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Top 13 Best API Management Tools with Feature Comparison

Unfurling a business or a service in today’s era requires a copious amount of technology-driven factors to meet the end of the favourable results. One should bind the vision and ensure that they are decked with all the new-fangled technologies and software to unroll their business in the current tech world.

There is a profuse of software that assists in soothing ut the functional activities of the programme. Since the tree of business has grown vast they have dilated their branches on the platform of ultra-modern technologies and software to facilitate the proceedings.

What is API Management

Contributing to the league of advancement and high technologies, API management is the foremost tool that is brought into the course of action for easing out the monitoring activities.

The primary function of  API management  is to run different API functions like API creation, publication, and security.

One of the vital attributes of  API management is that it binds no restriction to the organizations to create an API to monitor the activities and drive the needs of the developers and applications that are using the API.

To experience the best skills of API, there must be authentic documentation, excelled security, regular testing and a great sense of reliability.

API Management Tools

API management Tools are highly beneficial for the business to business communication by providing them with end to end services that act as an upper hand for the smooth functioning and management of an organization.

 API management  has the most pre-eminent attribute that they lay off is security, documentation, security, sandbox environment, supreme availability, backward compatibility. These are the vital factors that are highly beneficial for functioning as flat as a pancake. There is also one provision that is not mentioned often but is largely useful which is usage reporting.

Following are the API management tools that are highly used –

1. Tibco

Tibo cloud is known for providing the finest API management attributes for enterprises embracing cloud-native development and deployment proceedings.

Features – 

  • Stream Base
  • Business Events
  • Business Connect
  • BW/BWCE
  • EBX
  • DV
  • Spotfire
  • Mashery

2. WS02

Features-

  • Explores all services and creates a suitable API that functions with a single click.
  • The prime attributes of WSO2 are thoroughly managing the API’S
  • It stores the data in a storage system and exposes it in the form of services.
  • It provides the developer with abundant features to use the API’S that are published

3. Dell Boomi

Features – 

  • Dell Boomi helps in providing a solution to interconnect the applications and data at any cloud.
  • Dell Boomi also permits you to amalgamate the applications into non-identical combinations.
  • It acts as an upper hand in building the integration with pace.
  • Dell Boomi is highly beneficial for accumulating cloud applications.

4. Apache Kafka

Features-

  • Apache Kafka is mainly implemented as a backend infrastructure
  • Apache Kafka is an important element in modern architecture to construct open and flexible applications.
  • Event Streaming Platform.

5. Mulesoft

Features-

  • Mulesoft assists the developers to connect the application as a whole rapidly and without any extra effort.
  • The messages can be in any of the formats from SOAP to Binary images.
  • It is incredibly light-weighted and embeddable, hence it can be positioned in many topologies.
  • Mulesoft has an attribute of gelling themself in any of the types you want

6. Apigee

Features – 

  •  Apigee management is brought into action for partner apps, consumer apps, cloud apps, etc. 
  • One of the prime attributes of Apigee management is that they can provide the solution as a proxy, agent, and hybrid solution.
  • It becomes pretty easy for a developer to construct and layout the applications.

7. Scale

Features – 

  • A 3 Scale  API management  is often in the breeze of developers as they are quite smooth when it comes to managing them. 3 Scale API management is a red hat software. 
  • Managing internal and external users is quite facile with the aid of 3 Scale API management.
  • 3 Scale API management is majorly profitable for its developers portal and it has program tools with the characteristics of access control, rate limits, security and many others.

8. IBM API Management

Features – 

  • IBM management proffers a cloud base solution of API creation with the help of API connect.
  • IBM API management t lays off automated and model-driven tool for API creation
  • It also provides API testing and monitoring without performing the coding activity.

9. Akana

Features – 

  • Akana  API management  bestows an end to end API management with its features.
  • One can design, secure, implement, and publish API services with the assistance of Akana.
  • Akana API Management also provides Traffic Management.
  • Akana API Management is best for the Life Cycle Management tools.

10. Kong Enterprise

Features – 

  • One of the prime features of Kong Enterprise is it can be situated on-premise in the cloud.
  • Kong Enterprise also assists in managing and extending the API and its microservices.
  • It can also be extended by using plugins.
  • Kong Enterprise is highly useful as an open-source  API management .

