|Exam Name||:||IBM Workload Automation V9.2 Implementation|
|Questions and Answers||:||70 Q & A|
|Updated On||:||March 16, 2018|
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combine IT provider administration with AI services on an IoT equipment
Monitoring equipment nowadays commonly send signals through incidents or e mail notifications. commonly, even though, IT groups want a more visually perceptive strategy. as an instance, when an incident or e-mail is received, or an action from an IT service administration device happens, the IT operator wants both an audible signal on a speaker or a visual signal on a lamp. These styles of alerts mean that operators now not need to retain an eye on the reveal or their smartphones.
implementing a solution that integrates carrier management methods with these styles of gadgets can also be reasonably complicated reckoning on the latest structure. this text demonstrates the way to use a in your price range set of hardware (a Raspberry Pi in a TJBot robot) and Watson APIs, IBM Watson IoT Platform, and other IBM Cloud capabilities to build a cognitive alert gadget to your IT operations.Demo use case: cognitive alert device
in this use case, a corporation has their total SAP batch workflow computerized with IBM Workload Scheduler. The operations group wants to be alerted in case of abends. For essential signals, the team wishes a lamp grew to become on and the operator to be called. however, if the operator is already current, they want best the visual indicators to be triggered; it is, no name-out to be initiated.
IBM Workload Scheduler gives a plug-in for MQTT, which will also be used to connect to an MQTT broking service (just like the one in Watson IoT Platform) and subscribe to instruments, submit messages, and send instructions. groups can construct an IoT gadget (equivalent to a TJBot with a Raspberry Pi, together with a digicam and sensors), and then use this IBM Workload Scheduler plug-in for MQTT to control the IoT gadget.
determine 1 indicates the intended architecture for this answer. IBM Workload Scheduler sends MQTT submit messages to Watson IoT Platform for each abend. TJBot has a local Node-red app listening for these messages and reacts to these MQTT message themes. TJBot leverages its sensors and is configured to blink the LED gentle, to wave its arm through the use of the servo motor, to take a picture and use Watson visible awareness service to verify if it sees a face, and at last to trigger either name-out notifications by using the Twilio service (if no face is detected) or use the Watson text-to-Speech service to communicate messages the usage of its speaker (if a face is detected).determine 1. architecture for the cognitive alert system IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image001.png" class="IBM-downsize" alt="Architecture for the cognitive alert system" height="493" width="1158"/> What you’ll deserve to build this app
Configure your Raspberry Pi
The Raspberry Pi used along with your TJBot needs to be in a position to communicate with Watson IoT Platform, the MQTT broking service, so that you deserve to installation the Eclipse Paho MQTT client to entry the MQTT libraries.
Create a Watson IoT Platform service in IBM Cloud
IBM Workload Scheduler needs to hook up with Watson IoT Platform to publish MQTT message issues. TJBot, which is the usage of the IBMiot node in its Node-crimson app, receives the activities despatched by IBM Workload Scheduler and appears for messages in the subject matter. You should request the IoT service the use of Watson IoT Platform in IBM Cloud to thoroughly enable TJBot.
you are going to use the internet of issues Platform Starter boilerplate since it deploys 4 features as a part of your app: web of things Platform, IBM SDK for Node.js, Node-pink, and Cloudant.
Register the Raspberry Pi equipment on the cyber web of things Platform carrier
Request an API Key from Watson IoT Platform for IBM Workload Scheduler
because the Node-red installing on TJBot is gaining access to Watson IoT Platform, IBM Workload Scheduler has to make use of a unique credential to connect to Watson IoT platform. for this reason, you deserve to request an software API Key from Watson IoT Platform so that it may possibly submit MQTT message issues the use of these credentials.
You’ll use these credentials later when you configure your Node-purple app.
Add Watson services to your app
finally, you need to add some Watson functions to your app to get the brains into your cognitive alert device. These capabilities assist determine if a person is at the desk the place your TJBot is and let TJBot communicate its alerts.
Configure the Raspberry Pi with the gadget credentials
in the event you installed the MQTT customer in your Raspberry Pi it began operating. before you can configure it with the new equipment credentials you need to cease it.
Configure the native Node-purple application
Now that you have updated Node-purple, installed the prerequisite Node-red modules on your Raspberry Pi, and configured your IBM Cloud app, that you could import the Node-crimson move and configure it. I’ll walk you in the course of the nodes and what they do, and reveal you the nodes you deserve to configure.
Let's evaluation the nodes in the circulate.
