payg and new window (#49)

Author: aimurphy

modules/ROOT/pages/index.adoc

@@ -41,7 +41,7 @@ A real-time data pipeline is a series of steps that takes data from its original
 --
 Starlight for JMS allows enterprises to take advantage of the scalability and resiliency of a modern streaming platform to run their existing JMS applications.
 
-xref:streaming-learning:use-cases-architectures:starlight/jms/index.adoc[Get started now] | xref:starlight-for-jms:ROOT:index.adoc[Configuring] | https://github.com/datastax/pulsar-jms[Source Code^]
+xref:streaming-learning:use-cases-architectures:starlight/jms/index.adoc[Get started now] | xref:starlight-for-jms:ROOT:index.adoc[Configuring] | https://github.com/datastax/pulsar-jms[Source Code]
 --
 ****
 
@@ -51,7 +51,7 @@ xref:streaming-learning:use-cases-architectures:starlight/jms/index.adoc[Get sta
 --
 Starlight for Kafka brings native Apache Kafka® protocol support to Apache Pulsar by introducing a Kafka protocol handler on Pulsar brokers.
 
-xref:streaming-learning:use-cases-architectures:starlight/kafka/index.adoc[Get started now] | xref:starlight-for-kafka:ROOT:index.adoc[Configuring] | https://github.com/datastax/starlight-for-kafka[Source Code^]
+xref:streaming-learning:use-cases-architectures:starlight/kafka/index.adoc[Get started now] | xref:starlight-for-kafka:ROOT:index.adoc[Configuring] | https://github.com/datastax/starlight-for-kafka[Source Code]
 --
 ****
 
@@ -61,7 +61,7 @@ xref:streaming-learning:use-cases-architectures:starlight/kafka/index.adoc[Get s
 --
 Starlight for RabbitMQ combines the AMQP 0.9.1 API with Pulsar, providing a powerful way to modernize your RabbitMQ infrastructure, improve performance, and reduce costs.
 
-xref:streaming-learning:use-cases-architectures:starlight/rabbitmq/index.adoc[Get started now] | xref:starlight-for-rabbitmq:ROOT:index.adoc[Configuring] | https://github.com/datastax/starlight-for-rabbitmq[Source Code^]
+xref:streaming-learning:use-cases-architectures:starlight/rabbitmq/index.adoc[Get started now] | xref:starlight-for-rabbitmq:ROOT:index.adoc[Configuring] | https://github.com/datastax/starlight-for-rabbitmq[Source Code]
 --
 ****
 

modules/functions/pages/index.adoc

@@ -7,7 +7,7 @@ Custom functions are a powerful feature, but for common data transformations, we
 DataStax has created the following transform functions for common data transforms, but we're always experimenting with new ones.
 Check back as the list grows, or let us know some functions you'd find helpful in your deployment.
 
-Unqualified orgs can use transform functions without upgrading to a Pay as You Go plan.
+Unqualified orgs can use transform functions without upgrading to a Pay As You Go plan.
 
 [#transform-list]
 == Transforms

modules/pulsar-io/pages/connectors/index.adoc

@@ -126,4 +126,5 @@ curl "$WEB_SERVICE_URL/admin/v3/sources/builtinsources" -H "Authorization: $ASTR
 
 == What's next?
 
-For more on Pulsar IO connectors, see the https://pulsar.apache.org/docs/en/io-overview/[Pulsar documentation^].
+For more on Pulsar IO connectors, see the https://pulsar.apache.org/docs/en/io-overview/[Pulsar documentation
+].

modules/pulsar-io/pages/connectors/sinks/astra-db.adoc

@@ -7,15 +7,15 @@
 
 = Astra DB (Cassandra Enhanced)
 
-DataStax Astra DB Sink Connector is based on the open-source https://docs.datastax.com/en/pulsar-connector/docs/index.html[Cassandra sink connector for Apache Pulsar^]. Depending on how you deploy the connector, it can be used to sink topic messages with a table in Astra DB or a table in a Cassandra cluster outside of DB.
+DataStax Astra DB Sink Connector is based on the open-source https://docs.datastax.com/en/pulsar-connector/docs/index.html[Cassandra sink connector for Apache Pulsar]. Depending on how you deploy the connector, it can be used to sink topic messages with a table in Astra DB or a table in a Cassandra cluster outside of DB.
 