11. Mashery

Features – 

  • Mashery is full of reliability as it upholds the capabilities for managing B2B API and Public API programmes.
  • Mashery also provides the prime functions of API Creation, Testing, Packaging, and Management.
  • Mashery  API management is ideal for conversion to Restful and SOAP protocols.

12. CA Technologies

Features – 

  • CA Technologies  API management  proffers SAAs solution for the management of API.
  • CA Technologies also provides a low code platform of development for API Creation.
  • It is skilled in managing all the microservices
  • CA Technologies are useful for a gateway API.

13. Microsoft Azure API Management

  • One of the prime features of Microsoft Azure API Management is that you can manage all the API activities on a single platform.
  • Microsoft Azure API Management also publishes API for both internal and external consumers.
  • It also manages and publishes all the architecture of the microservices.
  • Microsoft Azure API Management  API management is highly useful for self-service API Key management.

Conclusion

We have taken you through the top 13  API management  for better system integration in this blog. Tools like Mulesoft, Apigee, Dell Boomi and many others are integration applications bought in action to develop a systematic outcome.

 

Opt for a suitable application for you, which will suffice your motive of the system integration and keep an upbeat track of the consumers.

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What is system integration? Why You Need One

In the current air of advancement where technology plays a vital role in constructing the proceeding into a facile activity. System integration is one of the most important factors when it comes to better functioning of the components without any hassle and complication.

System Integration has thoroughly assisted the organizations to provide a value and quality of the consumer which apparently flares up the value of the company.

In the current zephyr of data connection the use of system integration is vital to connect larger base of systems.

What is System Integration

There are a profuse of technical components into a system that works in harmony for the better functioning of the organization. 

The primary attribute of system integration is sub-merging multiple systems or components into a singular and broader system to function as a whole and one.

This process of system integration acts as an upper hand in functioning the task or the work together and error-free.

System integration is majorly conducted by the IT firms or other business sectors involved in communication and enterprise.

One of the most prime reasons to bring the system integration into an action plan is to ameliorate the execution and increase the calibre of their operations. It assists in easing out the communication activity of the organization and pace up the crucial information and goings-on of the company.

The system integration highly benefits in eliminating the operational costs that an organization spends the most in integrating all the systems in one particular shed for a better workflow.

Methods of System Integration

Bringing the system integration into an organization is not a facile task, there are specific methods and understanding of every aspect such as where the process should be indulged and on what particular locus a business needs the integration.

Vertical Integration

Vertical integration is slightly peculiar in comparison to any other system integration. Ideally, each system component is interlinked with each other on the bedrock of how proximally they relate to the function that is to be performed by them.

This construction drives to the result of ‘Silo’ formation where the bottom functions are the utmost basic and standard and others eventually get irregular or complex.

Vertical integration is believed to be simple and there is a minimum number of system involvement in it, yet this method sometimes is obstinate.

Horizontal Integration

Horizontal integration is a method where different system components are used as the standard interface layer between all other system components.

The primary function of this method is that it permits every system component (sub-system) to acquire only a single interface to communicate to the entire system components that are connected to the common interface layer.

The common interface layer is known as the (ESB) common interface bus.

Why one should opt for System Integration

System integration is highly beneficial for the business and enterprises who are unfolding their service in communication or digitally.

Better Profitability

One of the prime attributes of system integration is that it undertakes the core planning of the organisation vastly. It reduces the time that is required when you work with multiple systems.

Accurate examination

 Working with multiple projects in the same span is an activity that sometimes becomes a strenuous one. System integration provides you with a great sense of examination of the projects by making sure that they are working willingly.

Brings consumer loyalty

Consumer loyalty is the most important phenomenon of every business holder as better consumer loyalty assists in generating adequate revenue in the firm. With the use of system integration, you can eliminate and save on the time that you lay out in providing your elements and administration.

System Integration is the most useful phenomenon in the current era where there is a huge play of technologies. One must get the system integration into their action course to drive favourable results.

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What is API integration & management?

The world is evolving all traditional techniques for every industry. The new Digital Universe was introduced in the last few years, and it has become the plethora to explore the businesses. APIs are the building blocks of the digital transformation and automation currently occurring across industries worldwide. If talking in simple terms, APIs enable multiple applications or operating systems to address by sending and receiving data all on the same platform.

