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

Test Code : C9530-519
Test name : IBM API Connect v. 5.0.5 Solution Implementation
Vendor name : IBM
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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 true Questions and Pass4sure dumps

right here assistance will back IBM Bluemix statistics relate consumers of the statistics Load rest API to port to the IBM Watson records API information flows carrier.

evaluation of pastime JSON vs records stream JSON

At a unreasonable stage, the pastime JSON and statistics circulate JSON constructions achieve a generally equivalent effect, albeit in a a Little 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 accelerate definition. many of the aspects are not obligatory and default behaviour happens if they enact not exist.

activity inputDocument structure:

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

despite the fact, the facts accelerate 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 depict how the facts is processed. The equal thought exists in records flows, apart from there isn't any necessity for the metadata definition, and sources and pursuits are just described as binding nodes as Part 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 comprehend input and output port definitions with IDs which are equivalent to statistics units in actions.

Binding node examples

the first illustration has an smooth connection to a source database desk. The connection is referenced without deliberate in the binding node (here is in the supply component to endeavor json) and the interaction homes are a Part of the connection region (whereas in endeavor json, they are in a separate “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 smooth 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. like 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 see Getting everything started > records Flows within the Watson information API documentation.

API equivalents

right here tables prove 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 see Documentation > data Flows in the Watson facts API documentation.


Modernizing IBM i Apps with Microservices | killexams.com true 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 betray 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 commerce common sense as APIs via a microservices architecture.

Microservices refers to a application progress technique whereby purposes are damaged down into dissimilar self-contained accessories and served via APIs in a loosely coupled but coordinated method. The leading knowledge 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 abominable 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 distinguished distinctions that set microservices, including using lighter weight API protocols reminiscent of leisure (in its residence of soap and XML) and the employ of containerization technologies like Kubernetes and Docker.

whereas microservices had been within the information a bit, they’re nevertheless rather modern and there is loads of labor being completed in the meanwhile to enhance the tooling that businesses can employ to build and expose their personal microservices. A simultaneous 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 modern 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 Part of their efforts to re-architect current applications.

To obtain certain, there are a number of studies of corporations adopting microservices applied sciences and strategies to profit extra cost from legacy programs. In its simultaneous whitepaper “How APIs Can Modernize Legacy programs,” API administration enterprise MuleSoft discusses how several tremendous corporations like Siemens and Mount Sinai fitness rig re-architected enterprise approaches housed in legacy techniques like 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 discover 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 hurry 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 modern Jersey-based mostly commerce 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 commerce 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 couple of components, Avidan says. There’s a Java-primarily based software progress kit (SDK) that exposes someone enterprise technique as an API and additionally enables users so as to add modern capabilities, such as analytics or safety. This JDK generates a standard Java expostulate 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 also 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 commerce has diverse valued clientele worldwide which are exposing IBM i and mainframe company processes as microservices by the employ of rest APIs.

“It allows them to create digital providing and digital interfaces that draw facts profile their mainframe, and doing it without using any middleware,” Avidan says. “so they don’t necessity 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 hardship with it is everything that labor is guide.”

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

“What you really necessity isn't a person to Go and construct it for you,” he says. “What you really necessity 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 expeditiously and aid the company when it comes to developing those functions, then that’s a problem . . . . You want the muscle and the most beneficial routine to try this is to believe a set of rig and know-how to enact it your self.”

OpenLegacy isn’t the handiest dealer concentrated on IBM i APIs and microservices. Rocket application also 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 also 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 sound probability that microservices will play a greater accepted duty in IBM i utility modernization within the foreseeable future.

related stories

visual LANSA Goes Low-Code With lofty 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 everything in regards to the APIs


IBM Opens Up collection of security, AI and Cloud Initiatives | killexams.com true Questions and Pass4sure dumps

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Killexams.com C9530-519 Dumps and true Questions

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

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

No concerns while getting ready for the C9530-519 examination.
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. flawless pattern of latest modules facilitate me to strive everything the 38 questions in the given timeframe. I rating more than 87. I should utter that I could in no artery 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% sound and includes everything this years updates. I handiest got 2 question wrong, so very excited and relieved.


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VMworld Europe 2018 word Bits | killexams.com true questions and Pass4sure dumps

November 6th, 2018 by Adam Armstrong

Our News Bits is a roundup that typically covers word pieces that are just petite 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 petite or would potentially net 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 aid companies deploy and operationalize Kubernetes. The transaction is expected to near in VMware's fiscal fourth quarter 2019, matter to customary closing conditions, including regulatory approvals.