 The Astra Streaming portal provides simple way to connect this sink and a table in Astra DB with simply a token. Using pulsar-admin or the REST API, you can configure the sink to connect with a Cassandra connection manually.
 
 This reference assumes you are manually connecting to a Cassandra table.
 
 [TIP]
 ====
-If you would like to see the code, refer to the https://github.com/datastax/pulsar-sink[open source here^].
+If you would like to see the code, refer to the https://github.com/datastax/pulsar-sink[open source here].
 ====
 
 == Get Started
@@ -66,18 +66,18 @@ include::example$connectors/sinks/{connectorType}/auth.csv[]
 
 These values are provided in the *topic* area in the above cassandra connection parameters.
 
-Refer to the official documentation for a https://docs.datastax.com/en/pulsar-connector/docs/cfgRefPulsarDseConnection.html[connection properties reference^].
+Refer to the official documentation for a https://docs.datastax.com/en/pulsar-connector/docs/cfgRefPulsarDseConnection.html[connection properties reference].
 
 === Mapping topic data to table columns
 
 [TIP]
 ====
-There are quite a few examples in the "https://docs.datastax.com/en/pulsar-connector/docs/cfgPulsarMapTopicTable.html[Mapping pulsar topics to database tables^]" area of the official documentation
+There are quite a few examples in the "https://docs.datastax.com/en/pulsar-connector/docs/cfgPulsarMapTopicTable.html[Mapping pulsar topics to database tables]" area of the official documentation
 ====
 
 An essential part of using this sink connector is mapping message values to table columns.  There are many factors that influence how this done and what is possible. The 'mapping' string is a simple comma-separated list of column names and message value fields.
 
-While the getting started examples above show how to configure the connector in one large command, it is easier to manage this as a separate file. The following example show how to configure the connector using a configuration in json format. The "https://docs.datastax.com/en/pulsar-connector/docs/pulsarQuickStart.html[Pulsar Connector single instance quick start^]" guide provides a good example of this. Below are the minimum requirements.
+While the getting started examples above show how to configure the connector in one large command, it is easier to manage this as a separate file. The following example show how to configure the connector using a configuration in json format. The "https://docs.datastax.com/en/pulsar-connector/docs/pulsarQuickStart.html[Pulsar Connector single instance quick start]" guide provides a good example of this. Below are the minimum requirements.
 
 Create a file named configs.json using the following structure:
 

modules/pulsar-io/pages/connectors/sinks/cloud-storage.adoc

@@ -85,7 +85,7 @@ By default, when the connector receives a message with a non-supported schema ty
 
 == Dead-letter topics
 
-To use a dead-letter topic, set `skipFailedMessages` to `false` in the cloud provider config. Then using either pulsar-admin or curl, set `--max-redeliver-count` and `--dead-letter-topic`. For more info about dead-letter topics, see the https://pulsar.apache.org/docs/en/concepts-messaging/#dead-letter-topic[Pulsar documentation^]. If a message fails to be sent to the Cloud Storage sink and there is a dead-letter topic, the connector will send the message to the assigned topic.
+To use a dead-letter topic, set `skipFailedMessages` to `false` in the cloud provider config. Then using either pulsar-admin or curl, set `--max-redeliver-count` and `--dead-letter-topic`. For more info about dead-letter topics, see the https://pulsar.apache.org/docs/en/concepts-messaging/#dead-letter-topic[Pulsar documentation]. If a message fails to be sent to the Cloud Storage sink and there is a dead-letter topic, the connector will send the message to the assigned topic.
 