Being the IT industry leader, and taking pride in working with multiple international organizations, we will introduce you to the advanced and latest API solutions in this blog.

Let’s Start!

The importance of APIs in Digital Business?

  • APIs can assist several programs to interface with each other at the same time.
  • Through APIs, corporations can grow their business more speedily than ever before.
  • They reduce barriers to facilitate more agile innovation.
  • APIs empower business ecosystems so that people can gracefully contribute to a company’s success.
  • APIs play a significant role in business transformation and increase efficiency to accomplish any company goal.

The Universe of API explained: API Integration and API Management Services

API Integration: To make smooth communication

In today’s ever-changing world, API integrations have become a significant element of companies success and failure. API integrations influence high-performing business processes to keep data in sync, enhance potency and drive revenue.

API integration services offer the most reliable process to design models that perform seamlessly. Through API Integrations frameworks, your business can:

  • Build innovative products.
  • Connect to more users or clients.
  • Boost your ROI.

Advantages of API Integrations

  • Aid administrators in automating tasks
  • Help maximize employee and learner experience
  • Grant employees only one login for all the platforms they need access to
  • Allows to add or remove users once they are not any longer within the HR system or on the payroll
  • Trigger invoices and reduce time spent manually browsing them individually

API Management 

API management administers, regulates, secures and monitors APIs during secure and guarded surroundings. It enables you to manage the expanding number of internal and external APIs used or provided by a corporation. Licensed API management company addresses the requirements of all API stakeholders – API publishers, API developers, APP developers and API consumers.

Why API Management?

Unmanaged APIs are not secured efficiently, and their acceptance rate is low. Furthermore, if not properly managed, they put a service-based infrastructure of systems and applications in danger because they’re not protected. 

In summary, APIs, if unmanaged, are the first demonstration of the business vulnerability and ultimately end in high costs. 

Significance and Importance of API Management 

  • Assists you to ideally manage, secure and analyze programs.
  • Addresses simplified formats and methods for developers to operate programs.
  • Aids in maintaining ideal security from unauthorized access and threat.
  • Through API analysis, IT operations and the developer team can drive your business success.
  • Assists teams to deliver successful API programs to improve developer potency.

Final Thoughts

By implementing an API solution, businesses can specialize in expansion efforts without fear of manually collaborating system data. In addition, because the company grows and introduces more interfaces, an API integration platform can ensure information is updated accurately and shared throughout the organization.

Your API Integration and Management Service Partner

ProwessSoft continues moving forward and has a keen sense of the pulse of technological progress, which is why we keep our hands on new digital transformation trends and implement them in projects to achieve business goals brighter. We have been helping our clients with the best practices implementation of TIBCO, MuleSoft, Salesforce, and Enterprise Application Development domains. Being the best system integration company,  we have also built some accelerators that will help to fast track our client’s development process. In addition, our IT services converge business and technology experts to help manage business processes of all categories.

We go over and beyond client expectations on technology delivery at reasonable costs, and the process shares wealth and happiness with all stakeholders.

 

To get in touch with us, click here:

MULE COMMON PROCESSES

Mule Common Processes

Purpose: 

Many customers create shared libraries which contain flows, sub-flows, etc. to be re-used across the Mule projects. For example, common sub-flows can be used for logging, error-handling, shared business logic, etc. This article aims to provide information and guidance on how to create and import common libraries in Mule 4. 

Below topics are covered in this article. 

  • Creating a common Library 
  • Publish common library as custom connector to anypoint exchange 
  • Import exchange asset to anypoint studio and use it another project 

1. Creating a common Library: 

Create a sample mule project (ex: commonlibrary) with two flows. One flow is error-flow.xml and another is log-flow.xml as shown in below pic. 

Picture1

   We need to do below necessary changes in pom.xml to make this project ready for publishing. 

