Redefining Automation Horizons: Orchestrating Multi-Cloud Landscapes

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Redefining Automation
Horizons: Orchestrating
Multi-Cloud Landscapes
Dan Twing
President and COO
Enterprise Management Associates (EMA)
Alexandra Thurel
Associate VP Product Management
HCLSoftware
Eugene Wiehahn
Partner Solutions Architect
Amazon Web Services (AWS)

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© 2023 Enterprise Management Associates, Inc.

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© 2024 Enterprise Management Associates, Inc. 3
Featured Speakers
Dan Twing
President and COO
EMA
Alexandra Thurel
Associate VP
Product Management
HCLSoftware
Eugene Wiehahn
Partner Solutions Architect
Amazon Web Services (AWS)
Dan joined EMA in 2005 and has over 25 years of
experience in information systems, software
development, and technology outsourcing. He focuses
on all aspects of intelligent and automated
management of IT.
Alexandra joined HCL in 2016, after 20 years in IBM,
working in services, software development, support and
product management. In her role as Associate Vice
President, she is responsible for product strategy and
offering management for automation, DevOps, and
mainframe software.
Having spent over 8 years across multiple teams at AWS,
Eugene’s primary focus has been supporting AWS
customers and partners. He is recognized as a public
speaker and writer, having written a number of public
blogs and presented sessions at various AWS
conferences including AWS re:Invent.

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Automation VS Orchestration
Automation
• Use of technology to replace manual tasks with automated processes,
enhancing efficiency and reducing human intervention.
• Focuses on streamlining routine and repetitive tasks.
• Individual tasks, repetitive, rule-based.
Orchestration
• Coordination of complex, end-to-end workflows involving multiple tasks,
systems, and stakeholders.
• Achieve specific business objectives by seamlessly connecting and optimizing
processes with decision-making capabilities.
• Intricate workflows spanning components, complex processes, decision logic,
real-time coordination.
As automation becomes more complex, the need to orchestrate
across the various tasks and systems becomes more critical.

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Workload Automation and Workflow Orchestration
Workload Automation
• Emphasizes the scheduling, execution, and monitoring of routine, repetitive tasks and
processes, primarily within a specific domain (e.g., data center operations).
• Simpler, well-defined tasks that don't require intricate coordination or decision-making.
• Examples: Batch job scheduling, data backups, and routine system maintenance.
Workflow Orchestration
• Manages complex, end-to-end workflows that span multiple systems,
applications, and departments, aiming to achieve specific business objectives.
• Handles intricate processes with dependencies, decision-making logic, and
adaptability to changing conditions.
• Examples: IT service provisioning, incident response, auto-remediation, and
complex business process automation.
The key distinction lies in the scope, complexity, and purpose of
each concept.

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Orchestration Brings Observability and
SLA Policy Awareness
As workload automation expands across the enterprise and is used for more
data and orchestration processes, the number of jobs continues to increase:
Job failures and missed SLAs are also increasing as the use cases for workload
automation and orchestration expand.
With good design, analytics, and SLA awareness, WLA tools can manage the
increased complexity.
The earlier new applications and digital processes
are orchestrated by WLA, the sooner they can
benefit from analytics and SLA awareness

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Workload Automation and Orchestration Reach
Across the Enterprise
WLA is a key part of consistently delivering critical
enterprise processes
75% Service
71% Sales
67% Supply Chain
67% Finance
66% Manufacturing
66% Human Resources
Business Functions using WLA
Self-service daily / multiple
times per week:
83% Finance
80% Supply Chain
77% Service
75% Sales
75% Human Resources
73% Manufacturing
WLA is Extremely/Very
Important to workloads for:
92% IT Operations
85% App Development
83% Service
81% Finance
81% Supply Chain
78% Sales
Sponsoring new automation
and orchestration initiatives:

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Digital Transformation is Closely Intertwined with the
Enterprise Automation Trend
➢ Digital transformation involves leveraging digital technologies to fundamentally
change and improve:
o Business operations
o Customer experiences
o Even business models
➢ Cloud computing serves as a foundational element for many digital
transformation initiatives, providing:
o Infrastructure
o Resources
o Services
➢ Mainframe Modernization is often addressed as part of digital transformation
to update and transform legacy mainframe systems by:
o Rehosting
o Refactoring
o Replatforming
o Rearchitecting
➢ Automation helps enterprises adapt, innovate, and thrive in an increasingly
digital and competitive landscape
EMA Research shows 97% of enterprises are actively
working on digital transformation

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Workload Automation and Orchestration Supports the
Digital Transformation Journey
Sample Size = 297
15%
27%
27%
28%
33%
39%
45%
50%
51%
0% 10% 20% 30% 40% 50% 60%
WLA orchestration allows new applications and digital transformation
with less developer time
WLA is key for end-to-end orchestration of one or more digital
transformation capabilities
WLA is used in the traditional role of time and event trigger scheduling
WLA automates release management
WLA connects and orchestrates disparate digital transformation
capabilities
WLA file transfer capabilities are highly leveraged
WLA is used for on-premises infrastructure configuration
WLA is used for cloud infrastructure configuration
WLA supports DevOps processes, increasing development speed

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WLA and Cloud: A Complex Relationship
➢ WLA Supports Cloud Infrastructure
➢ WLA Supports Cloud-based Applications
➢ WLA Supports Legacy Workloads in the Cloud
➢ WLA Hosted in the Cloud
➢ SaaS WLA

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Cloud Infrastructure:
Enterprises use a variety of cloud services
Sample Size = 406
0% 10% 20% 30% 40% 50% 60% 70% 80%
Cloud Storage (AWS S3, Azure Blob Storage, Dropbox, etc.)
Office Productivity (MS Office 365, Google Sheets/Docs, etc.)
CRM/Support (Salesforce, ServiceNOW, BMC Remedy, etc.)
Cloud ERP (enterprise resource planning software over the internet)
Compute (AWS Lambda, Azure Logic Apps, etc.)
Communications (Slack, Telegram, Teams, etc.)
Data (Hadoop, Apache Spark, Databricks, Splunk, etc.)
None of the above
Which of the following cloud services does your organization currently have
implemented?
2023 2020
Not asked in 2020

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Cloud Infrastructure:
Organizations rely heavily on WLA to support cloud services
Sample Size = 406
59%
50%
48%
46% 46% 45%
41%
33%
41%
43% 42% 43% 43%
46%
0%
10%
20%
30%
40%
50%
60%
70%
Cloud Storage (AWS
S3, Azure Blob
Storage, Dropbox,
etc.)
Data (Hadoop,
Apache Spark,
Databricks, Splunk,
etc.)
Cloud ERP
(enterprise
resource planning
software over the
internet)
CRM/Support
(Salesforce,
ServiceNOW, BMC
Remedy, etc.)
Compute (AWS
Lambda, Azure
Logic Apps, etc.)
Office Productivity
(MS Office 365,
Google
Sheets/Docs, etc.)
Communications
(Slack, Telegram,
Teams, etc.)
Which of the cloud services implemented by your organization does WLA support?
Extensive Support Moderate Support Minimal Support Not Supported

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Cloud Infrastructure/Cloud-based Applications:
WLA is involved in many new use cases to support cloud infrastructure
Sample Size = 406
68%
72%
73%
73%
73%
75%
78%
62% 64% 66% 68% 70% 72% 74% 76% 78% 80%
Containers/Microservices
Multi-Cloud Data Transfer
Multi-Cloud Orchestration
Orchestration and observability
Simplify Cloud Migrations
Hybrid Cloud Data Transfer
Cloud Infrastructure Automation
How important are each of the following WLA cloud use cases to
your cloud operations?
Extremely/Very Important

