Welcome!

Microservices Expo Authors: Pat Romanski, Dalibor Siroky, Stackify Blog, Elizabeth White, Liz McMillan

Related Topics: Eclipse, Java IoT, Microservices Expo, IBM Cloud, Weblogic, Microsoft Cloud, Recurring Revenue, Log Management, @CloudExpo

Eclipse: Article

Cloud Computing, SOA and Windows Azure

Cloud Services with Windows Azure - Part 1

For a complete list of the co-authors and contributors, see the end of the article.

Microsoft's Software-plus-Services strategy represents a view of the world where the growing feature-set of devices and the increasing ubiquity of the Web are combined to deliver more compelling solutions. Software-plus-Services represents an evolutionary step that is based on existing best practices in IT and extends the application potential of core service-orientation design principles.

Microsoft's efforts to embrace the Software-plus-Services vision are framed by three core goals:

  • User experiences should span beyond a single device
  • Solution architectures should be able to intelligently leverage and integrate
    on-premise IT assets with cloud assets
  • Tightly coupled systems should give way to federations of cooperating systems and loosely coupled compositions

The Windows Azure platform represents one of the major components of the Software-plus-Services strategy, as Microsoft's cloud computing operating environment, designed from the outset to holistically manage pools of computation, storage and networking; all encapsulated by one or more services.

Cloud Computing 101
Just like service-oriented computing, cloud computing is a term that represents many diverse perspectives and technologies. In this book, our focus is on cloud computing in relation to SOA and Windows Azure.

Cloud computing enables the delivery of scalable and available capabilities by leveraging dynamic and on-demand infrastructure. By leveraging these modern service technology advances and various pervasive Internet technologies, the "cloud" represents an abstraction of services and resources, such that the underlying complexities of the technical implementations are encapsulated and transparent from users and consumer programs interacting with the cloud.

At the most fundamental level, cloud computing impacts two aspects of how people interact with technologies today:

  • How services are consumed
  • How services are delivered

Although cloud computing was originally, and still often is, associated with Web-based applications that can be accessed by end-users via various devices, it is also very much about applications and services themselves being consumers of cloud-based services. This fundamental change is a result of the transformation brought about by the adoption of SOA and Web-based industry standards, allowing for service-oriented and Web-based resources to become universally accessible on the Internet as on-demand services.

One example has been an approach whereby programmatic access to popular functions on Web properties is provided by simplifying efforts at integrating public-facing services and resource-based interactions, often via RESTful interfaces. This was also termed "Web-oriented architecture" or "WOA," and was considered a subset of SOA. Architectural views such as this assisted in establishing the Web-as-a-platform concept, and helped shed light on the increasing inter-connected potential of the Web as a massive collection (or cloud) of ready-to-use and always-available capabilities.

This view can fundamentally change the way services are designed and constructed, as we reuse not only someone else's code and data, but also their infrastructure resources, and leverage them as part of our own service implementations. We do not need to understand the inner workings and technical details of these services; Service Abstraction (696), as a principle, is applied to its fullest extent by hiding implementation details behind clouds.

SOA Principles and Patterns
There are several SOA design patterns that are closely related to common cloud computing implementations, such as Decoupled Contract [735], Redundant Implementation [766], State Repository [785], and Stateful Services [786]. In this and subsequent chapters, these and other patterns will be explored as they apply specifically to the Windows Azure cloud ­platform.

With regards to service delivery, we are focused on the actual design, development, and implementation of cloud-based services. Let's begin by establishing high-level characteristics that a cloud computing environment can include:

  • Generally accessible
  • Always available and highly reliable
  • Elastic and scalable
  • Abstract and modular resources
  • Service-oriented
  • Self-service management and simplified provisioning

Fundamental topics regarding service delivery pertain to the cloud deployment model used to provide the hosting environment and the service delivery model that represents the functional nature of a given cloud-based service. The next two sections explore these two types of models.

Cloud Deployment Models
There are three primary cloud deployment models. Each can exhibit the previously listed characteristics; their differences lie primarily in the scope and access of published cloud services, as they are made available to service consumers.