  • Modify the groupId of the Maven project to be your Organization ID in your project’s POM file 

Picture2

  • Ensure that below plugin is added to pom.xml 

                <plugin> 

                  <groupId>org.mule.tools.maven</groupId> 

                  <artifactId>mule-maven-plugin</artifactId> 

                  <version>${mule.maven.plugin.version}</version> 

                  <extensions>true</extensions> 

                  <configuration> 

                  <classifier>mule-plugin</classifier> 

                  </configuration> 

               </plugin> 

 

  • Add the below Maven facade as a repository in the distribution management section of your project’s POM file.  

<distributionManagement> 

<repository> 

<id>Repository</id> 

<name>Corporate Repository</name>      

<url>https://maven.anypoint.mulesoft.com/api/v1/organizations/${project.groupId}/maven</url> 

<layout>default</layout> 

</repository> 

</distributionManagement> 

  • Update the settings.xml file in your Maven .m2 directory. After you install Maven, the mvn clean command creates the .m2 directory. In Windows, the directory resides at <default-drive>\Users\YOUR_USER_NAME\.m2 that contains your Anypoint Platform credentials. The Maven client reads the settings file when Maven runs. (Assumption is that you have maven already installed) 

Please note that <id> value in settings.xml must match with <id> value in distributionManagement section of pom.xml 

<?xml version=”1.0″ encoding=”UTF-8″?> 

<settings xmlns=“http://maven.apache.org/SETTINGS/1.0.0” 

          xmlns:xsi=“http://www.w3.org/2001/XMLSchema-instance” 

          xsi:schemaLocation=“http://maven.apache.org/SETTINGS/1.0.0 http://maven.apache.org/xsd/settings-1.0.0.xsd”> 

  <servers> 

    <server> 

      <id>Repository</id> 

      <username>myusername</username> 

      <password>mypassword</password> 

       </server> 

  </servers> 

</settings> 

2. Publish common library as custom connector to anypoint exchange 

  • Go to the folder where pom.xml is present. Execute the command mvn deploy.  

Picture3

  • Once the command is executed is successfully, go to anypoint exchange. There you will see commonlibrary asset is reflected. Now this asset is ready to be imported to anypoint studio. 

Picture4

 3. Import exchange asset to anypoint studio and use it another project 

  • Create a new mule project. (ex: muleproject). In Mule palette section click on Search in Exchange (as shown below). 

Picture5

 

  •   Another pop up will open. Enter the asset name (commonlibrary in our case) you want to import and add and click on finish. After that you will see that corresponding POM dependency gets added to POM.xml 

Picture6

 

  • With Maven Facade you can consume connectors, Mule applications, and REST APIs published in Exchange. To consume an Exchange asset, add the Maven facade as a repository in the repositories section of pom.xml 

<repository> 

<id>Repository</id> 

<name>Corporate Repository</name> 

<url>https://maven.anypoint.mulesoft.com/api/v1/organizations/ORNIZATION_ID/maven</url> 

<layout>default</layout> 

</repository> 

  • Now, to be able to import, it is necessary to create an “Import” configuration, which contains the name of the Mule configuration file that contains the sub-flow we want to use, in this case error-flow.xml, log-flow.xml are the ones we created. 

Picture7

 

Picture8

  • This will make imported sub-flows “Logger”, “Error” visible from the library in our Mule application as flow-reference, as depicted below 

Picture9

BATCH PROCESSING IN MULESOFT

BATCH PROCESSING IN MULESOFT

Background 

MuleSoft supports processing of messages in batches. This is useful for processing large number of records. MuleSoft has many processors for specific usage in batch processing and implementing business logic. When the batch job starts executing, mule splits the incoming messages into records and stores them in a queue and schedules those records in blocks of records to process. By default, a batch job divides payload with records of 100 per batch, and it concurrently processes using a max of 16 threads. After all the records have passed through all the batch steps, the runtime ends the batch job instance and reports the batch job result indicating which records succeeded and failed during processing. 

Batch processing has three phases in Mule 4. 

  • Load and Dispatch 
  • Process 
  • On Complete 

 

  • Load and Dispatch 

This is an implicit phase. This phase creates a job instance, converts the payload into a collection of records and then splits the collection into individual records for processing. Mule exposes batch job instance id through the “BatchJobInstanceId” variable, this variable is available in every step. It creates a persistent queue and associates it with new batch job instance. Every processed record of the batch job instance starts with the same initial set of variables before the execution of the block.  

