Unlocking the Secrets: Part 1

Table of Contents

1. Introduction
2. Understanding the Analysis Tab
3. Importance of Job Stream Runs
4. Key Features of the Analysis Tab
   • 4.1 Data Points Available
   • 4.2 Visual Aids and Drill Down Features
   • 4.3 Optimization Opportunities
   • 4.4 Critical Path Analysis
   • 4.5 Design Flaws and Inefficiencies
5. Exploring the Analysis Tab
   • 5.1 Atomic Workflow and Critical Path Jobs
   • 5.2 Average End Time and SLA Compliance
   • 5.3 Accessing Past Executions
   • 5.4 Adjusting Display Scale
6. Understanding Tab Icons
   • 6.1 Importance of Job Search Tools
   • 6.2 Expanding and Collapsing Compound Objects
   • 6.3 Numeric Data and Job Details
   • 6.4 Conditions Required for Job Start
   • 6.5 Navigating the Critical Path
7. Analyzing Job Relationships
   • 7.1 Connecting Relationships between Objects
   • 7.2 Cross-Instance Dependencies
   • 7.3 Displaying Physical Links to Predecessors and Successors
   • 7.4 Showing Average Runtime Performance
   • 7.5 Handling Withheld and Unlinked Runs
8. Viewing and Customizing Settings
   • 8.1 Managing View Settings
   • 8.2 Setting Options for Critical Path Lines
   • 8.3 Controlling Average Durations Display
9. Reference Guide
   • 9.1 Comprehensive List of Icons, Symbols, Lines, and Colors

Understanding the Analysis Tab in AAI Services

The analysis tab in AAI services is a crucial component that enables AI users to access various functions and insights related to their job streams. In this article, we will Delve into the analysis tab's features and discuss how it helps improve job design, optimize operations, and enhance overall workload management.

Introduction

At the heart of AAI services is the job stream, which serves as the organizing object for AI users. The analysis tab within AAI services focuses on providing comprehensive services to enhance insights and understanding of individual job streams. By analyzing successive executions of job stream runs, AI users can uncover valuable data points, such as job structure, run times, averages, performance, and SLA compliance. These data points can be visualized using a range of tools and features available within the analysis tab.

Understanding the Analysis Tab

The analysis tab primarily focuses on individual job streams and their respective runs. Whenever a batch process runs in the scheduler, a corresponding run is generated in AAI. This allows for a breakdown of the job stream into its fundamental parts, providing actionable data about runtimes, averages, late time completions, and dependencies. By analyzing this information, AAI can identify design flaws and inefficiencies, enabling job owners to streamline their processes, optimize batch windows, and reduce overall workload.

Importance of Job Stream Runs

The analysis tools within the tab allow users to analyze each run Based on a comprehensive list of capabilities. These capabilities include critical path analysis, identification of Skipped components, external and cross-instance dependencies, comparison of actual versus average run times, and SLA adherence. By utilizing these features, AI users gain a complete map of critical jobs, which can support decision-making processes, improve operations, and drive business growth.

Key Features of the Analysis Tab

4.1 Data Points Available

The analysis tab provides access to numerous data points related to job stream runs. These include job structure, runtimes, averages, late completions, and inventories of dependencies, conditions, and resources. By examining these data points, AI users gain valuable insights into the performance and efficiency of their job streams.

4.2 Visual Aids and Drill Down Features

The analysis tab offers various visual aids and drill down features to enhance job design and scheduling solutions. These visual aids include charts, graphs, and diagrams that provide an intuitive representation of job stream performance. Additionally, drill down features enable users to dive deeper into specific aspects of job runs, allowing for a more detailed analysis.

4.3 Optimization Opportunities

Beyond monitoring and supervision, the analysis tab presents opportunities to optimize IT operations. By analyzing critical paths and identifying deficiencies, AI users can streamline processes, improve batch windows, and optimize workloads. This optimization directly impacts the overall efficiency and effectiveness of the business.

4.4 Critical Path Analysis

One of the key functions of the analysis tab is critical path analysis. It helps identify the critical path within a job stream, highlighting jobs that are crucial for the overall process's success. By condensing the critical path, AI users can focus on improving the performance and reliability of essential jobs.

4.5 Design Flaws and Inefficiencies

The analysis tab in AAI services uncovers design flaws and inefficiencies within job streams. By comparing job runs, identifying skipped components, and analyzing average runtimes, AI users can pinpoint areas that require improvement. This information assists in streamlining processes, eliminating inefficiencies, and optimizing overall workload management.

Exploring the Analysis Tab

5.1 Atomic Workflow and Critical Path Jobs

In the analysis tab, individual jobs within a job stream are displayed as part of an atomic workflow. Critical path jobs, denoted by red icons, are crucial for the overall success of the process. By identifying critical path jobs, AI users can focus their analysis on optimizing these key components.

5.2 Average End Time and SLA Compliance

The analysis tab provides a visual representation of average end time and SLA compliance for job stream runs. Blue lines represent the average end time, while red lines represent the SLA defined for the job stream. This allows users to quickly determine if a run exceeds the average end time or violates the SLA.

