Mulesoft Online Training

Mulesoft Online Training

MuleSoftESB,API and MicroServices

MuleSoft an IT company is a provider of integration software for connecting applications, data and APIs across on-premises and cloud computing environments. MuleSoft’s Anypoint Platform provides agility by integrating with Saas applications, service-oriented architectures(SOA) and also with existing legacy applications with help of APIs.

MuleSoft’s Anypoint Platform provides deifferent tools and services, some of them include:

API Designer:

It is a web based tool to create APIs which also includes a console and a JavaScript scripting notebook.

API Manager:

API manager is an API management tool that helps firms to handle end users, traffic, service-level agreements (SLAs) and API security including API gateway, API Policy Manager and Contract Manager.

Anypoint Studio:

It is a graphical designing platform for building, editing and debugging integrations.

API Portal:

It is a developer portal which provides interactive documents, tutorials and code snippets. In addition, it also includes MuleSoft’s Portal Designer, Developer Onramp and Access Controller tools.

API Analytics:

It is a tool which makes users to keep track of APi metrics like performance and usage. It also includes visualization tools, such as API Dashboards and API Charts.

CloudHub:

CloudHub a multi-tenant integration platform as a service (iPaaS) that integrates SaaS applications and on-premises applications includes a hybrid deployment option, disaster recovery and high availability.

Mule ESB:

Mule ESB is an environment which allows developers to integrate SaaS and on-premises applications with the help of pre-built connectors, integration templates and drag-and-drop tools.

Mule Enterprise Management::

A management tool for servers, workflows and endpoints.

MuleSoft has its head office in San Francisco and it was founded by Ross Mason in 2006. As per Mulesoft the “mule” in its name came from drudgery or donkey work of data integration which Mulesoft platform will make to escape from and as mules are a hybrid combination of donkeys and horses, Mulesoft will deliver the strength of a donkey to pull the heavy workload, and get the things done at the speed of a racehorse.

Major cloud providers like Cisco, Salesforce and SAP extended their support to Mulesoft and it also received financial strength from New Enterprise Associates, Hummer Winblad Venture Partners, Morgenthaler Ventures, Lightspeed Venture Partners, Bay Partners and others.

Key concepts of Mule:

It works in a way by answering to events those being begun by external resources. Usually this follows the concept of EDA commonly known as event driven architecture.

In its initial level, applications of Mule receive and process events using an umpteen number of message processors. These processors are then set in a flow.

Here gaining fine cognizance on the basic architecture of Flow is crucial to understanding of Mule. And these flow charts contain a range of message processors which receive and process them. In addition to this, they do contain various linked flows that perform the integration necessary for use.

Flow:

It is construct through which you can integrate diverse individual elements for managing the receipt as well as for processing and routing of a message. And for building a complete application you can integrate many flows together and deploy on premise, in the cloud, on Mule or another application server.

In the initial level, flows are a sequence of message processing events that pass through a range of processors. Basic units that support in forming the flows are known as elements in XML flow representation and building blocks (that represents a component, message source or a processor) in studio’s graphical representation.

Message Sources :

Messages of mule processes are called events, that are moved from externals of resource to Mule. For instance, a message can be initiated by event with a request from a user or minor changes of data in a database or with the creation new ID in a SaaS app.

First building blocks of Flows receives the message requested and places them in a queue for processing. The message source in Mule receives the messages from external sources for activating the exclusion of flow. Few of the message sources in Mule include Anypoint Connectors that provide link to the specific external sources via protocals like HTTP, FTP, SMTP or Salesforce.com, Twitter, or MongoDB interfaces.

Message processors :

Transformers of Mule support in exchanging of data between the nodes to covert data in the format that other apps can easily understand. Furthermore, it also supports content enrichment that lets you to get the data during processing or message attachment.

Mule uses special components to conduct backend process like cross-checking of customer and inventory databases and more. And these components are developed in other known languages like Ruby, Python, PHP and JavaScript.

