Getting Cloud Architecture Right the First Time Ver 2David Linthicum
This document discusses best practices for designing cloud architectures. It recommends focusing on primitives like data, transaction, and utility services and building for tenants rather than individual users. The document also warns that security and governance must be addressed systematically. It provides an example reference architecture for migrating an existing business system to the cloud by breaking it into component services and redesigning the database.
The document provides an overview of various topics related to Microsoft's Windows Azure cloud computing platform including creating SQL databases, connecting to HDInsight clusters, uploading images to storage, cloud design patterns, Traffic Manager configuration, Big Data with HDInsight, managing data, infrastructure services, mobile services, web sites, virtual machines, media services, labs and samples, cloud services, SQL databases, and storage. It also includes various tutorials, guides, and resources for learning about and developing on the Windows Azure platform targeted at both newcomers and experienced users.
This document discusses cloud architecture patterns and provides examples to address common problems in cloud applications. It begins with an overview of common problem areas such as availability, data consistency, scalability, security and resiliency. It then describes and provides code samples for several cloud design patterns, including the queue-based load leveling pattern to handle variable workloads, the retry pattern to address transient faults, and the static content hosting pattern to optimize storage of static resources.
The document discusses several cloud design patterns including cache-aside, sharding, materialized views, event sourcing, and CQRS. It describes common problems these patterns address such as database bottlenecks, scaling limitations of a single database, and read/write mismatches. The document then provides overviews of how each pattern solves the associated problems through techniques like caching data, sharding databases, generating materialized views, and separating read and write functions.
Linthicum next generation-iaa s-paas-and-database-as-a-serviceDavid Linthicum
The document discusses emerging cloud computing technologies including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Database as a Service. It notes that IaaS is currently the fastest growing cloud service, with Gartner reporting 42.4% growth in 2012. Popular IaaS providers include Amazon Web Services, CloudStack, and OpenStack. PaaS offerings from Google App Engine, Heroku, and Amazon Elastic Beanstalk are analyzed in terms of their approaches and limitations. Best practices for adopting PaaS include considering application requirements, resources, data needs, and interactions beyond the platform.
This document discusses various cloud design patterns for common problems such as retries, circuit breakers, throttling, leader election, and static content hosting. It provides examples of the retry pattern using services such as Azure Storage, SQL Database, Service Bus, Cache, and DocumentDB. Solutions for other patterns like queue-based load leveling, index tables, and valet keys are also briefly outlined.
PCI-DSS Compliant Cloud - Design & Architecture Best PracticesHyTrust
This document summarizes a panel discussion on achieving PCI compliance in virtualized and cloud computing environments. The panelists discussed key challenges of PCI compliance in these environments, including increased risks from information leakage and lack of visibility. They emphasized the shared responsibility model between merchants and cloud providers, and advised merchants to understand the scope of their provider's PCI certification. The panel provided guidance on engaging a QSA early, adopting a virtualization by default approach, and starting with dedicated hosting before moving to public clouds. Resources for PCI compliance in virtualization and cloud were also listed.
The document summarizes an e-commerce application project implemented using a microservices architecture pattern hosted on AWS cloud infrastructure. Key components include microservices for customer, product, inventory, and email functionality. Each microservice is deployed in a Docker container on separate EC2 instances. An API gateway routes requests between the frontend web application and backend microservices. Databases and queues are also deployed as Docker containers. The project aims to demonstrate a scalable and available cloud native application design.
Leveraging the unique benefits of the cloud requires a specialized approach to application architecture. The right design enables business agility, massive scaling, ability to burst, and high resiliency. Plus, it promotes resource efficiency and can minimize costs. If you are involved in providing applications or services in the cloud, attend this session to learn the principles of cloud-aware application design and to explore emerging architectural patterns which maximize cloud advantages.
This document discusses microservices on Azure. It provides an overview of microservice patterns including the benefits of microservices like increased autonomy, scalability and team allocation. It also discusses challenges like discoverability. The document introduces Azure Service Fabric for building microservices and related cloud patterns like proxy, shared data and load leveling microservice patterns. It recommends microservices for highly skilled developers working on complex projects.
What kind of design patterns are useful for applications adopting the cloud? How can apps achieve the scalability and availability promised by the cloud? Presentation from Interop 2011 Enterprise Cloud Summit.
Distributed Design and Architecture of Cloud FoundryDerek Collison
In this session we will dig deep into Cloud Foundry's core architecture and design principles. We will discuss the challenges around scaling and operating a large scale service as we combined the PaaS and traditional IaaS layers, and how we achieve multiple updates per week to the system with no perceived downtime. Allowing user to download a single virtual machine that is a complete replica of the service presented some challenges as well, and we will discuss our approach to offering up the downloadable private cloud.
Getting Cloud Architecture Right the First Time Ver 2David Linthicum
This document discusses best practices for designing cloud architectures. It recommends focusing on primitives like data, transaction, and utility services and building for tenants rather than individual users. The document also warns that security and governance must be addressed systematically. It provides an example reference architecture for migrating an existing business system to the cloud by breaking it into component services and redesigning the database.
