Antonio piraino v1

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  • Not quite as cleanly as you’d hoped it would be..If your constituents have to think about this for longer than a second, you’ve lost your attractionMeans More workload complexityMeans more challenges in meeting SLAsMeans more Cost without proactive management
  • Only achievable through reduced support needs and automated tools.
  • So we will stay aheadof the curve by staying up with the latest API’s and disparate technologies that are missing the common control plane.Tech vendors have moved to UCS and VMware lead the way, and even storage with high availability component, and the elasticity that cloud is driving – vendors had to move to a smarter and more converged technologies, and along with that a smarter way of managing these systems. So management has to be able to transverse the nuanced differences between the multivariate vendors. The UI’s and API’s keep changing from these vendors. Dell is a classic example – moving away from host-based agent delivery manage to look at fans, CPU< power supply, cooling and etc. HP did the same thing in their server base mindset. Fast forward to 2012 with dynamic compute environments with systems being spun up and down – there is overhead to every time you add an agent and within Linux there are too many flavors. So Dell gone toward out of band mngt and ID drive system so you can find out temperature even when the box is down – did that by packet over Ethernet. So moved to an off-box independent monitoring element that works for the dynamic datacenter. This means that the WMS-API, we have partnered with Dell. It is the monitoring aspects that highlight the new features of the hardware – without which you ask the means to make decisions and run the business more effectively. Erik to send my iDRAC deck.Out of band monitoring = a physical card. They built a separate control board that sits in the server and its power source is power over Ethernet so if network is up, they can communicate to the device and device can figure out whether the box has power, its state, its configuration including RAID and storage and etc. it’s the converged model – vendors are moving to these new dynamic architectures that require much more detail that just polling an agent.Also – ScienceLogic is seeing more and more of a need to be agentless in nature – there are use-cases in the cloud where agents become potentially more helpful. Ultimately we want o support both – but we see being agentless in order to scale. This is also the story tat we can drive with PowerShell – not the model to put agent into the server (which is Nimsoft’s model) – we want one to many CMDLT. We want to be less dependent on the agent and traverse different security boundaries using the model. Look at Windows slide 13 – windows gateway system that does the traversal into the active directory domain.POLL: Ask before slide 4What do you believe are the most important assets that make you attractive to customers/ What differentiates you from your competition? What makes you attractive to your customers? - PriceValue Added Services SupportSystems Architecture Taking you into the next growth oppty that revolves around SmartIT services (a higher plane of services than the traditional infrastructure-centric services). Evolution example: people used to buy colo and you put your server and OS into it. Then came hosting – where SP would do the bare metal. Then came virtualization, and MSP would do mngt and patching – but user would do day to day care and feeding of the application without owning/worrying about the OS/server. Now where we are going as a SP – in order to compete, you need to think beyond just a hosted exchange offering, and more of as a Mail as a Service offering. Even the UCS will begin to look and feel like running youe standalone server and become commoditized. Need to take out more human element. Even the apps like exchange server that moves – you are going to face the exact same problems of patching, monitoring and etc. but added to this is going to be the addition of orchestration and automation. Beyond spinning up infrastructure – focus should be on customer services. 2 things coming: 1) tail-end is orchestration – automation and orchestrate new customer services (add, move, delete). More self-service of commoditized services, limiting human intervention of provisioning customer services and change mngt – driven through service origination form. E.g. is how gmail allows you to create the acct. Drivers will be price, ease of usage,
  • Multi-tenancy (Core Competency)Broad range of Data Collection (Core Competency)Root analytics against performance data (Core Competency)High Availability/Resiliency (Core Competency)Support & ServicesPre-integrated Service desk, Asset, DashboardsAutomated Discovery/Correlation/TroubleshootingAsset ManagementEase of Deployment
  • Antonio piraino v1

    1. 1. Faster, Bigger, Smarter:Intelligent Automation ofCloud Operations Antonio Piraino, CTO ©2012 ScienceLogic Inc. All rights reserved ©2012 ScienceLogic, All Rights Reserved.
