Coforge (Erstwhile WHISHWORKS) appointed G-Cloud 10 supplier

  • Written By Coforge
  • 03/07/2018

Coforge (Erstwhile WHISHWORKS), an expert MuleSoft Integration and Big Data services provider, has been successfully listed as an approved G-Cloud 10 supplier by the UK Government. Among the key inclusion criteria were proof of suitability for use in government projects, and the provision of a full list of capabilities and pricing.

The company will provide its full range of cloud-driven services to support government organisations in the UK with their MuleSoft Integration and Big Data projects:

The services are designed to support government organisations with their transformational initiatives and address the entire life cycle of a project, from solution selection to deployment and support. Coforge’ MuleSoft and Big Data certified experts ensure fit-for-purpose solutions, governance  and smaller cycles at each stage of a project.

You can find more about the new G-Cloud 10 portal here: https://www.digitalmarketplace.service.gov.uk/g-cloud


If you would like to find out more about how API-led connectivity can help you create a fully integrated environment, do give us a call at +44 (0)203 475 7980 or email us at Salesforce@coforge.com

Other useful links:

Integration trends from the London MuleSoft Summit 2018

What is an API and how does it enable Connectivity?

MuleSoft Integration Services

Latest Insights

Blogs

How to optimise Azure Data Lake Integration Using MuleSoft

In this blog about Azure Data Lake integration, we’ll focus on uploading file data using Azure Data Lake Connector.

How to Insert and Retrieve Data from Amazon DynamoDB
Blogs

How to Insert and Retrieve Data from Amazon DynamoDB

Why do users choose Amazon DynamoDB? What you’ll need to get started and highlights of the functionality in DynamoDB made possible by Mule 4.

mulesofts-anypoint-monitoring-dashboards
Blogs

MuleSofts’ Anypoint monitoring dashboards

Built-in dashboards that provide insights into Mule applications and APIs through graphical representations of data over any given period.