Heptio

VMware Unveils VMware Blockchain & Project Dimension

VMware announced modern 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, sole pane of glass management interface and enterprise monitoring and auditing tools
  • Developer-friendly offerings, which includes tooling for smart compress CI/CD; moneyed 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, branch 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. modern 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 back for everything VMware vSAN ReadyNodes.
  • Support for composable features will subsist delivered through deep 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 back for containerized and cloud-native application employ cases. This includes back for VMware PKS, the enterprise-grade Kubernetes solution.
  • Previously, VMware Cloud Foundation 3.0 introduced back for multi-site employ cases including the employ of vSAN Stretched Clusters as well as the quick and smooth movement of workloads across private and public clouds using NSX Hybrid Connect.
  • Latest VMware Product Innovations:
  • VMware Cloud Foundation 3.5 will comprehend back 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 back for ersatz intelligence (AI) and ML workloads, among other capabilities. Integration with VMware NSX-T 2.3 will enable back for container environments as well as a simplified workflow and a modern search interface to allow administrators to search for objects and events within the NSX-T system and perform operations quickly. The modern release will also feature VMware vRealize Automation 7.5 with broadened developer employ case back 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 further 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 aid enterprises avert 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 modern regions would subsist forthcoming including AWS EU (Ireland), AWS West (N. California) and AWS East (Ohio). 

    VMware Cloud on AWS

    VMware Introduces modern Innovations For Workspace ONE

    VMware introduced modern 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. structure on existing out-of-box connectors to Slack and ServiceNow, the connector provides a artery 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 refer 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 sojourn users for a ready-to-work tang with everything Windows applications pre-loaded and available immediately to users on first boot. Today, VMware and Dell announced this service is now Part of Dell ProDeploy Client Suite, which offers comprehensive deployment services that complement the provisioning service. This service can subsist purchased together with a modern Workspace ONE license at a special combined rate as Part of ProDeploy.
  • Integration with Flexera AdminStudio for smooth Win32 App Publishing: Customers can now publish existing desktop applications directly from Flexera AdminStudio into their Workspace ONE catalog, avoiding costly and tangled 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 medium 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 net 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 tang with Samsung DeX. Employees can employ their phone to open the VMware apps, employ keyboard shortcuts, and drag and drop files everything on the broad screen.
  • Workspace ONE


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

    The IT world is piteous 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 discuss how apposite microservices, containers, and a cloud-native architecture is for middleware. It is unbelievable how expeditiously enterprises of everything sizes are piteous 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 also getting more and more apposite for middleware vendors. Therefore, let’s enact 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 resilient and agile development, deployment, and operations of everything 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 last few months? Because almost any enterprise beyond tech giants such as Amazon, Google, Facebook, or Netflix struggles here significantly.

    Microservices is like a Service-oriented Architecture (SOA): It is an architectural concept and vendor respectively technology independent. Therefore, no pellucid standard definition or specification is available. You always necessity to define what you imply with the term microservices before you discuss 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 proffer commerce or integration logic. Several vendors proffer specific back for structure microservices (as they will see later in the article) but basically it is not related to any technology.

    While the discussion about microservices architectures started with a renowned 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 particular tech blog posts.

    A Container is relative 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, block I/O and network), and a union-capable file system such as aufs and others. This allows independent containers to race within a sole Linux instance, avoiding the overhead of starting and maintaining virtual machines.

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

    In contrary 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 also become much more develope than it is today. Other examples for container technologies are CoreOS’ rkt (Rocket) or Cloud Foundry’s Garden / Warden. Notice that everything these container concepts are nothing new, but leveraged in UNIX systems for years, for example, win a contemplate 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 august introduction to Docker—and containers in general—can subsist create here: Docker, the Future of DevOps. "The Open Container Initiative (OCI)"—an Open standard for Containers—was created in mid-2015 to establish a global, vendor-agnostic standard. Many software vendors are Part of the committee, including Amazon, Intel, Docker, Facebook, IBM, Microsoft, Oracle, Pivotal, and VMware, to name a few of the many official supporters.

    A Cloud-Native Architecture

    Microservices and containers with their independent services and resilient deployment are just the foundation. The following sections discuss additional requirements for a cloud-native architecture. delight subsist watchful 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 also private or hybrid
  • Vendor-agnostic deployment
  • Faster upgrades
  • Higher utilization and lower infrastructure cost
  • Shorter time to results and increased flexibility
  • With everything this you can focus on innovation and solving your commerce problems instead of spending your time with plenty of technical issues in ”static and adamant legacy architectures”. subsist watchful that cloud-native does not imply that you can deploy software just in the public cloud. Private or hybrid cloud deployments are also 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 race 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 labor 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 discover 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 also comprehend a service registry implicitly. It is not always smooth 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 smooth 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: sheer player in the API Management market
  • Akana (former SOA Software): sheer 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, broad Data, and IoT.

