10 million pages/hour
In customer communication management, companies are regularly faced with the challenge of having to produce and send large quantities of transaction documents within a very short period of time. This is especially true for peaks such as year-end business. This often involves batch jobs with millions of pages, which is why very good CCM software performance is crucial for fast and smooth output to customers.
As hardware resources are now inexpensive thanks to “pay per use” and can be procured dynamically without provisioning times, the ability to use available hardware resources flexibly and spontaneously is a fundamental requirement for modern software systems.
The modern container architecture of Serie M/ enables any dynamic scaling via the hardware in the cloud. Additional computing power is automatically switched on when it is needed. This means that the maximum computing power, which may only be required once or twice a year, does not have to be permanently available.
Creating documents from templates and XML data and sending them to our output management system M/OMS
M/OMS batch run with rendering to PDF and AFP output formats
A mixture of 1.5 pages and 9 pages
Kubernetes 1.20
M/TEXT:
1-10 Pods,
M/OMS:
1-3 Pods
Each pod uses its own AWS EC2 c5.2xlarge instance (8 vCPU, 16 GB RAM, 60 GB EBS storage)
PostgreSQL 10.15 on db.m5.xlarge (4 vCPU, 16 GB RAM)
10 million pages/hour
15 million pages/hour
With the M/TEXT batch interface, it is possible to define parallel processing threads with different prioritization. This allows the performance to be individually adapted and optimized to the framework conditions of the respective application — and thus use the hardware even more efficiently.
A mandatory application scenario for financial service providers is high-volume, time- and performance-critical year-end processing. For our customer Raiffeisen Switzerland, the task was to provide an IT infrastructure in container operation that can process and output the maximum document volume of 27 million documents once a year in just 48 hours.
Open Shift container architecture
8 Pods (8 CPU Cores, 8-12 GB RAM)
Loader
10 Pods (2 CPU Cores, 2 GB RAM)
The OMS adapter is an upstream module between the delivery system and the Serie M/, which prepares the data for the Serie M/ and ensures optimum parallelization with its 10 pods.
Flexible operating models for cloud, hybrid, and on-premises environments.
Open interfaces for integration into existing applications and processes.
Secure operating models, authentication, and compliance for business-critical communications.
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