From d817550ce8295c064693f371169d726860186ac9 Mon Sep 17 00:00:00 2001 From: dbacarella Date: Tue, 16 Nov 2021 11:37:17 -0600 Subject: [PATCH] Updated for corrections Updated document to reflect current system views, and to explain actions in greater detail. --- .vscode/settings.json | 6 ++ .../images/click_create_topic.png | Bin 108915 -> 93581 bytes .../images/click_create_topic.png.old | Bin 0 -> 108915 bytes .../images/create_event_streams.png | Bin 165556 -> 163006 bytes .../images/create_event_streams.png.old | Bin 0 -> 165556 bytes .../images/create_new_ibm_log_analysis.png | Bin 0 -> 327550 bytes .../create_new_ibm_log_analysis_instance.png | Bin 0 -> 202374 bytes .../images/create_topic.png | Bin 103765 -> 277984 bytes .../images/create_topic.png.old | Bin 0 -> 103765 bytes .../images/enable_platform_logging.png | Bin 0 -> 139255 bytes .../images/enter_partitions.png | Bin 122419 -> 301800 bytes .../images/enter_partitions.png.old | Bin 0 -> 122419 bytes .../images/enter_topic_name.png | Bin 94193 -> 273911 bytes .../images/enter_topic_name.png.old | Bin 0 -> 94193 bytes .../images/note_credentials.png | Bin 268670 -> 551607 bytes .../images/note_credentials.png.old | Bin 0 -> 268670 bytes .../open_ibm_log_analysis_dashboard.png | Bin 0 -> 156096 bytes .../index.mdx | 73 +++++++++++++----- 18 files changed, 60 insertions(+), 19 deletions(-) create mode 100644 .vscode/settings.json create mode 100644 website/src/pages/log-streaming/configure-streaming-for-third-party-tools/images/click_create_topic.png.old create mode 100644 website/src/pages/log-streaming/configure-streaming-for-third-party-tools/images/create_event_streams.png.old create mode 100644 website/src/pages/log-streaming/configure-streaming-for-third-party-tools/images/create_new_ibm_log_analysis.png create mode 100644 website/src/pages/log-streaming/configure-streaming-for-third-party-tools/images/create_new_ibm_log_analysis_instance.png create mode 100644 website/src/pages/log-streaming/configure-streaming-for-third-party-tools/images/create_topic.png.old create mode 100644 website/src/pages/log-streaming/configure-streaming-for-third-party-tools/images/enable_platform_logging.png create mode 100644 website/src/pages/log-streaming/configure-streaming-for-third-party-tools/images/enter_partitions.png.old create mode 100644 website/src/pages/log-streaming/configure-streaming-for-third-party-tools/images/enter_topic_name.png.old create mode 100644 website/src/pages/log-streaming/configure-streaming-for-third-party-tools/images/note_credentials.png.old create mode 100644 website/src/pages/log-streaming/configure-streaming-for-third-party-tools/images/open_ibm_log_analysis_dashboard.png diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 00000000..b151dc8a --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,6 @@ +{ + "cSpell.words": [ + "roks", + "seim" + ] +} \ No newline at end of file diff --git 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zqg|f!K;a~r%3C0hBOmGRO>dNH-intJv$~;5TR{PnAIgTHW;#DxzmyA6tT&t-j}Mm5 zRU?V*9Bv>W6cW6y7s8d20huB|9=nQhlT8`i@j0|QHgZ?AFkeT`VH`Vs{s4(8#93J1 zv!OJGwgY-$=IRyR3a#Ir`B#oSQjDh1`xj*$s!LKi6cA7VX?s^%`Wq93?3sgjVwKQgxnJIm-u{ zZO0jqp3s~12cB&f^4i2$0tC}M+y~Z0;1_=6ofZuQ5w-istN%j4WS4m~CI;5Ms(VM=Nsr5pkhf3Yra$9pBxb`Yhr z&TY$c-An{h@j-8a9_K=14jPyF56ZG9K5+|6+x3`@kP+N#=tRyZekYGMG_)o_Y`5Rb zQ(P44O19|;k*dQlP(4ZCK7RI@r?y-4t>V9K|4qMMNx$Moo#NPL7k^>%u})XzdHVM7 z%^UA;-+uq&_S4V5&;{Zv+bb`=usuh=>VOCK0sLwM9{&Rm_URpkN6X;=0000 Streaming to enter the credentials gathered in the previous step as follows: +![Note Enable platform logging](./images/enable_platform_logging.png "Enable Platform Logging") + +Navigate to the Dashboard by clicking the blue button at the top right of the screen. + +![Note Open the IBM Log Analysis Dashboard](./images/open_ibm_log_analysis_dashboard.png "Open the IBM Log Analysis Dashboard") + +On the IBM Log Analysis Dashboard, navigate to the 'settings' using the gear icon > Streaming > Configuration to enter the credentials gathered in the previous step as follows: a. Username = user //always “token” b. Password = api_key // apikey from Event Streams credentials. + c. Kafka URLs = kafka_brokers_sasl // Entered in on individual lines. d. Enter the name of a topic that we created earlier in event streams instance and hit @@ -53,13 +76,20 @@ d. Enter the name of a topic that we created earlier in event streams instance a e. Streaming may take up to 15 minutes to begin. +Once the system is configured, click on the hexagonal icon that contains what looks like a DNA strand and watch for the logs to stream across the screen. -![LogDNA Streams configuration](./images/logdna_streams_config.png "LogDNA Streams Config") +![IBM Log Analysis Streams configuration](./images/logdna_streams_config.png "IBM Log Analysis Streams Config") ### Set up Kafka Splunk Connect #### Download Apache Kafka +The Kafka Splunk Connect provides a communication channel between the IBM Event Streams