5.3 Accessing Past Executions

The analysis tab displays past job stream executions, providing a historical Record for analysis and improvement. Users can select specific dates and runs to compare and analyze different executions, facilitating a deeper understanding of performance trends and Patterns.

5.4 Adjusting Display Scale

Users have the ability to adjust the display scale within the analysis tab. This allows for a customized view of the job stream runs, focusing on specific time frames or granularity levels. Such flexibility enhances the user's ability to analyze data effectively.

Understanding Tab Icons

6.1 Importance of Job Search Tools

The analysis tab provides job search tools that help users locate specific jobs within the job stream. While not necessary for simple processes, these tools become crucial for complex processes with multiple levels and sub-processes. The ability to search for specific jobs simplifies navigation and analysis.

6.2 Expanding and Collapsing Compound Objects

The analysis tab enables users to expand or collapse compound objects within the job stream. This feature is particularly useful for processes with multiple levels of embedding, allowing users to focus on specific workflows or boxes and simplify their view accordingly.

6.3 Numeric Data and Job Details

By selecting a particular job or process, users can access Relevant numeric data and job details. This information includes properties of the source object, job Type, host system, estimated run time, and scheduler-specific properties. These details provide a comprehensive understanding of the job's characteristics and requirements.

6.4 Conditions Required for Job Start

The conditions tab within the analysis tab displays all the conditions necessary for a job to start within the scheduler. This includes conditions related to the completion of other jobs, specific date and time requirements, and other related conditions. Understanding these conditions helps users analyze dependencies and optimize job scheduling.

6.5 Navigating the Critical Path

The analysis tab allows users to navigate through the critical path using arrows. This feature enables users to focus solely on critical path jobs and their relationships. By ignoring non-critical path jobs, users can streamline their analysis and prioritize optimization efforts.

Analyzing Job Relationships

7.1 Connecting Relationships between Objects

The analysis tab displays connecting relationships between objects within the job stream. This feature helps users understand the interdependencies between jobs and identify potential bottlenecks or areas for improvement.

7.2 Cross-Instance Dependencies

In situations where a job has dependencies on jobs in another instance or scheduler type, the analysis tab showcases cross-instance dependencies. For example, a job in Autosys may be dependent on a mainframe job in CA7. The tab displays these dependencies to ensure comprehensive analysis and optimization.

7.3 Displaying Physical Links to Predecessors and Successors

Users can view physical links to predecessors and successors within the analysis tab. This provides a visual representation of job relationships, allowing for a better understanding of job dependencies and associated performance.

7.4 Showing Average Runtime Performance

The analysis tab displays the average runtime performance of each job run, offering a comparative perspective. This feature helps users identify deviations from average performance and investigate potential reasons for variations.

7.5 Handling Withheld and Unlinked Runs

In certain situations, jobs may be withheld on the scheduler for various reasons. The analysis tab acknowledges withheld runs, ensuring users have a comprehensive record of job executions. Additionally, unlinked runs, which are part of the same job stream but lack physical links, can also be accessed and explored within the tab.

Viewing and Customizing Settings

8.1 Managing View Settings

Users can customize the view settings within the analysis tab, tailoring the display to their specific needs. This includes options for critical path lines, cross-instance dependencies, predecessors, successors, and custom dependencies. These settings enable users to focus on the most relevant aspects of job stream analysis.

8.2 Setting Options for Critical Path Lines

Within the lines tab, users can further refine critical path analysis by setting specific options. For example, users can set limits on the number of levels for embedded dependencies and choose to include or exclude non-running predecessors and successors. These options enhance the precision and relevance of critical path analysis.

8.3 Controlling Average Durations Display

The analysis tab provides options for displaying average job durations. Users can choose to focus on critical path jobs or view all jobs. Additionally, users can selectively Show jobs with longer or shorter runtimes, enabling a more targeted analysis of performance.

Reference Guide

For a comprehensive understanding of all icons, symbols, lines, and colors within the analysis tab, users can refer to the reference icon. This comprehensive guide allows for easy identification and interpretation of visual elements within the interface.

Highlights

• The analysis tab in AAI services is dedicated to providing insights and improving job design.
• Key features include data points, visual aids, optimization opportunities, critical path analysis, and identifying design flaws and inefficiencies.
• Users can explore job relationships, navigate the critical path, and customize settings for a personalized analysis.
• The analysis tab assists with monitoring, supervision, and historical analysis to enhance operations and business performance.

FAQs

Q: Can the analysis tab show real-time job executions? A: No, the analysis tab only displays past job executions for analysis and improvement purposes.

Q: How can the analysis tab help optimize job streams? A: The analysis tab offers insights into critical paths, dependencies, and average runtimes, allowing users to streamline processes, optimize batch windows, and reduce workload.

Q: Can I search for specific jobs within the job stream using the analysis tab? A: Yes, the analysis tab provides job search tools to help users locate specific jobs within the job stream, especially in complex processes.

Q: Can I customize the display settings in the analysis tab? A: Yes, users have the flexibility to customize the display scale, set options for critical path lines, and control the display of average durations.

Q: How does the analysis tab help identify inefficiencies in job design? A: By comparing job runs, analyzing skipped components, and examining average runtimes, the analysis tab highlights design flaws and inefficiencies, enabling users to optimize job streams and improve overall operations.