Increasingly, organizations are being disrupted by the rapid changes in technology and market dynamics brought about by cloud computing, SaaS applications, mobile adoption and big data applications. To keep pace with these changes, organizations need to rapidly connect their systems and open up their platforms to external applications, vendors and community.
Organizations realize that building an API layer that can serve all of their applications is the fastest way to drive adoption of their platform.
MuleSoft Anypoint Runtime Manager (ARM) provides connectivity to Mule Runtime engines deployed across your organization to provide centralized management, monitoring and analytics reporting. However, most enterprise customers find it necessary for these on-premises runtimes to integrate with their existing monitoring systems such as Splunk and ELK to support a single pane of glass view across the infrastructure.
This HowTo article includes 3 parts to describe an example of configuration changes needed to set up a Mule runtime: 1) register an agent to a runtime manager,
We are happy to announce the September ’15 release of the Salesforce Analytics Cloud Connector v2.0.0. In this blog post, I will be covering some of the important features of the connector as well as walking you through the technicalities of ingesting data into Salesforce Wave Analytics Cloud by leveraging features within Anypoint Platform.
Benefits of using the Salesforce Analytics Cloud Connector
Salesforce’s Wave Analytics Platform is a data discovery tool built to enable organizations to derive insights from their data.
I am very excited to announce the general availability of the Anypoint Platform for APIs July 2014 release. This release places a broad set of rich API tooling at developers fingertips, allowing them to address the entirety of the API lifecycle in a more efficient and effective manner. The release also enables API program owners to deliver a robust API platform that can easily integrate with existing enterprise assets.