Configure the IBMiot enter node to get hold of movementsIBM-downsize" alt="screen shot" height="97" width="283"/>
observe: If a job run consequences in an abend, the event rule MQTT_TRIGGER_ER, which is created later in part 5, is brought on to run an MQTT job. The IBM Workload Scheduler MQTT job outcomes in a JSON object posted on the workload-sched topic in Watson IoT Platform. The IBM Workload Scheduler job step is shown in detail in area 5.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image014.png" class="IBM-downsize" alt="screen shot" height="129" width="273"/>
overview the feature that extracts information
After the enter node, the next part of the stream, which is deployed on the TJBot's native Node-pink setting up, starts with the JSON object that is obtained from the IBM Workload Scheduler MQTT job.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image015.png" class="IBM-downsize" alt="screen shot" height="103" width="368"/>
The Extract records characteristic parses the job name and return code, which is consumed by using the other capabilities, and it additionally sends a color string to be consumed by way of the neopixel LED in your TJBot.
right here code is in the Extract data feature://Extract statistics and compose message var messageText = msg.payload.jobname messageText = "The job " + msg.payload.jobname + " abended with return code " + msg.payload.jobrc; return "job": "text": messageText, "colour": "red" ;
Configure the Watson features nodes
After the flow continues from the Extract statistics feature, it captures a picture on the trap node. i take advantage of a command known as raspstill. The photograph is consumed via a visual attention API that analyzes faces within the photograph.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image016.png" class="IBM-downsize" alt="screen shot" height="57" width="987"/>
in case you put in the node-pink-node-watson node module, the Watson capabilities nodes pallets are displayed on Node-red, and you can see it on the movement imported as visual api and textual content to speech nodes.
be sure you add your API Key on the visual api node, and add the person name and password for the textual content to speech node. bear in mind that at the conclusion of area 2, you requested two capabilities from IBM Cloud, together with one for the visible attention provider. Take the API key from it and paste it under API Key for the node.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image017.png" class="IBM-downsize" alt="screen shot" height="243" width="499"/>
The output of the visible awareness API is distributed to the switch node known as have ops. If the msg.outcome.images.faces is not null, which means faces have been detected, there isn't any should call or send SMS. TJBot simplest says the job identify and return code, waves, and blinks the LED.
within the case where the have ops swap node's property is null, meaning faces had been no longer detected, TJBot initiates a call and sends an SMS message.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image018.png" class="IBM-downsize" alt="screen shot" height="315" width="514"/>
Configure the LED node
The Extract facts feature also sends a colour payload, which lights the neopixel LED installed on TJBot. in this instance, it sends a purple string to neopixels node.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image019.png" class="IBM-downsize" alt="screen shot" height="64" width="633"/>
It additionally sends a payload to the textual content-to-speech provider where it produces a file to be performed by using TJBot's audio system. input the credentials you saved from the textual content to Speech service that you added on the end of part 2.
Configure the rpi-gpio node and the have ops swap node
For the servo to wave, you should configure the rpi-gpio out node, named Servo.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image020.png" class="IBM-downsize" alt="screen shot servo" height="132" width="423"/>
be sure you in shape the GPIO you're the usage of with the atmosphere on the node. in the GPIO box, I selected Pin 22 – GPIO25.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image021.png" class="IBM-downsize" alt="screen shot" height="343" width="492"/>
Configure the twilio-api node
For the SMS and call interactions use the Twilio API, and use the account SID and token to configure to a local Node-red Twilio node.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image022.png" class="IBM-downsize" alt="screen shot" height="131" width="414"/>
Create a new Twilio account and enter the advice from the Twilio subscription.IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image023.png" class="IBM-downsize" alt="screen shot" height="287" width="491"/>
define the mobilephone quantity used for the SMS to ship the message. The content of the SMS message comes from the first characteristic I defined."messageText = "The job " + msg.payload.jobname + " abended with return code " + msg.payload.jobrc; " IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image024.png" class="IBM-downsize" alt="screen shot" height="320" width="493"/>
The Twilio out node sms job abend sends an SMS to the operator quantity that's registered on the node. For the name-out, another Twilio node is added and configured for the name output. The message is static, and might be modified, as you would love, in the example I used twimlets from Twilio to enforce the basic voice performance within the URL field.http://twimlets.com/message?Message=hiya,%20youp.c20have%20anpercent20incidentpercent20onp.c20your%20queue,%20please%20takep.c20thep.c20necessarypercent20action.%20Hello,%20youp.c20havep.c20an%20incidentpercent20on%20yourp.c20queue,%20pleasepercent20take%20thepercent20necessary%20action. IBM.com/developerworks/library/iot-cognitive-alert-system-bot/image025.png" class="IBM-downsize" alt="screen shot" height="374" width="488"/>
Configure IBM Workload Scheduler MQTT jobs and the video display experience rule
The IBM Workload Scheduler is a application automation tool that gives the backbone for automated workload management and monitoring. You leverage the MQTT job automation skill of the tool to hook up with an MQTT server and subscribe to a topic or publish a message (an experience or a command) to an issue.