The document provides an overview of various topics related to Microsoft's Windows Azure cloud computing platform including creating SQL databases, connecting to HDInsight clusters, uploading images to storage, cloud design patterns, Traffic Manager configuration, Big Data with HDInsight, managing data, infrastructure services, mobile services, web sites, virtual machines, media services, labs and samples, cloud services, SQL databases, and storage. It also includes various tutorials, guides, and resources for learning about and developing on the Windows Azure platform targeted at both newcomers and experienced users.
This document discusses cloud architecture patterns and provides examples to address common problems in cloud applications. It begins with an overview of common problem areas such as availability, data consistency, scalability, security and resiliency. It then describes and provides code samples for several cloud design patterns, including the queue-based load leveling pattern to handle variable workloads, the retry pattern to address transient faults, and the static content hosting pattern to optimize storage of static resources.
The document discusses several cloud design patterns including cache-aside, sharding, materialized views, event sourcing, and CQRS. It describes common problems these patterns address such as database bottlenecks, scaling limitations of a single database, and read/write mismatches. The document then provides overviews of how each pattern solves the associated problems through techniques like caching data, sharding databases, generating materialized views, and separating read and write functions.
Linthicum next generation-iaa s-paas-and-database-as-a-serviceDavid Linthicum
The document discusses emerging cloud computing technologies including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Database as a Service. It notes that IaaS is currently the fastest growing cloud service, with Gartner reporting 42.4% growth in 2012. Popular IaaS providers include Amazon Web Services, CloudStack, and OpenStack. PaaS offerings from Google App Engine, Heroku, and Amazon Elastic Beanstalk are analyzed in terms of their approaches and limitations. Best practices for adopting PaaS include considering application requirements, resources, data needs, and interactions beyond the platform.
This document discusses various cloud design patterns for common problems such as retries, circuit breakers, throttling, leader election, and static content hosting. It provides examples of the retry pattern using services such as Azure Storage, SQL Database, Service Bus, Cache, and DocumentDB. Solutions for other patterns like queue-based load leveling, index tables, and valet keys are also briefly outlined.
PCI-DSS Compliant Cloud - Design & Architecture Best PracticesHyTrust
This document summarizes a panel discussion on achieving PCI compliance in virtualized and cloud computing environments. The panelists discussed key challenges of PCI compliance in these environments, including increased risks from information leakage and lack of visibility. They emphasized the shared responsibility model between merchants and cloud providers, and advised merchants to understand the scope of their provider's PCI certification. The panel provided guidance on engaging a QSA early, adopting a virtualization by default approach, and starting with dedicated hosting before moving to public clouds. Resources for PCI compliance in virtualization and cloud were also listed.
The document summarizes an e-commerce application project implemented using a microservices architecture pattern hosted on AWS cloud infrastructure. Key components include microservices for customer, product, inventory, and email functionality. Each microservice is deployed in a Docker container on separate EC2 instances. An API gateway routes requests between the frontend web application and backend microservices. Databases and queues are also deployed as Docker containers. The project aims to demonstrate a scalable and available cloud native application design.
Leveraging the unique benefits of the cloud requires a specialized approach to application architecture. The right design enables business agility, massive scaling, ability to burst, and high resiliency. Plus, it promotes resource efficiency and can minimize costs. If you are involved in providing applications or services in the cloud, attend this session to learn the principles of cloud-aware application design and to explore emerging architectural patterns which maximize cloud advantages.
This document discusses microservices on Azure. It provides an overview of microservice patterns including the benefits of microservices like increased autonomy, scalability and team allocation. It also discusses challenges like discoverability. The document introduces Azure Service Fabric for building microservices and related cloud patterns like proxy, shared data and load leveling microservice patterns. It recommends microservices for highly skilled developers working on complex projects.
What kind of design patterns are useful for applications adopting the cloud? How can apps achieve the scalability and availability promised by the cloud? Presentation from Interop 2011 Enterprise Cloud Summit.
Distributed Design and Architecture of Cloud FoundryDerek Collison
In this session we will dig deep into Cloud Foundry's core architecture and design principles. We will discuss the challenges around scaling and operating a large scale service as we combined the PaaS and traditional IaaS layers, and how we achieve multiple updates per week to the system with no perceived downtime. Allowing user to download a single virtual machine that is a complete replica of the service presented some challenges as well, and we will discuss our approach to offering up the downloadable private cloud.
This document introduces Keiichi Hashimoto, a core member of the Japan Windows Azure User Group (JAZUG) who works with Azure and Silverlight. It provides Hashimoto's contact information and mentions that JAZUG enjoys technology, contact, and business through Windows Azure. The document invites those interested in Azure to join JAZUG's online community or participate in their online and offline activities like voting, blogging, discussions, workshops, case studies, and parties.