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C9530-519 IBM API Connect v. 5.0.5 Solution Implementation

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C9530-519 exam Dumps Source : IBM API Connect v. 5.0.5 Solution Implementation

Test Code : C9530-519
Test appellation : IBM API Connect v. 5.0.5 Solution Implementation
Vendor appellation : IBM
: 74 actual Questions

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IBM IBM API Connect v.

Migration from IBM Bluemix facts connect API (actions) to IBM Watson information API (records flows) | killexams.com actual Questions and Pass4sure dumps

right here assistance will support IBM Bluemix statistics combine consumers of the statistics Load leisure API to port to the IBM Watson records API information flows carrier.

evaluation of pastime JSON vs records stream JSON

At a excessive stage, the pastime JSON and statistics circulate JSON constructions achieve a generally equivalent effect, albeit in a a diminutive bit discrete manner. This doc will summarize the main differences. (notice that property naming has changed from being “camelCase” in activities to “running_case” in statistics flows.)

beneath is a abstract of the main features within the inputDocument of the activity json. here is the fundamental crawl definition. many of the aspects are not obligatory and default behaviour happens if they Do not exist.

activity inputDocument structure:

sourceOptions targetOptions sourcesconnectiontables[] shapingPipelines[]sourceTableshapingOperations[] targetsconnectiontables[]

despite the fact, the facts crawl equivalent has a plenty cleaner, easier structure.

facts circulate entity structure:

pipelinepipelines[]nodes[]

In exercise json, metadata is one after the other defined for the sources and objectives, and then referenced within the shapingPipelines by the employ of using described statistics sets. These are referenced to create a directed acyclic graph (DAG), the linkages of which delineate how the facts is processed. The equal thought exists in records flows, apart from there isn't any requisite for the metadata definition, and sources and pursuits are just described as binding nodes as piece of the nodes checklist in the pipeline. in a similar fashion, the equal of an operation in an activity is an execution node in an information move. within the records circulate, the nodes comprise input and output port definitions with IDs which are equivalent to statistics units in actions.

Binding node examples

the first illustration has an simple connection to a source database desk. The connection is referenced without delay in the binding node (here is in the supply component to endeavor json) and the interaction homes are a piece of the connection belt (whereas in endeavor json, they are in a divorce “sourceOptions” area). This binding node has one output which has a “port” identity source1output, pleasing within that binding node.

"id": "source1","class": "binding","output": "identification": "source1output","connection": "houses": "schema_name": "MyDatabaseSchema","table_name": "MySourceTable",,"ref": "UniqueConnectionId",

The 2d illustration has an simple connection to a goal database table. The connection homes are dealt with in the exact same method. This binding node has one enter which “links” to the first instance (the link consists of the node id source1as smartly as the port identity source1output), to create the least difficult of pipelines.

"identity": "target1","classification": "binding","input": "link": "node_id_ref": "source1","port_id_ref": "source1output","id": "targetInput1","connection": "homes": "schema_name": "MyDatabaseSchema","table_name": "MyTargetTable","table_action": "change","ref": "UniqueConnectionId", Execution node example

The illustration below can subsist added to the node list containing the instance above (via changing the target input link “node_id_ref” property to operation1 and “port_id_ref” property to outputPort1) to insert it into the pipeline. enjoy an endeavor operation, there's an “op” but the equivalent of “argumentBindings” is “parameters” and as outlined earlier than, “inputDatasets” and “outputDatasets” are now “inputs” and “outputs”.

"identity": "operation1","class": "execution_node","op": "com.ibm.wdp.transformer.FreeformCode","parameters": "FREEFORM_CODE": "filter(CUST_NO > 100004)","inputs": ["link": "node_id_ref": "source1","port_id_ref": "source1output","id": "inputPort1"],"outputs": ["id": "outputPort1"],

For greater tips about binding nodes and execution nodes in information flows espy Getting entire started > records Flows within the Watson information API documentation.

API equivalents

right here tables clarify activities APIs and their facts circulation service equivalents.

activities and statistics flows activity and records movement runs

For greater information in regards to the records movement APIs espy Documentation > data Flows in the Watson facts API documentation.


Modernizing IBM i Apps with Microservices | killexams.com actual Questions and Pass4sure dumps

November 7, 2018 Alex Woodie

utility modernization potential various things to diverse people. For some, it may subsist turning a 5250 divulge into an internet or cellular interface, or changing database access with SQL. but for others within the IBM i neighborhood, including the dealer OpenLegacy, modernization refers to exposing existing business common sense as APIs via a microservices architecture.

Microservices refers to a application evolution technique whereby purposes are damaged down into dissimilar self-contained accessories and served via APIs in a loosely coupled but coordinated method. The leading scholarship of this strategy is each and every microservice is developed independently of others, that may raise productiveness and outcomes in additional resilient purposes. It’s fairly an terrible lot the direct philosophical contradictory of the monolithic strategy behind many (if not most) IBM i applications.

The up to date distributed microservices architecture is identical in some respects to the provider oriented architecture (SOA) approach that rose to prominence within the early 2000s, including the componentization of enterprise technique and reliance on APIs. besides the fact that children, there are valuable distinctions that set microservices, including using lighter weight API protocols reminiscent of leisure (in its position of soap and XML) and the employ of containerization technologies enjoy Kubernetes and Docker.

whereas microservices had been within the information a bit, they’re nevertheless rather original and there is loads of work being completed in the meanwhile to enhance the tooling that businesses can employ to build and expose their personal microservices. A contemporaneous survey by microservices utility company Perficient discovered that 70% of agencies are investigating microservices architectures, however are facing IT headwinds because the organizations shift to develop into extra agile and DevOps-focused.

Microservices are being adopted with original applications, but that doesn’t imply they’re inappropriate to present ones. A recent pink Hat survey discovered that about practically 80% of users of its Kubernetes platform, known as OpenShift, were microservices as piece of their efforts to re-architect current applications.

To compose certain, there are a number of studies of corporations adopting microservices applied sciences and strategies to profit extra cost from legacy programs. In its contemporaneous whitepaper “How APIs Can Modernize Legacy programs,” API administration enterprise MuleSoft discusses how several tremendous corporations enjoy Siemens and Mount Sinai fitness rig re-architected enterprise approaches housed in legacy techniques enjoy IBM mainframes round APIs, which more suitable access to the techniques while cutting back upkeep charges.

MuleSoft supports the IBM i platform with its API administration platform. which you could additionally learn IBM i aid with some of the right-tier API administration providers, corresponding to IBM with its connect offering, CA applied sciences and its Layer 7 offering, and Google with its Apigee offering.

APIs are a core enabling component of microservices. but more and more businesses are looking for microservices platforms to assist speed up the introduction of a microservices structure in their atmosphere. One dealer constructing this sort of microservice platform for IBM i is OpenLegacy.