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Production Workloads in the Cloud
Sample Size = 406
0% 10% 20% 30% 40% 50% 60% 70%
Other (Please specify)
OPEX savings
CAPEX savings
Resource elasticity
Provisioning speed
Resilience/reliability
Dynamic scalability
What are the main business reasons for using private and
public cloud resources to run scheduled jobs?
2023 2020
0% 10% 20% 30% 40% 50% 60% 70%
Other (Please specify)
Low-priority jobs
Ad hoc cloud bursting
Ad hoc creation of dev/test environments
Permanent production jobs
Additional capacity for peak times
How is your organization using private or public cloud
resources to run workload automation jobs/processes?
2023 2020
Scalability, reliability, and provisioning speed are
the top reasons to run production jobs in the cloud

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Moving Data and Managing Data Pipelines
is a Key Part of Orchestration
WLA has always played a key role in moving enterprise data to where it
needs to be and when it needs to be there.
Workload Automation and Orchestration provides:
o Centralized control and end-to-end visibility of the process
o Use APIs or agents to control the various tools used within each stage
o Observability of the logs and data for governance and security
o DataOps lifecycle management from Dev to Test to Production
o Integration with IT operations infrastructure tools
✓ communication and collaboration tools like Slack or Teams
✓ sophisticated proactive alerting
✓ Service Desk integration with automated ticketing
o Analytics to quickly identify root cause of issues
o SLA policy awareness
Using WLA orchestration will speed development and
make the process more manageable and successful

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GenAI and Workload Automation
AI in WLA will:
▪ Enhance the UX
▪ Improve the intelligence of dynamic resource allocation
▪ Identify anomalies or abnormalities in workload behavior
▪ Recommend and/or take corrective actions
Status of AI in WLA:
▪ Broad use in predictive analytics
▪ Minimal support of AI-based functions
▪ Full function APIs makes it easy to front-end WLA

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AI/Knowledge-based Administration Functions in WLA Products
6.7%
20.0%
20.0%
20.0%
40.0%
40.0%
40.0%
46.7%
73.3%
0.0% 10.0%20.0%30.0%40.0%50.0%60.0%70.0%80.0%
Other
Chat bot integration for access to
deocumentation and best practices
Chat bot interaction for system interrogation
Chat bot interaction for troubleshooting
Log parsing
Out-of-the-box runbooks
Recommendation for runbooks for specific
issues and resolution
AI-powered anomaly detection/alerts
Anomaly detection
AI/Knowledge-based Administration Functions
26.7%
0.0%
26.7%
6.7% 6.7% 6.7%
13.3% 13.3%
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
0 1 2 3 4 5 6 7
Number of Administration Functions
Supported

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AI-based Features in WLA Products
6.7%
13.3%
20.0%
20.0%
0.0% 5.0% 10.0% 15.0% 20.0% 25.0%
AI-based chat bot to assist business
users
AI-based chatbot to assist operators
AI-based predictive scheduling
AI-based anomaly detection
AI-based Features
73.3%
13.3%
0.0%
6.7% 6.7%
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
0 1 2 3 4
Number of AI-based Features Supported

Copyright © 2024 HCL Software Limited | Confidential
Redefining Automation Horizons
with HCL Automation Orchestration
Alexandra Thurel

.
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AI/ML embedded capabilities provides intelligence to our
orchestration engines.
In the long run GenAI will increase the automation potential of
a broader scope of tasks, and combined with our orchestration
platform, we will drive autonomous processes for higher
productivity growth.
HCLSOFTWARE THOUGH LEADERSHIP ON AI
APPLIED TO AUTOMATION ORCHESTRATION
GenAI could enable automation of up to 70%
of business activities, across almost all
occupations, between now and 2030, adding
trillions of dollars in value to the global economy.
Economic potential of generative AI | McKinsey a
Gen AI to drive
automation at scale
AI/NLP to streamline
access to automation
AI MATURITY EVOLUTION In HCL Automation Orchestration
Predictive & elastic scheduling to ensure
SLAs and proactively address issues
WE ARE HERE

.
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First-of-a-Kind’ capabilities for Intelligent Orchestration and Operations
Natural Language is the new UI
Assess Risks & Perform Proactive Analysis
AI & ML patterns to capture workload anomalies
BEFORE they are happening and PREVENT them
AI Data Advisor
Clara enable Support and Self Service Automation
for greater employee autonomy
AI APPLIED TO EMPOWER PEOPLE
Next → Streamline the creation of end-to-end workflows
using Gen AI through and NLI assistant embedded UI
Automation Orchestration

