Short Summary

Create agents that monitor many different data sources. Learn to mix, match, and manipulate monitored data to create custom data points to monitor. Add custom components

Details

Course Code: TV384G

Brand: Management & Platform

Category: Cloud

Skill Level: Intermediate

Duration: 24.00H

Modality: CR,ILO

Audience

This intermediate course is for agent developers, system administrators, and application administrators who need to create agents to gather custom data and integrate that data into either an IBM Tivoli Monitoring 6.x, IBM Monitoring 8.x on-premises, or IBM Monitoring 8.x software-as-a-service environment.

Prerequisites

Before taking this course, you should have the following skills:

• Basic understanding of Windows data sources, including WMI, Perfmon, Windows logs, Windows services, and Windows processes
• Basic understanding of multiplatform data sources, such as SNMP, JMX, processes, scripts, commands, and log files
• Administrator-level skills in either of the following monitoring environments:
  – IBM Monitoring 8.x on premises or IBM Monitoring 1.2.x software-as-a-service
  – IBM Tivoli Monitoring 6.x, including creating queries, situations, Navigators, and workspaces
• Experience installing, configuring, starting, and stopping agents and application support in either of the following monitoring environments:
  – IBM Monitoring 8.x on premises or IBM Monitoring 1.2.x software-as-a-service
  – IBM Tivoli Monitoring 6.3
• Administrator-level skills in Windows and Linux

Overview

This course teaches you how to use the IBM Agent Builder software to create, modify, debug, and package agents for use with IBM Performance Management and IBM Tivoli Monitoring products. You create agents that monitor many different data sources. You learn to mix, match, and manipulate monitored data to create custom data points to monitor. You also learn to add custom components specific to the different IBM monitoring environments. IBM Agent Builder can create custom agents for both the IBM Tivoli Monitoring 6.x and IBM Performance Management 8.x on-premises and SaaS environments. This course is applicable to students from either environment, and a single class might have students from each environment.

Topic

Introduction to IBM Agent Builder

• Introduction to Agent Builder
• Installing Agent Builder
• Introduction to the Agent Builder application

Agent creation basics

• Creating an agent in Agent Builder
• Monitoring Windows services
• Troubleshooting in Agent Builder

Creating agents for IBM Performance Management

• Creating agents for IBM Performance Management
• Filtering data sources
• Installing an agent with installation scripts
• Troubleshooting IBM Performance Management agents

Creating agents for IBM Tivoli Monitoring

• Installing an agent in an IBM Tivoli Monitoring environment
• Troubleshooting IBM Tivoli Monitoring agents
• Creating and importing ITM application support

Monitoring Windows resources

• Monitoring Windows Management Instrumentation (WMI)
• Monitoring Windows Performance Monitor
• Monitoring Windows log events
• Common agent modifications
• Testing an attribute group

Monitoring processes and command return codes

• Monitoring processes
• Monitoring command return codes

Monitoring custom data sources

• Monitoring script output
• Monitoring through a socket connection
• Defining attributes
• Creating derived attributes
• Generating agent output from the command line
• Monitoring log files
• Custom runtime configuration
• Java API

Monitoring remote and optional resources

• Data source-provided runtime configuration
• Subnodes
• Monitoring remote systems
• Monitoring Simple Network Management Protocol
• Monitoring HTTP URLs and objects
• Monitoring Java Management Extension
• Monitoring databases with JDBC

Objectives

After you complete this course, you should be able to perform the following tasks:

• Describe the IBM Agent Builder application and the kinds of agents you can create.
• Describe the basic process of creating a custom agent with Agent Builder.
• Troubleshoot an Agent Builder agent during the development process and after installation.
• Create agents for both the IBM Tivoli Monitoring and IPM Performance Management environments.
• Create and test agents that monitor the availability of resources, such as processes, Windows services, command return codes, and network devices.
• Create and test agents that monitor events from log systems, log files, and SNMP.
• Create and test agents that monitor data from server technologies.
• Create and test agents that monitor data from custom technologies, such as scripts, log files, Java applications, and socket connections.
• Create and test agents that include remote monitoring, custom attributes, derived attributes, Navigator groups, user-entered configuration information, and TEP components, such as queries, situations, and workspaces.
• Create and test agents that use subnodes to optionally monitor local or remote data sources.

