Using Workload Automation to Optimize Hybrid Cloud Estates
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2 BRKPAR-4121 Using Workload Automation to Optimize Hybrid Cloud Estates Ben Nye
3 Using Workload Automation to Optimize Hybrid Cloud Estates Ben Nye CEO
4 Key Drivers Digital Transformation Proliferation of Applications and Workloads Multiple Cloud Platforms Private and Public ESX, KVM, Containers, IaaS, PaaS, CaaS, FaaS Complexity, Compliance, Performance, Cost
5 Workloads Driving the Hybrid Cloud M WORKLOADS M WORKLOADS 63% CAGR Public Cloud Workloads Workloads (M) Sources: (1) IDC (2) Gartner (3) Morgan Stanley CIO Survey (4) Cisco Cloud Index 4 3% CAGR On Premises Workloads
6 Which Workloads Should Run Where and When? Private Workloads (fixed costs): Legacy apps not worth re-factoring Monolothic apps Apps with near constant demand Big data apps Performance sensitive apps Compliance and security sensitive apps Public Workloads (variable costs): Dev/Ops Apps with volatile demand profiles Apps requiring re-allocating resources Micro-services Leveraging Cloud Services (S3, ML, Redis, Serverless)
7 Managing a Hybrid Cloud is Challenging Expensive Skills Gap Complex Choices 80% see cloud bills 3X more than expected 14% of organizations have right skills / staff #1 challenge with transformation is complexity AWS 90 services 1.7M options 19 days
8 Workload Automation Simplifies Hybrid Cloud Management 1 Assessing 2 Planning & Implementing 3 Managing & Optimizing The foundation is visibility and understanding of your entire estate Plan, migrate and place/size the right workloads in the right place at the right time Continuously tune to deliver the desired state, balancing cost performance and compliance
9 Every Workload has Three Basic Needs Lower Cost Assure Performance Assure Performance ANY WORKLOAD ANY WHERE Maintain Compliance Maintain Compliance Maintain Desired State Lower Cost Let SMART Workloads Manage themselves! ANY CLOUD ANY TIME
10 Workload Automation Enables Simultaneously Delivery of Compliance, Performance, and Cost Non-Compliance Maintain Compliance Volatile Performance Assure Performance Higher Cost Lower Costs
11 Workload Automation Requires Comprehensive Tradeoffs Maintain Health
12 Workload Automation Key to Transformation PAAS FAAS EDGE IAAS SDDC
13 The Path to the Self-Driving DC Monitoring and Actioning coming together Beyond data ingest to include context intent feedback loop and AI data model Control workload across edge core cloud AS, Ent./Campus/ Wireless/IoT/Security untapped Importance of cloud native
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15 Nearly 2000 World-Class Companies Trust Turbonomic with 4+ MM SMART Workloads Technology Financial Services Healthcare Insurance Telecom/SP Service Providers Retail Utilities/ Manufacturing System Integrators
16 Customer s Journey to the Hybrid Cloud Made Easy MICRO-SERVICES SLA/COST Demand-Driven SCALING Vertical and horizontal APPS PLACEMENT Initial and subsequent PLANNING Decide what, where and when IAAS VISIBILITY Workloads, Infrastructure, Cloud, Performance, Costs, Compliance COMPUTE STORAGE NETWORK CLUSTERS DATA CENTER HYBRID CLOUD
17 Your Platform Future Ready
18 Booth P1 By Entrance Demonstration
19 The Bottom Line + = Cisconomic! Partnership Technology Vast & Disrupted Market
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21 Continue Your Education Demos in the Cisco campus Walk-in Self-Paced Labs Tech Circle Meet the Engineer 1:1 meetings Related sessions BRKPAR Cisco and/or its affiliates. All rights reserved. Cisco Public 21
22 Thank you
23
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