Create a brand new MQTT job to publish MQTT messages
outline a brand new experience rule to display screen the ambiance for job abends
each and every abended job triggers an MQTT job that publishes a message on Watson IoT Platform.
The command submits the MQTT job prior to now created, passing the abended job identify and return code to it (placed as customized parameter 1 and a pair of).Conclusion
this article confirmed the best way to combine IT provider management items like IBM Workload Scheduler with IBM Watson IoT Platform, IBM Cloud, and a robotic built with not pricey hardware (TJBot). by using Node-red, that you may instantly connect lower back-end tactics with new services and design powerful functionalities that advantage IT operations personnel.subsequent steps
accept as true with enhancing your cognitive alert device in a single (or greater) of these techniques:
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long island, the big apple -- (SBWIRE) -- 10/31/2017 -- The pace of application building in the IT business is increasing and builders today are scrambling to find new the right way to make their application start procedure more agile and scalable. moreover developers are working in complex environments, dealing with heterogeneous applications, databases and structures. To speed up the time from design to start, IT corporations can automate the process of developing batch jobs and work flows. These software are also needed to retain batch exercise between disparate working techniques and enterprise applications.
Workload Scheduling and Automation application is a device for automating IT processes streamlining workflows. These software help builders automate and combine enterprise and IT processes, standalone tasks and scripts unfold throughout server environments. moreover this, Workload Scheduling and Automation software additionally eliminates the need of guide scripting and control cross-device dependencies to correlate changes with workflows as and when needed. This enables IT to accelerate the software start procedure leading to shortened time to market.
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Workload Scheduling and Automation software Market: Drivers & Challenges
functions builders these days are experiencing a quick paced and dynamic ambiance the place they're dealing with a host of distinct operating methods and company applications. Managing batch activity in in these heterogeneous environments requires manual scripting which is a time taking and error prone system. The need of automation to get rid of the guide scripting procedure is a massive driver for the Workload Scheduling and Automation application market. youngsters, many corporations won't have a solid interior workload manner and thus face challenges whereas offloading their methods to a software. This serves as a major challenge whereas adopting a Workload Scheduling and Automation software.
Workload Scheduling and Automation utility Market: Segmentation
Segmentation of Workload Scheduling and Automation utility Market, by way of utility type
Platform particular Schedulers:Platform particular schedulers akin to CRON (UNIX), Microsoft home windows assignment Scheduler (home windows) & JES2 (IBM zOS) are developed into the working system and only allow scheduling of their native ambiance. These workload scheduling and automation software typically require some kind of scripting on the developer conclusion and are confined in terms of functionalities and workload management
Standalone Scheduling utility:Standalone workload scheduling and automation application corresponding to manage-M by using BMC, IBM Workload Scheduler and AutoSys by way of CA applied sciences are purposely developed to manage applications and time table projects between programming environments and may control dependencies extra successfully than Platform particular schedulers.
Workload Scheduling and Automation utility Market: Regional Overview
North america is at the moment the greatest market for Workload Scheduling and Automation utility. EMEA is also anticipated to be a big market for Workload Scheduling and Automation software adopted via Asia Pacific.
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Workload Scheduling and Automation application Market: aggressive panorama
Workload Scheduling and Automation application Market: Key avid gamers
IBM company, CA INC, ASG applied sciences community INC, advanced methods ideas INC, Cisco methods INC, VMWare INC & Stonebranch INC are the leading avid gamers in Workload Scheduling and Automation software market.