Short Summary

Learn to designing an IBM Workload Scheduler network architecture, background processes in Workload Scheduler, workstation and network configuration options, workload production cycle and more.

Details

Course Code: TX318G

Brand: Management & Platform

Category: Cloud

Skill Level: Intermediate

Duration: 16.00H

Modality: CR,ILO

Audience

New IBM Workload Scheduler administrators who seek proficiency in Workload Scheduler 9.4. Existing administrators, installers, and support personnel who are converting software from previous versions to Workload Scheduler 9.4. Anyone needing detailed guidance on designing Workload Scheduler networks, managing background process, security, configuration, and backups.

Prerequisites

Before taking this course, make sure that you can use a web browser and the UNIX or Linux shell to run basic commands and browse the file system.

Overview

This course teaches the administrative functions necessary to plan, install, configure, maintain, and troubleshoot an IBM Workload Scheduler 9.4 network. This course includes an in-depth look at designing an IBM Workload Scheduler network architecture, background processes in Workload Scheduler, workstation and network configuration options, workload production cycle and processing, effective use of Workload Scheduler security, and techniques for Identifying and resolving common problems. Hands-on lab exercises include planning a network, defining workstations and domains, and installing and configuring Workload Scheduler components.

Topic

Introducing IBM Workload Scheduler 9.2 Administration

• Using dynamic batch computing
• IBM Workload Automation configurations
• Workload Scheduler architecture
• Workload Scheduler agents and workstations
• Using the Dynamic Workload Console
• Getting started with the command-line interfaces

Planning the Workload Scheduler implementation

• Planning the Workload Scheduler architecture
• Creating workstation and domain definitions
• Workload Scheduler networks
• Preparing a database
• Checking hardware and software prerequisites
• IBM Workload Automation users

Installing and configuring Workload Scheduler

• Preparing for the installation
• Choosing an installation method
• Configuring Workload Scheduler

Upgrading Workload Scheduler

• Planning and preparing the upgrade
• Performing an upgrade
• Performing ongoing maintenance

Managing the production cycle

• Production and preproduction plans

Running agent processes

• Workload Scheduler agent processes
• Using the console manager
• Configuring the job environment

Securing Workload Scheduler

• Providing specific access
• Configuring authentication
• Configuring Dynamic Workload Console roles
• Configuring user authorization

Finding and repairing problems

• Built-in troubleshooting features
• Checking workstation status
• Finding log files

Objectives

• Describe the workstations
• Describe the components and their interactions
• Plan a Workload Scheduler network for your organization
• Install and configure the components
• Upgrade a workstation to the latest version
• Customize how jobs run
• Manage how users are authenticated and authorized to use Workload Scheduler
• Demonstrate the daily planning functions
• Diagnose and troubleshoot problems with Workload Scheduler

Short Summary

Learn the features in IBM Workload Scheduler for distributed environments and how to use both the Dynamic Workload Console and command-line interfaces to manage Workload Scheduler.

Details

Course Code: TX319G

Brand: Management & Platform

Category: Cloud

Skill Level: Basic

Duration: 24.00H

Modality: CR,ILO

Audience

This course is designed for operators and schedulers who perform duties that are related to batch workload automation. This basic course is for the following audiences:

• New IBM Workload Scheduler users who are seeking proficiency in IBM Workload Schedulerversion 9.4 job scheduling and operations
• Existing operators, schedulers, supervisors, and managers who are converting from previousversions to version 9.4
• Anyone needing guidance in managing plans, monitoring workloads, or submitting jobs and jobstreams
• Anyone needing a refresher course and introduction to the Dynamic Workload Consolegraphical user interface

Prerequisites

Before taking this course, make sure that you can use an Internet browser such as Mozilla Firefox and perform basic shell commands in a terminal emulator such as PuTTY or xterm.