    2. 2. What do these labels have in common? 2©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    3. 3. Dec 11th News 3©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    4. 4. Dec 11th News  Google Chrome & Gmail outage yesterday  18-minute impacted 40% of gmail users and other apps. In the future, Google plans to upgrade its load-balancing software to one data center before rolling it out worldwide, “but that’s a bit of a tricky process.”  Apple iOS6 Maps, Facetime, App Store down  Dec 5 and 6 Apple app store goes down. Nov 18 iMessage and Facetime down (2nd time in a week)  Australian Police officers had aid drivers stranded without food or water in life-threatening heat after obeying Apple’s Maps.  Perennial AWS Outage – VA Datacenter in Oct  Microsoft Azure Outage (Nov 24)  Lasted 9 hours! Two weeks after it’s Office 365 email outage in 5 days. Due to maintenance, "network element" and load issues.  How about the enterprise?  Heiser (analyst) say only half of companies surveyed by Gartner had a process to evaluate their business continuity processes. 4©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    5. 5. Enterprise Drivers of Cloud Greater Financial Greater IT More Pressure More Regulation Containment Complexity on IT Staffing levels  HIPAA  Hybrid  Latest  SOX  P2V Technologies Hosted Apps  Improved Less Capex  FISMA  vMotion Performance Shrink Opex  Basel II  HA and high  Retain Security  PCI DSS performance and Uptime IT Unit costing, Apps Chargeback  SAS 70  Fundamental to  Consumer, OSS, business IT spend ratios  Internal Bus Productivity operations Projections Governance Apps©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    6. 6. Are you more Cost efficient with Cloud?1,165 respondents involved in their company’s buying decisions participated in this survey: Source: ChangeWave Research - a service of 451 Research 6©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    7. 7. Yet….37% report they plan to increase their public cloud spending over the next 6 months Source: ChangeWave Research - a service of 451 Research 7©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    8. 8. So why are they doing this?  More efficient and effective apps, tools & Staff; accelerate offerings, improved experience, etc.  Cloud Computing vs. Traditional IT Operations  Faster: Speed of Replacement Compute vs. MTTR  Bigger: Volume of Data for Trending, Targets, Alerts  Smarter: Speed of processing, analyzing, acting upon info. requires new levels of Automation & DevOps 8©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    9. 9. Cloud Deployment: Evolving Challenge Traditional Era Compute Cost & Resource Power Consolidation Server Sprawl (power andROI/Efficiency/functionality Operations inefficiencies) Investment in Virtual Servers & associated tools Virtualization (storage/compute/network/firewall) Physical Servers Investments Datacenter Point of Traditional tool irrelevance Investments ©2012 ScienceLogic Inc. All rights reserved Usage/Cost/Complexity © 2012 ScienceLogic Inc. All Rights Reserved
    10. 10. So you launch a cloud service…  How is your operations team doing?  How is the integration? How long has it been?  Who’s working on it? Why is this so complicated? 10©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    11. 11. We’re in the Midst of the Dynamic Era Traditional Era Dynamic Era Compute Cost & Resource Convergence CET Spending 2010 vs. 2015 Power Consolidation & Security Server Sprawl (power and VM & Cloud Sprawl ServerROI/Efficiency/functionality Virtualization Operations inefficiencies) (Control Challenges) 2015 Investment in Automation & 2010 Automation, Orchestration Management & Management tools 0% 20% 40% 60% Investment in Virtual Servers & associated tools Virtualization (storage/compute/network/firewall) Physical Servers Point of Diminishing returns Investments from Virtualization Datacenter Point of Traditional tool irrelevance Investments ©2012 ScienceLogic Inc. All rights reserved Usage/Cost/Complexity 11 © 2012 ScienceLogic Inc. All Rights Reserved
    12. 12. People-Intensive vs Service-Centric Services Company Revenue Per Employee Exxon $3,235,638 Amazon $1,266,667 Google $1,180,832 Toyota $764,216 Microsoft $702,022 SoftLayer $647,059 Nike $563,663 Intel $523,133 AT&T $463,656 American Express $416,295 Dreamworks $335,052 Anheuser-Busch $315,172 New York Times $314,416 Oracle $283,048 IBM $238,541 Rackspace $232,512 Whole Foods $203,256 Walmart $198,410©2012 ScienceLogic Inc. All rights reserved 12© 2012 ScienceLogic Inc. All Rights Reserved
    13. 13. The IT management evolution marches on Traditional IT management systems are threatened… MSP / “Cloud” Mainframe Client / Server 13©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    14. 14. Where to next? Traditional Era Dynamic Era Intuitive Era Everything-as-a-Service Compute Cost & Resource Convergence “The Internet Power Consolidation & Security of Things” Server Sprawl (power and VM & Cloud Sprawl Data SprawlROI/Efficiency/functionality App Operations inefficiencies) (Control Challenges) Sprawl Investment in Big Point of true IT Automation, Orchestration Data, Hadoop, Analytics, Storag consumerization & Management tools e management Investments Investment in b2b: Point of infrastructure CRM, HR, Financial, Mobil de-relevance e, Customized apps & Investment in Virtual Solutions oriented Tools Servers & associated tools Virtualization (storage/compute/network/firewall) Physical Servers Point of Diminishing returns Investments from Virtualization Datacenter Point of Traditional tool irrelevance Investments Usage/Cost/Complexity ©2012 ScienceLogic Inc. All rights reserved © 2012 ScienceLogic Inc. All Rights Reserved
