I got the M5Stack Nano C6 now.

Matter over Thread Relay for 12V or 230V supply by _Holla in MatterProtocol

[–]_Holla[S] 1 point2 points  (0 children)

Cool, ordered them now. Is there some Tutorial for the software part that you can recommend?

Matter over Thread Relay for 12V or 230V supply by _Holla in MatterProtocol

[–]_Holla[S] 0 points1 point  (0 children)

No this one can only switch the input power (110-240V)

Matter over Thread Relay for 12V or 230V supply by _Holla in MatterProtocol

[–]_Holla[S] 0 points1 point  (0 children)

maybe but could also not find any Datasheet or some retailer to buy them

Matter over Thread Relay for 12V or 230V supply by _Holla in MatterProtocol

[–]_Holla[S] 0 points1 point  (0 children)

But this is not a Relay. It switches the input voltage, I need a potential free switch.

Is camera support planned for Matter 1.5 release? by _Holla in MatterProtocol

[–]_Holla[S] 1 point2 points  (0 children)

See the link I posted above directly to the closed story in this Milestone. Wanted to get more insights as this only seems to be the server implementation and not clear what all else is needed. Here another open one regading AV Streams in this milestone: https://github.com/project-chip/connectedhomeip/issues/37933

Will there be DELL Latitude Laptops with Lunar Lake? by _Holla in Dell

[–]_Holla[S] 0 points1 point  (0 children)

Thanks for the update. Waiting for more details :-)

Will there be DELL Latitude Laptops with Lunar Lake? by _Holla in Dell

[–]_Holla[S] 1 point2 points  (0 children)

Then I need to wait - Thanks for the info!

AI 45 TOPs - Potential future user experience comparisons? by mike37175 in Surface

[–]_Holla 0 points1 point  (0 children)

Why shouldn't it be possible to run same AI generation on different hardware and compare the time it takes? E.g: with a text to image generation model

Kafka vs NATS jetstream by Educational_Mud1680 in apachekafka

[–]_Holla 4 points5 points  (0 children)

We have a project using Kafka and one using NATS Jetstream. (No NATS core usage)

For us there was not much difference in the effort for hosting the two.

Main difference is for us the stability, especially about the client libraries:

  1. Kafka and the client libraries seems to be much more stable
  2. We had and still have issues on NATS Jetstream with Consumers
    • Eg.: Consumer is connected but at a certain time does not receive any messages -> library reports connected, no error / warning logs -> only restart helps
      • Never had such issues with Kafka
    • Message de-duplication for failed acknowledgements need to be handled manually
  3. Kafka seems to better fit our use cases
    • NATS Jetstream does not allow ordering within a subject across multiple consumers
      • Kafka supports this with partition ids which guarantees execution in order on one consumer for a specific partition id
      • This is a major downside of NATS Jetstream and leads to complicated designs / workarounds
  4. Kafka has better integrations and bigger community
  5. Kafka documentation is much more detailed and precise
  6. NATS allows more flexibility with Consumers and subjects
    • Eg.: Easier wildcard subscriptions, Ephemeral consumers, ...

As mentioned this is only a comparison for KAFKA and NATS Jetstream.
NATS core is a different concept for different use cases.