After each record is processed in this phase, the flow continues to execute the dispatched records, asynchronously. It does not wait for the rest of the records to be processed. 

  • Process 

In this phase, the batch job instance processes all individual records asynchronously. Batch step in this phase allows for filtering of records. The record goes through a set of Batch Steps that has a set of variables within the scope of each step. A Batch aggregator processor may be used to aggregate records into groups by setting aggregator processor size. There are many processors that could be used to customize the batch processing behavior. For example, an “Accept Expression” processor may be used to filter out the records that do not need processing, any record that evaluates to “true” is forwarded to continue processing. 

A Batch job processes large number of messages as individual records. Each Batch Job contains functionality to organize the processing of records. Batch job continues to process all the records and segregates them as “Successful” or “Failed” through each batch step. It contains the following two sections, “Process Records” and “On Complete”. The “Process Records” section may contain one or more “Batch Steps”. Any record of the batch job goes through each of these process steps. After all the records are processed, the control is passed over to the On Complete section.  

  • On Complete 

On Complete section provides summary of the processed record set. This is an optional step and can be utilized to publish or log any summary information. After the execution of entire batch job, the output becomes a BatchJobResult object. This section may be used to generate a report using information such as the number of failed records, succeeded records, loaded records, etc. 

Batch Processing Steps 

  • Drag and drop flow with http listener and configure the listener. 
  • In the example below, 50 records are added to the payload that will be processed. 
  • “Batch Job” processor is used to process all the records from the payload. Each “Batch Job” contains two parts – (1) Process Records and (2) On Complete 
  • In the “Process Records” the batch step is renamed as Step1. In process records we have multiple batch steps. 
  • Below screenshot shows multiple batch steps. 

  Picture1

  • In all the batch steps there is an “Accept Policy” i.e., whether the next step accept or not decided by the “Accept Policy”. There are three values in “Accept Policy”. 
  • “NO_FAILURES” (default) i.e., Batch step process only succeeded records. 
  • “ONLY_FAILURES” i.e., Batch step process only failed records.   
  • “ALL” i.e., Batch step process all the records whether it is failed to process. 
  • There is an “Accept Expression” in the batch step it has to evaluate to true, then only the record accepted by the next step. 
  • There is a need to aggregate bulk records, use “Batch Aggregator” by specifying aggregator size as required. 
  • Below screenshot shows how to configure the batch aggregator. 

Picture2

  • Use the logger in the batch aggregator and the configure it. 
  • All the steps are executed, then the last phase of the job called as “On Complete” will trigger. 
  • On Complete phase, there is a BatchJobResult object gives information about, exceptions if any, processed records, successful records, total number of records. 
  • We can use this BatchJobResult object to extract the data inside it and generate reports out of it. 
  • Below screenshot shows the BatchJobResult. 

  Picture3

  • In On Complete phase, if we configure the logger as Processed Records then it will process the Processed Records. 
  • Run the mule application  
  • Give the request in order to trigger the batch job. The batch job sends the payload as one by one records to batch step. 
  • The screenshot shows the logs in the console. 

Picture4

Performance Tuning 

Performance tuning in mule involves analyzing, improving, validating the millions of records in single attempt. Mule handled to process huge amount of data efficiently. Mule 4 erase the need of manual thread pool configuration as this is done automatically by the mule runtime which optimizes the execution of a flow to avoid unnecessary thread switches. 

Consider there are 10 million records to be processed in three steps. Many input operations occur during the processing of each record. The disk characteristics along with workload size, play a key role in the performance of the batch job because during the input phase, an in-disk queue is created of the list of records to be processed. Batch processing requires enough memory available to process threads in parallel. By default, the batch block size is set to 100 records per block. This is the balancing point between the performance and working memory requirements based on batch use cases with various record sizes. 

Conclusion 

This article showcased the different phases of batch processing, batch job and batch steps. Each batch step in a batch job contains processors that act upon a record to process data. By leveraging the functionality of existing mule processors, the batch step offers a lot of flexibility regarding how a batch job processes records. Batch Processing used for parallel processing of records in MuleSoft. By default, payload divides 100 records a batch. By matching the number of records with respect to the thread count and input payload the batch processing is achieved.