Category: Application Integration

Event-driven architecture makes building cloud applications easier, especially applications required to create, detect, consume, and react to multiple events in real time. Learn how DXC Technology helped a customer in the energy industry collect and push events from electricity meters using event-driven architecture. When application complexity increases, this event-driven approach provides better scalability, fault tolerance, and faster development.

Salesforce Event Relays enable bidirectional event flows between Salesforce and AWS through Amazon EventBridge. This opens up opportunities to build event-driven, near real-time applications, responding to feedback and outside triggers as they happen. In this post, we use the bidirectional integration to pass events from Salesforce to AWS to send SMS messages, and notify you when a user responds to your message. This is an event-driven architecture, leveraging Custom Platform Events in Salesforce.

In today’s highly complex and dynamic application ecosystem, in addition to a growing virtual workforce, it’s imperative for organizations to have an automated system in place to handle security and compliance. Learn how AWS Security Competency Partner SailPoint has integrated with Amazon EventBridge to solve various use cases for their customers. This platform, SailPoint IdentityNow, provides the benefits of combining SailPoint identity security with Amazon EventBridge to automate security and compliance.

Many customers at DNX Solutions struggle with different facets of their cloud platform optimization, but scalability is usually identified as one of the main factors to drive a cloud modernization project. Learn how DNX Solutions modernized a customer’s heavy image processing jobs, and moved from a traditional pooling mechanism to an event-driven architecture supported by AWS Batch and Amazon EventBridge. The key objective of the process detailed in this post was to enable the customer to scale their data platform.

Businesses are faced with ever-increasing complexity of the systems they need to run in order to stay agile and competitive. The complexity can develop over time as new systems are integrated but old ones are not retired sufficiently fast. It can also develop intentionally, such as when a monolith is decomposed into microservices. In this post, learn how to build modern, event-driven serverless applications and how MongoDB Atlas and Realm products complement serverless architectures.

Organizations are rapidly adopting SaaS solutions to better serve their end customers using specialized software, but using SaaS services can lock key business data in different “data islands” that are hard to integrate. AWS recently announced the extension of support for Zendesk as both source and destination in Amazon AppFlow. This expanded integration enables customers to transfer data bi-directionally between Zendesk and other AWS and SaaS services in just a few clicks.

Many SaaS applications boast of microservices as a means to divide a monolithic architecture into easily manageable solutions. Sometimes these microservices have their own databases. To maintain data consistency across the system, you need to implement a data synchronization system between source and target data persistence layers. Learn how Trantor has developed a solution using Amazon AppFlow to easily synchronize the data between Salesforce and Amazon RDS for PostgreSQL in near real-time.

Customers often need to rely on third-party solutions to extract and transform data from sources such as Slack and Zendesk. Some vendors, however, do not support all of the sources and rely on multiple products to perform ETL and persist data into Snowflake. This post details how Amazon AppFlow simplifies the data transfer process, and how customers can use AWS PrivateLink for transmitting data over AWS rather than via the public internet.

AWS introduced Amazon EventBridge partner event source integrations to showcase reference architectures and end-to-end use cases that help you get started quickly with integrating SaaS partners in your own applications. Fully open source, these solutions include code and AWS Serverless Application Model (SAM) templates that can be customized and extended to fit your application’s needs. The reference architectures include AWS Quick Starts and GitHub code to ease integration.

Amazon AppFlow allows you to source data from AWS services and SaaS applications such as Salesforce, and aggregate them in AWS data lakes and data warehouses to draw unique data-driven insights. Learn how to set up Amazon AppFlow for Salesforce users and follow along with two use cases, one for updating Amazon Redshift with new Salesforce contact information, and another for creating new Salesforce lead records using campaign data stored in Amazon S3.