A microservices architecture permits company common sense to subsist referred to as by means of APIs in decentralized and resilient vogue. (image courtesy Smartbear.)

the brand original Jersey-based mostly business has been plying the software modernization waters for IBM mainframe and IBM i with its API-centric providing seeing that it burst onto the scene a few years ago. at the time, the company became espousing its means to re-kit and expose business techniques on IBM i and mainframe techniques as individual cleaning soap and relaxation APIs.

but as momentum has developed round microservices, OpenLegacy has tailored its API strategy and adopted the microservices approach to legacy modernization, in keeping with OpenLegacy Chief Product Officer Zeev Avidan. “Two years in the past they had been firstly of that adventure,” Avidan tells IT Jungle. but now we’re providing a complete microservice architecture out of the box.”

The company’s microservices-based mostly utility integration platform has a brace of components, Avidan says. There’s a Java-primarily based software evolution kit (SDK) that exposes someone enterprise technique as an API and additionally enables users so as to add original capabilities, such as analytics or safety. This JDK generates a criterion Java object that subsist served from the IBM i server or some other atmosphere with a JVM. The runtime ambiance instantiates what’s referred to as a microservices “mesh” that enables the functions to subsist invoked. There’s likewise a administration console that lets administrators handle what’s occurring.

OpenLegacy is gaining traction with its microservice offering within the banking and coverage box, Avidan says. The business has diverse valued clientele worldwide which are exposing IBM i and mainframe company processes as microservices by the employ of leisure APIs.

“It allows them to create digital providing and digital interfaces that drag facts profile their mainframe, and doing it without using any middleware,” Avidan says. “so they don’t requisite MQ or any of those things. It’s an immediate connection. It’s scalable and it performs very well.”

There’s nothing stopping IBM i and mainframe purchasers from establishing their personal microservices. “It’s now not unattainable to do. you could fully create APIs the usage of these thoughts,” Avidan says. “The difficulty with it is entire that work is guide.”

To secure a headstart on microservices, many agencies pay techniques integrators to generate APIs for them, which they can then expose as piece of a microservices structure. while that can likewise work, it doesn’t travel away the customer with the capability to alternate and adapt these microservices going ahead, Avidan says.

“What you really requisite isn't a person to travel and construct it for you,” he says. “What you really requisite and what their valued clientele recognize, is you want that muscle of creating the functions yourselves, as a result of it truly is a core competency nowadays. in case you’re now not able to stream hasty and aid the company when it comes to developing those functions, then that’s a problem . . . . You want the muscle and the most advantageous way to try this is to believe a set of rig and know-how to Do it your self.”

OpenLegacy isn’t the handiest dealer concentrated on IBM i APIs and microservices. Rocket application likewise has an offering in this area, known as Rocket API, whereas LANSA additionally has the capability to generate RESTful functions with its “low code” construction ambiance. Rogue Wave application‘s Zend subsidiary is likewise chasing the market with its XML Toolkit, and there are absolutely others.

Whichever rig and ideas you employ to generate microservices, there’s a pretty imposing probability that microservices will play a greater common office in IBM i utility modernization within the foreseeable future.

related stories

visual LANSA Goes Low-Code With tall Tech update

One IBM i Route Into the API economy

Goodbye, Java commercial enterprise version. hi there, Jakarta EE

Don’t subsist the Eeyore of Digital growth, OpenLegacy Says

What’s Legacy Now: WSDLs and stored processes

For OpenLegacy, Modernization Is entire in regards to the APIs


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C9530-519 IBM API Connect v. 5.0.5 Solution Implementation

Study lead Prepared by Killexams.com IBM Dumps Experts


Killexams.com C9530-519 Dumps and actual Questions

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C9530-519 exam Dumps Source : IBM API Connect v. 5.0.5 Solution Implementation

Test Code : C9530-519
Test appellation : IBM API Connect v. 5.0.5 Solution Implementation
Vendor appellation : IBM
: 74 actual Questions

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Thank You killexams.Com for complete assist via offering this question bank. I scored seventy eight% in C9530-519 Exam.


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I wanted to believe certification in Test C9530-519 and i am getting it with killexams. impeccable pattern of latest modules facilitate me to strive entire the 38 questions in the given timeframe. I rating more than 87. I should content that I could in no way ever believe done it on my own what I became capable of obtain with killexams.Com . Killexams.Com provide the cutting-edge module of questions and cowl the related topics. Thanks to killexams.Com .


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just surpassed the C9530-519 exam with this braindump. i can affirm that it is 99% valid and includes entire this years updates. I handiest got 2 question wrong, so very excited and relieved.


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IBM API Connect v. 5.0.5 Solution Implementation

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VMworld Europe 2018 tidings Bits | killexams.com actual questions and Pass4sure dumps

November 6th, 2018 by Adam Armstrong

Our News Bits is a roundup that typically covers tidings pieces that are just miniature in content, not in impact. This gives content room to breath even if it comes in less than what they normally cover. This year at VMworld Europe in Barcelona, there were several announcements that either miniature or would potentially secure wiped out by some of the larger announcements so they believe collected them here. Announcements near from companies such as VMware, Dell Technologies, IBM, AWS, Kubernetes, and Heptio.

VMware To Acquire Heptio

In order to bolster its Kubernetes solutions, VMware entered a definitive agreement to acquire Heptio. Heptio was founded by two of the creators of Kubernetes and aims to serve companies deploy and operationalize Kubernetes. The transaction is expected to proximate in VMware's fiscal fourth quarter 2019, theme to customary closing conditions, including regulatory approvals.

Heptio

VMware Unveils VMware Blockchain & Project Dimension

VMware announced original technologies in beta including its Blockchain and Project Dimension. For its Blockchain technology, VMware partnered with Dell Technologies, Deloitte and WWT. The areas this technology set out to address are: 

  • True decentralized trust, with the competence to deploy nodes across multiple different cloud environments including on-premises managed nodes;
  • Robust day-two operations, supported by VMware Blockchain’s availability as a managed SaaS platform, lone pane of glass management interface and enterprise monitoring and auditing tools
  • Developer-friendly offerings, which includes tooling for smart condense CI/CD; affluent developer guides, API documentation and sample code and an open source foundation in Project Concord.
  • Also in beta is the company’s Project Dimension (VMware is partnering with Dell EMC and Lenovo on this project) which they state will enable customers to consume infrastructure that physically resides in data centers, fork or edge sites through a cloud-managed, as-a-Service approach.

