Cloud connect - Delivering Enterprise Scale Applications on Cloud


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Delivering Enterprise Scale Applications on Cloud

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  • Topic title &My intro
  • My talk today is to how do we look at delivering enterprise scale applications on cloud – specifically public clouds
  • There are many varieties of applications - Two axisAxis 1 – Critical to businessAxis 2 – Differentiation in CompetitivenessNames for QudrantsLower Y axis - rename
  • Here is where you talk about Enterprise Applications & Customer’s reluctance to move to Cloud.There is lot of discussion on migrating applications on Cloud, but when it comes to Enterprises we see very little action except some amount of proof of concepts, trials etc.,The reasons for dong so…Fear of Unknown – Risk averseness
  • Mainframe -> Midrange -> Distributed Apps -> Client Server -> Web -> CloudIn order to build applications with such high QoS, building for non-functional requirements needs a focus. These are often called “Quality Attributes”. The following are some of the common Quality Attributes used in measuring the QoS of enterprise applications. Failure ResiliencyCommodity hardware and software infrastructure such as that is used by public clouds has more probability to fail. SecurityAvailable in a public internet, running on shared multi-tenant infrastructure, poses serious security challenges. ScalabilityGiven cloud instance capabilities are limited, building applications to scale is fundamental. PerformanceWith virtualization and network latency, performance is a key concern when designing applications on Cloud. Resource Locality“Locality” is the most distinguishing nature of public clouds. Use of virtualization and the dynamic provisioning makes it very difficult to locate and access resources.ManageabilityManaging Applications in terms of Deployment and Support is a challenge. Traditional Operations and Monitoring tools badly fail here.
  • -- Data partitioning patterns:
  • Cloud BI was a domain of startups focusing web analytics and social analytics.Changing for enterprise adoptionLook for Real use cases
  • Cloud connect - Delivering Enterprise Scale Applications on Cloud