Let's briefly discuss these deployment models individually.

Public Cloud
Also known as external cloud or multi-tenant cloud, this model essentially represents a cloud environment that is openly accessible. It generally provides an IT infrastructure in a third-party physical data center that can be utilized to deliver services without having to be concerned with the underlying technical complexities.

Essential characteristics of a public cloud typically include:

  • Homogeneous infrastructure
  • Common policies
  • Shared resources and multi-tenant
  • Leased or rented infrastructure; operational expenditure cost model
  • Economies of scale and elastic scalability

Note that public clouds can host individual services or collections of services, allow for the deployment of service compositions, and even entire service inventories.

Private Cloud
Also referred to as internal cloud or on-premise cloud, a private cloud intentionally limits access to its resources to service consumers that belong to the same organization that owns the cloud. In other words, the infrastructure that is managed and operated for one organization only, primarily to maintain a consistent level of control over security, privacy, and governance.

Essential characteristics of a private cloud typically include:

  • Heterogeneous infrastructure
  • Customized and tailored policies
  • Dedicated resources
  • In-house infrastructure (capital expenditure cost model)
  • End-to-end control

Community Cloud
This deployment model typically refers to special-purpose cloud computing environments shared and managed by a number of related organizations participating in a common domain or vertical market.

Other Deployment Models
There are variations of the previously discussed deployment models that are also worth noting. The hybrid cloud, for example, refers to a model comprised of both private and public cloud environments. The dedicated cloud (also known as the hosted cloud or virtual private cloud) represents cloud computing environments hosted and managed off-premise or in public cloud environments, but dedicated resources are provisioned solely for an organization's private use.

The Intercloud (Cloud of Clouds)
The intercloud is not as much a deployment model as it is a concept based on the aggregation of deployed clouds (Figure 8.1). Just like the Internet, which is a network of networks; intercloud refers to an inter-connected global cloud of clouds. Also like the World Wide Web, intercloud represents a massive collection of services that organizations can explore and consume.

Figure 1: Examples of how vendors establish a commercial intercloud

From a services consumption perspective, we can look at the intercloud as an on-demand SOA environment where useful services managed by other organizations can be leveraged and composed. In other words, services that are outside of an organization's own boundaries and operated and managed by others can become a part of the aggregate portfolio of services of those same organizations.

Deployment Models and Windows Azure
Windows Azure exists in a public cloud. Windows Azure itself is not made available as a packaged software product for organizations to deploy into their own IT enterprises. However, Windows Azure-related features and extensions exist in Microsoft's on-premise software products, and are collectively part of Microsoft's private cloud strategy. It is important to understand that even though the software infrastructure that runs Microsoft's public cloud and private clouds are different, layers that matter to end-user organizations, such as management, security, integration, data, and application are increasingly consistent across private and public cloud environments.

Service Delivery Models
Many different types of services can be delivered in the various cloud deployment environments. Essentially, any IT resource or function can eventually be made available as a service. Although cloud-based ecosystems allow for a wide range of service delivery models, three have become most prominent:

Infrastructure-as-a-Service (IaaS)
This service delivery model represents a modern form of utility computing and outsourced managed hosting. IaaS environments manage and provision fundamental computing resources (networking, storage, virtualized servers, etc.). This allows consumers to deploy and manage assets on leased or rented server instances, while the service providers own and govern the underlying infrastructure.

Platform-as-a-Service (PaaS)
The PaaS model refers to an environment that provisions application platform resources to enable direct deployment of application-level assets (code, data, configurations, policies, etc.). This type of service generally operates at a higher abstraction level so that users manage and control the assets they deploy into these environments. With this arrangement, service providers maintain and govern the application environments, server instances, as well as the underlying infrastructure.

Software-as-a-Service (SaaS)
Hosted software applications or multi-tenant application services that end-users consume directly correspond to the SaaS delivery model. Consumers typically only have control over how they use the cloud-based service, while service providers maintain and govern the software, data, and underlying infrastructure.