In addition to the above you can also use Mule Expression Language within message processors of your flow to extract the info and guide Mule to make processing decisions.

For further info on Mule, get online training and video tutorials with project for beginners to advanced level by under the guidance of our experts.

Prerequisites

  • Good to have knowledge in JAVA or any object-oriented programming language
  • Basic knowledge on web services (SOAP/REST)
  • What is ESB?
  • Basic DB queries (CURD)
  • A basic understanding of data formats such as XML, CSV, and JSON 6. A basic understanding of typical integration technologies such as HTTP, JMS, JDBC, REST, and SOAP

Objectives:

  • Understand what API-led connectivity is and its benefits
  • Use Anypoint Platform to take an API through its complete lifecycle: design, build, deploy, manage, and govern
  • Define an API with RAML, the Restful API Modeling Language, and make it discoverable by creating an API Portal for it and adding it to the Anypoint Exchange
  • Build an API implementation with Anypoint Studio that connects to a database and is transformed to JSON using DataWeave.
  • Deploy the API implementation to the cloud and then create and deploy an API proxy for it that governs access

Outline

  • Module 1: Introducing API-Led Connectivity
    • Identify the problems faced by IT today
    • Describe what API-led connectivity is and its benefits
    • Explain what web services and APIs are
    • Explore API directories and portals
    • Make calls to secure and unsecured APIs
    • Introduce API-led connectivity with Anypoint Platform
    • Explore Anypoint Platform
  • Module 2: Designing APIs
    • Define an API with RAML, the Restful API Modeling Language
    • Mock an API to test its design before it is built
    • Create a portal for developers to learn how to use an API
    • Make an API discoverable by adding it to the private Exchange
  • Module 3: Building APIs
    • Introduce Mule applications, flows, messages, and message processors
    • Use Anypoint Studio to create a flow graphically
    • Build, run, and test a Mule application
    • Use a connector to connect to a database
    • Use the graphical DataWeave editor to transform data.
    • Create a RESTful interface for an application from a RAML file
    • Connect an API interface to the implementation
  • Module 4: Deploying and Managing APIs
    • Describe the options for deploying Mule applications
    • Use properties in Mule applications so they can be easily moved between environments
    • Deploy a Mule application to the cloud
    • Create and deploy a proxy for an API in the cloud.
    • Restrict access to an API proxy

Our Tutorials Covers

  • Introductions to Mule and advantages
  • Learn about Mule applications, flows, messages, and message processors
  • Inbound and outbound end points
  • Create a project in Any Point Studio
  • What is connectors, transformers, Scopes, Components, Filters, flow control and Error Handling and how to use
  • Transform data using Data Weave, the powerful transformation language like convert message from XML and JSON, JSON to XML and JSON to CSV etc.
  • What are data scenes and advantages?
  • How to write Mule Expression Language (MEL)
  • Read and write message properties and variable’s using MEL
  • Exception handling
  • Building, running, testing, and debugging Mule applications
  • What is Cloud Hub and how to deploy an application? Deploying and running applications on Mule ESB and Cloud Hub
  • Creating batch jobs to process items in a CSV file or a database

How to connect to external systems using Mule

  • Introductions to Point to point integration and API’s
  • What is Any point to Any point
  • Connect to databases, files, web services, SaaS applications, JMS queues, and more
  • Introduction to RAML
  • API LED connectivity
  • Introducing the Any pointPlatform (API Manager, Exchange, Access management, Runtime manager and MQ)

Security

  • Introduction to Security
  • Credential vault, secure mule message using different encryption and decryption mechanism’s using mule
  • OAuth
  • How to configure HTTPS
  • How to apply policies and advantages through API manager

Support

  • Alerts
  • Server details
  • Create Clusters and High Availability

Guide lines to write a mule flow

  • Coding standards
  • Best practices
  • Reusability
  • Logging and Auditing

How to write test cases in Mule

  • Munitand Junit test cases

Software’s and tools

  • JAVA
  • Any point studio
  • Postman and SOAP UI