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[Cisco Connect 2018 - Vietnam] Joseph yap journey to the multi cloud
- 1. CISCO CONNECT 2018 . IT’S ALL YOU
- 2. CISCO CONNECT 2018 . IT’S ALL YOU Journey to the MultiCloud: Strategic and Operational Considerations Joseph Yap ASEAN Data Center GTM Cisco System
- 3. CISCO CONNECT 2018 . IT’S ALL YOUCISCO CONNECT 2018 . IT’S ALL YOU Let us Start with Operation Consideration
- 4. CISCO CONNECT 2018 . IT’S ALL YOU What are some of your OPERATION CONCERNS after Application Deployment?
- 5. CISCO CONNECT 2018 . IT’S ALL YOU Assure Workload Performance DC Capacity Planning Manage Cloud Cost
- 6. CISCO CONNECT 2018 . IT’S ALL YOU How do you assure workload performance today? We hear $$$ We overprovision Use ~20% - Expensive Monitor Reports & Alerts Ends up ignoring 90% alerts Suffer from Slow Apps Perf Too complex to assure AppsSLOW !
- 7. CISCO CONNECT 2018 . IT’S ALL YOU To AssureWorkload Performance we need to know … # HOSTS metrics Too many metrics to track! # DATASTORES metrics #VMs metrics # # # × × × # of HOSTS # of DATASTORES # ofVMs # # # #,### #,### #,### = = = + + ###,###
- 8. CISCO CONNECT 2018 . IT’S ALL YOU What if? … your workloads always get the exact amount of resources, in exactly the right order, at exactly the right time … APP OS
- 9. CISCO CONNECT 2018 . IT’S ALL YOU The Result will be … Applications will perform as intended Resources will be utilized optimally $ €¥ Cloud Cost will drop dramatically
- 10. CISCO CONNECT 2018 . IT’S ALL YOU CWOM (aka CiscoWorkload Optimization Manager) Drive your environment towards the Desired State Performance Compliance Cost The Desired State
- 11. CISCO CONNECT 2018 . IT’S ALL YOU CWOM driving the Desired State by Initial Workload Placement Increase Resource Decrease Resources Self Managing Move Workload Retire Resources
- 12. CISCO CONNECT 2018 . IT’S ALL YOU Data Center Capacity Modeling Analysis based on your actual operating data • Can I add 20 more VMs to this cluster? • How much more hosts do I need? What size? • Can I safely bring these hosts into maintenance mode for patching?
- 13. CISCO CONNECT 2018 . IT’S ALL YOU Cloud Migration Planning Continuous Cloud Cost Optimization • What is the monthly cloud bill for this clusters? • What is the right cloud instance for this workload? • Spot or Reserve instance? • 1 week later? 1month later? 1 year later?
- 14. CISCO CONNECT 2018 . IT’S ALL YOU CWOM: Lets play Tetris!