 == Managing the Connector
 
@@ -152,8 +152,8 @@ include::example$connectors/sinks/cloud-storage/azure-blob.csv[]
 
 == What's next?
 
-Learn more about https://cloud.google.com/storage[Google’s Cloud Storage^].
+Learn more about https://cloud.google.com/storage[Google’s Cloud Storage].
 
-Learn more about https://azure.microsoft.com/en-us/products/storage/blobs[Azure Blob Store^].
+Learn more about https://azure.microsoft.com/en-us/products/storage/blobs[Azure Blob Store].
 
-Learn more about https://aws.amazon.com/s3/[AWS S3^].
+Learn more about https://aws.amazon.com/s3/[AWS S3].

modules/pulsar-io/pages/connectors/sinks/elastic-search.adoc

@@ -13,13 +13,13 @@ Use Elasticsearch to store, search, and manage data for logs, metrics, search ba
 
 [NOTE]
 ====
-Astra Streaming currently supports Apache Pulsar {pulsar_version}, which uses the https://opensearch.org/docs/1.2/clients/java-rest-high-level/[OpenSearch 1.2.4 library^] to interact with
+Astra Streaming currently supports Apache Pulsar {pulsar_version}, which uses the https://opensearch.org/docs/1.2/clients/java-rest-high-level/[OpenSearch 1.2.4 library] to interact with
 Elasticsearch.
 ====
 
 [NOTE]
 ====
-To understand compatibility between OpenSearch and Elasticsearch, refer to https://opensearch.org/faq/#q1.8[question 1.8^] in the FAQs.
+To understand compatibility between OpenSearch and Elasticsearch, refer to https://opensearch.org/faq/#q1.8[question 1.8] in the FAQs.
 ====
 
 == Get Started
@@ -49,10 +49,10 @@ include::example$connectors/sinks/astra.csv[]
 
 These values are provided in the "configs" area.
 
-The Astra Streaming Elasticsearch sink connector supports all configuration properties provided by Apache Pulsar. Please refer to the https://pulsar.apache.org/docs/io-elasticsearch-sink/#property[connector properties^] for a complete list.
+The Astra Streaming Elasticsearch sink connector supports all configuration properties provided by Apache Pulsar. Please refer to the https://pulsar.apache.org/docs/io-elasticsearch-sink/#property[connector properties] for a complete list.
 
 == What's next?
 
-Learn more about Elasticsearch’s features and capabilities on https://www.elastic.co/elasticsearch/[Elasticsearch^].
+Learn more about Elasticsearch’s features and capabilities on https://www.elastic.co/elasticsearch/[Elasticsearch].
 
-Learn more about Apache Pulsar's Elasticsearch sink in the https://pulsar.apache.org/docs/io-elasticsearch-sink/[Pulsar documentation^].
+Learn more about Apache Pulsar's Elasticsearch sink in the https://pulsar.apache.org/docs/io-elasticsearch-sink/[Pulsar documentation].

modules/pulsar-io/pages/connectors/sinks/google-bigquery.adoc

@@ -8,13 +8,13 @@
 
 BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence. BigQuery's serverless architecture lets you use SQL queries to answer your organization's biggest questions with zero infrastructure management. BigQuery's scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes.
 