    VMware Introduces Cloud Foundation 3.5

    VMware announced the latest version of its integrated hybrid cloud offering, Cloud Foundation 3.5. original features and capabilities include:

  • Increased Flexibility:
  • VMware will validate this latest release of VMware Cloud Foundation with Dell EMC vSAN Ready Nodes on Dell EMC PowerEdge MX, with increased integration expected over time. PowerEdge MX is Dell EMC’s kinetic infrastructure, which was designed for the software-defined data center, with customizable modules of compute, storage and networking. A proven, complete hyperconverged software solution, VMware Cloud Foundation offers ecosystem support for entire VMware vSAN ReadyNodes.
  • Support for composable features will subsist delivered through abysmal integration between VMware SDDC Manager and HPE Synergy Composer which is powered by HPE OneView. Customers can now dynamically compose physical resources using the VMware Cloud Foundation user interface to meet the needs of applications running on Workload Domains, thus increasing overall operational efficiency and automation.
  • Expanded Customer employ Cases:
  • Integration with VMware NSX-T 2.3 – which simplifies the implementation of network and security tasks around Kubernetes – will enable support for containerized and cloud-native application employ cases. This includes support for VMware PKS, the enterprise-grade Kubernetes solution.
  • Previously, VMware Cloud Foundation 3.0 introduced support for multi-site employ cases including the employ of vSAN Stretched Clusters as well as the quick and simple movement of workloads across private and public clouds using NSX Hybrid Connect.
  • Latest VMware Product Innovations:
  • VMware Cloud Foundation 3.5 will comprise support for recent VMware product releases including vSphere 6.7 Update 1, featuring simple and efficient management at scale, built-in security for applications, infrastructure, data and access as well as increased support for artificial intelligence (AI) and ML workloads, among other capabilities. Integration with VMware NSX-T 2.3 will enable support for container environments as well as a simplified workflow and a original search interface to allow administrators to search for objects and events within the NSX-T system and discharge operations quickly. The original release will likewise feature VMware vRealize Automation 7.5 with broadened developer employ case support through VMware PKS integration for Kubernetes cluster management. VMware vRealize Operations 7.0 will enable customers to adopt a ‘self-driving’ approach to monitoring and managing their data centers and cloud environments.
  • VMware Cloud Foundation

    IBM & VMware forward Partnership

    IBM announced that it was expanding its partnership with VMware to enable a fully automated, highly available managed global cloud architecture for mission-critical VMware workloads designed to serve enterprises prevent downtime for cloud applications and automate failovers within an IBM Cloud region. The two companies announced more joint technology such as the integration of IBM Cloud for VMware Solutions with IBM Cloud Kubernetes Service, VMware vRealize Operations is now available on IBM Power Systems, and VMware will now employ Watson for improving customer service. 

    VMware IBM solutions

    AWS & VMware Accelerate Roll Out Of VMware Cloud on AWS

    AWS announced that it would subsist working with VMware to accelerate the roll out of VMware Cloud on AWS in both Europe and the United States. The companies announced that in the fourth quarter of 2018 original regions would subsist forthcoming including AWS EU (Ireland), AWS West (N. California) and AWS East (Ohio). 

    VMware Cloud on AWS

    VMware Introduces original Innovations For Workspace ONE

    VMware introduced original innovations and capabilities to its Workspace ONE platform. These include:

  • Workspace ONE Intelligence Automation Connector: Workspace ONE Intelligence, a cloud-based service that provides insights and analytics with automated remediation capabilities across a digital workspace environment, can now subsist leveraged with third-party systems via the Workspace ONE Intelligence Automation Connector. building on existing out-of-box connectors to Slack and ServiceNow, the connector provides a way for customers to connect automated actions and notifications created in Workspace ONE Intelligence with their existing systems such as service desk platforms. 
  • Workspace ONE Sensors for macOS: Workspace ONE Sensors enable customers to query any system mention from silicon to software (firmware, BIOS, peripherals, apps, etc.) for visibility and compliance enforcement. This capability was previously announced for Windows 10 and today VMware is announcing the common availability of Sensors for macOS.
  • Dell Provisioning for Workspace ONE now with Dell ProDeploy Client Suite: Dell Provisioning for VMware Workspace ONE is a service that preconfigures devices in the factory and ships them directly to halt users for a ready-to-work relish with entire Windows applications pre-loaded and available immediately to users on first boot. Today, VMware and Dell announced this service is now piece of Dell ProDeploy Client Suite, which offers comprehensive deployment services that complement the provisioning service. This service can subsist purchased together with a original Workspace ONE license at a special combined rate as piece of ProDeploy.
  • Integration with Flexera AdminStudio for simple Win32 App Publishing: Customers can now publish existing desktop applications directly from Flexera AdminStudio into their Workspace ONE catalog, avoiding costly and knotty re-packaging of Win32 apps.
  • General Availability of Instant Clones and App Volumes for Horizon 7 on VMware Cloud on AWS: VMware Cloud on AWS now supports Horizon 7 Instant Clones, App Volumes and User Environment Manager for just-in-time provisioning of stateless virtual desktops. Customers can spin up virtual desktops at an impartial rate of 1-2 seconds per desktop, and instant clones reduce storage consumed by up to 80 percent.
  • Consolidated Monitoring and Management: VMware is announcing integration of Horizon 7 with the Horizon Cloud Service. This integration provides unified visibility, health monitoring and helpdesk services for Horizon 7 deployments both on VMware Cloud on AWS and on premises infrastructure.
  • Automated Installation of Horizon 7 on VMware Cloud on AWS: VMware is previewing the competence to automate several steps of the Horizon 7 installation on VMware Cloud on AWS via the Horizon Cloud Service integration. This will greatly reduce the install time for Horizon 7 on VMC on AWS with streamlined UI for installation.
  • VMware Workspace ONE Boxer: Workspace ONE Boxer now supports G-Suite corporate email, enabling organizations looking to leverage Google to manage email.
  • Workspace ONE Intelligence for Workspace ONE Secure Productivity Apps: VMware has built connectors to Workspace ONE Intelligence so organizations can secure insights into app engagement, crash rates, login times, user behavior, and more.
  • Support for Samsung DeX: Users can now access the Workspace ONE family of apps both on-the-go on their mobile device and connect their Galaxy S8, Note8, S9, Note9 and Tab S4 to a monitor, keyboard and mouse for a desktop computing relish with Samsung DeX. Employees can employ their phone to open the VMware apps, employ keyboard shortcuts, and drag and drop files entire on the astronomical screen.
  • Workspace ONE


    Relation of Middleware to Microservices, Docker, and Cloud-Native Architectures | killexams.com actual questions and Pass4sure dumps

    The IT world is moving forward fast. I wrote about Microservices and whether that spells the death of the Enterprise Service Bus and other middleware a year ago. This article is a “follow-up” and update to contend how apposite microservices, containers, and a cloud-native architecture is for middleware. It is unbelievable how hasty enterprises of entire sizes are moving forward with these topics!

    Today, in June 2016, many enterprises believe already adopted containers and cloud-native architectures or are adopting them. This topic is likewise getting more and more apposite for middleware vendors. Therefore, let’s Do an update about the status quo of microservices, containers, and cloud-native architectures in the middleware world.

    Key takeaways of this article:

  • A cloud-native architecture enables elastic and agile development, deployment, and operations of entire kinds of software
  • Modern middleware leverages containers, microservices, and a cloud-native architecture
  • Packaging and isolation in containers is not enough, there are many more concepts to understand and leverage
  • The Momentum of Microservices and Docker

    The main goal of microservices and containers is a shorter time to results and increased flexibility for development, deployment, and operations of software. Why has it received so much momentum in the terminal few months? Because almost any enterprise beyond tech giants such as Amazon, Google, Facebook, or Netflix struggles here significantly.