- 15. CISCO CONNECT 2018 . IT’S ALL YOU IMAGINE what you can do with CWOM? You
- 16. CISCO CONNECT 2018 . IT’S ALL YOUCISCO CONNECT 2018 . IT’S ALL YOU Now to the Strategic Consideration
- 17. CISCO CONNECT 2018 . IT’S ALL YOU Terms used in the presentation Data Center Virtual and Non-Virtual Co-Lo or Self-Own Private Cloud Virtual, Service Catalog Infra Automation Public Cloud Public Cloud Public Cloud Hybrid Cloud Multi-Cloud
- 18. CISCO CONNECT 2018 . IT’S ALL YOU Top Reasons to Use Multiple Cloud Avoid Lock-in Price Performance Regulation and Data Sovereignty Cloud Services
- 19. CISCO CONNECT 2018 . IT’S ALL YOU Internet of Things Data centers HQ BranchHosting / Colocation DevicesPrivate cloud Public Clouds When we think Cloud Neutral AGILITY COST PERFORMANCE RISK How to Deploy & Manage Apps in MultiCloud Place Business Requirement First Network Connects Everything
- 20. CISCO CONNECT 2018 . IT’S ALL YOU Cisco CloudCenter brokering MultiCloud Data Center Public Cloud Private Cloud One Integrated Platform “Day 2” Actions New and Existing Applications Deploy Manage Model
- 21. CISCO CONNECT 2018 . IT’S ALL YOU Cisco CloudCenter Supports NA EU APJ SA NA EU APJ SA NA EU APJ SA vCloud Director vSphere/vCenter Azure Stack Azure Pack OpenStack Cisco UCS Director
- 22. CISCO CONNECT 2018 . IT’S ALL YOUCISCO CONNECT 2018 . IT’S ALL YOU Partner to deliver a new hybrid cloud solution, enabling apps to span on-premises and Google Cloud platform environments. Cisco and Google Announced October 2017
- 23. CISCO CONNECT 2018 . IT’S ALL YOUCISCO CONNECT 2018 . IT’S ALL YOU 23 Cisco Container Platform Hybrid Cloud Optimized E.g: Google, … Flexible Deployment Model VM | Bare metal HX, ACI | Public cloud Integrated Networking | Management | Security | Analytics Native Kubernetes (100% Upstream) Direct updates and best practices from open source community Turnkey Solution For Production-GradeContainer Environments Easy to acquire, deploy & manage | Open & consistent | Extensible platform |World-class advisory & support
- 24. CISCO CONNECT 2018 . IT’S ALL YOU Cisco Advanced Services help your Cloud Journey Transformation Strategy Current State & Fit4Cloud Analysis Supplier Benchmark Business Case Skill Blueprints Application Dependency Analysis Cloud Architecture Roadmap Cloud Security Blueprint Operating Model Blueprint Pilot Initiative Implementation Plan
- 25. CISCO CONNECT 2018 . IT’S ALL YOU • Focus on running your business Applications. The Cisco Intent-based DC will Learn, Adapt and Protect your business Applications. • Acquire Cisco 30+ years of networking expertise with Cisco Network Assurance Engine that continuously analyze across your entire DC network to prevent 5000+ DC network failure scenarios. • Use Cisco HyperFlex as the new foundation for your Multi-Cloud DC. You are the Real Hero for the business. • Secure your DC with Cisco Tetration Platform which recommends Application Segmentation Policies thru learning every apps and network that goes thru your DC. • Let machines help you manage machines with Cisco Workload Optimization Manager. • Accelerate Cloud Projects with Cisco Cloud Center. With Cisco Data Center (DC)Technology …
- 26. CISCO CONNECT 2018 . IT’S ALL YOU Q & A
Notas do Editor
- You monitor a certain number of utilization metrics for different resources (CPU, Memory, Storage, IO, etc.) related to each data center entity (host, data stores, VMs, etc.). You use these metrics to make resource allocation decisions. Let’s walk through a simplified representation of your environment (we know you have more than hosts, data stores, and VMs in your environment). (Get the customer to provide/estimate the numbers) Example: 4 metrics monitored for 10 hosts + 3 metrics monitored for 10 data stores + 3 metrics monitored for 100 VMs = 370 data points to monitor. This is way too complex, so you do what IT has always done – over-provision to minimize the risks to performance. In fact, determining the right combination of allocated resources such that performance is assured, while maximizing efficiency across all entities is an n-dimensional problem—there are simply too many combinations of resource states to consider. Moreover, given the shared environment every change potentially impacts other entities in the environment. How do you account for these relationships? Hint: Applying economic principles to the data center stack allows real-time resource decisions to be made that take into consideration the relationships between entities and the impact that changes to one workload have on every other workload.