Overview

This course introduces IBM Workload Scheduler features, environment, and terminology. You learn about distributed environments and how to use both the Dynamic Workload Console and command-line interfaces with Workload Scheduler. You monitor production workflow and create a production day plan. Production workflow consists of job and job stream instances, designed with plan objects. You manage changes to objects, the plan, jobs, events, and job streams. You optimize production workflow and troubleshoot plan problems. You also learn to use Workload Scheduler with classic batch scheduling and dynamic and event-driven workloads.

Topic

IBM Workload Scheduler Introduction

• About Workload Automation
• IBM workload automation offerings
• IBM Workload Scheduler terminology
• Workload Scheduler user interfaces
• Getting started with Application Lab
• Getting started with the Dynamic Workload Console
• Connecting the console to Workload Scheduler
• Getting started with the command-line interfaces

Using the Application Lab interface

• Using the processes status overview page
• Managing processes
• Using other Application Lab functions

Monitoring Workload Scheduler production

• Monitoring Workload Scheduler production by using queries
• Using the Workload Dashboard
• Monitoring system status and health
• Monitoring plan objects
• Using the What-if Analysis interface
• Monitoring the plan graphically

Managing Workload Scheduler production

• Managing the scheduling environment
• Managing scheduling objects in the plan

Creating scheduling objects

• Using the Workload Designer
• Creating scheduling objects
• Creating variables and variable tables
• Creating prompts and resources
• Creating calendars
• Defining jobs

Scheduling, forecasting and migrating workloads

• Creating job streams
• Applying jobs to job streams
• Setting time and date restrictions
• Using advanced scheduling options
• Creating job stream definitions by using composer
• Creating and using event rules
• Forecasting and previewing future dates
• Exporting and importing scheduling definitions
• Using Workload Application Templates

Reporting with Workload Scheduler

• Using reporting features
• Using Common Reporting with Workload Scheduler
• Using the batch reporting utility
• Using the preformatted text-based report utilities

Objectives

In this course, you learn how to perform the following tasks:
• Explain the production terminology used with IBM Workload Scheduler and its production planning process
• Monitor production batch workload processes
• Manage production batch workload
• Create and modify scheduling objects
• Schedule new workloads
• Forecast future workloads
• Migrate workload definitions from test to production environments
• Create and maintain reports about production workloads

Short Summary

This intermediate-level course is for anyone involved in the implementation of IBM Tivoli Monitoring version 6.3.

Details

Course Code: TV355G

Brand: Management & Platform

Category: Cloud

Skill Level: Intermediate

Duration: 24.00H

Modality: CR

Audience

This intermediate-level course is for anyone involved in the implementation of IBM Tivoli Monitoring version 6.3.

Prerequisites

You should complete course IBM Tivoli Monitoring 6.2.3 Fundamentals (TM022) or have equivalent knowledge and experience.

Overview

With IBM Tivoli Monitoring, you can manage your systems graphically, dynamically, and flexibly. A browser-enabled interface helps transform systems management data into information you need to keep systems available. In this course, you learn how to implement IBM Tivoli Monitoring version 6.3. This training class is provided in a classroom environment with multiple opportunities for hands-on lab practice.