messaging service and the remote machine that streams the logs into the Splunk SEIM. + +The Kafka Splunk Connect runs outside of Splunk itself and must also be configured to connect to the Splunk instance to complete the integration. + +The following instructions depict how to connect to a Splunk instance running as a local container. Typically, companies have Splunk deployed on their internal network and the instructions will have to be adapted for a particular environment. Nonetheless, these instructions are applicable for a variety of situations. + Download Apache Kafka [here](https://www.apache.org/dyn/closer.cgi?path=/kafka/2.5.0/kafka_2.13-2.5.0.tgz). Create a folder `kafka_splunk_integration`. @@ -68,11 +98,14 @@ Extract the contents into the directory `kafka_splunk_integration`. #### Build Kafka Splunk jars -1. Clone the repo from https://github.com/splunk/kafka-connect-splunk -2. Verify that Java8 JRE or JDK is installed. -3. Run mvn package. This will build the jar in the /target directory. The name will be splunk-kafka-connect-[VERSION].jar. +1. Create a directory called `kafka_connect_splunk`. +2. Clone the repo from https://github.com/splunk/kafka-connect-splunk +3. Unzip the download into the `kafka_connect_splunk` directory. +4. Verify that Java8 JRE or JDK is installed. +5. Move to the `kafka_connect_splunk` directory +6. Run 'mvn package' command. This will build the jar in the `/target` directory. The name will be `splunk-kafka-connect-[VERSION].jar`. -Create a folder `connector` in the directory `kafka_splunk_integration`. Copy the jar file to the `connector` folder. +Create a folder called `connector` in the directory `kafka_splunk_integration`. Copy the jar file to the `connector` folder. #### Modify connect-distributed.properties for Kafka connect @@ -83,6 +116,8 @@ Download the `connect-distributed.properties` [here](https://github.com/IBM/clou ### Run Kafka connect +This completes the connection between the remote machine and the IBM Event Streams service. + Open a terminal. Run the below commands. The [base dir] is the directory under which we created the folder `kafka_splunk_integration`. ``` @@ -114,13 +149,13 @@ Click on `Settings` and then select `Indexes`. Click on `New Index`. ![New Index](./images/new_index.png "New Index") -Enter a name say `logdnaindex` and click on `Save`. +Enter a name say `ibmindex` and click on `Save`. ![Index details](./images/index_details.png "Index details") The index is now created. Make a note of the index name. We will need it to instantiate the connector. -Next, click on `Settings`-`Data Input`-`HTTP Event Collector` to go to `HTTP Event Collector` page. Click on `General Settings` on HTTP Event Collector page and un-select the `Enable SSL` option. +Next, click on `Settings`-`Data Input`-`HTTP Event Collector` to go to `HTTP Event Collector` page. Click on `Global Settings` on HTTP Event Collector page and un-select the `Enable SSL` option. #### Create a token @@ -132,7 +167,7 @@ Click on `Add New` to create a new `Http Event Collector`. ![Add new HEC](./images/add_new_hec.png "Add new HEC") -Enter a name say `logdnatoken` and select `Enable Indexer`. Click on `Next`. +Enter a name say `ibmloganalysistoken` and select `Enable Indexer`. Click on `Next`. ![Enter token details](./images/enter_token_details.png "Enter token details") @@ -150,7 +185,7 @@ Copy the created token. We will need it to instantiate the connector. ### Create an instance of Kafka Splunk connector -Open a new terminal. Run the below command after specifying token. Also note that `topics` field is `logdnatopic` that we created earlier in `Event Streams`, and `splunk.indexes` is `logdnaindex` that we created on Splunk. +Open a new terminal. Run the below command after specifying token. Also note that `topics` field is `ibmloganalysistopic` that we created earlier in `Event Streams`, and `splunk.indexes` is `ibmloganalysisindex` that we created on Splunk. ``` $curl localhost:8083/connectors -X POST -H "Content-Type: application/json" -d '{ @@ -158,8 +193,8 @@ $curl localhost:8083/connectors -X POST -H "Content-Type: application/json" -d ' "config": { "connector.class": "com.splunk.kafka.connect.SplunkSinkConnector", "tasks.max": "3", - "splunk.indexes": "logdnaindex", - "topics":"logdnatopic", + "splunk.indexes": "ibmloganalysisindex", + "topics":"ibmloganalysistopic", "splunk.hec.uri": "http://localhost:8088", "splunk.hec.token": "[token]" } @@ -191,7 +226,7 @@ Go to `Settings` and choose `Searches, reports, and alerts`. ![Create dashboard](./images/create_dashboard2.png "Create dashboard") -Choose the report you wish to run, similar to the screen below. The `Gsi Logdna` report is used in this screenshot +Choose the report you wish to run, similar to the screen below. The `Gsi IBM Log Analysis` report is used in this screenshot ![Create dashboard](./images/create_dashboard3d.png "Create dashboard")

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