-BigQuery Pulsar Sink is not integrated with BigQuery directly. It uses Pulsar’s built-in https://pulsar.apache.org/docs/adaptors-kafka/[Kafka Connect adapter^] library to transform message data into a Kafka compatible format. Then the https://docs.confluent.io/kafka-connectors/bigquery/current/kafka_connect_bigquery_config.html[Kafka Connect BigQuery Sink^] is used as the actual BigQuery integration. The adaptor provides a flexible and extensible framework for data transformation and processing. It supports various data formats, including JSON, Avro, and Protobuf, and enables users to apply transformations on the data as it is being streamed from Pulsar.
+BigQuery Pulsar Sink is not integrated with BigQuery directly. It uses Pulsar’s built-in https://pulsar.apache.org/docs/adaptors-kafka/[Kafka Connect adapter] library to transform message data into a Kafka compatible format. Then the https://docs.confluent.io/kafka-connectors/bigquery/current/kafka_connect_bigquery_config.html[Kafka Connect BigQuery Sink] is used as the actual BigQuery integration. The adaptor provides a flexible and extensible framework for data transformation and processing. It supports various data formats, including JSON, Avro, and Protobuf, and enables users to apply transformations on the data as it is being streamed from Pulsar.
 
 You will notice references to Kafka throughout the configuration. *You don’t need a running instance of Kafka to use this connector.* The Kafka references are used as "translation points” by this connector.
 
 [NOTE]
 ====
-If you would like some background on the Kafka Connect adapter and its use cases, read "https://www.datastax.com/blog/simplify-migrating-kafka-to-pulsar-kafka-connect-support[Simplify migrating from Kafka to Pulsar with Kafka Connect Support^]" and also "https://medium.com/building-the-open-data-stack/datastax-presents-snowflake-sink-connector-for-apache-pulsar-53629b196064[DataStax’s Snowflake Sink Connector for Apache Pulsar^]".
+If you would like some background on the Kafka Connect adapter and its use cases, read "https://www.datastax.com/blog/simplify-migrating-kafka-to-pulsar-kafka-connect-support[Simplify migrating from Kafka to Pulsar with Kafka Connect Support]" and also "https://medium.com/building-the-open-data-stack/datastax-presents-snowflake-sink-connector-for-apache-pulsar-53629b196064[DataStax’s Snowflake Sink Connector for Apache Pulsar]".
 ====
 
 == Get Started
@@ -42,7 +42,7 @@ include::example$connectors/sinks/astra.csv[]
 
 === Kafka Connect Adapter Configuration (configs)
 
-These values are provided in the “configs” area. View the code for these configurations https://github.com/apache/pulsar/blob/master/pulsar-io/kafka-connect-adaptor/src/main/java/org/apache/pulsar/io/kafka/connect/PulsarKafkaConnectSinkConfig.java[here^].
+These values are provided in the “configs” area. View the code for these configurations https://github.com/apache/pulsar/blob/master/pulsar-io/kafka-connect-adaptor/src/main/java/org/apache/pulsar/io/kafka/connect/PulsarKafkaConnectSinkConfig.java[here].
 
 [%header,format=csv,cols="2,1,1,3"]
 |===
@@ -51,7 +51,7 @@ include::example$connectors/sinks/bigquery/config.csv[]
 
 === Google BigQuery Configuration (kafkaConnectorConfigProperties)
 
-These values are provided in the "kafkaConnectorConfigProperties" area. View the code for these configurations https://github.com/confluentinc/kafka-connect-bigquery/blob/master/kcbq-connector/src/main/java/com/wepay/kafka/connect/bigquery/config/BigQuerySinkConfig.java[here^].
+These values are provided in the "kafkaConnectorConfigProperties" area. View the code for these configurations https://github.com/confluentinc/kafka-connect-bigquery/blob/master/kcbq-connector/src/main/java/com/wepay/kafka/connect/bigquery/config/BigQuerySinkConfig.java[here].
 
 [%header,format=csv,cols="2,1,1,3"]
 |===
@@ -60,4 +60,4 @@ include::example$connectors/sinks/bigquery/kafkaConnectorConfigProperties.csv[]
 
 == What's next?
 
-Learn more about Google’s BigQuery features and capabilities on https://cloud.google.com/bigquery[their site^].
+Learn more about Google’s BigQuery features and capabilities on https://cloud.google.com/bigquery[their site].

modules/pulsar-io/pages/connectors/sinks/jdbc-clickhouse.adoc

@@ -43,11 +43,11 @@ include::example$connectors/sinks/astra.csv[]
 These values are provided in the "configs" area.
 