Topic

Planning an IBM Tivoli Monitoring implementation

• Overview and references
• Architecture and components
• Design process
• Deployment and availability
• Preparing for the installation
• Component interoperability and upgrades

Installing IBM Tivoli Monitoring infrastructure

• Preparing for installation
• The Startup Center
• Installing monitoring servers
• Installing portal server components
• Installing the portal client
• Post-installation tasks

Installing IBM Tivoli Monitoring agents

• Introduction to installing and configuring agents
• Prerequisite checker for operating system agents
• Remote installation
• Installing agents remotely from the command line
• Self-describing agents
• Silent installation
• Installing IBM Tivoli Monitoring for Databases DB2 Agent

Configuring and managing IBM Tivoli Monitoring Agents

• Agent configuration
• Using the portal client to manage agents
• Troubleshooting agent deployment
• Jazz for Service Management and Tivoli Monitoring Dashboards
• Jazz for Service Management Overview
• Installing Jazz for Service Management
• Installing the Tivoli Enterprise Monitoring Automation Server
• Installing the IBM Tivoli Monitoring Dashboard
• Verifying Jazz for Service Management
• Verifying Tivoli Monitoring Dashboard

Maintaining IBM Tivoli Monitoring

• Working with monitoring components
• Data backup and restore
• Maintenance
• Monitoring server and self-monitoring

Integrated event management

• Overview of integrated event management
• Netcool/OMNIbus integration
• Tivoli Enterprise Console integration
• Event forwarding on z/OS

Configuring availability in IBM Tivoli Monitoring

• Goals of resiliency and high availability
• Heartbeats
• Clustering
• Hot standby overview
• Monitoring agent and remote monitoring server failover
• Portal server in the failover scenario
• Troubleshooting options

Security for IBM Tivoli Monitoring

• User authentication
• Infrastructure component communication security
• Secure Socket Layer
• Firewall considerations with Tivoli Monitoring
• Granular authorization
• Single sign-on
• Additional security topics

Objectives

• Plan an IBM Tivoli Monitoring implementation
• Install Tivoli Monitoring server components and their prerequisites
• Install and configure Tivoli Enterprise Monitoring Agents
• Configure and maintain IBM Tivoli Monitoring
• Install and configure Jazz for Service and Management and Tivoli Monitoring Dashboards
• Install and configure event synchronization with Netcool/OMNIbus and IBM Tivoli Enterprise Console
• Configure and verify availability for IBM Tivoli Monitoring
• Describe how to implement Tivoli Monitoring user security, infrastructure component communication security, and communications through firewalls

Short Summary

This course provides an overview of WebSphere Hybrid Edition – a lean, economical solution that enables clients to optimize WebSphere applications for immediate gains and higher, near-term value.

Details

Course Code: VW014G

Brand: Management & Platform

Category: Cloud

Skill Level: Basic

Duration: 5.00H

Modality: WBT

Audience

This course is intended for all learners who need to use WebSphere Hybrid Edition to build solution architectures, migrate or modernize existing applications, or develop new cloud native applications.

Prerequisites

Before taking this course, you should have a basic understanding of cloud concepts, private, public, and hybrid clouds, and traditional on-premises environments.

Overview

This course provides an overview of WebSphere Hybrid Edition – a lean, economical solution that enables clients to optimize WebSphere applications for immediate gains while also positioning their business for higher, near-term future value. This course describes WebSphere Hybrid Edition features and benefits, and how you can use it to leverage current investments and create new cloud native applications.

This course covers the essentials that you need for your journey to cloud. It describes how to use WebSphere Hybrid Edition tools to analyze and evaluate candidate applications for modernization, and transform monolithic applications into microservices. It also describes how to migrate workloads between different versions of WebSphere.

For information about other related courses, visit the IBM Training website:

http://www.ibm.com/training

Topic

Introduction to WebSphere Hybrid Edition

The application modernization journey

Application modernization tools

Get started with Liberty

Objectives

After completing this course, you should be able to:

• Describe the capabilities and benefits of using WebSphere Hybrid Edition
• Describe the application modernization journey – its phases and requirements
• Explain how to use the tools that are included in WebSphere Hybrid Edition to migrate and modernize applications
• Analyze and evaluate application candidates for modernization
• Migrate workloads between different versions of WebSphere
• Identify tools and resources for developing cloud native applications with WebSphere Hybrid Edition

Short Summary

This course explores data preparation, data modeling, data visualization, and data cataloging.