    Microservices is enjoy a Service-oriented Architecture (SOA): It is an architectural concept and vendor respectively technology independent. Therefore, no pellucid criterion definition or specification is available. You always requisite to define what you subsist valuable with the term microservices before you contend it with others. Everybody has a different definition. For this article microservices are services that are developed, deployed, and scaled independently. They are not specific to any technology and can offer business or integration logic. Several vendors offer specific support for building microservices (as they will espy later in the article) but basically it is not related to any technology.

    While the discussion about microservices architectures started with a Famous article by Martin Fowler back in 2014 the actual widespread implementation was intially started by Netflix which open-sourced plenty of frameworks for implementing microservices. They will near back to many of these later, and a lot of the content in the article is inspired by Netflix’ awesome and detailed tech blog posts.

    A Container is conditional on the operating system it runs on. Containers employ the resource isolation features of the Linux kernel such as kernel namespaces (isolates an application’s view of the operating environment including process trees, network, user IDs and mounted file systems) and cgroups (provides resource limiting, including the CPU, memory, shroud I/O and network), and a union-capable file system such as aufs and others. This allows independent containers to Run within a lone Linux instance, avoiding the overhead of starting and maintaining virtual machines.

    Key differentiators of containers compared to VMs are packaging, portability, created as apt for purpose and therefore lower footprint and startup times, repeatability, better resource utilization of servers, and better integration into the total evolution ecosystem (such as Continuous Integration/Delivery lifecycle). Containers with your applications can subsist built, ship, and Run anywhere: on your laptop, on test systems, in pre-production, and in production systems. This is entire without changes to any content of the container and the application inside.

    In perverse to microservices, there are several specific implementations of container software. Most of the momentum these days is behind Docker. Its ecosystem is growing daily. This will definitely consolidate again in the coming years, but it will likewise become much more age than it is today. Other examples for container technologies are CoreOS’ rkt (Rocket) or Cloud Foundry’s Garden / Warden. Notice that entire these container concepts are nothing new, but leveraged in UNIX systems for years, for example, seize a glance at Solaris Zones.

    Other commercial examples are VMware Photon Platform / vSphere Integrated Containers or Microsoft’s Windows Server containers / Hyper-V containers or VMware Thinapp.

    A worthy introduction to Docker—and containers in general—can subsist found here: Docker, the Future of DevOps. "The Open Container Initiative (OCI)"—an Open criterion for Containers—was created in mid-2015 to establish a global, vendor-agnostic standard. Many software vendors are piece of the committee, including Amazon, Intel, Docker, Facebook, IBM, Microsoft, Oracle, Pivotal, and VMware, to appellation a few of the many official supporters.

    A Cloud-Native Architecture

    Microservices and containers with their independent services and elastic deployment are just the foundation. The following sections contend additional requirements for a cloud-native architecture. tickle subsist conscious that a lot of examples for available frameworks are listed in every section but they are not intended to subsist complete lists.

    A cloud-native architecture enables:

  • Scalable services
  • Resiliency
  • High uptime
  • Automatic load balancing and failover
  • DevOps
  • Usage of public cloud platforms but likewise private or hybrid
  • Vendor-agnostic deployment
  • Faster upgrades
  • Higher utilization and lower infrastructure cost
  • Shorter time to results and increased flexibility
  • With entire this you can focus on innovation and solving your business problems instead of spending your time with plenty of technical issues in ”static and inexorable legacy architectures”. subsist conscious that cloud-native does not subsist valuable that you can deploy software just in the public cloud. Private or hybrid cloud deployments are likewise contained in the definition of cloud-native!

    Continuous Integration and Continuous Delivery

    Continuous Integration (CI) and Continuous Delivery (CD) require a lot of different things to automatically build, deploy and Run microservices. This includes scripting for automatic test and deployment, internal and external service discovery and distributed configuration of microservices and containers.

    Scripting / Automatic Test and Deployment

    This is what CI / CD began with several years ago. You build, test and deploy services automatically. This improved productivity, efficiency, and product quality. The following frameworks and tools are used to create scripts for enabling CI / CD:

    Service Discovery

    We believe to work with plenty of different independent services and a huge number of distributed instances of each service. An internal service discovery framework is used to locate services for the purpose of load balancing and failover. Therefore, a service provider registers to the registry when it is available. Consumers learn the service from the registry to subsist able to connect and consume it.

    A lot of options are available for using a service registry, such as Netflix’ Eureka, Apache Zookeeper, Consul, Etcd. Many of the later discussed frameworks likewise comprise a service registry implicitly. It is not always simple to classify each of the frameworks in this article for just one component. Often the features are overlapping.

    In addition to an internal service discovery, an external service discovery framework is used to expose internal microservices to the outside world (which can subsist the public internet, just partners or other internal departments). This is often called an “Open API initiative” or “API Management” and offers features such as a portal for simple packaging and self-provisioning of APIs (i.e. microservices in this case), monetization and a gateway for security enforcement (e.g. authentication, authorization, throttling). Some apposite options for API Management are:

  • JBoss apiman: Open source, low-level coding framework, can leverage other Red Hat JBoss projects
  • Apigee: unadulterated player in the API Management market
  • Akana (former SOA Software): unadulterated player in the API Management market
  • CA’s Layer7: tenacious security gateway, can leverage other CA products
  • TIBCO’s Mashery: tenacious portal and community, can leverage other TIBCO products, including TIBCO API Exchange Gateway for advanced security and routing requirements
  • See the following article for more details about employ cases and product categorization for “Open API”: API Management as a Game Changer for Cloud, astronomical Data, and IoT.

    Dynamic Distributed Configuration Management

    Numerous agile and dynamic changes in a cloud-native architecture require that you cannot manage configuration manually anymore when adopting distributed microservices and containers. Services are designed to fail, respawn and secure updated frequently. Therefore, you requisite automated configuration to setup original containers on distributed nodes quickly and automatically. Some required features:

  • Make changes dynamically at runtime (e.g. change service behavior, database connection or log plane of a specific instance)
  • Change multi-dimensional properties based on a knotty request or deployment context
  • Enable / disable features based on the request context (e.g. pomp of a specific user interface for a specific region or device)
  • Change conduct of cloud design patterns (see the later section “Resiliency Design Patterns”)
  • Two apposite frameworks for dynamic distributed configuration management are Netflix’ Archaius and Spring Cloud Config. These frameworks employ polling and callback mechanisms for dynamic configuration as the traditional propel concept (to specific IP addresses and hosts) does not work in elastic and ever changing cloud-native environments.

    Scalability and Failover

    A key feature of a cloud-native architecture is the competence of elastic scaling depending on load and SLAs. This requires advanced cluster management, server-side and client-side load balancing, and resilient design patterns.

    Cluster Management (Scheduling and Orchestration)

    Flexible evolution and deployment is a key odds of microservices and containers. original features are added and frail ones pruned. Zero-downtime and failover are required but you likewise requisite efficient usage of your resources.

    A cluster manager is designed for failover and tall scalability. It is used to automatically orchestrate container scheduling and managing hosts including the application of rules and constraints to each host.