 The Astra Streaming JDBC Clickhouse sink connector supports all configuration properties provided by Apache Pulsar. Please refer to the https://pulsar.apache.org/docs/io-jdbc-sink#property[connector
-properties^]
+properties]
 for a complete list.
 
 == What's next?
 
-Learn more about Clickhouse's features and capabilities on https://clickhouse.com/[their site^].
+Learn more about Clickhouse's features and capabilities on https://clickhouse.com/[their site].
 
-Learn more about Apache Pulsar's JDBC sink connector https://pulsar.apache.org/docs/io-jdbc-sink[here^].
+Learn more about Apache Pulsar's JDBC sink connector https://pulsar.apache.org/docs/io-jdbc-sink[here].

modules/pulsar-io/pages/connectors/sinks/jdbc-mariadb.adoc

@@ -7,9 +7,9 @@
 
 = JDBC MariaDB
 
-MariaDB is the open source relational database loved by developers all over the world. Created by MySQL’s original developers, MariaDB is compatible with MySQL and guaranteed to stay open source forever. MariaDB powers some of the world’s most popular websites such as Wikipedia and WordPress.com. It is also the core engine behind banking, social media, mobile and e-commerce sites worldwide. MariaDB Connector/J is a Type 4 JDBC driver. It was developed specifically as a lightweight JDBC connector for use with MariaDB and MySQL database servers. It was originally based on the Drizzle JDBC code with numerous additions and bug fixes. Learn more about MariaDB on https://mariadb.org/[their site^].
+MariaDB is the open source relational database loved by developers all over the world. Created by MySQL’s original developers, MariaDB is compatible with MySQL and guaranteed to stay open source forever. MariaDB powers some of the world’s most popular websites such as Wikipedia and WordPress.com. It is also the core engine behind banking, social media, mobile and e-commerce sites worldwide. MariaDB Connector/J is a Type 4 JDBC driver. It was developed specifically as a lightweight JDBC connector for use with MariaDB and MySQL database servers. It was originally based on the Drizzle JDBC code with numerous additions and bug fixes. Learn more about MariaDB on https://mariadb.org/[their site].
 
-Read more about Apache Pulsar's JDBC sink connector https://pulsar.apache.org/docs/io-jdbc-sink[here^].
+Read more about Apache Pulsar's JDBC sink connector https://pulsar.apache.org/docs/io-jdbc-sink[here].
 
 [NOTE]
 ====
@@ -44,5 +44,5 @@ include::example$connectors/sinks/astra.csv[]
 These values are provided in the "configs" area.
 
 The Astra Streaming JDBC MariaDB sink connector supports all configuration properties provided by Apache Pulsar. Please refer to the https://pulsar.apache.org/docs/io-jdbc-sink#property[connector
-properties^]
+properties]
 for a complete list.

modules/pulsar-io/pages/connectors/sinks/jdbc-postgres.adoc

@@ -45,10 +45,10 @@ include::example$connectors/sinks/astra.csv[]
 These values are provided in the "configs" area.
 
 The {product_name} JDBC PostgreSQL sink connector supports all configuration properties provided by Apache Pulsar. Refer to the https://pulsar.apache.org/docs/io-jdbc-sink#property[connector
-properties^] for a complete list.
+properties] for a complete list.
 
 == What's next?
 
-Learn more about PostgreSQL on https://www.postgresql.org/[their site^].
+Learn more about PostgreSQL on https://www.postgresql.org/[their site].
 
-Read more about Apache Pulsar's PostgreSQL sink connector https://pulsar.apache.org/docs/io-jdbc-sink[here^].
+Read more about Apache Pulsar's PostgreSQL sink connector https://pulsar.apache.org/docs/io-jdbc-sink[here].