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CONCEPT_Success_GW_Automation.json
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CONCEPT_Success_GW_Automation.json
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[{"name":"Concept: Workflow runbook with SuccessGateway","description":"This is a concept runbook that delivers and uses the GW_Success automation.","steps":[{"number":1,"description":"\n<p dir=\"ltr\">This is a sample runbook provided to show the concept of reacting on the output of a \"Multi Target Automation\"</p>\n\n<p dir=\"ltr\">This runbook shows how to <strong>react / cleanup on those systems where an automation was not successful.</strong></p>\n\n<p dir=\"ltr\"><img 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\" width=\"674\" height=\"277\"><br>\n<br>\n<br>\nAs runbook steps this is translated to::</p>\n\n<table dir=\"ltr\" style=\"border-collapse: collapse; border-color: rgb(105, 105, 105);\" width=\"783\" height=\"228\" border=\"1\">\n\t<tbody>\n\t\t<tr>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105);\"><strong><span style=\"font-size:24px;\">•</span> (Start)</strong></td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 50px;\">Step 2</td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 596px;\">Find affected systems</td>\n\t\t</tr>\n\t\t<tr>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105);\"><strong>→</strong></td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 50px;\">Step 3</td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 596px;\">Try to patch the systems</td>\n\t\t</tr>\n\t\t<tr>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105);\"><strong><span style=\"font-size:24px;\">♦ </span>(Condition)</strong></td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 50px;\">Step 4</td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 596px;\">Use GW Automation<strong> as condition</strong> to create target list with [0..n] hostnames.<br>\n\t\t\tGet list of hostname on which patch was <strong>unsuccessfull<br>\n\t\t\tUse as Input the MTA output of Step 3</strong></td>\n\t\t</tr>\n\t\t<tr>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105);\"><strong>→ (Conditional)</strong></td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 50px;\">Step 5</td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 596px;\">Force another patch. Make the system clean again.<br>\n\t\t\t<strong>Use as Input results calculated in Step 4</strong></td>\n\t\t</tr>\n\t\t<tr>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105);\"><strong><span style=\"font-size:24px;\">♦ </span>(Condition)</strong></td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 50px;\">Step 6</td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 596px;\">Use GW Automation<strong> as condition</strong> to create target list with [0..n] hostnames.<br>\n\t\t\tGet list of hostname on which patch was <strong>failed<br>\n\t\t\tUse as Input the MTA output of Step 3</strong></td>\n\t\t</tr>\n\t\t<tr>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105);\"><strong>→ (Conditional)</strong></td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 50px;\">Step 7</td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 596px;\">Check if system is still available via PING.<br>\n\t\t\t<strong>Use as Input results calculated in Step 6</strong></td>\n\t\t</tr>\n\t\t<tr>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105);\"><strong><span style=\"font-size:20px;\">× </span>(End)</strong></td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 50px;\"> </td>\n\t\t\t<td style=\"border-color: rgb(105, 105, 105); width: 596px;\"> </td>\n\t\t</tr>\n\t</tbody>\n</table>\n\n<p dir=\"ltr\"> </p>\n\n"},{"number":2,"description":"\n<p dir=\"ltr\">This automation simply prints a list of <strong><OS> <HOSTNAME> <A_COMPONENT> </strong>out.<br>\n<strong>It is just for demo purposes to show the concept.</strong> If you want to use this runbook and run in you environment than you have to edit this automation and add a list of real HOSTNAMES to be printed instead.