You can now use SpEL expressions within the transformer, router, filter, splitter, aggregator, service-activator, header-enricher, and many more elements of the Spring Integration core namespace as well as various adapters. There are many samples provided throughout this manual.

You can now benefit from Conversion Service support provided with Spring while configuring many Spring Integration components such as Datatype Channel. See Section 3.1.2, “Message Channel Implementations” as well Section 7.3.1, “Introduction”. Also, the SpEL support mentioned in the previous point also relies upon the ConversionService. Therefore, you can register Converters once, and take advantage of them anywhere you are using SpEL expressions.

Spring 3.0 defines two new strategies related to scheduling: TaskScheduler and Trigger Spring Integration (which uses a lot of scheduling) now builds upon these. In fact, Spring Integration 1.0 had originally defined some of the components (e.g. CronTrigger) that have now been migrated into Spring 3.0's core API. Now, you can benefit from reusing the same components within the entire Application Context (not just Spring Integration configuration). Configuration of Spring Integration Pollers has been greatly simplified as well by providing attributes for directly configuring rates, delays, cron expressions, and trigger references. See Section 3.3, “Channel Adapter” for sample configurations.

Our outbound HTTP adapters now delegate to Spring's RestTemplate for executing the HTTP request and handling its response. This also means that you can reuse any custom HttpMessageConverter implementations. See Section 15.3, “Http Outbound Gateway” for more details.

We now provide support for the Message History pattern allowing you to keep track of all traversed components, including the name of each channel and endpoint as well as the timestamp of that traversal. See Section 8.2, “Message History” for more details.

We now provide support for the Message Store pattern. The Message Store provides a strategy for persisting messages on behalf of any process whose scope extends beyond a single transaction, such as the Aggregator and Resequencer. Many sections of this document provide samples on how to use a Message Store as it affects several areas of Spring Integration. See Section 8.3, “Message Store”, Section 6.3, “Claim Check”, Section 3.1, “Message Channels”, Section 5.4, “Aggregator”, Chapter 17, JDBC Support, and Section 5.5, “Resequencer” for more details

We have added an implementation of the Claim Check pattern. The idea behind the Claim Check pattern is that you can exchange a Message payload for a "claim ticket" and vice-versa. This allows you to reduce bandwidth and/or avoid potential security issues when sending Messages across channels. See Section 6.3, “Claim Check” for more details.

We have provided implementations of the Control Bus pattern which allows you to use messaging to manage and monitor endpoints and channels. The implementations include both a SpEL-based approach and one that executes Groovy scripts. See Section 8.4, “Control Bus” and Section 7.6.2, “Control Bus” for more details.

We have added Channel Adapters for receiving and sending messages over the TCP and UDP internet protocols. See Chapter 16, TCP and UDP Support for more details. Also, you can checkout the following blog: TCP/UDP support

Twitter adapters provides support for sending and receiving Twitter Status updates as well as Direct Messages. You can also perform Twitter Searches with an inbound Channel Adapter. See Chapter 26, Twitter Adapter for more details.

The new XMPP adapters support both Chat Messages and Presence events. See Chapter 29, XMPP Support for more details.

Inbound and outbound File transfer support over FTP/FTPS is now available. See Chapter 13, FTP/FTPS Adapters for more details.

Inbound and outbound File transfer support over SFTP is now available. See Chapter 24, SFTP Adapters for more details.

We have also added Channel Adapters for receiving news feeds (ATOM/RSS). See Chapter 11, Feed Adapter for more details.

With Spring Integration 2.0 we've added Groovy support allowing you to use Groovy scripting language to provide integration and/or business logic. See Section 7.6, “Groovy support” for more details.

These symmetrical transformers convert payload objects to and from a Map. See Section 6.1, “Transformer” for more details.

These symmetrical transformers convert payload objects to and from JSON. See Section 6.1, “Transformer” for more details.

These symmetrical transformers convert payload objects to and from byte arrays. They also support the Serializer and Deserializer strategy interfaces that have been added as of Spring 3.0.5. See Section 6.1, “Transformer” for more details.