Why would people welcome some robot into their home as well let alone off some strange user online.

What do you all think? Would you rely on a bot android from someone you don’t know?

I’ve heard tech giants like Zuck, Bezos, and Standard Unions are building a marketplace for this, although I don’t know if I would trust these businesses in my personal space.

Bottom line: If network partitions (resending lost messages) is an issue than “Exactly once” can be missleading, someone shall not forget about the physical level. However if partitions are not a big issue (network is robust enough, fast, etc.) then someone may forget about the physical level (network) and just think that at the Application level (i.e. logically) it is “Exactly once”. Question here: what is the added value here in comparison with “Idempotency” which sometimes can still be an issue at the Application level as well, such as when an impatient user resends the message that cannot be (easily) handled by infrastructure. What are your experiences in this regard?

— Draft protocol

Here is a simple protocol using shared message log. Lets say the message broker is Kafka, which BTW also states it can do “Exactly once”:

Step 1. Kafka server->client: Server sends, client Receives new message
Step 2. Kafka client: Logs message as being processed
Step 3. Kafka client->Application: Client sends, Application receives new message
Step 4. Application: Process message
Step 5. Application: Logs message as processed

— Case of network failure:

Step 2. Check log before forwarding and only forward message to application iff it is not yet processed.

— Case of process failure of Kafka client (after the message is already processed):

Restart Kafka client: Consult log and only forward messages which are not marked as processed

Case of process failure of Application:

Restart Application: Consult log and process messages which are not marked as processed

— Case of process failure of Kafka client (while message is being processed by the application):

No need nothing (single threaded Application) or some intra-app coordination (multi threaded)

— Case of process failure of both Kafka client and Application:

No need nothing.

A thing which seems to be interesting here, in case of business applications (DB): what happens with the transaction? Then idempotency should be solved at that side as well, such as recording a version (such as e.g. optimistic lock) both at the local log and the DB.

Then the only problem remains when Application crashes during transaction, after transaction started but but before commited. To my understanding client-crash-survival DB sessions might be theoretically possible, but I am not aware of any RDBMS implementing it. Someone else? :-)

As always I can be wrong – these are just rough thoughts. Any feedback is more then welcome. :-)

Isn’t Platform Engineering related to how team are organized contrary to DevOps? We normally talk of “streamlined teams” contrary to any other topology.

And even if, isn’t having “rigid, one-size-fits-all” a synonym of “DevOps Monolith” that should be avoided at all cost, to quote Ken Mugrage.

To end, DevOps isn’t about tooling; in the way of “tools as [a unique] solution”; it has a human side too.

Those impossibility resutls only say that algorithms guaranteeing liveness (i.e., terminate within bounded number of steps) do not exist; there can still be algorithms that guarantee safety (i.e., produce correct consensus outcomes once terminated). Paxos and 2PC are such algorithms and they work just fine in practice.

Just found out Cloud Run for Anthos has been renamed to Knative Serving(https://cloud.google.com/anthos/run/docs/architecture-overview)

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