![Using Z-axis scaling each server runs an identical copy of the
code, however handle subset of data
/purchase[A-K]
/purchase[L-Q]
/purchase[R-Z]
Products (A-K)
Products (L-Q)
Products (R-Z)](https://image.slidesharecdn.com/modernarch-150826103404-lva1-app6891/85/Modern-Software-Architecture-Cloud-Scale-Computing-17-320.jpg)
Modern Software Architecture - Cloud Scale Computing
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The document provides an overview of modern cloud architecture. It discusses key cloud concepts like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also covers architectural considerations for cloud applications like multi-tenancy, load balancing, scaling, security, monitoring, and metering. Microservices architecture and containerization are introduced as approaches for building applications for the cloud. Data-intensive architectures like lambda architecture are also summarized.
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Modern Software Architecture - Cloud Scale Computing
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- 2. Agenda • What isCloud? • Softwares in Cloud? • Architecting for Cloud • Application • Micro Services • Data Intensive • Questions
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- 4. “Cloud computing enablescompanies to consume compute resources as a utility (like electricity) rather than having to build and maintain computing infrastructures in-house.” Three of the main benefits of cloud computing include: • Self-service provisioning: End users can spin up computing resources for almost any type of workload on-demand. • Elasticity: Companies can scale up as computing needs increase and then scale down again as demands decrease. • Pay per use: Computing resources are measured at a granular level, allowing users to pay only for the resources and workloads they use. Cloud
- 5. CloudLayers PAAS SAAS IAAS Build On It Migrate to It Consume It SoftwareAs Service Platform As Service Infra As Service Compute Network Storage Server load balancer Firewalls IP Application Server Web Server Runtime Database Queue Monitoring Games Collaboration Finance Communication CRM
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- 8. Factors • Multi-tenancy • LoadBalancing • Scaling • Security • Monitoring and Metering • Pricing
- 9. Tenancy Shared Nothing SharedFew Shared Everything ☺ ☺ ☺ ☺ ☺ ☺ ☺ ☺ ☺ ☺ ☺ ☺ app app app app Application Application Databasedb db db db db db db db
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- 14. X-axis scaling consistsof running multiple copies of an application behind a load balancer. /report /report /report
- 15. Y-axis axis scalingsplits the application into multiple, different services. Each service is responsible for one or more closely related functions. /login /purchase /report
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- 17. Using Z-axis scalingeach server runs an identical copy of the code, however handle subset of data /purchase[A-K] /purchase[L-Q] /purchase[R-Z] Products (A-K) Products (L-Q) Products (R-Z)
- 18. Monitoring and MeteringCloud application metrics for health tracking and also pricing • CPU Utilization • Network (Inbound / Outbound) • DiskOps, Bytes (Read/Write) • ServerThroughput (In/Out) • Service API Usage Count • Delays Metering
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- 20. Pricing • Focusing solelyon registering accounts with free trials increases dependency and ultimately, conversions. • Presenting 5 plans clearly enforces the level of seriousness, capability, and value increase by price plan, without doubting higher price points. • Focusing on team size directly validates price differences. • Pairing a free trial with necessary quotes allows potential customers to experience the service first-hand and validate higher-priced plan propositions. • Transparency and customisation in pricing information allow potential customers to determine an appropriate plan and increase comfort level.