    Various cluster management frameworks are already available especially for Docker. The following examples are some of the most apposite (and discussed in more detail here):

  • Docker Swarm: A Docker-native framework, uses the Docker API, can easily leverage other Docker frameworks such as Docker Compose, it has to subsist combined with other frameworks such as etcd, Consul or ZooKeeper
  • CoreOS Fleet: Low-level framework built directly on systemd, often used as “foundation layer” for higher-level solutions
  • Kubernetes: Open sourced by Google and adopted by many other companies including IBM, Red Hat and Microsoft. Kubernetes is a worthy amalgamate of sophisticated features and relatively simple installation / configuration. In contrast to some other sophisticated cluster managers you can even set it up on your local machine for evolution with just a lone “Docker run” command. If you install it on a cloud platform it leverages the platforms specific features, for illustration on AWS it uses Amazons ELB while it leverages Googles LB on Google Cloud Platform.
  • Mesos’ Marathon: An orchestration framework on top of the powerful (but complex) Apache Mesos, a “distributed systems kernel.” Mesos is intended for great scale and multi-use of different frameworks on top of it (e.g. Apache Hadoop, containers via Marathon, batch processing via Chronos).
  • Load Balancing (Server-side and Client-side)

    Servers near and travel in a cloud-native architecture. Load balancing needs to become much more sophisticated (and therefore complex) with microservices and containers. Just distributing load based on well-known IP addresses and hosts is not enough anymore. Concepts such as weighted load balancing based on several factors enjoy traffic, resource usage or error conditions provide superior resiliency.

    Traditional server-side load balancing is used for years to divide network or application traffic across a number of servers and to expand capacity and reliability of applications. Well-known examples are F5’s Big-IP products or Amazon AWS Elastic Load Balancing (ELB) service. They are used for so-called edge services i.e. external service consumers respectively end-user web traffic.

    In addition, many microservices architectures comprise client-side load balancing to avoid unnecessary inter-service communication. Therefore frameworks such as Netflix Ribbon “embed” the client-side LB into each microservice. This reduces the communication to one hop instead of two hops for service communication between internal microservices, so-called mid-tier or core services.

    Resilience Design Patterns

    All the original concepts for a cloud-native architecture require original design patterns to offer a common repeatable solution to commonly occurring problems. Resilience design patterns prevent cascading failures, allow failing hasty and recover rapidly by implementing logic for latency tolerance, fault tolerance, and failback logic.

    One of the most well-known patterns is the Circuit Breaker which is used to detect failures and encapsulate logic for preventing a failure to reoccur constantly (during maintenance, temporary external system failure or unexpected system difficulties). The Akka framework has a nice explanation and implementation of this pattern. Netflix Hystrix likewise offers sophisticated implementations to enable latency and fault tolerance in distributed systems. “Application Resiliency Using Netflix Hystrix” is a worthy post by the Ebay Tech Blog explaining how they leveraged it to realize cloud patterns.

    There are plenty of cloud patterns emerging (and more will near in the future). For example, the Kubernetes Tech Blog explains “Patterns for Composite Containers” such as “Sidecar Containers,” “Ambassador Containers,” or “Adapter Containers”.

    Container Solution Stacks

    As you believe seen in the above sections, there are plenty of frameworks and implement chains available. The number is growing every month. This might remind many readers of Apache Hadoop and its unbelievably growing ecosystem with age and less age frameworks. The same is true for containers today. Therefore some “solution stacks” are emerging to serve getting started and managing entire the different challenges with one lone (and commercially supported) container stack—well known as “distribution” in the Hadoop environment. Examples for container solution stacks are Tectonic (a Kubernetes + CoreOS Platform), Docker Datacenter, Mantl or HashiCorp’s Nomad. More will probably arise in the next months.

    We believe now discussed several concepts, frameworks, and patterns to realize a cloud-native architecture leveraging containers and microservices. However, you likewise requisite some benign of cloud platform where you deploy and Run entire this on.

    Private, Public, or Hybrid Cloud-Native Platform

    A cloud-native platform is a private, public or hybrid cloud which offers a self-service and agile cloud infrastructure (Infrastructure-as-a-Service, IaaS). On top of a cloud infrastructure, you requisite a platform (Platform-as-a-Service, PaaS) where you can deploy and Run your containers. The following picture shows the key characteristics of both:

    image

     

    Most enterprises select available age offerings such as Amazon Web Services, Microsoft Azure or open source OpenStack for IaaS and PaaS platforms such as Red Hat’s OpenShift (which is based on Docker and Kubernetes) or Cloud Foundry (offered open source and enhanced by several vendors such as IBM with Bluemix or Pivotal).

    The key odds of using an existing PaaS platform is the out-of-the-box support for most requirements of a cloud-native architecture such as elastic scalability, container orchestration, dynamic service discovery, load balancing, or dynamic distributed configuration management. Thus, you should evaluate different PaaS platforms before deciding to build your own one based on entire the different frameworks discussed above. Most platforms leverage one or the other of these frameworks implicitly.

    After discussing entire the requirements and available frameworks for a cloud-native architecture in much detail let’s now seize a glance at how entire this is related to middleware.

    Relation to Middleware (Integration, API Management, Event Processing)

    Before going on, I believe to clarify: Microservices, containers, and cloud-native architectures are not suitable for entire scenarios. Remember: These interlard a lot of original concepts and complexity. “Microservices are not a free lunch”!

    I will focus especially on integration platforms in the following paragraphs because integration is key for success in most middleware projects. Due to trends such as cloud, mobile, astronomical data and Internet of Things you cannot survive without imposing integration in IT architectures.

    An Enterprise Service Bus (ESB) is used in many enterprises as a strategic integration platform between custom applications, commercial-off-the-shelf software, legacy applications, databases, and cloud services. However not every ESB deployment needs to subsist cloud-native. In mission-critical deployments at banks, retailers, airlines, telcos, and others a central ESB with tall performance, tall availability, and fault-tolerance might still subsist the best altenative for the next few decades.

    On the other hand, an ESB is not the complex, central and heavyweight beast you might arbiter of. This might believe been true 5 to 10 years ago (and one of the reasons several SOA projects failed that time) and it might still subsist true for some vendors today. But in common (and valid for many vendors) an Enterprise Service Bus in 2016 is a mature, stable and simple to employ component, which should offer:

  • Integration
  • Orchestration and Choreography
  • APIs and business Services
  • Messaging
  • Independent Deployments
  • Scalable and Lightweight Platform
  • Automation
  • Based on your requirements you should subsist able to resolve how cloud-native you requisite to subsist and if you should leverage microservices and containers (and entire their pros and cons) or not. Select only the concepts, tools and features you really need.

