Apache Kafka is used for building real-time data pipelines and streaming apps. It is horizontally scalable, fault-tolerant, and incredibly fast. And when coupled with Heroku and MuleSoft, developers can easily publish and consume data without writing any code.
In this article, we’ll walk-through the process of configuring the MuleSoft Kafka connector to connect to Apache Kafka on Heroku through SSL. Using the MuleSoft Kafka Connector, developers can streamline business processes and move data between Kafka and enterprise applications and services.
To achieve efficient implementations with Async APIs, the need for new protocols and exchange patterns has become critical. Which is why we are excited to announce the release of the Mule WebSockets connector!
A WebSocket is a bi-directional, full-duplex, and persistent connection that is established on top of your existing HTTP infrastructure. Now, you no longer need to open new ports, modify firewalls, routers, or support new protocols.
PostgreSQL is one of the world’s most popular relational database management systems. Millions of developers and companies rely on PostgreSQL as their transactional data store of choice to drive application health and decision making. With Heroku Postgres, you gain the advantages of Heroku’s operational expertise of scaling applications and allow your team to quickly access data in the cloud. But how can you get data in and out of Heroku Postgres quickly and easily?
Being a developer-first company means you have to be exactly where developers build great products. Which is why HERE Technologies has joined the MuleSoft Technology Partner Program and has contributed to the MuleSoft partner ecosystem by releasing Geocoder API specifications. This collaboration will empower MuleSoft developers to create more engaging and contextual user experiences with the most comprehensive and accurate location technology.
If you have worked with Mule for any period of time you know that we provide deep support for interacting with Salesforce Clouds – including connectors, templates, and examples. But you may not be aware that Salesforce exposes many different APIs that our connectors leverage for these integrations. Many developers may be familiar with the real-time, bulk, or streaming integration patterns that Salesforce supports. This blog will touch on a lesser-known API resource Salesforce has released and the MuleSoft connector that supports it.
Life sciences companies are facing tougher obstacles in bringing new therapies to market than ever before. With an average drug approval process taking up to 15 years and billions of dollars to complete, new technological advancements are being leveraged to help manage the growing clinical, regulatory, and commercial needs necessary to accelerate time to market.
In the digital economy, connectivity is everything. A key part of connectivity is growing an ecosystem that enables you to tap into data from anywhere.
At MuleSoft, we enable connectivity to everything. As a No. 1 priority, we will continue to invest in tooling that makes it easy to build your own connectors as well as connect to any API. As such, we are constantly expanding and updating the number of connectors provided by MuleSoft and our ecosystem.
One of main use cases with Salesforce that MuleSoft customers use involves uploading records that are stored in CSV format to Salesforce. MuleSoft has provided various ways to fulfill this use case. We have dataloader.io, the most popular Data Loader for Salesforce on Salesforce AppExchange, and also have Anypoint Platform’s Salesforce Connector with various operations.
We added another option to help you easily accomplish the above use case.
