Azure: Microsoft’s popular Cloud Service Platform

It is no secret that cloud computing, with its vast applications for business continuity, collaboration etc, is rapidly becoming an agent of change in how businesses operate worldwide. Its game-changing nature of securely hosting and saving files online has brought about vastly increased competitiveness in businesses through cost reduction, greater flexibility and optimal resource utilization. Cloud technology has gained immense popularity among mid-size and small business, thanks to its ability to allow access to application software over high-speed internet connection without the need for investing in computer software and hardware. The leading tech giant in the cloud computing industry today are Amazon, Google, Microsoft, IBM and Oracle, among others. Of these, Microsoft has been at the forefront of cloud technology world for quite a few years now.

Cloud service categories

Azure cloud services fall into three main categories: IaaS (Infrastructure as a Service), PaaS (Platform as a Service) and SaaS (Software as a Service). All three options provide secure, reliable access to cloud hosted data built on Microsoft’s stable architecture. Here, IaaS is the most all-encompassing offering which gives you a server in the cloud. It allows the user to be in full control over the virtual machine, while the company is responsible for managing everything from the operating system up to the application that are running. PaaS and SaaS are the other services where applications are built and hosted through third-party vendors that usually charge for a certain amount of service.

Azure gained the edge

The rising popularity of Microsoft Azure is attributed of the comprehensive set of features and capabilities it offers. The company invested lavishly in its Azure infrastructure which provides hybrid computing tasks -- (i.e. running jobs on both the Azure Public Cloud and on the data center of the customer). Hybrid computing is useful to save on investment costs because the cloud is scalable, and a business can use Infrastructure as a Service only for specific tasks while still keeping its data center for more applicable (or less intricate) computing jobs.

Services Azure provides

Microsoft has been expanding its Azure services with time. Among these are Virtual Machines, SQL databases, Application services etc. The products it provides include AI + Machine Learning, Analytics, Blockchain, Compute, Containers, Databases, Developer Tools, DevOps, Identity, Integration, Internet of Things, Management and Governance, Media, Migration, Mobile, among others.

How businesses benefit

Azure comes in handy to companies that need additional computer capacity for existing applications, but don’t want to add more servers to their own data centers. It allows easy migration of workloads to the cloud without having to modify network configurations while still being able to connect the virtual machines to your on-premises corporate networks. Microsoft Azure has a worldwide network of data centers for its cloud platform, spread over 55 regions in 140 different countries. These form the backbone of facilities like building, deploying, and managing services and applications, anywhere.

-- Azure helps businesses be future-ready -- thanks to continuous innovation from Microsoft.

-- Helps companies build infrastructure on their terms, with a commitment to open source and support for all languages and frameworks, build how you want and deploy where you want to.

-- Enables operations of hybrid cloud seamlessly by integrating and managing environments with services designed for hybrid cloud.

-- It is ensures high security from the ground up, backed by a team of experts and proactive compliance trusted by enterprises, governments and startups.

Azure is the future

Intelligent Cloud and Intelligent Edge with Artificial Intelligence running across all systems is the next big thing. Azure platform is ready to provide an agile and secure experience in these.

Read similar article 

ModelListener Hook in Liferay DXP 7.1

Model Listeners are used for listening to the Liferay Model Events.Model Listeners implement the ModelListener interface. They are used to listen for persistence events on models and perform actions based on requirement either before or after creation of event.

Model listeners were designed to perform lightweight actions in response to a create, remove, or update attempt on an entity’s database table or a mapping table.

For example, if one wants to perform a specific action after deleting a user, this can be implemented using a model listener.

Requirements:Liferay 7 Dxp and knowledge of creating liferay hooks

You can create a model listener in a module by doing two simple things:

●     Implement ModelListener

●     Register the service in Liferay’s OSGi runtime

Step 1: Create a model Listener class that extends BaseModelListener to override listener methods from parent class. Here in CustomEntity you can define any entity of liferay as well as custom entity also. Here I have used User as an entity.

Step 2: Register the Model Listener Service

Register the service with Liferay’s OSGi runtime. If using Declarative Services, set service= ModelListener.class and immediate=true in the Component.

Step 3: Now implement listener methods and write your custom logic to perform actions. Here I have used onAfterRemove() and onBeforeRemove().

There are multiple methods of model listener used to perform action on model.

Listening for Persistence Events:

onAfterAddAssociation	onBeforeAddAssociation
onAfterCreate	onBeforeCreate
onAfterUpdate	onBeforeUpdate
onAfterRemove	onBeforeRemove
onAfterRemoveAssociation	onBeforeRemoveAssociation

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Learn Use of Hook in Liferay with examples

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OpenCV: Solving Computer Vision issues in real-time

OpenCV is a library of programming functions designed to solve Computer Vision problems in real-time. It is a cross-platform and free for use, which allows businesses to utilize and modify the code. OpenCV supports the deep learning frameworks like TensorFlow, Torch/PyTorch and Caffe. It is written in C++ and supports Windows, Linux, Android and Mac OS.