Details

Course Code: W7067G

Brand: Cloud & Data Platform

Category: Cloud

Skill Level: Basic

Duration: 6.00H

Modality: WBT

Audience

Data scientists, data engineer, business analyst

Prerequisites

None

Overview

In this course, you will explore data preparation, data modeling, data visualization, and data cataloging using Watson Studio, Watson Knowledge Catalog, and Watson Machine Learning.

Topic

Data science and AI
• Describe the value of artificial intelligence
• Explain the AI ladder approach and AI lifecycle
• Identify the roles for working with data and AI

Watson Studio
• Summarize the benefits of Watson Studio
• Outline the integration of Watson Studio and Watson Machine Learning
• List and explain the tools available in Watson Studio
• Sign up for a free IBM Watson account

Watson Machine Learning
• Describe machine learning methods and how they fit with AI
• Create a Watson Studio project for learning models

Watson Knowledge Catalog
• Explain the features of Watson Knowledge Catalog
• Identify the role of data policies to govern data assets
• List and describe the data files used in this course
• Create a catalog, add assets to a catalog, and add catalog assets to a project

Data refinement
• List the steps to successful data mining
• Describe the typical customer churn business problem
• Identify the steps in the data refinement process
• Shape a data set using the Data Refinery according to specific observations

Data modeling
• Differentiate the Watson Studio tools to create models
• Create a Watson Machine Learning model using AutoAI
• Create a Machine Learning model using SPSS Modeler
• Build a model using SparkML Modeler Flow

Data science with notebooks
• Experiment with Jupyter notebooks
• Load from a file and run a Jupyter notebook with Watson Studio

Model deployment
• Identify the model repository
• List model deployment and test options
• Deploy a model
• Test a deployed model
Objectives

• Data science and AI
• Watson Studio
• Watson Machine Learning
• Watson Knowledge Catalog
• Data refinement
• Data modeling
• Data science with notebooks
• Model deployment

Short Summary

You will learn how Watson Discovery on the IBM Cloud lets business analysts and developers rapidly build cognitive applications that unlock actionable insights.

Details

Course Code: W7068G

Brand: Cloud & Data Platform

Category: Cloud

Skill Level: Intermediate

Duration: 6.50H

Modality: WBT

Audience

Analysts, Developers, and others who need to monitor machine learning jobs

Prerequisites

• Basic knowledge of cloud platforms, for example IBM Cloud
• Basic understanding of enterprise search and natural language

Overview

In this 6 hour web-based training (WBT), you will learn how Watson Discovery lets business analysts and developers rapidly build cognitive, cloud-based exploration applications that unlock actionable insights hidden in unstructured data — including your own proprietary data, as well as public and third-party data.

Topic

Discovery overview: Architecture of Watson Discovery
• Describe Discovery architecture in a cloud environment
• Describe content creation within Discovery
• Describe Discovery data collection runtime flows
• Describe Discovery user runtime flows

Discovery overview: Administering security in Watson Discovery
• List types of security used in Watson Discovery on Cloud
• Describe how Discovery service credentials are used
• Describe a common use case for securing private data within Discovery

Discovery overview: Creating a collection
• Instantiate Watson Discovery
• Connect to a Discovery instance
• Create a collection

Configuring a Discovery collection
• Configure enrichments for a paticular business case
• Use tooling and APIs to configure a Discovery collection
• Use Smart Document Understanding to identify fields from documents

Ingesting data into a Discovery collection
• Describe use cases for using APIs, tooling and data sources to ingest data
• Describe the steps for ingesting documents into Discovery
• Perform ingestion operations such as add, update and delete documents
• Describe ingestion limitations

Querying a Discovery collection
• Explain simple, combined and aggregate queries
• Explain search and structure parameters, operators and aggregation types for querying a collection
• Use the Discovery query language for constructing queries

Querying a Discovery collection: Relevancy training
• Explain the purpose of relevancy training
• Detail the process of using relevancy training for improving results

Querying a Discovery collection: Passage retrieval
• Explain the purpose of passage retrieval
• Describe passage retrieval settings and usage
• Use passage retrieval to return pointed results
 

Objectives

• Discovery overview: Architecture of Watson Discovery
• Discovery overview: Administering security in Watson Discovery
• Discovery overview: Creating a collection
• Configuring a Discovery collection
• Ingesting data into a Discovery collection
• Querying a Discovery collection
• Querying a Discovery collection: Relevancy training
• Querying a Discovery collection: Passage retrieval

Short Summary

This web-based training offering provides business analysts with an introduction to the basics of IBM Watson Knowledge Catalog.

