View this webinar on-demand where we discuss common misconceptions and how important a mature capacity management process is – especially when it comes to DevOps and agile environments underpinned by elastic infrastructure, whether hybrid and/or public Cloud. During this webinar you will learn more about: • How the DevOps process provides the agility and speed of deployments for new IT services • How and why the cloud fits into this model • How to counter the perceptions that cloud capacity is infinite • How AI and machine learning perceive to offer control over capacity and performance on-demand

1. Capacity Management for
the Digital and Agile World
Jamie Baker, Senior Product Manager

2. • What is the Cloud?
• The 4 myths of Capacity Management
• Devops, agile and Capacity Management
• The impact of auto scaling
• Is Capacity Management needed?
• Challenges of Cloud Migration
• Guidelines of Cloud Planning
• Cloud cost planning
• Cloud metrics
• Summary
Agenda
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3. • The “As a Service” model
• Cloud Types
• Internal
• External
• Hybrid
• Utility Computing and OpEX charging
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What is the “Cloud”?

4. 4
4 Myths of Capacity Management
1. “We don’t need it for the cloud”
• On-demand, infinite resources
2. “Clouds are elastic”
• Dynamic, automatic, prevention
3. “Costs are always lower when using the cloud”
• Fixed assets, Depreciation, Datacenter, Operations…
4. “Architecture and planning become less important”
• All you can eat perceptions
• Fire and forget approach
• Unless dedicated, multi-tenant model performance guarantees

5. Benefits
• Process underpinned by pliable IT infrastructure
• Digital service relationships
• Continuous change
• Quick to market
• Avoid slow and onerous processes
Open discussion
• Where does Capacity Management fit into an elastic environment?
• How does it need to change and adapt?
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DevOps, Agile and Capacity Management

6. Benefits
• Public Cloud features
• Scales up / down number of instances
• Set high watermarks for per instance scaling
Open discussion
• How to do know what to set, i.e. Watermarks?
• Have you over or under provisioned?
• How can you plan for increases?
• How do you model?
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The Impact of Auto Scaling

7. Is Capacity Management still needed?
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8. Challenges
• Hybrid and Public adoption increasing
• Elasticity suits some but not all applications and services
• Critical applications (or loved ones) still kept on-premise
Questions
• What factors help you decide what is a suitable candidate for
cloud?
• How can you conclude that moving to cloud is the best option?
• What region do you choose? (i.e. GDPR, Patriot Act)
• How should you factor in future growth?
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Challenges of Cloud Migration

9. 10
Guidelines for Cloud Capacity Planning
Planning and control
• Pre cloud
• Post cloud
SLA and E2E Performance
• Varies between cloud
providers
• Financial credits (Google)
• SLA exclusions

10. Cloud Cost Control – Charging
Pricing Parameters for an Instance Type:
• Zone
• Storage options
• Tenancy: dedicated, shared
• Operating Systems, software preinstalled and license type
Cloud Pricing – the Nuances
• Pricing vs. Discounts
• Cloud services location
Metrics
• CPU, I/O, Transactional
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11. Cloud Metrics
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12. Summary
• Cloud provides instant access to pliable IT infrastructure
• Elasticity and auto-scaling underpins DevOps and Agile development
processes
• Capacity Management needs to adapt to provide assurance without being
a bottleneck to deployment and adoption
• Public cloud performance cannot always be guaranteed
• Capacity Management is still as important as ever
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13. Q & A
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