.
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Clara at MFS
➢ Release a critical service
➢ Hold a job
➢ Change the priority of a job
➢ …
➢ Rerun a job
➢ Get service in error in the
➢ Get critical jobs in the plan
➢ …
➢ Request sales report
➢ Monitor a service
➢ Queries for service status
➢ …
Clara at MFS,
Massachusetts Financial Services
25 automation experts
200 business users
1.4M+ automation tasks
BUSINESS USER
Job owners
accessing Self-
service capabilities
WHO IS USING THE VIRTUAL ASSISTANT
OPERATIONS
Offshore members
monitoring &
troubleshooting
PRODUCTION CONTROL
Automation CoE Staff
managing the workload

.
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AUTOMATION OF MODERN DATA PIPELINE
THE STORY
An insurance company provides a new app for claiming
reimbursement, in which the client take a picture of his
receipt and submit it for reimbursement ..
.. behind the scene the workflow needs streamlined
automation to guarantee reliable execution that spans cloud
services and internal systems of records.
HOW CAN I OVERCOME
THE BUSINESS CHALLENGES ?
CHALLENGES for the TECHNOLOGY OFFICER
Acquire unstructured data
Validate and guarantee data quality
Include human in the loop
Improve time to market

.
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Download doc
from Cloud •
•
•
•
•
•
•
•
•
OCR
recognition
AI analysis
Send to human
approval
AUTOMATION OF MODERN DATA PIPELINE
savings on
manual effort
- 60%
Improvement on
TimeToMarket
80%

.
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CLOUD TRANFORMATION
CASE STUDY
CAN I HAVE A SINGLE
PLATFORM FOR ALL
AUTOMATION NEEDS ?
CHALLENGES
Mainframe decommissioning / Hybrid
 ~200k jobs migrated. No business disruption
 One tool for all automations, replacing Robo
FTP and Stonebranch FTP with our integrated
Managed File Transfer
 New automation scenarios enabled by
leveraging serverless and cloud services
integrations
 Reduced operation cost by 15% thanks to
AIDA
Context: Strategic Mainframe decommissioning and
new cloud native applications
Solution: migrating workloads from Broadcom CA7
to HCL Automation Orchestration on the cloud
Application refactoring
Cloud capable platform

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ONE SINGLE ENTERPRISE LAYER FOR 100% OF YOUR AUTOMATIONS ONPREM & CLOUD
Differentiation with AWS + HWA
ON-PREMISES
bridge BUSINESS FLOWS
between ON-PREMISES
ENVIRONMENTS & CLOUD
CLOUD
ORCHESTRATE Cloud workload
INTERACT with Cloud APIs
INTEGRATE Cloud event
CLOUD

© 2024, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Automate everything.
Sr. Partner Solutions Architect
Amazon Web Services
Eugene Wiehahn

Agenda
• Why automation matters – what the data says
• Automation is accessible
• The Culture of Automation
• AWS and HCL Software Partnership

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Everything fails, all the time.
Werner Vogels
CTO, Amazon.com

High Performing Teams focus on Automation
3x
lower change
failure rate
Less than 1 hour
to recover from
outages
63% of SMBs say automation allowed their company to quickly pivot as a result of the pandemic*
*Source: Zapier state of business automation report
Source: DORA Accelerate State of DevOps report
Less than 1 hour
to go from code to
production

We are still not sufficiently automated
94% of US knowledge workers surveyed spend some portion of
the day performing repetitive, time-consuming work
Today, 80% of developer time is spent in operations
and maintenance*
Source: Zapier state of business automation report
*Source: Deloitte

Automation is more accessible now
• Cloud computing increases
opportunity for automation
• APIs enable automation
• Repeatable, automated software
delivery is possible for all
organizations

Culture around three things
High degree
of automation
High visibility
Everything as code

Reaction Time with Automation
• Reaction times and high levels of
automation are critical
• Lower change failure rates
• Faster time to restore services
• Integrate with the right APIs
• Event-driven
• Native integration
• Lower complexity