    Middleware Examples

    Having said that let’s seize a glance at a few different middleware examples and how you might leverage microservices, containers and a cloud-native architecture for them:

  • Integration: Build (micro)services and APIs using the integration capabilities of the ESB; integrate and orchestrate different (micro)services (build composite services)
  • API Management: Expose, publish and monetize microservices internal or to partners and the public world via APIs.
  • Event Processing: Correlate distributed microservice events in actual time to add business value (e.g. fraud detection, cross-selling or predictive maintenance)
  • All the above middleware components

  • Require agility and flexibility
  • Control and leverage other microservices
  • Have to support microservice characteristics itself (containers, CI / CD, elastic scalability, etc.) to apt into a cloud-native architecture and to allow quick changes
  • Let’s near back to the illustration of integration platforms and the ESB. If you requisite a more flexible, cloud-native integration solution instead of a classical, more central ESB deployment then you believe three options (but Do not reliance about the branding or shortcut of the product name):

    Integration Middleware on Top of a PaaS

    This is very similar to an on-premise ESB and used for implementing “core services” i.e. central, often knotty and mission-critical services. evolution is done in the traditional IDE. However, the key incompatibility is that the solution is cloud-native i.e. it supports containers and microservices. You employ this benign of integration middleware to develop integration applications that are deployed natively onto a PaaS platform such as Cloud Foundry or OpenShift. Some vendors offer a vendor-agnostic solution where you can deploy your integration applications anywhere without relying on a specific cloud platform or vendor.

    You can develop different “cloud-native services” to subsist more agile, change quicker, and provide web scale:

  • Integration Apps and Services: Build consumable Web APIs out of backend web services enjoy ERP, CRM, order management using enterprise technologies enjoy SOAP, SAP, Oracle, IBM MQ, etc.
  • Functional Microservices: Build apps focusing on business functionality without getting into code complexity
  • API Choreography Services: Visually choreograph APIs leveraging the PaaS integration tooling (e.g. process orchestration, data mapper or connectors)
  • There are not many alternatives available on the market for building integration applications that are deployed natively onto a PaaS platform. TIBCO BusinessWorks Container Edition is a vendor-agnostic illustration supporting CloudFoundry, Docker, Kubernetes, AWS ECS, etc. JBoss Middleware Services allows the deployment of its middleware applications (including JBoss Fuse and A-MQ) onto OpenShift.

    Cloud Integration Middleware (iPaaS)

    An iPaaS Cloud Integration middleware is cloud-based, uses a web browser instead of a desktop IDE and supports the execution of integration flows, the evolution and life cycle management of integrations, the management and monitoring of application flows, governance and essential cloud features such as multi-tenancy, elasticity, and self-provisioning. iPaaS can work closely together with an on-premise ESB or integration middleware on top of a PaaS platform.

    iPaaS tooling offers intuitive web-based integration and is intended for people with some technical understanding e.g. how to create and deploy leisure services or to configure connections and policies of Open APIs. It is usually used to build “edge services”, sometimes likewise called “microflows” which might change more frequently and which are often not that mission-critical.

    Some examples for iPaaS solutions are Dell Boomi, Informatica Cloud, MuleSoft Anypoint Platform, SnapLogic, Jitterbit, or TIBCO Cloud Integration.

    A more detailed overview including the pros and cons of iPaaS can subsist found here: “iPaaS: What this cloud technology is and why it’s important”.

    SaaS Cloud Integration Middleware (iSaaS)

    This benign of SaaS solution offers an intuitive web-based user interface for the business user i.e. the “Citizen Integrator” to realize personal integration without technical scholarship according to the do-it-yourself (DIY) principle. national Integrators build original integration flows by configuring them rather than developing and building them from scratch. For instance, a business user creates an automatic rush to synchronize his data via self-service from SaaS offerings such as Salesforce or Marketo and his Microsoft outstrip sheets.

    iSaaS integrations are clearly complementary to on-premise, PaaS and iPaaS integrations. They should likewise subsist viewed as “edge services” which are not strategic and mission-critical for the enterprise–but very apposite for the specific business user. Examples for iSaaS solutions are SnapLogic, TIBCO Simplr, or IFTTT.

    Hybrid Integration Platform (HIP)

    A key for success is that you can transfer content across different platforms. Gartner calls this a Hybrid Integration Platform (HIP). Different components partake metadata, one lone IDE, and consolidated operations management. Out-of-the-box integration capabilities with API Management components (API gateway and portal) are likewise very valuable for agile development, deployment, and operations.

    For example, you might want to develop an orchestration service with a PaaS-based integration solution and want to port that to an on-premise integration platform later. Or you might want to define a leisure service (via “contract first principle”) with an iPaaS middleware with a mock for early testing and later implement it on an on-premise ESB. The same service likewise needs to subsist exposed via an API to ally or for public access.

    Some more Middleware Frameworks and Vendors

    Finally, I want to highlight some other frameworks and vendors, which might subsist apposite for realizing your cloud-native microservices but were not mentioned in the article yet:

  • WSO2 Microservices Framework for Java is a imposing illustration for a low-level coding framework based on top of the vendors open source middleware.
  • Amazon EC2 Container Service (ECS) and Google Container Engine are two examples of “Containers as a service (CaaS)” offerings which allow self-service usage of containers as SaaS solution
  • Cloud vendors such as Amazon, Microsoft, or Google are likewise middleware vendors in the meantime. For example, Amazon AWS offers services for cloud messaging (SQS and others), streaming and analytics (Kinesis), containers (ECS), microservices (Lambda) and more.
  • Plenty of other middleware vendors likewise work on cloud-native offerings. For more details espy e.g. Software AG Cloud, Talend Integration Cloud, or Oracle Cloud Platform.
  • Middleware for the Internet of Things (IoT) is another sector which grows significantly these days. For example, seize a glance at open source integration solutions such as Node-RED (based on js, open sourced by IBM) or Flogo (based on Google’s travel Programming Language, to subsist released and open sourced by TIBCO very soon). Both offer a zero-code environment with web IDE for building and deploying integration and data processing directly onto connected devices using IoT standards such as MQTT, WebSockets, or CoaP.
  • Finally, I would enjoy to mention The Cloud native Computing Foundation (CNCF) which might become much more apposite in the future for plenty of frameworks discussed in this article. The CNCF was founded to serve facilitate collaboration among developers and operators on common technologies for deploying cloud-native applications and services built on containers. Founding members included Google, Cisco, IBM, Docker, and VMware. The first two projects hosted by CNCF are Kubernetes and Prometheus.

    Microservices, Containers, and Cloud-Native Architectures Do NOT apt into Every Project…

    … but they believe a huge influence on their thinking about IT architectures. In many original projects, these concepts absolutely compose sense and create a lot of benefits such as elastic development, deployment, and operations. arbiter about the trade-offs and leverage the parts of a cloud-native architecture which compose sense for your project. Modern middleware will leverage microservices, containers, and cloud-native architectures! No matter if you seize a glance at Integration, API Management, Event Processing, Streaming Analytics, business Process Management, or any other benign of on-premise or cloud middleware.

    Thanks for reading this extensive article. I arbiter it is very apposite for entire of us, no matter if you implement custom applications or leverage middleware in your projects. As always, I appreciate any feedback and discussions via Comment, Email, Twitter, or LinkedIn.

    By the way: The content of this article is likewise discussed in a slip deck which I first presented in April 2016 at JPoint in Moscow, Russia:

    Microservices, Containers, Docker and a Cloud-Native Architecture in the Middleware World from Kai Wähner


    New Architecture of OAuth 2.0 and OpenID Connect Implementation | killexams.com actual questions and Pass4sure dumps

    1. Semi-Hosted Service Pattern

    This article describes details about a original architecture of OAuth 2.0 and OpenID Connect implementation which is categorized as "Semi-Hosted Service" pattern in “Deployment and Hosting Patterns in OAuth”.