    Dynamic Distributed Configuration Management

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

  • Make changes dynamically at runtime (e.g. change service behavior, database connection or log even of a specific instance)
  • Change multi-dimensional properties based on a tangled request or deployment context
  • Enable / disable features based on the request context (e.g. array 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 thrust concept (to specific IP addresses and hosts) does not labor 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 progress and deployment is a key handicap of microservices and containers. modern features are added and ragged ones pruned. Zero-downtime and failover are required but you also necessity efficient usage of your resources.

    A cluster manager is designed for failover and lofty 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 august mix 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 progress with just a sole “Docker run” command. If you install it on a cloud platform it leverages the platforms specific features, for instance 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 large 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 Go 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 sufficient anymore. Concepts such as weighted load balancing based on several factors like traffic, resource usage or mistake conditions provide superior resiliency.

    Traditional server-side load balancing is used for years to dispense network or application traffic across a number of servers and to augment 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 comprehend 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 modern concepts for a cloud-native architecture require modern design patterns to proffer a common repeatable solution to commonly occurring problems. Resilience design patterns avert cascading failures, allow failing expeditiously and retrieve rapidly by implementing logic for latency tolerance, failing 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 also offers sophisticated implementations to enable latency and failing tolerance in distributed systems. “Application Resiliency Using Netflix Hystrix” is a august 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 tool chains available. The number is growing every month. This might remind many readers of Apache Hadoop and its unbelievably growing ecosystem with develope and less develope frameworks. The same is suitable for containers today. Therefore some “solution stacks” are emerging to aid getting started and managing everything the different challenges with one sole (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 also necessity some benevolent of cloud platform where you deploy and race everything 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 necessity a platform (Platform-as-a-Service, PaaS) where you can deploy and race your containers. The following picture shows the key characteristics of both:

    image

     

    Most enterprises select available develope 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 handicap of using an existing PaaS platform is the out-of-the-box back 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 everything the different frameworks discussed above. Most platforms leverage one or the other of these frameworks implicitly.

    After discussing everything the requirements and available frameworks for a cloud-native architecture in much detail let’s now win a contemplate at how everything 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 everything scenarios. Remember: These interpolate a lot of modern 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, broad data and Internet of Things you cannot survive without sound 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 lofty performance, lofty availability, and fault-tolerance might noiseless subsist the best option for the next few decades.

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

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

    Middleware Examples

    Having said that let’s win a contemplate 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 true time to add commerce 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 back microservice characteristics itself (containers, CI / CD, elastic scalability, etc.) to happy into a cloud-native architecture and to allow quick changes
  • Let’s near back to the instance of integration platforms and the ESB. If you necessity a more flexible, cloud-native integration solution instead of a classical, more central ESB deployment then you believe three options (but enact not trust 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 tangled and mission-critical services. progress is done in the traditional IDE. However, the key inequity is that the solution is cloud-native i.e. it supports containers and microservices. You employ this benevolent of integration middleware to develop integration applications that are deployed natively onto a PaaS platform such as Cloud Foundry or OpenShift. Some vendors proffer 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 like ERP, CRM, order management using enterprise technologies like SOAP, SAP, Oracle, IBM MQ, etc.
  • Functional Microservices: Build apps focusing on commerce 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 structure integration applications that are deployed natively onto a PaaS platform. TIBCO BusinessWorks Container Edition is a vendor-agnostic instance 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 progress 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 labor 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 rest services or to configure connections and policies of Open APIs. It is usually used to build “edge services”, sometimes also 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 particular overview including the pros and cons of iPaaS can subsist create here: “iPaaS: What this cloud technology is and why it’s important”.

