Kate AWS for SAP Process Orchestration & SAP Integration Suite now supports additional options to optimize performance with SQS & S3 for high throughput.

SQS Batching

With SQS Message Batching a new feature was added, that allows a sender channel to batch n SQS messages into one message for SAP integration.

This allows to control high throughput scenarios with batch processing SQS loads in connected backend systems.

S3 Error handling

S3 Polling sender channels now can also add an error handler that allows moving erroneous S3 objects to another bucket or prefix in the same bucket.

This allows sorting out such objects that can’t be regularly processed.

Kate AWS for SAP Process Orchestration & SAP Integration Suite now supports additional options to optimize performance with SQS & S3 for high throughput.

SQS Batching

With SQS Message Batching a new feature was added, that allows a sender channel to batch n SQS messages into one message for SAP integration.

This allows to control high throughput scenarios with batch processing SQS loads in connected backend systems.

S3 Error handling

S3 Polling sender channels now can also add an error handler that allows moving erroneous S3 objects to another bucket or prefix in the same bucket.

This allows sorting out such objects that can’t be regularly processed.

Kate Kafka Adapter for SAP Process Orchestration is now also listed on Confluent Hub, the go to source for ready to use Kafka integrations.

The adapter allows you to build sophisitcated integration into your existing SAP system landscape with the speed, volume and security that suits your use case.

Filters, intervall polling and Batching mechanisms allow reduction of record intake. Support for common data standards like JSON or Avro ease integration with standard SAP integration formats like IDOC, RFC or Odata.

Integrated error handling patterns allow handling of errors without disruption of topic processing.

Full integration into Confluent schema registration features enable a compliant schema evolution approach with familar tooling for a SAP integration developer.

Contact us for more information or visit our listing on Confluent Hub:

https://www.confluent.io/hub/kategmbh/kafka-adapter-for-sap-process-orchestration

With the release 1.0.24 of the AWS Adapter for SAP Process Orchestration we support the following additional Security options.

IAM role assumption

Instead of a user with assigned roles, an “empty” logon user can now be used. This user only assumes allowed roles at runtime and can only use them with short-lived credentials (via STS assumption).

The feature can be used in all supported AWS services.

SSE-C encryption for S3

The adapter now supports SSE-C for S3 with which Serverside encryption can be performed with custom keys. The feature is supported for both encryption and decryption in sender and receiver channels.

With the 1.0.12 release of the AWS Adapter for SAP Process Orchestration, we support the following additional storage and security options.

Storage Archiving

With this release, we have also added Glacier and DeepArchive as storage types for PUT operations in receiver channels.

Additionally, the adapter supports a new polling mode for S3 sender channels. This allows S3 objects to be archived instead of deleted after processing. The S3 object can be moved to another bucket for archiving with a new storage type (e.g.: Glacier or DeepArchive or the standard storage types). With this we support 3 types of S3 channels:

•  Polling and deletion of S3 objects after processing
•  Polling and archiving of S3 objects after processing (New *)
• Reacting to S3 events and processing the S3 object

Security

We now support AWS KMS based key management for server side encryption in S3. With AWS KMS, custom keys can be managed and used for “At REST” encryption of S3 objects (instead of using AWS managed master keys).