Other Delivery Models
Cloud computing is not limited to the aforementioned delivery models. Security, governance, business process management, integration, complex event processing, information and data repository processing, collaborative processes-all can be exposed as services and consumed and utilized to create other services.

Note: Cloud deployment models and service delivery models are covered in more detail in the upcoming book SOA & Cloud Computing as part of the Prentice Hall Service-Oriented Computing Series from Thomas Erl. This book will also introduce several new design patterns related to cloud-based service, composition, and platform design.

IaaS vs. PaaS
In the context of SOA and developing cloud-based services with Windows Azure, we will focus primarily on IaaS and PaaS delivery models in this chapter. Figure 8.2 illustrates a helpful comparison that contrasts some primary differences. Basically, IaaS represents a separate environment to host the same assets that were traditionally hosted on-premise, whereas PaaS represents environments that can be leveraged to build and host next-generation service-oriented solutions.

Figure 2: Common Differentiations Between Delivery Models

We interact with PaaS at a higher abstraction level than with IaaS. This means we manage less of the infrastructure and assume simplified administration responsibilities. But at the same time, we have less control over this type of environment.

IaaS provides a similar infrastructure to traditional on-premise environments, but we may need to assume the responsibility to re-architect an application in order to effectively leverage platform service clouds. In the end, PaaS will generally achieve a higher level of scalability and reliability for hosted services.

An on-premise infrastructure is like having your own car. You have complete control over when and where you want to drive it, but you are also responsible for its operation and maintenance. IaaS is like using a car rental service. You still have control over when and where you want to go, but you don't need to be concerned with the vehicle's maintenance. PaaS is more comparable to public transportation. It is easier to use as you don't need to know how to operate it and it costs less. However, you don't have control over its operation, schedule, or routes.

Summary

  • Cloud computing enables the delivery of scalable and available capabilities by leveraging dynamic and on-demand infrastructure.
  • There are three common types of cloud deployment models: public cloud, private cloud, and community cloud.
  • There are three common types of service delivery models: IaaS, PaaS, and SaaS.

•   •   •

This excerpt is from the book, "SOA with .NET & Windows Azure: Realizing Service-Orientation with the Microsoft Platform", edited and co-authored by Thomas Erl, with David Chou, John deVadoss, Nitin Ghandi, Hanu Kommapalati, Brian Loesgen, Christoph Schittko, Herbjörn Wilhelmsen, and Mickie Williams, with additional contributions from Scott Golightly, Daryl Hogan, Jeff King, and Scott Seely, published by Prentice Hall Professional, June 2010, ISBN 0131582313, Copyright 2010 SOA Systems Inc. For a complete Table of Contents please visit: www.informit.com/title/0131582313

Authors
David Chou is a technical architect at Microsoft and is based in Los Angeles. His focus is on collaborating with enterprises and organizations in such areas as cloud computing, SOA, Web, distributed systems, and security.

John deVadoss leads the Patterns & Practices team at Microsoft and is based in Redmond, WA.

Thomas Erl is the world's top-selling SOA author, series editor of the Prentice Hall Service-Oriented Computing Series from Thomas Erl (www.soabooks.com), and editor of the SOA Magazine (www.soamag.com).

Nitin Gandhi is an enterprise architect and an independent software consultant, based in Vancouver, BC.

Hanu Kommalapati is a Principal Platform Strategy Advisor for a Microsoft Developer and Platform Evangelism team based in North America.

Brian Loesgen is a Principal SOA Architect with Microsoft, based in San Diego. His extensive experience includes building sophisticated enterprise, ESB and SOA solutions.

Christoph Schittko is an architect for Microsoft, based in Texas. His focus is to work with customers to build innovative solutions that combine software + services for cutting edge user experiences and the leveraging of service-oriented architecture (SOA) solutions.

Herbjörn Wilhelmsen is a consultant at Forefront Consulting Group, based in Stockholm, Sweden. His main areas of focus are Service-Oriented Architecture, Cloud Computing and Business Architecture.