    In the pattern, a frontend server (an authorization server and an OpenID provider) utilizes a backend service which provides APIs to serve the frontend server implement OAuth 2.0 and OpenID Connect. Authlete is a real-world illustration of such backend services. The figure below illustrates the relationship between a frontend server and a backend service (Authlete).

    The primary odds of this architecture is in that the backend service can focus on implementing OAuth 2.0 and OpenID Connect without caring about other components such as identity management, user authentication, login session management, API management and fraud detection. And, consequently, it leads to another major odds which enables the backend service (implementation of OAuth 2.0 and OpenID Connect) to subsist combined with any solution of other components and thus gives flexibility to frontend server implementations.

    2. User Authentication

    Although RFC 6749 (The OAuth 2.0 Authorization Framework) explicitly states as follows:

    The way in which the authorization server authenticates the resource owner (e.g., username and password login, session cookies) is beyond the scope of this specification.

    , most implementations provide both user authentication and authorization combinedly as a package solution because user authentication is included as a step in authorization process as illustrated below (see “3. Authentication and Authorization” in “Full-Scratch Implementor of OAuth and OpenID Connect Talks About Findings” for details). To consequence the other way around, rather, it's because it is difficult to divorce user authentication from OAuth 2.0 and OpenID Connect implementation.

    Such package solutions often offer mechanisms to customize user authentication process (e.g. editable authorization page, common interface over underlying identity management system, hooks in page transitions). However, this approach makes it difficult to adopt a original user authentication mechanism whose rush is considerably different from the ones assumed by the package solutions.

    On the other hand, Authlete has adopted the semi-hosted service pattern in order to purge the requisite itself to abstract the way of user authentication. Authlete requires only a result of user authentication and does not reliance about how the result has been obtained. Consequently, Authlete can subsist combined with any user authentication solution.

    You may marvel what is a result of user authentication. Regardless of how a user is authenticated (e.g. by ID and password, fingerprint, iris, hardware token, random table, and whatever), from a technical point of view, user authentication is a process to identify a unique user identifier. That is, a result of user authentication is a user ID.

    2.1. How to propel Out User Authentication?

    The figure below is a diagram of the Authorization Code rush defined in “4.1. Authorization Code Grant” in RFC 6749. (You can find the same figure in “Diagrams And Movies Of entire The OAuth 2.0 Flows”.)

    The client application makes an authorization request in the step (2), and the authorization server returns an authorization code in the step (6). User authentication is performed in between (2) and (6). User authentication, however, may subsist omitted if the user has already been authenticated. In either case, the authorization server has to obtain the user ID before issuing an authorization code because the user ID has to subsist associated with the authorization code.

    To propel out user authentication completely from the implementation of OAuth 2.0 and OpenID Connect, Authlete has divided the authorization rush into the following three parts:

    (a) Processing the authorization request

    (b) Authenticating the user

    (c) Making the authorization response

    and provides two divorce APIs for (a) and (c) only. Authlete does nothing for (b) and leaves it to customers.

    The point is in that the API for (c) requires a result of (b). In other words, API callers must pass a unique user identifier to the API.

    The figure below illustrates how a frontend server and a backend service (Authlete) work together. You can espy that user authentication is performed at the frontend server in the step (11) and that the user ID is passed to an Authlete's API (/api/auth/authorization/issue) in the step (12).

    Authorization Code rush + AUTHLETE 2.2. Other OAuth flows + Authlete

    Just for references.

    Implicit rush + AUTHLETE Resource Owner Password Credentials rush + AUTHLETE Client Credentials rush + AUTHLETE Refresh Token rush + AUTHLETE 3. API Management

    The growth of the API economy has attracted many companies into the market of API management. Most solutions in the market provide some mechanisms to protect APIs, including protection by OAuth 2.0 access tokens.

    Instead of incorporating functionality of OAuth 2.0 and OpenID Connect in a complicated manner, some API management solutions believe decided to delegate the functionality to external third-party solutions.

    3.1. AWS API Gateway

    One illustration is AWS API Gateway. It provides a mechanism to delegate validation of bearer tokens (such as OAuth 2.0 tokens) presented by client applications to an external authorizer. The figure below excerpted from “Enable Amazon API Gateway Custom Authorization” illustrates the mechanism.

    Custom Authorizer; mechanism to delegate validation of bearer tokens

    “Lambda Auth function” at the top position in the figure is an authorizer. The implementation of the office receives bearer tokens from API Gateway, validates them, and returns the result of the validation to API Gateway. Based on the result, API Gateway determines whether to accept the request from the client or reject it.

    The implementation of the office itself may in eddy delegate the validation to an external authorizer. The figure below is an illustration which uses Authlete as the external authorizer. Technical details about this are written in “Amazon API Gateway + AWS Lambda + OAuth”.

    Custom Authorizer using Authlete 3.2. IBM API Connect

    IBM API Connect is another example. It has OAuth implementation, but at the same time, it can delegate validation of access tokens to an external authorization server if the server supports RFC 7662 (OAuth 2.0 Token Introspection). Details are written in “Integrating third party OAuth provider” (in IBM scholarship Center).

    Note for developers:

    APIs built using IBM API Connect require a custom HTTP header, X-IBM-Client-Id, in addition to Authorization header which includes an access token in the way defined in “2.1. Authorization Request Header Field” in RFC 6750. The custom header is required even if access token validation is delegated to a third-party authorization server.

    The following is the command line excerpted from “Using the access token” (in “Tutorial: Securing an API by using OAuth 2.0” in IBM scholarship Center) (with extra line breaks added for pomp purpose only).

    curl -k -v \-H "X-IBM-Client-Id: Client_ID" \-H "Authorization: Bearer Access_Token" \-X secure 'Operation_URL'

    A certain major bank in Japan has adopted IBM's solution for its bank API, and now X-IBM-Client-Id is a piece of the bank's official API specification (example).

    4. Login Session Management

    Before an OpenID provider issues an ID token, it has to authenticate the user. However, user authentication may subsist skipped if the user has already logged in the server.

    In the semi-hosted service pattern, login session management is handled by the frontend server (OpenID provider), and the backend service does nothing for it. Because login session management is separated from OAuth and OpenID Connect implementation, developers can choose any solution for login session management (e.g. Apache Shiro) as they like.

    java-oauth-server is a imposing illustration that demonstrates login session management can subsist handled only in the frontend server. The open-source software is an implementation of authorization server and OpenID provider written in Java. It uses Authlete as the backend service.

    When they ran the OpenID Certification test for java-oauth-server for the first time, the test reported some errors related to login session management. They could unravel the errors by adding login session management to java-oauth-server. The point is that they didn't believe to change any code of the backend service (Authlete) to unravel the errors. This has proved login session management can subsist implemented in the frontend server independently of the backend service.