Can Automation Improve Work-Life Balance?
90% said automation solutions
increase productivity
80% of employees said Automation
gave them more time to:
deepen relationships with customers
take on challenging new projects
learn new skills
Source: Harvard Business Review survey

AWS and HCL Software

AWS and HCL Software working together
• AWS and HCL Strategic Partnership
• Mutual Customer Success
• AWS reviewed software
• AWS-native services like EKS

The Total Economic Impact of using AWS
Marketplace

HCL Workload Automation on AWS Marketplace

.
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AI Data Advisor (AIDA)
AI-driven anomaly detection
CLARA
Intelligent Virtual Assistant
OBSERVABILITY
Splunk, Dynatrace, Datatog, Grafana, Instana,
…
INTELLIGENT OPERATIONS
ORCHESTRATION ENGINES
Single point of control for IT and business automation
UNIVERSAL
ORCHESTRATOR
Cloud-Native
WORKLOAD
AUTOMATION
On premises
or Cloud or
Mainframe
• Automate anything, Run
Anywhere
• 99,9% SLAs compliance
• 1 Million+ jobs executed per
day on a single orchestration
engine
• Limitless orchestration
capabilities
• Future-ready cloud-native
architecture
• Deployment on Kubernetes
• Active-active & self scaling
100+ integrations
AUTOMATION HUB
HCL Automation Orchestration suite Automation Orchestration

.
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Free Development Kit
45% improved business agility
100+ Low code/No code integrations
ROBOTIC PROCESS
AUTOMATION
• UiPath
• Automation Anywhere
• Blue Prism
• IBM RPA
• myBiros
CLOUD SERVICES
• AWS - AWS Batch, AWS SNS, AWS SQS, AWS
Lambda, AWS Step Functions
• Azure - Azure Data Factory, Azure Databricks
• Google - Google BigQuery, Google Data Flow, Google
Cloud Functions, Google Cloud Pub/Sub
• Kubernetes batch jobs
• OpenAI
ETL & BIG DATA
INTEGRATION
• Snowflake
• Informatica PowerCenter
• Datastage
• BigInsights
• Cognos
CLOUD & DATA CENTER AUTOMATION
• AWS (Amazon S3, Amazon S3 Batch Operations, AWS Cloud
Formation, Amazon EC2, AWS Actions, AWS Events)
• Azure (Azure Blob and Data Lake Storage, Azure Resource
Manager, Microsoft Azure)
• Google (Google Cloud Storage, Google Deployment Manager)
FILE TRANSFER &
RELATIONAL DATABASES
• Axway SecureTransport & CFT
• Sterling Connect:Direct
• FTP, SFTP, MFT
• Oracle, MSSQL, Postgres, DB2
SERVICE ORIENTED
ARCHITECTURE
• Message Queues
• Web services
• Java, J2EE, Restful, MQTT
• Websphere MQ
ERP INTEGRATION
• SAP
• Oracle e-business suite
• PeopleSoft
• Alteryx, Tableau
• Salesforce
IT SERVICE
MANAGEMENT
• Jira
• ServiceNow
• Chef Runlist
• Chef Bootstrap
• RedHat Ansible
• sendEmail
The Automation Hub accelerates the digital transformation

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42
HCL Automation Orchestration
New solutions and services augmenting business scenarios and enhancing the traditional workload automation offering
Cloud Transformation
From Mainframe to Hybrid and
Multi-cloud orchestration
Process
Orchestration
Data Pipeline
Modernize MFT & streamline data
transfer across the workflow
Business Applications
Cloud-native services integrations to
expand the outreach of automation
and improve Business Resilience
SOLUTIONS
Traditional Workload
Automation
Event-driven & Batch scheduling
BOOST
Applied AI
Predictive SLA, anomaly detection
Democratization
Self-Service catalog & Virtual assistant

Copyright © 2024 HCL Software Limited | Confidential
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HCL Automation Orchestration
hcl-software.com/automation-orchestration
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Redefining Automation Horizons: Orchestrating Multi-Cloud Landscapes