Details

Course Code: W7071G

Brand: Cloud & Data Platform

Category: Cloud

Skill Level: Basic

Duration: 4.00H

Modality: WBT

Audience

Business Analysts

Prerequisites

• Knowledge of your business requirements

Overview

This training offering provides business analysts with an introduction to the basics of IBM Watson Knowledge Catalog. They will learn how to access the Watson Knowledge Catalog and gain skills in creating catalogs, populating them with assets, and then managing the assets in the catalog.

Topic

Introduction to IBM Watson Knowledge Catalog
• What is IBM Watson Knowledge Catalog?
• How IBM Watson Knowledge Catalog addresses the challenge of data and AI
• What is a catalog?
• What is a project?

Work with assets
• What is an asset?
• Work with assets in a catalog
• Add files, connections, and connected assets in projects and catalogs
• Add an asset from a catalog to a project
• Publish assets from a project into a catalog
• Discover data assets from a connection in a catalog or project

Refine data
• Describe using Data Refinery to refine data
• Add data to Data Refinery and specify the format
• Validate your data
• Visualize your data
• Manage Data Refinery flows
• Copy data from a source to a target

Assessment quiz

Objectives

• Introduction to IBM Watson Knowledge Catalog
• Work with assets
• Refine data
• Assessment quiz

Short Summary

This course teaches you the skills that are needed to manage Liberty servers and collectives.

Details

Course Code: WA190G

Brand: Management & Platform

Category: Cloud

Skill Level: Basic

Duration: 16.00H

Modality: CR,ILO

Audience

This course is designed for administrators of IBM WebSphere Application Server Liberty Profile.

Prerequisites

Before taking this course, you should have a general knowledge of:

• Java Platform, Enterprise Edition (Java EE)
• Administering web servers and application servers
• The Ubuntu Linux operating system

Overview

This course teaches you the skills that are needed to manage Liberty servers and collectives.

The course is designed for application server administrators. You learn how to use the graphical Admin Center and the command line scripting to manage servers from a collective controller. The course also covers how to deploy a cluster of packaged servers for Liberty runtimes, view the deployment environment, and view basic performance metrics.

You learn how to use the Dynamic Routing feature of Liberty to enable routing of HTTP requests to collective members. You also configure the auto-scaling and health management features for Liberty.

Finally, you learn how to secure Liberty and enable SSL communication in Liberty.

For information about other related courses, see the IBM Training website:

http:www.ibm.com/training

Topic

Course introduction
Introduction to Liberty administration and runtime architecture
Multi-server management
Exercise: Managing Liberty collectives with the Admin Center
Administration and application deployment with scripting
Exercise: WebSphere Liberty administration by using Jython Scripts
Dynamic Routing
Exercise: Dynamic Routing
Auto-scaling in Liberty
Exercise: Auto-scaling
Securing Liberty
Exercise: Using the IBM HTTP Server with SSL to a Liberty server
Course summary

Objectives

After completing this course, you should be able to:

• Describe the WebSphere Liberty Profile architecture
• Create a Liberty profile server
• Use the Admin Center to manage Liberty servers
• Deploy clusters of Liberty servers
• Use the collective controller
• Use Jython scripts to administer Liberty servers
• Configure Dynamic Routing
• Configure the auto scaling feature and define auto scaling policies
• Configure SSL communication in Liberty
• Use the IBM HTTP and web server plug-in with Liberty servers