    SaaS Cloud Integration Middleware (iSaaS)

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

    iSaaS integrations are clearly complementary to on-premise, PaaS and iPaaS integrations. They should also subsist viewed as “edge services” which are not strategic and mission-critical for the enterprise–but very apposite for the specific commerce 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 sole IDE, and consolidated operations management. Out-of-the-box integration capabilities with API Management components (API gateway and portal) are also very distinguished 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 rest 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 also needs to subsist exposed via an API to colleague 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 sound instance 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 also 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 also labor on cloud-native offerings. For more details see 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, win a contemplate at open source integration solutions such as Node-RED (based on js, open sourced by IBM) or Flogo (based on Google’s Go Programming Language, to subsist released and open sourced by TIBCO very soon). Both proffer a zero-code environment with web IDE for structure and deploying integration and data processing directly onto connected devices using IoT standards such as MQTT, WebSockets, or CoaP.
  • Finally, I would like to mention The Cloud endemic 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 aid 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 enact NOT happy into Every Project…

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

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

    By the way: The content of this article is also 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 true questions and Pass4sure dumps

    1. Semi-Hosted Service Pattern

    This article describes details about a modern 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 aid the frontend server implement OAuth 2.0 and OpenID Connect. Authlete is a real-world instance of such backend services. The motif below illustrates the relationship between a frontend server and a backend service (Authlete).

    The primary handicap 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 handicap 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 artery 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 set aside the other artery around, rather, it's because it is difficult to separate user authentication from OAuth 2.0 and OpenID Connect implementation.

    Such package solutions often proffer 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 modern user authentication mechanism whose stream 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 eradicate the necessity itself to abstract the artery of user authentication. Authlete requires only a result of user authentication and does not trust about how the result has been obtained. Consequently, Authlete can subsist combined with any user authentication solution.

    You may prodigy 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 thrust Out User Authentication?

    The motif below is a diagram of the Authorization Code stream defined in “4.1. Authorization Code Grant” in RFC 6749. (You can find the same motif in “Diagrams And Movies Of everything 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 thrust out user authentication completely from the implementation of OAuth 2.0 and OpenID Connect, Authlete has divided the authorization stream into the following three parts:

    (a) Processing the authorization request

    (b) Authenticating the user

    (c) Making the authorization response

    and provides two separate 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 motif below illustrates how a frontend server and a backend service (Authlete) labor together. You can see 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 stream + AUTHLETE 2.2. Other OAuth flows + Authlete

    Just for references.

    Implicit stream + AUTHLETE Resource Owner Password Credentials stream + AUTHLETE Client Credentials stream + AUTHLETE Refresh Token stream + 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 instance 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 motif 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 motif is an authorizer. The implementation of the duty 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 duty itself may in spin delegate the validation to an external authorizer. The motif below is an instance 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 knowledge 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 artery 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 knowledge Center) (with extra line breaks added for array purpose only).

    curl -k -v \-H "X-IBM-Client-Id: Client_ID" \-H "Authorization: Bearer Access_Token" \-X net '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 Part 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 sound instance 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 resolve 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 resolve 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 reply in Stack Overflow prove one of such employ cases.

    Some identity management solutions back authorization in the context of OAuth (which may obtain people confused). However, the semi-hosted service pattern removes the necessity itself for identity management solutions to back 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 contemplate like the motif 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 commerce and starts a healthcare service and a travel service, and if APIs of the modern 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 authorization to create play lists (music service), a authorization to refer to the record of corpse weight (healthcare service) and a authorization to reserve hotels (travel service) are managed at one place.

    Because each service usually has a different progress team, a different schedule, a different target for API exposure and different client applications, it is desirable to obtain each service believe its own authorization server. At the same time, it is also 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 await that implementations (such as Authlete) which by design win multiple authorization servers into consideration proffer a mechanism to easily create and delete authorization server instances.

    As an example, the motif below illustrates the steps to create a modern instance of authorization server / OpenID provider in Authlete's web console (Service Owner Console). Just three clicks. If it is smooth to create an authorization server instance like 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 standard specifications. On the other hand, backend services in the semi-hosted service pattern can design their APIs freely without any restraint.

    The following sections prove instance extensions that backend services may provide in order to aid 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 artery than the standard 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 artery to associate whimsical data like example_parameter with an access token.

    Backend services in the semi-hosted service pattern can provide a mechanism to associate whimsical 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 whimsical data with access tokens.

    The following is an instance 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 array client applications to which the user has given permissions, let the user select client applications, and delete everything 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 win a different approach - provide APIs instead of UI.

    Example

    Developers can back 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 modern 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 revert an authorization page which includes the list of permissions requested by the client application.

    A simple implementation will list everything the permissions in the authorization page. On the other hand, a user-friendly implementation may list the modern 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 everything the associated access tokens expire. Otherwise, permissions would subsist displayed to users again if an authorization request is made after everything 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 win a different approach — provide APIs instead of UI.

    Example

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

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

    This article explained a modern 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 hunt 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 :


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