Mickey Williams leads the Technology Platform Group at Neudesic, based in Laguna Hills,

Contributors
Scott Golightly is currently an Enterprise Solution Strategist with Advaiya, Inc; he is also a Microsoft Regional Director with more than 15 years of experience helping clients to create solutions to business problems with various technologies.

Darryl Hogan is an architect with more than 15 years experience in the IT industry. Darryl has gained significant practical experience during his career as a consultant, technical evangelist and architect.

As a Senior Technical Product Manager at Microsoft, Kris works with customers, partners, and industry analysts to ensure the next generation of Microsoft technology meets customers' requirements for building distributed, service-oriented solutions.

Jeff King has been working with the Windows Azure platform since its first announcement at PDC 2008 and works with Windows Azure early adopter customers in the Windows Azure TAP

Scott Seely is co-founder of Tech in the Middle, www.techinthemiddle.com, and president of Friseton, LLC,

More Stories By Thomas Erl

Thomas Erl is a best-selling IT author and founder of Arcitura Education Inc., a global provider of vendor-neutral educational services and certification that encompasses the Cloud Certified Professional (CCP) and SOA Certified Professional (SOACP) programs from CloudSchool.com™ and SOASchool.com® respectively. Thomas has been the world's top-selling service technology author for nearly a decade and is the series editor of the Prentice Hall Service Technology Series from Thomas Erl, as well as the editor of the Service Technology Magazine. With over 175,000 copies in print world-wide, his eight published books have become international bestsellers and have been formally endorsed by senior members of many major IT organizations and academic institutions. To learn more, visit: www.thomaserl.com