</p>\n\n<p dir=\"ltr\">This step uses the output of previous step to create a Key=Value list for the GW Automation in next step.<br>\nIf the Automation in previous step is already able to provide this Key=Value list then this automation can be omitted.</p>\n\n<p dir=\"ltr\"><strong><span style=\"color:#0000FF;\">Notice</span>: </strong>Do not skip execution of this automation - the result of this automation is being used as one input of the Gateway Automation in step 5.</p>\n\n<p dir=\"ltr\"><span class=\"span-grp rba-autom\" data-automationid=\"§§exportedAutomation_3_§§\" data-mappingid=\"7\" contenteditable=\"false\">Calc Patch Systems by OS</span></p>\n\n"},{"number":3,"description":"\n<p dir=\"ltr\">This step simulates a required patch on the systems which have been \"calculated\" in step before.<br>\nSince this is only a demonstration runbook - no patch will be done. Instead we list the installation information of the package name being provided a runbook parameter and passed to a parameter of the following automation.</p>\n\n<p dir=\"ltr\"><span class=\"span-grp rba-autom\" data-automationid=\"§§exportedAutomation_2_§§\" data-mappingid=\"10\" contenteditable=\"false\">Display Package Info</span></p>\n\n"},{"number":4,"description":"\n<p dir=\"ltr\">This step analyzes the output of the Multi-Target Automation (MTA) which ran in previous step. As result of this automation an MTA target list is being created of systems on which the automation of Step 3 was <span style=\"color:#FFA07A;\"><strong>UNSUCCESSFUL</strong></span>.</p>\n\n<p dir=\"ltr\"><span class=\"span-grp rba-autom\" data-automationid=\"§§exportedAutomation_0_§§\" data-mappingid=\"11\" contenteditable=\"false\">GW Get Target List By State</span></p>\n\n"},{"number":5,"description":"\n<p dir=\"ltr\">► In this step we handle those systems with a special automation on which the mitigation step was</p>\n\n<p dir=\"ltr\"><strong>►</strong><span style=\"color:#FFFFFF;\"><strong> </strong></span><span style=\"color:#FFA07A;\"><strong>UNSUCCESSFUL</strong>.</span> If the list created in previous step is empty - then the mitigation was not unsuccessful</p>\n\n<p dir=\"ltr\">► anywhere and following automation is not running.</p>\n\n<p dir=\"ltr\">► <span class=\"span-grp rba-autom\" data-automationid=\"§§exportedAutomation_1_§§\" data-mappingid=\"12\" contenteditable=\"false\">Get TOP Processes</span></p>\n\n"},{"number":6,"description":"\n<p dir=\"ltr\">List the systems on which the previous automation was <span style=\"color:#FF0000;\"><strong>FAILED</strong></span></p>\n\n<p dir=\"ltr\"><span style=\"background-color:#FF0000;\"><span class=\"span-grp rba-autom\" data-automationid=\"§§exportedAutomation_0_§§\" data-mappingid=\"9\" contenteditable=\"false\">GW Get Target List By State</span></span></p>\n\n"},{"number":7,"description":"\n<p dir=\"ltr\">► In this step we handle those systems with a special automation on which the mitigation step was</p>\n\n<p dir=\"ltr\"><strong>►</strong><span style=\"color:#FF0000;\"><strong> FAILED</strong></span>. If the list created in previous step is empty - then the mitigation was not failing anywhere</p>\n\n<p dir=\"ltr\">► and following automation is not running.</p>\n\n<p dir=\"ltr\">► <span class=\"span-grp rba-autom\" data-automationid=\"§§exportedAutomation_1_§§\" data-mappingid=\"12\" contenteditable=\"false\">Get TOP Processes</span></p>\n"}],"parameters":[{"name":"PACKAGENAME","description":"This is the package name to be checked with