- Workload Optimization Manager does not provision or manage anything. It is a real-time analytics and decision engine that has been designed to continuously scale resources up or down in response to changes in workload demand before degradation occurs. Note to presenter: this is a key message. Today’s performance monitoring tools only alert operations after performance has degraded. Workload Optimization Manager is designed to achieve and maintain equilibrium between application demand and infrastructure supply to ensure maximum performance. The solution assures workload performance and efficiency by instantly delivering or decommissioning the right amount of infrastructure, at the right time, in the right place.
- Built into Workload Optimization are templates that allow customers to modeling for hardware refreshes or migration workloads to another location within the data center. To complete this modeling capability, Workload Optimization will first take a snapshot of the current environment, then determine the affect of migrating or refreshing hardware. In this particular example above, the objective of this report was to determine the affect of a new business initiative on the environment. The report shows that the environment needs to increase active hosts from 20 to 24. Increase active storage devices from 5 to 8. It also shows the utilization of their environment across a defined set of parameters today (left) compared to utilization when hosts and storage devices are increased. Note: also available are hardware refresh templates that allow you to determine what is needed when the customer wants to migrate from an older UCS model to M4 or M5. Built into Workload Optimization are templates that defined all UCS models making it easy to complete these reports.
- Presenter Note: This modeling uses the same process of taking a snapshot of the current environment and then applying the movement of service entities into the public cloud. Migration/What if Modeling: Customers can understand the cost of migrating public workloads into the public cloud. (AWS, Azure are supported today, Google by the end of calendar 2017). Why is this important? On premise the infrastructure is a sunk cost. Workload Optimization is ensuring that resources are “right sized” without overprovisioning, and are located in the right place to ensure cost efficient optimization of resources ensuring maximum performance and cost efficiency. It also eliminates orphaned resources sitting idle. The moment that workloads are moved into the public cloud, costs translate from capital to operating expense. History shows that on premise workloads are typically over provisioned to accommodate workload peak demand. When workloads are moved to the cloud, history also shows that people choose the next largest instance type to have the same allocation. In essence, they have 2-4X over allocated infrastructure. The result is a larger cloud bill than you expected. Built into Workload Optimization is a template that allows customers to estimate the cost of their cloud bill and assures that workloads placed into the cloud are right sized to the best fit template and lowest cost region. NOTE: This is not a one and done decision. Just as workloads on premise need to be continuously monitored, so do workloads in the cloud. This capabilities delivers significant value as customers do not want different tools for their on premise and public cloud workloads. Workload Optimization manages the complexity of optimizing on premise and public cloud through a single user interface.
- What’s needed is an approach that puts the interests and requirements of your organization and your hybrid cloud first, before those of any single public cloud provider or cloud technology. In other words, a cloud neutral approach. An approach that recognizes the fact that the network connects everything, no matter the location type, device type, or even cloud type; and is able to make that fact work to their advantage. An approach that delivers an application strategy that places your business requirements (like security, speed, performance, and cost, for example) first in determining how to manage their applications, instead of the application type, where it lives, or whose connection it may be traveling on.
- CloudCenter is unique in the industry CloudCenter abstracts the cloud. Assumes clouds are and will continue to all be different (APIs) Application-centric approach. You Model application profile once – then can deploy and manage anywhere. One profile – combines application and infrastructure automation directives And eliminates environment-specific automation that locks workloads into a single environment Supports composite topologies – including OS images, containers, application and cloud services, and leverages investments Chef, Puppet, Salt Graphical modeler – makes it easy to create a deployable Application Profile that is portable to any environment No environment specific scripting, programming, or modifying the application code Broad application support including Popular types – n-tier, batch, cluster, parallel, distributed services etc. Popular technologies – java, .net, node js etc. New and existing Commercial and custom Simple and complex Legacy and cloud native Broad cloud support– pre-integrated support for 19+ datacenter, private and public clouds That each have different infrastructure APIs Meets the needs of most demanding service providers and enterprise IT organizations
- a partnership that will allow you to extend your existing investments with innovative cloud services to build new digital customer experiences.