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- 22. Security Reference : AWSDocumentation on Security
- 23. Security Top 10 securityissues to be addressed, • SQL, operating system or LDAP injection • Insecure authentication and session management • Cross-site scripting because of lack of data validation • Insecure exposure to references like files and directories • Incorrectly configured (from a security perspective) databases, middleware and operating systems • Exposing sensitive data like user IDs, passwords and personal identification information • Checking for access inside the business logic on the server side • Cross-site request forgery • Using components with known vulnerabilities • Unvalidated redirects and forwards
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- 25. Assignment Questionnaire App We haveto design an SAAS based application for helping customer who like to post a survey, poll, census to study their customer expectation, business reachability or quiz competitions. Functionality, 1. An Account can have many survey and track them 2. Participant can be Anonymous (survey) or known (quiz) 3. Statistical analytics of individual survey 4. Every campaign stay active for duration 5. API Service for custom integration 6. Charges Factors to be noted, 1. Scale, end user must get seamless feeling even the load high 2. Multi-Tenancy 3. Security
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- 27. Micro Service Architectureis an architectural concept that aims to decouple a solution by decomposing functionality into discrete services. µServices Reference http://www.pwc.com/us/en/technology-forecast/2014/cloud-computing/features/microservices.jhtml
- 28. • the microservicearchitectural style is an approach to developing a single application as a suite of small services, each running in its own process and communicating with lightweight mechanisms, often an HTTP resource API. • These services are built around business capabilities and independently deployable by fully automated deployment machinery. • There is a bare mininum of centralized management of these services, which may be written in different programming languages and use different data storage technologies. Anatomy
- 29. Design Monolithic Application MicroservicesApplication
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- 32. Operating-system-level virtualization isa server-virtualization method where the kernel of an operating system allows for multiple isolated user- space instances, instead of just one. Such instances, which are sometimes called containers, software containers, virtualization engines (VEs) or jails, may look and feel like a real server from the point of view of its owners and users. On Unix-like operating systems, one can see this technology as an advanced implementation of the standard chroot mechanism. In addition to isolation mechanisms, the kernel often provides resource-management features to limit the impact of one container's activities on other containers. ~wikipedia Containers
- 33. Server Host OS Guest OS Bin/Lib APP Bin/Lib APP Bin/Lib APP APPAPP VMStack Hypervisor Guest OS Guest OS
- 34. Server / Hypervisor HostOS Container Engine (Docker, Rocket) Bin/Lib APP Bin/Lib APP Bin/Lib APP APP APP ContainerStack Containers
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- 36. ContainerLayout Layer 1 (Shared) Layer2 (Shared) Layer 3 (A) Layer 3 (B) Layer 3 (C) APP APP APP
- 37. • Lightweight resourceutilisation: instead of virtualising an entire operating system, containers isolate at the process level and use the host’s kernel. • Portability: all of the dependencies for a containerised application are bundled inside of the container, allowing it to run on any container engine host (Docker). • Predictability: The host does not care about what is running inside of the container and the container does not care about which host it is running on. The interfaces are standardised and the interactions are predictable. Advantage
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- 40. • Kubernetes • Fleet •Swarm • Mesos • Marathan Scheduler
- 41. • Google ContainerEngine • Amazon EC2 • Azure Container System • Microsoft Service Fabrics CloudOffering
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- 44. Reference : TieconBigdata Landscape
- 45. Reference : IBMInfographics
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- 54. Cloud / VirtualMachine / Network / Cluster Hadoop Framework Ingress Staging Data Processing Orchestrate Egress Data Pipeline Flume Sqoop HDFS HTTPFS AVRO ETL ACL YARN STROM SPARK MapReduce Oozie CDH Navigator RDBMS Data JSON XML
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- 56. Speed Layer Batch LayerService Layer Query Query Reference : Bigdata Lambda Architecture
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- 58. Assignment Recommendation System Analysisof social media activity is one of the most important. Everyone a on social media these days, whether they're "liking" company pages on Facebook or tweeting complaints about products on Twitter. A Big Data solution built to harvest and analyze social media activity, Social media can provide real-time insights into how the market is responding to products and campaigns. With those insights, companies can adjust their pricing, promotion, and campaign placement on the fly for optimal results. Functionality, 1. Recognise my taste like What Would customer buy in near feature (Personal) 2. Recognise the Market trend in a Particular city (Geo) 3. Feed from FB Pages, Twitter, Review sights Factors to be noted, 1. Accuracy of result
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