    15. 15. Convergence in the IT Industry Image Courtesy: www.en.Wikipedia.org Drivers: Cost, Time and Labor efficiency 15©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    16. 16. Smart IT Requires a New Way of Thinking©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    17. 17. What makes us different? Smart IT “SmartIT”- simplifying and reducing the complexities and costs of IT operations across disparate devices and infrastructures, regardless of the vendor or technology, allowing IT operators to model, visualize, and improve IT service delivery leveraging automation, operational BI, and intelligent resource allocation.” 17©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    18. 18. One Product, One Vision - SmartIT OUTPUT USER INPUT PROFILES Cloud Service Mgt Event Mgt Mobile Applications Assets Dashboards Service Events Presentation OS Desk Data Model Collection Analytics SMART SMART SMART Virtualization Performance Ticketing End Compute Configuration Users Run Book Network Reporting CxOs Templates Storage Workflows SKU Catalog Admins Physical Customer SMEs MULTI-TENANT MANAGEMENT Portal DATABASE RESTful API 18©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    19. 19. ScienceLogic and Intel • Policy Management for Trust Provide platform trust status Verification, Remediation for trusted • Reporting, and Compliance. pools, Compliance, etc • TrustBroker for secure access to https Trusted Services from Trusted Clients R • Addresses High SecurityClientDevices Trusted SSL E Intel Mt. Wilson Workload environments Linux/KVM S Trusted Advanced Reporting, and Xen T Trusted Compliance. ESXi Trusted • Premium charges and revenues Orchestrator/Scheduler ESXi VMware available against existing (CloudStack, OpenStack,vCloud vCenter Director) ESXi Trusted infrastructure investments. https Intel Confidential 19 ©2012 ScienceLogic Inc. All rights reserved © 2012 ScienceLogic Inc. All Rights Reserved
    20. 20. ScienceLogic and vCloud Director Challenges EM7 Answers  No real-time monitoring of vm and vApps  Automated provisioning of Orgs, vms/vApps as they get spun up and down so as they are created and changed. frequently.  Automated SLA monitoring and alignment  Intelligent SLA monitoring based on to vm/vApps based on deployment location automated polices based on resources and and resources as they get created alignment of those resources.  No easy method for tracking monitoring and SLA monitoring and management of  Automated actions based on alerts to vms/vApps as they move from one SLA change polices, vm state, location, installing group to another. of tools, etc driven by intelligent cause  No real-time proactive automation tasks analysis. based on intelligent alerts and monitors.  Multiple System to manage your day to day  One portal to manage, monitor and increase management of vm’s/vApps. operational efficiency for your vApps.©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    21. 21. VCE Vblock Management©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    22. 22. What we do with EMC | NetApp and why:  DCM for EMC platforms  Easy LUN, Volumes, Aggregates identifiers  Config/Performance metrics per LUN, Volume and Aggregate©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    23. 23. Network Topology©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    24. 24. What enterprises need from their Vendors Enterprise You Provisioning Orchestration Monitoring Billing Security1. Trusted Partner Focus on Security & Compliancy ? ? ? ? ?2. Transparency & Control Easy Access & Control ? ? ? ? ?3. Meeting KPIs Know their Business ? ? ? ? ?4. Better Tools Tools that are monetizeable ? ? ? ? ?5. Strong ROI Compelling time to Value ? ? ? ? ?6. Granular/meaningful SLAs Service-oriented SLAs ? ? ? ? ?7. Orchestrating Workflows Holistic & Intuitive Portal ? ? ? ? ?8. Personalization Customizable configurations ? ? ? ? ?9. Scalability & Flexibility Extensible API ? ? ? ? ?10. Solutions Oriented Move away from IaaS selling ? ? ? ? ? ©2012 ScienceLogic Inc. All rights reserved © 2012 ScienceLogic Inc. All Rights Reserved
    25. 25. ScienceLogic Today  Founded in 2003, first funded in 2010  100+ employees  HQ in Virginia; Sales Offices in London, Sydney  64% revenue CAGR, 2004-2011  Funding©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved
    26. 26. Questions For more information: Blog: blog.sciencelogic.com Web: www.sciencelogic.com Email: info@sciencelogic.com©2012 ScienceLogic Inc. All rights reserved© 2012 ScienceLogic Inc. All Rights Reserved

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