Its features

The OpenCV library has more than 2,500 optimized algorithms, which includes a vast set of both classic and state-of-the-art Computer Vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. OpenCV has a large user community and an estimated number of downloads exceeding 18 million. The library is used extensively in companies, research groups and by governmental bodies.

Languages and OS supported

OpenCV supports programming languages C++, Android SDK, Java, Python, Matlab/Octave and C. On the other hand, it can be run on Linux, Windows, Android,  Mac-OS, FreeBSD, NetBSD and OpenBSD operating systems.

The library has more than 2,500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms.

Widely used

The OpenCV library is used by private companies, startups and government organisations. Its deployed uses range from stitching together street-view images, detecting intrusions in surveillance video, helping robots navigate and pick up objects, detection of swimming pool drowning accidents, running interactive art, inspecting labels on products in factories, among others.

OpenCV applications

    • 2D and 3D feature toolkits

    • Egomotion estimation

    • Facial recognition system

    • Gesture recognition

    • Human–computer interaction (HCI)

    • Mobile robotics

    • Motion understanding

    • Object identification

    • Segmentation and recognition

    • Stereopsis stereo vision: depth perception from 2 cameras

    • Structure from motion (SFM)

    • Motion tracking

    • Augmented reality

To support some of the above areas, OpenCV includes a statistical machine learning library that contains Boosting, Decision tree learning, Gradient boosting trees, Expectation-maximization algorithm, k-nearest neighbor algorithm, Naive Bayes classifier, Artificial neural networks, Random forest, Support vector machine (SVM) and Deep neural networks (DNN).

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BPM equipping businesses to stay lean, mean and profitable

Business Process Management  is a systemic approach to conducting business. It is aimed at improving the process from end to end by analyzing it, modelling how it works in different scenarios, implementing improvements devised, monitoring the improved process and optimizing it on a consistent basis. The need for Business Process Management  and its growing acceptance stems from the fact that business have become increasing competitive, extensive in size, which together make cost-reduction necessary. Businesses are finding it profitable to automate some of its functions, especially manufacturing, and streamline and prune the various other processes. All this is done with the aim of better organising business activity flows to support the enterprise goals.

Business Process Management  is used on an ongoing basis for business process improvement, and while it quite often involves automating tasks within a business process, process improvements can happen outside of automation.

The benefits

BPM suites are usually designed to help improve business processes. Some of the potential benefits include simplifying operations, improving business agility, cutting costs, driving competitive advantages, increasing accountability, improving engagement with customers or customer satisfaction, reducing inefficiencies and ensuring regulatory compliance.

BPM tools

Business process management tools facilitate designing, modeling, implementing, and measuring workflows and business rules, thus helping companies to refine and optimize processes that involve human interaction or multiple business applications. They provide a systematic approach to managing and optimizing a company’s business processes with the goal to reduce inefficiencies, human error, or miscommunications.

How BPM software works

BPM software includes a visual process design tool that allows relatively non-technical users to design and test processes and workflows. The processes can usually be designed using the standard BPMN (Business Process Model and Notation) and SOA (Service-Oriented Architecture) methodologies, and exported in an executable language format (such as XPDL or BPEL). A well-executed BPM continually delivers improvements.

A BPM suite (BPMS) on the other hand helps organizations in their BPM activities by offering a suite of tools and functions for mapping, modelling, automating, managing and optimizing. BPMS generally supports activities ranging from business rule management to user communication to analytics. Intelligent BPMS, or iBPMS, offers next-generation capabilities such as adaptive analytics and advanced collaboration tools.

Popular BPM Tools are

– Appian

– Kissflow

– Camunda

– Activiti

– Flowable

– Tibco

– PEGA

– Bonita

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We offer various Training from popular open source like Liferay Training, Alfresco Training, JBoss JBPM Training, Mule ESB Training, Activiti BPM Training, Apache Hadoop Training, Apache Solr Training, Spring Training Course, Cloud Computing AWS Training, Apache Camel Training, Jboss ESB Training and many more...

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liferay installation: navigation menu is temporarily unavailable - search is temporarily unavailable.

Question : I was downloaded the liferay-ce-portal-tomcat-7.0 from https://www.liferay.com/downloads bundled with tomcat, after unzip i run "startup.bat" from C:\Users\pcone\Desktop\liferay\tomcat-8.0.32\bin 

After that i got the following error on the top side right corner: 

Answer : Set your  Environment JRE_HOME to "C:\Program Files\Java\jdk1.8.0_91\jre"

 

if you have any other question feel free to ask through email: imran@laliwalait.com

download Pokemon Go game install on smartphone.

download Pokemon Go game install on smartphone.

1. First, go to settings. Enter the Security menu. Swipe down to "Unknown sources" option under "Device administration" header and turn it on. 

2. Go to this page on APK Mirror from your android smartphone. Tap on Download APK. After seeing a warning message, tap on OK. The file will start downloading.

3.Once the download is complete, swipe down on the homescreen to access the notification panel. Tap on the file to install it.

done and enjoy