Workload Scheduling and Automation utility Market: Key Contracts/ Agreements/ Acquisitions
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C2010-517 Certification Brain Dumps Source : IBM Workload Automation V9.2 Implementation
Test Code : C2010-517
Test Name : IBM Workload Automation V9.2 Implementation
Vendor Name : IBM
Q&A : 70 Real Test Questions/Answers
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Apple [69 Certification Exam(s) ]
Arizona-Education [1 Certification Exam(s) ]
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College-Board [2 Certification Exam(s) ]
CompTIA [33 Certification Exam(s) ]
ComputerAssociates [6 Certification Exam(s) ]
CPP-Institute [1 Certification Exam(s) ]
CWNP [12 Certification Exam(s) ]
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ECCouncil [18 Certification Exam(s) ]
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Ericsson [5 Certification Exam(s) ]
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ExamExpress [15 Certification Exam(s) ]
Exin [39 Certification Exam(s) ]
ExtremeNetworks [3 Certification Exam(s) ]
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Filemaker [9 Certification Exam(s) ]
Financial [35 Certification Exam(s) ]
Fortinet [10 Certification Exam(s) ]
Foundry [6 Certification Exam(s) ]
Fujitsu [2 Certification Exam(s) ]
GAQM [7 Certification Exam(s) ]
Genesys [4 Certification Exam(s) ]
Google [4 Certification Exam(s) ]
GuidanceSoftware [2 Certification Exam(s) ]
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HDI [9 Certification Exam(s) ]
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Hitachi [27 Certification Exam(s) ]
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HRCI [1 Certification Exam(s) ]
Huawei [20 Certification Exam(s) ]
Hyperion [10 Certification Exam(s) ]
IBM [1491 Certification Exam(s) ]
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ICDL [6 Certification Exam(s) ]
IEEE [1 Certification Exam(s) ]
IELTS [1 Certification Exam(s) ]
IFPUG [1 Certification Exam(s) ]
IIBA [2 Certification Exam(s) ]
IISFA [1 Certification Exam(s) ]
Informatica [2 Certification Exam(s) ]
Intel [2 Certification Exam(s) ]
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IRS [1 Certification Exam(s) ]
ISACA [4 Certification Exam(s) ]
ISC2 [6 Certification Exam(s) ]
ISEB [24 Certification Exam(s) ]
Isilon [4 Certification Exam(s) ]
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Juniper [54 Certification Exam(s) ]
Legato [5 Certification Exam(s) ]
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Lotus [66 Certification Exam(s) ]
LPI [21 Certification Exam(s) ]
LSI [3 Certification Exam(s) ]
Magento [3 Certification Exam(s) ]
Maintenance [2 Certification Exam(s) ]
McAfee [8 Certification Exam(s) ]
McData [3 Certification Exam(s) ]
Medical [25 Certification Exam(s) ]
Microsoft [228 Certification Exam(s) ]
Mile2 [2 Certification Exam(s) ]
Military [1 Certification Exam(s) ]
Motorola [7 Certification Exam(s) ]
mySQL [4 Certification Exam(s) ]
Network-General [12 Certification Exam(s) ]
NetworkAppliance [35 Certification Exam(s) ]
NI [1 Certification Exam(s) ]
Nokia [2 Certification Exam(s) ]
Nortel [130 Certification Exam(s) ]
Novell [37 Certification Exam(s) ]
OMG [9 Certification Exam(s) ]
Oracle [232 Certification Exam(s) ]
P&C [1 Certification Exam(s) ]
Palo-Alto [3 Certification Exam(s) ]
PARCC [1 Certification Exam(s) ]
PayPal [1 Certification Exam(s) ]
Pegasystems [10 Certification Exam(s) ]
PEOPLECERT [4 Certification Exam(s) ]
PMI [15 Certification Exam(s) ]
Polycom [2 Certification Exam(s) ]
PostgreSQL-CE [1 Certification Exam(s) ]
Prince2 [6 Certification Exam(s) ]
PRMIA [1 Certification Exam(s) ]
PTCB [2 Certification Exam(s) ]
QAI [1 Certification Exam(s) ]
QlikView [1 Certification Exam(s) ]
Quality-Assurance [7 Certification Exam(s) ]
RACC [1 Certification Exam(s) ]
Real-Estate [1 Certification Exam(s) ]
RedHat [8 Certification Exam(s) ]
RES [5 Certification Exam(s) ]
Riverbed [8 Certification Exam(s) ]
RSA [13 Certification Exam(s) ]
Sair [8 Certification Exam(s) ]
Salesforce [3 Certification Exam(s) ]
SANS [1 Certification Exam(s) ]
SAP [78 Certification Exam(s) ]
SASInstitute [15 Certification Exam(s) ]
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SCO [9 Certification Exam(s) ]
SCP [6 Certification Exam(s) ]
SDI [3 Certification Exam(s) ]
See-Beyond [1 Certification Exam(s) ]
Siemens [1 Certification Exam(s) ]
Snia [6 Certification Exam(s) ]
SOA [15 Certification Exam(s) ]
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SUN [63 Certification Exam(s) ]
SUSE [1 Certification Exam(s) ]
Sybase [17 Certification Exam(s) ]
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Teacher-Certification [3 Certification Exam(s) ]
The-Open-Group [8 Certification Exam(s) ]
TIA [3 Certification Exam(s) ]
Tibco [18 Certification Exam(s) ]
Trend [1 Certification Exam(s) ]
TruSecure [1 Certification Exam(s) ]
USMLE [1 Certification Exam(s) ]
VCE [5 Certification Exam(s) ]
Veeam [2 Certification Exam(s) ]
Veritas [25 Certification Exam(s) ]
Vmware [51 Certification Exam(s) ]
Wonderlic [1 Certification Exam(s) ]
XML-Master [3 Certification Exam(s) ]
Zend [5 Certification Exam(s) ]
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