Fixed old links

Author: Petter Graff

labs/01-Verify-Installation/hello-world-kafka.md

@@ -19,9 +19,9 @@ Because we use docker and docker-compose, the commands to run the kafka CLI are
 
 We have all of the commands listed in the exercise below, so you can simply copy and paste, but as you get more advanced, you may want to experiment with the CLI.
 
-One way to make this simpler is to alias your commands. When we run the Kafka commands in the running docker image, we reach into the image and run a command in the directory `/opt/kafka_2.11-0.10.1.1/bin/`.
+One way to make this simpler is to alias your commands. When we run the Kafka commands in the running docker image, we reach into the image and run a command in the directory `/opt/kafka/bin/`.
 
-This means that all of our commands are preseeded with the following noise: `docker-compose exec kafka /opt/kafka_2.11-0.10.1.1/bin/`
+This means that all of our commands are preseeded with the following noise: `docker-compose exec kafka /opt/kafka/bin/`
 
 You may want to alias these commands. In Linux and Mac, you can simply create aliases in your terminal setup.
 

labs/04-Implement-Topics-And-Partitions/heartbeat-simulator/producer.md

@@ -89,14 +89,14 @@ All the directory references in this lab is relative to where you expended the l
 1. Open an additional terminal window in the lesson directory, `docker/`. We are going to create two topics that will be used in the Producer program. Run the following commands:
 
     ```
-    $ docker-compose exec kafka /opt/kafka_2.11-0.10.1.1/bin/kafka-topics.sh --create --zookeeper zookeeper:2181 --replication-factor 1 --partitions 1 --topic user-events
-    $ docker-compose exec kafka /opt/kafka_2.11-0.10.1.1/bin/kafka-topics.sh --create --zookeeper zookeeper:2181 --replication-factor 1 --partitions 1 --topic global-events
+    $ docker-compose exec kafka /opt/kafka/bin/kafka-topics.sh --create --zookeeper zookeeper:2181 --replication-factor 1 --partitions 1 --topic user-events
+    $ docker-compose exec kafka /opt/kafka/bin/kafka-topics.sh --create --zookeeper zookeeper:2181 --replication-factor 1 --partitions 1 --topic global-events
     ```
 
 1. List the topics to double check they were created without any issues.
 
     ```
-    $ docker-compose exec kafka /opt/kafka_2.11-0.10.1.1/bin/kafka-topics.sh --list --zookeeper zookeeper:2181
+    $ docker-compose exec kafka /opt/kafka/bin/kafka-topics.sh --list --zookeeper zookeeper:2181
     global-events
     user-events
     ```
@@ -107,7 +107,7 @@ All the directory references in this lab is relative to where you expended the l
     <dependency>
         <groupId>org.apache.kafka</groupId>
         <artifactId>kafka-clients</artifactId>
-        <version>0.10.1.1</version>
+        <version>1.1.0</version>
     </dependency>
     <dependency>
         <groupId>com.google.guava</groupId>

labs/06-Streaming/iot-kafka-solution/gps-pump/producer.md

@@ -89,14 +89,14 @@ All the directory references in this lab is relative to where you expended the l
 1. Open an additional terminal window in the lesson directory, `docker/`. We are going to create two topics that will be used in the Producer program. Run the following commands:
 
     ```
-    $ docker-compose exec kafka /opt/kafka_2.11-0.10.1.1/bin/kafka-topics.sh --create --zookeeper zookeeper:2181 --replication-factor 1 --partitions 1 --topic user-events
-    $ docker-compose exec kafka /opt/kafka_2.11-0.10.1.1/bin/kafka-topics.sh --create --zookeeper zookeeper:2181 --replication-factor 1 --partitions 1 --topic global-events
+    $ docker-compose exec kafka /opt/kafka/bin/kafka-topics.sh --create --zookeeper zookeeper:2181 --replication-factor 1 --partitions 1 --topic user-events
+    $ docker-compose exec kafka /opt/kafka/bin/kafka-topics.sh --create --zookeeper zookeeper:2181 --replication-factor 1 --partitions 1 --topic global-events
     ```
 
 1. List the topics to double check they were created without any issues.
 
     ```
-    $ docker-compose exec kafka /opt/kafka_2.11-0.10.1.1/bin/kafka-topics.sh --list --zookeeper zookeeper:2181
+    $ docker-compose exec kafka /opt/kafka/bin/kafka-topics.sh --list --zookeeper zookeeper:2181
     global-events
     user-events
     ```
@@ -107,7 +107,7 @@ All the directory references in this lab is relative to where you expended the l
     <dependency>
         <groupId>org.apache.kafka</groupId>
         <artifactId>kafka-clients</artifactId>
-        <version>0.10.1.1</version>
+        <version>1.1.0</version>
     </dependency>
     <dependency>
         <groupId>com.google.guava</groupId>

labs/06-Streaming/spark-streaming-iot.md

@@ -177,15 +177,15 @@ Run `docker-compose up` from the `docker` directory.
 Create topic `vehicle-observations`
 
 ```
-$ docker-compose exec kafka /opt/kafka_2.11-0.10.1.1/bin/kafka-topics.sh --create --zookeeper zookeeper:2181 --replication-factor 1 --partitions 1 --topic vehicle-observations
+$ docker-compose exec kafka /opt/kafka/bin/kafka-topics.sh --create --zookeeper zookeeper:2181 --replication-factor 1 --partitions 1 --topic vehicle-observations
 ```
 
 ## Producer
 
 Run the producer.
 
 ```
-$ docker-compose exec kafka /opt/kafka_2.11-0.10.1.1/bin/kafka-console-producer.sh --broker-list kafka:9092 --topic vehicle-observations
+$ docker-compose exec kafka /opt/kafka/bin/kafka-console-producer.sh --broker-list kafka:9092 --topic vehicle-observations
 ```
 
 ## Deploy

labs/06-Streaming/spark-streaming-with-kafka.md

@@ -153,7 +153,7 @@ Run the producer as in the previous lab. Enter some text and observe the output.
 In the producer terminal, run the producer and then enter a line of text:
 
 ```
-$ docker-compose exec kafka /opt/kafka_2.11-0.10.1.1/bin/kafka-console-producer.sh --broker-list kafka:9092 --topic stream-input
+$ docker-compose exec kafka /opt/kafka/bin/kafka-console-producer.sh --broker-list kafka:9092 --topic stream-input
 hello hello hi
 ```
 

labs/06-Streaming/streaming.md

@@ -382,7 +382,7 @@ Here is an example of what you may see:
 
 Here is what I typed into the producer
 ```bash
-$ docker-compose exec kafka /opt/kafka_2.11-0.10.1.1/bin/kafka-console-producer.sh --broker-list kafka:9092 --topic stream-input
+$ docker-compose exec kafka /opt/kafka/bin/kafka-console-producer.sh --broker-list kafka:9092 --topic stream-input
 this is a test message
 ```