yum","defaultValue":"bash.x86_64"}],"tags":["concept","gw-automation"],"automationMappings":[{"mappingId":"7","parameterMappings":[{"automationParameterName":"target","parameterMappingType":"fixed","parameterValue":"localhost"},{"automationParameterName":"user","parameterMappingType":"fixed","parameterValue":"root"}]},{"mappingId":"9","parameterMappings":[{"automationParameterName":"target","parameterMappingType":"fixed","parameterValue":"localhost"},{"automationParameterName":"user","parameterMappingType":"fixed","parameterValue":"root"},{"automationParameterName":"$MTAOUTPUT","parameterMappingType":"automationOutput","parameterValue":""},{"automationParameterName":"$STATUS","parameterMappingType":"fixed","parameterValue":"SUCCESSFUL"}]},{"mappingId":"10","parameterMappings":[{"automationParameterName":"target","parameterMappingType":"automationOutput","parameterValue":"2"},{"automationParameterName":"user","parameterMappingType":"fixed","parameterValue":"root"},{"automationParameterName":"$PACKAGE","parameterMappingType":"parameter","parameterValue":"PACKAGENAME"}]},{"mappingId":"11","parameterMappings":[{"automationParameterName":"target","parameterMappingType":"fixed","parameterValue":"localhost"},{"automationParameterName":"user","parameterMappingType":"fixed","parameterValue":"root"},{"automationParameterName":"$MTAOUTPUT","parameterMappingType":"automationOutput","parameterValue":"3"},{"automationParameterName":"$STATUS","parameterMappingType":"fixed","parameterValue":"UNSUCCESSFUL"}]},{"mappingId":"12","parameterMappings":[{"automationParameterName":"target","parameterMappingType":"automationOutput","parameterValue":"4"},{"automationParameterName":"user","parameterMappingType":"fixed","parameterValue":"root"},{"automationParameterName":"$Iterations","parameterMappingType":"fixed","parameterValue":"2"}]}],"automations":{"§§exportedAutomation_0_§§":{"name":"GW Get Target List By State","type":"SCRIPT","description":"This GW automation is intended to return the list of systems on which a MTA did run (SUCCESSFUL | UNSUCCESSFUL | FAILED) before. \nThe returned list can be used as target for another MTA in order to run for example a cleanup script, where needed.","parameters":[{"name":"target","description":"Target system where the script will be executed"},{"name":"user","description":"User ID that is used to run the script"},{"name":"$MTAOUTPUT","description":"Specify the output of an MTA"},{"name":"$STATUS","description":"This is the STATUS for which the list is required (UNSUCCESSFUL | SUCCESSFUL | FAILED)","defaultValue":"SUCCESSFUL"}],"fields":[{"name":"script_ssh","description":"script content","encoding":"base64","value":"SUZTPSQnCicKc2hvcHQgLXMgbm9jYXNlbWF0Y2gKCmZvciB4IGluICRNVEFPVVRQVVQKZG8KICBpZiBbWyAkeCA9PSAkU1RBVFVTKiBdXQogIHRoZW4KICAgIGxpc3Q9JHt4Iyo6IH0KICBmaQpkb25lCgplY2hvIC1uICRsaXN0"}]},"§§exportedAutomation_1_§§":{"name":"Get TOP Processes","type":"SCRIPT","description":"This automation calls the standard Unix TOP command to list a system summary as well as current existing processes and threads.","parameters":[{"name":"target","description":"Target system where the script will be executed"},{"name":"user","description":"User ID that is used to run the script"},{"name":"$Iterations","description":"Number of Iterations to run by top before to stop","defaultValue":"3"}],"fields":[{"name":"script_ssh","description":"script content","encoding":"base64","value":"dG9wIC1iIC1uJEl0ZXJhdGlvbnM="}]},"§§exportedAutomation_2_§§":{"name":"Display Package Info","type":"SCRIPT","description":"This automation simply uses \"yum\" to display the information of the package which has been specified by parameter.","parameters":[{"name":"target","description":"Target system where the script will be executed"},{"name":"user","description":"User ID that is used to run the script"},{"name":"$PACKAGE","description":"The name of the package to be checked"}],"fields":[{"name":"script_ssh","description":"script content","encoding":"base64","value":"IyEvYmluL3NoCnNldCAteAoKeXVtIGluZm8gJFBBQ0tBR0U="}]},"§§exportedAutomation_3_§§":{"name":"Calc Patch Systems by OS","type":"SCRIPT","description":"This returns the number of systems to be pathched by OS","parameters":[{"name":"target","description":"Target system where the script will be executed"},{"name":"user","description":"User ID that is used to run the script"}],"fields":[{"name":"script_ssh","description":"script content","encoding":"base64","value":"ZWNobyAtbiBMaW51eD00OkFJWD0yOldJTj0z"}]}}}]