    5. Identity Management

    Authorization in the context of identity management and authorization in the context of OAuth are different. In the former context, authorization means “who has what permissions”. In the latter context, authorization means “who grants what permissions to whom”. They are different but in some cases you believe to handle both simultaneously. This question (“How to verify which resources each user can access with OAuth and OpenID Connect?”) and this respond in Stack Overflow clarify one of such employ cases.

    Some identity management solutions support authorization in the context of OAuth (which may compose people confused). However, the semi-hosted service pattern removes the requisite itself for identity management solutions to support OAuth.

    5.1. Shared User Database

    Suppose there is a system for music service. If they develop APIs of the system with an authorization server which is tightly combined with identity management, the system will glance enjoy the figure below. The authorization server holds both a user database and an authorization database.

    An authorization server combined tightly with identity management

    If the company running the music service expands its business and starts a healthcare service and a travel service, and if APIs of the original services are built on top of the existing system, the authorization server is shared as illustrated below even though API servers are prepared independently.

    Multiple services partake one authorization server

    Sharing an authorization server among services means that scopes (permissions) and client applications of the services are managed at one place. For example, a consent to create play lists (music service), a consent to mention to the record of carcass weight (healthcare service) and a consent to reserve hotels (travel service) are managed at one place.

    Because each service usually has a different evolution team, a different schedule, a different target for API exposure and different client applications, it is desirable to compose each service believe its own authorization server. At the same time, it is likewise desirable to partake the user pool among services. However, if an authorization server is tightly combined with identity management, it is difficult to believe multiple authorization servers for multiple services which partake the same user pool.

    On the contrary, what if there exists an authorization server which is not tied to identity management? If you believe such an authorization server, you can build a system where each service has its own authorization server but shares the same user pool with other services. The semi-hosted service pattern which clearly separates authorization from identity management enables you to adopt such a system architecture.

    Each service has an authorization server but shares one user pool with other services 5.2. Multiple Authorization Servers

    Even if the architecture where each service can believe its authorization server is beautiful, if it requires many man-hours to develop one authorization server, it is difficult to adopt the architecture. But, it is almost okay to hope that implementations (such as Authlete) which by design seize multiple authorization servers into consideration offer a mechanism to easily create and delete authorization server instances.

    As an example, the figure below illustrates the steps to create a original instance of authorization server / OpenID provider in Authlete's web console (Service Owner Console). Just three clicks. If it is simple to create an authorization server instance enjoy this, system architects can pursue a better architecture for their OAuth and OpenID Connect implementations.

    6. Extensibility

    Frontend servers are expected to behave as defined in the criterion specifications. On the other hand, backend services in the semi-hosted service pattern can design their APIs freely without any restraint.

    The following sections clarify illustration extensions that backend services may provide in order to serve developers implement authorization servers and OpenID providers.

    6.1. Access Token Creation

    In some employ cases, you may want to create access tokens using a different way than the criterion flows defined in the specification (RFC 6749). Backend service may provide an API for that purpose.

    Example

    Authlete's /api/auth/token/create API is an example. By using the API, developers can create access tokens without user interaction.

    $ curl ¥--user 4593494640:BBw0rner_-y1A6J9s20wjRCpkBvez3GxEBoL9jOJVR0 \https://api.authlete.com/api/auth/token/create \-d grantType=AUTHORIZATION_CODE \-d clientId=98282920604 \-d subject=user123 \-d scopes=photo 6.2. Extra Data of Access Token

    The following is an excerpt from “5.1. Successful Response” in RFC 6749.

    {"access_token":"2YotnFZFEjr1zCsicMWpAA","token_type":"example","expires_in":3600,"refresh_token":"tGzv3JOkF0XG5Qx2TlKWIA","example_parameter":"example_value"}

    This shows a possibility that non-standard parameters such as example_parameter may subsist returned when an access token is issued. However, there is no standardized way to associate arbitrary data enjoy example_parameter with an access token.

    Backend services in the semi-hosted service pattern can provide a mechanism to associate arbitrary data with an access token without needing to add proprietary specifications to frontend servers.

    Example

    properties request parameter of some Authlete APIs is an example. By passing an array of key-value pairs via the request parameter, developers can associate arbitrary data with access tokens.

    The following is an illustration of /api/auth/authorization/issue API convoke with the properties request parameter.

    $ curl \--user 4593494640:BBw0rner_-y1A6J9s20wjRCpkBvez3GxEBoL9jOJVR0 \https://api.authlete.com/api/auth/authorization/issue \-H 'Content-Type:application/json' \-d "{\"ticket\":\"xKdGvPyPkLJRkmP6MSAJ1wISBmdnSbPG8pFzgTdZh4U\",\"subject\":\"user123\",\"properties\":[{\"key\":\"example_parameter\",\"value\":\"example_value\"},{\"key\":\"hidden_parameter\",\"value\":\"hidden_value\",\"hidden\":true}]}" 6.3. Operations on a User-Client Basis

    In order to enable a user to revoke permissions given to client applications, the service has to pomp client applications to which the user has given permissions, let the user select client applications, and delete entire the access tokens issued to the selected client applications by the user.

    Some authorization server implementations may provide UI for the purpose. On the other hand, backend services in the semi-hosted service pattern would seize a different approach - provide APIs instead of UI.

    Example

    Developers can support the employ case above by using the following Authlete APIs.

  • /api/client/authorization/get/list
  • /api/client/authorization/delete
  • /api/client/authorization/update
  • 6.4. Record of Granted Permissions

    When a client application wants original permissions in addition to the ones it already has, it sends an authorization request to the authorization server again. As a response to the request, the authorization server will recur an authorization page which includes the list of permissions requested by the client application.

    A simple implementation will list entire the permissions in the authorization page. On the other hand, a user-friendly implementation may list the original permissions only.

    To implement the user-friendly authorization page, the authorization server has to recall sets of permissions granted to client applications by users. It should subsist illustrious that the records of granted permissions cannot subsist deleted even after entire the associated access tokens expire. Otherwise, permissions would subsist displayed to users again if an authorization request is made after entire access tokens expire.

    Some authorization server implementations may provide UI for the purpose. On the other hand, backend services in the semi-hosted service pattern would seize a different approach — provide APIs instead of UI.

    Example

    Developers can support the employ case above by using the following Authlete APIs. Note that these APIs work on dedicated servers only (don't work on the shared server, api.authlete.com).

  • /api/client/granted_scopes/get
  • /api/client/granted_scopes/delete
  • Summary

    This article explained a original architecture that, instead of providing an authorization server and OpenID provider itself, provides technical components as Web APIs with which developers can develop authorization servers and OpenID providers. This architecture has been named “Semi-Hosted Service Pattern”.

    This architecture draws a pellucid line between an implementation of OAuth 2.0 / OpenID Connect and other technical components such as user authentication and identity management. I hope developers who quest for better system architectures will notice the advantages of the semi-hosted service pattern.

    Thank you for reading this long article to the end.



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    References :


    Box.net : https://app.box.com/s/zaiqe6tcqwbv0lpnm0n6envncppgodzx
    zoho.com : https://docs.zoho.com/file/67jzbfb1b09d29d2746d9aa666290a1f0c733






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