    1. 1. MAY 24 - 25, 2012 | NIMHANS CONVENTION CENTRE, BENGALURU Delivering Enterprise Scale Applications on Cloud Aravind Ajad Yarra Lead Architect & Practice Lead, Architecture Services for Emerging Technologies, Wipro Technologies1
    2. 2. Outline of My Talk What are Enterprise Applications? Enterprise Applications What makes them stand apart? on Cloud What is missing in Cloud discussions? Delivering Architecture Qualities Enterprise Scale Applications on Cloud Key Concerns Integration Challenges Variety of Enterprise Workloads Addressing Approach to address the Concerns the Concerns3
    3. 3. Enterprise Applications & Cloud Business Critical • Accounting • Order Management • ERP • Online Commerce • HCM • Trading Systems • CRM Differentiating Commoditized • Group workflows • Pay roll processing • Knowledge Supports Business • Invoice Processing Management • Document Services4
    4. 4. What makes Enterprise Applications Special? • Highly Demanding Quality Complex Portfolio of Service of Applications • Regulatory Requirements • Heavy-lifting done in Infrastructure • Walls between Enterprise Apps Development & Operations Teams • Volume of Business Logic Lots of Legacy Demanding Application Application Applications Application Application Enterprise Class Applications & Rules QoS Middleware Middleware Software Platform Middleware Middleware Highly Reliable Software Infrastructure • Lots of Legacy OS OS OS OS Virtualization Hypervisor Infrastructure Storage Compute Network Highly Reliable Physical • Continuity & Repeatability Hardware Heavy-lifting in • Risk Aversion Infrastructure5
    5. 5. What is missing in Cloud Discussions? General Discussions on Cloud Adoption Is Missing The Focus on Enterprise Applications • No Discussion on Applications and Workloads Open • Very little discussion on Stack Non-Functional Qualities • Re-branding Virtualization as Cloud6
    6. 6. Key Concerns of Enterprise Applications Rethinking Enterprise Applications for Cloud7
    7. 7. Addressing Architecture Qualities Scalability, Performance, Resiliency, Security8
    8. 8. Scalability How it is done traditionally? • Vertical Scaling : Better CPUs, more memory and Bigger Boxes • Heavy-lifting in Software Infrastructure: Replication, Clustering How it can be done in Cloud? • Horizontal Scaling : Many VMs with limited resources • Smart Design of Applications: Stateless – Choose the right layer to manage state Distribute Components & Partitioning – Intelligent routing Message Queues9
    9. 9. Performance How it is done traditionally? • High performance hardware: • Best in class Processors • High performance & Low Latency Interconnects • Control: Precise Control on • Application Deployment • Connectivity How it can be done in Cloud? • Cache: Reduce I/O by pre-fetching and locating the data close to process • Location Proximity: Host the application closer to the end user. Choose the right location for cloud server • Optimize Layers: Don’t physically separate layers, be flexible on deployment. • Parallelization10
    10. 10. Resiliency How it is done traditionally? • Avoid Failures: Reliable Hardware Redundant resources (avoid SPOF) • Circuit Breakers: Don’t load beyond what it was tested for How it can be done in Cloud? • Graceful Recovery: Discover Roles, Discover Environment • Log Analysis: Use logs effectively Proactively identify failures • Auto scale, detect & route Multi-cloud service provider deployment11
    11. 11. Security How it is done traditionally? • Don’t host applications outside the network Host in internal data centers • Layers of protection Multiple layers of firewall devices Network partitions How it can be done in Cloud? • Defensive Development Write defensive software, Strong Access Control and Authentication • Encrypt Data on the wire & at rest Secure key management, virtual private networks • Compliance & Governance Hardened Images, Pinning to Location Logging, Auditing & monitoring12
    12. 12. Addressing Integration Concerns Integrating with other applications13
    13. 13. Integration in Enterprises • Primitive Integration Methods • Direct Db integration, file based integration etc., • Ad-hoc Integration • Lot of Legacy • Message based integration • Proprietary Integration Methods • Security • Very little regard to Interface Security • Perception of Security by Network Isolation • Diversified Stacks for Integration • Data Integration • Application Integration • Message based Integration Applications in Cloud make the Enterprise Integration Landscape very Complex14
    14. 14. Cloud Application Integration • Service Orientation • Design for consumption not for UI • Secure Service Design • Secure Authentication & Access • Trust based Security Authentication • Integration close to Applications • Lightweight Integration Stacks embedded into Application • Unified Integration Methods • Loose Coupling • Offline Application Experience • Multiple paths for Integration • Cloud Integration Brokers • Evolving space15
    15. 15. Enterprise Workloads Batch, Analytics16
    16. 16. Batch Applications • Best Suited for Cloud Deployment – Shrinking Batch Windows – Under Utilization of Infrastructure – Unable to handle peaks • Limitations in Cloud – Runs Close to the Data Stores – Data Integration Mechanisms Don’t Scale • Plan for Data Transfer Efficiency • Use Parallel Data Transfers • Compressed Data Transfers • Transfer only Summarized Data • Optimize the Time Window • Parallelize Workload • Incremental Uploads • Pre-upload • Use Cloud Direct Connectivity17
    17. 17. Analytics Applications • Proprietary Applications • Use of Proprietary Appliances • Use of Closed Commercial Applications • Large scale Data warehouses • High volumes of Data • Virtual Appliances • Adoption of Virtual Analytical Appliances • Leverage Cloud Scalability • Analytics that suit Cloud • Real time Analytics – Capture events for analytics • Big Data Analytics – Use Hadoop on Cloud18
    18. 18. Manageability • Manageability in Mind • Monitoring Hooks • Well designed logging strategy • Strong Monitoring & Management Infrastructure • Automation • Distributed Monitoring • Monitoring across Layers • Proactive Analysis • Integrated View • View of the Applications, Services and VMs • Dashboards • Integrated Operations Center • Competency • Centre of Excellence • Establish best practices, guidelines and references19
    19. 19. Key Takeaways • Move beyond the talk on Cloud • Don’t be risk averse, design for handling the risk • Most Enterprise Applications are suited to run on Cloud • Adoption Strategy – Application Refactoring • Design Applications with Cloud in Mind • Move beyond traditional methods to meet Quality needs • Design for failure, design for unreliability, design for security • Gear up for cloud • Competency • Best Practices20
    20. 20. Questions?21
    21. 21. Thank You @aravindajad Aravind Ajad Yarra