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


@MicroservicesExpo Stories
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads. In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the p...
The nature of test environments is inherently temporary—you set up an environment, run through an automated test suite, and then tear down the environment. If you can reduce the cycle time for this process down to hours or minutes, then you may be able to cut your test environment budgets considerably. The impact of cloud adoption on test environments is a valuable advancement in both cost savings and agility. The on-demand model takes advantage of public cloud APIs requiring only payment for t...
It has never been a better time to be a developer! Thanks to cloud computing, deploying our applications is much easier than it used to be. How we deploy our apps continues to evolve thanks to cloud hosting, Platform-as-a-Service (PaaS), and now Function-as-a-Service. FaaS is the concept of serverless computing via serverless architectures. Software developers can leverage this to deploy an individual "function", action, or piece of business logic. They are expected to start within milliseconds...
As DevOps methodologies expand their reach across the enterprise, organizations face the daunting challenge of adapting related cloud strategies to ensure optimal alignment, from managing complexity to ensuring proper governance. How can culture, automation, legacy apps and even budget be reexamined to enable this ongoing shift within the modern software factory? In her Day 2 Keynote at @DevOpsSummit at 21st Cloud Expo, Aruna Ravichandran, VP, DevOps Solutions Marketing, CA Technologies, was jo...
You know you need the cloud, but you’re hesitant to simply dump everything at Amazon since you know that not all workloads are suitable for cloud. You know that you want the kind of ease of use and scalability that you get with public cloud, but your applications are architected in a way that makes the public cloud a non-starter. You’re looking at private cloud solutions based on hyperconverged infrastructure, but you’re concerned with the limits inherent in those technologies.
Is advanced scheduling in Kubernetes achievable?Yes, however, how do you properly accommodate every real-life scenario that a Kubernetes user might encounter? How do you leverage advanced scheduling techniques to shape and describe each scenario in easy-to-use rules and configurations? In his session at @DevOpsSummit at 21st Cloud Expo, Oleg Chunikhin, CTO at Kublr, answered these questions and demonstrated techniques for implementing advanced scheduling. For example, using spot instances and co...
The cloud era has reached the stage where it is no longer a question of whether a company should migrate, but when. Enterprises have embraced the outsourcing of where their various applications are stored and who manages them, saving significant investment along the way. Plus, the cloud has become a defining competitive edge. Companies that fail to successfully adapt risk failure. The media, of course, continues to extol the virtues of the cloud, including how easy it is to get there. Migrating...
For DevOps teams, the concepts behind service-oriented architecture (SOA) are nothing new. A style of software design initially made popular in the 1990s, SOA was an alternative to a monolithic application; essentially a collection of coarse-grained components that communicated with each other. Communication would involve either simple data passing or two or more services coordinating some activity. SOA served as a valid approach to solving many architectural problems faced by businesses, as app...
Some journey to cloud on a mission, others, a deadline. Change management is useful when migrating to public, private or hybrid cloud environments in either case. For most, stakeholder engagement peaks during the planning and post migration phases of a project. Legacy engagements are fairly direct: projects follow a linear progression of activities (the “waterfall” approach) – change managers and application coders work from the same functional and technical requirements. Enablement and develo...
Gone are the days when application development was the daunting task of the highly skilled developers backed with strong IT skills, low code application development has democratized app development and empowered a new generation of citizen developers. There was a time when app development was in the domain of people with complex coding and technical skills. We called these people by various names like programmers, coders, techies, and they usually worked in a world oblivious of the everyday pri...
From manual human effort the world is slowly paving its way to a new space where most process are getting replaced with tools and systems to improve efficiency and bring down operational costs. Automation is the next big thing and low code platforms are fueling it in a significant way. The Automation era is here. We are in the fast pace of replacing manual human efforts with machines and processes. In the world of Information Technology too, we are linking disparate systems, softwares and tool...
DevOps is good for organizations. According to the soon to be released State of DevOps Report high-performing IT organizations are 2X more likely to exceed profitability, market share, and productivity goals. But how do they do it? How do they use DevOps to drive value and differentiate their companies? We recently sat down with Nicole Forsgren, CEO and Chief Scientist at DORA (DevOps Research and Assessment) and lead investigator for the State of DevOps Report, to discuss the role of measure...
DevOps is under attack because developers don’t want to mess with infrastructure. They will happily own their code into production, but want to use platforms instead of raw automation. That’s changing the landscape that we understand as DevOps with both architecture concepts (CloudNative) and process redefinition (SRE). Rob Hirschfeld’s recent work in Kubernetes operations has led to the conclusion that containers and related platforms have changed the way we should be thinking about DevOps and...
"As we've gone out into the public cloud we've seen that over time we may have lost a few things - we've lost control, we've given up cost to a certain extent, and then security, flexibility," explained Steve Conner, VP of Sales at Cloudistics,in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
These days, APIs have become an integral part of the digital transformation journey for all enterprises. Every digital innovation story is connected to APIs . But have you ever pondered over to know what are the source of these APIs? Let me explain - APIs sources can be varied, internal or external, solving different purposes, but mostly categorized into the following two categories. Data lakes is a term used to represent disconnected but relevant data that are used by various business units wit...
With continuous delivery (CD) almost always in the spotlight, continuous integration (CI) is often left out in the cold. Indeed, it's been in use for so long and so widely, we often take the model for granted. So what is CI and how can you make the most of it? This blog is intended to answer those questions. Before we step into examining CI, we need to look back. Software developers often work in small teams and modularity, and need to integrate their changes with the rest of the project code b...
"I focus on what we are calling CAST Highlight, which is our SaaS application portfolio analysis tool. It is an extremely lightweight tool that can integrate with pretty much any build process right now," explained Andrew Siegmund, Application Migration Specialist for CAST, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
"Cloud4U builds software services that help people build DevOps platforms for cloud-based software and using our platform people can draw a picture of the system, network, software," explained Kihyeon Kim, CEO and Head of R&D at Cloud4U, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Kubernetes is an open source system for automating deployment, scaling, and management of containerized applications. Kubernetes was originally built by Google, leveraging years of experience with managing container workloads, and is now a Cloud Native Compute Foundation (CNCF) project. Kubernetes has been widely adopted by the community, supported on all major public and private cloud providers, and is gaining rapid adoption in enterprises. However, Kubernetes may seem intimidating and complex ...
DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm. In their Day 3 Keynote at 20th Cloud Expo, Chris Brown, a Solutions Marketing Manager at Nutanix, and Mark Lav...