connectors | library allows Scala and Java-based projects

i am working in jave, spring, mysql, hibernate environment

I have the following hql it gives me the correct out put

I'm following similar example as in this blog post:

https://rmoff.net/2019/11/12/running-dockerised-kafka-connect-worker-on-gcp/

Except that I'm not running kafka connect worker on GCP but locally.

Everything is fine I run the docker-compose up and kafka connect starts but when I try to create instance of source connector via CURL I get the following ambiguous message (Note: there is literally no log being outputed in the kafka connect logs):

I'm using Tomcat 10 and eclipse to develop a J2E (or Jakarta EE) web application. I followed this tutorial (http://objis.com/tutoriel-securite-declarative-jee-avec-jaas/#partie2) which seems old (it's a french document, because i'm french, sorry if my english isn't perfect), but I also read the Tomcat 10 documentation.
The dataSource works, I followed instructions on this page (https://tomcat.apache.org/tomcat-10.0-doc/jndi-datasource-examples-howto.html#Oracle_8i,_9i_&_10g) and tested it, but it seems that the realm doesn't work, because I can't login successfully. I always have an authentification error, even if I use the right login and password.
I tried a lot of "solutions" to correct this, but no one works. And I still don't know if I have to put the realm tag inside context.xml, server.xml or both. I tried context.xml and both, but i don't see any difference.

My web.xml :

I'm evaluating the use of apache-kafka to ingest existing text files and after reading articles, connectors documentation, etc, I still don't know if there is an easy way to ingest the data or if it would require transformation or custom programming.

The background:

We have a legacy java application (website/ecommerce). In the past, there was a splunk server to do several analytics.

The splunk server is gone, but we still generate the log files used to ingest the data into splunk.

The data was ingested to Splunk using splunk-forwarders; the forwarders read log files with the following format:

Context: I followed this link on setting up AWS MSK and testing a producer and consumer and it is setup and working correctly. I am able to send and receive messages via 2 separate EC2 instances that both use the same Kafka cluster (My MSK cluster). Now, I would like to establish a data pipeline all the way from Eventhubs to AWS Firehose which follows the form:

Azure Eventhub -> Eventhub-to-Kafka Camel Connector -> AWS MSK -> Kafka-to-Kinesis-Firehose Camel Connector -> AWS Kinesis Firehose

I was able to successfully do this without the use of MSK (via regular old Kafka) but for unstated reasons need to use MSK now and I can't get it working.

Problem: When trying to start the connectors between AWS MSK and the two Camel connectors I am using, I get the following error:

These are the two connectors in question:

1. AWS Kinesis Firehose to Kafka Connector (Kafka -> Consumer)
2. Azure Eventhubs to Kafka Connector (Producer -> Kafka)

Goal: Get these connectors to work with the MSK, like they did without it, when they were working directly with Kafka.

Here is the issue for Firehose:

AWS Transfer Family supports integration with AD Connector (https://docs.aws.amazon.com/directoryservice/latest/admin-guide/ad_connector_app_compatibility.html). As far as I understand, connectors are deployed in vpn-linked subnets that allows them to proxy calls to an on-premise Active Directory.

What exactly happens (what resources are created/updated under the hood) when I select AD connector as the authenticator for AWS Transfer? I'm specifically curious as to what changes are made in VPC to allow this integration.

I am reading at https://ci.apache.org/projects/flink/flink-docs-release-1.13/docs/connectors/table/upsert-kafka/.

It says that:

As a sink, the upsert-kafka connector can consume a changelog stream. It will write INSERT/UPDATE_AFTER data as normal Kafka messages value, and write DELETE data as Kafka messages with null values (indicate tombstone for the key).

It doesn't mention that if UPDATE_BEFORE message is written to upsert kafka,then what would happen?

In the same link (https://ci.apache.org/projects/flink/flink-docs-release-1.13/docs/connectors/table/upsert-kafka/#full-example), the doc provides a full example:

We have refactored our project to be a mono repository (NPM Workspaces) and structure it like so:

I'm currently working on a microservices application for my internship using Consul for service discovery and feign clients for communicating between the services. When we started working on the existing project which already was built using microservices, we upgraded Spring boot to 2.4.3 & cloud to 2020.0.1, so that we could make use of Java 15 to use records instead of normal classes for dtos. The problem we have now is that, whenever we make a call to a composite service, that will try to retrieve data from multiple services (for example users and teams service), that we get the following stacktrace: