Introducing the effectiveness of monitoring batch processing with JENNIFER!
Batch processing is being carried out in many systems, regardless of whether they are new or old. Although there are various types of batch processing, such as night batches and online batches, differing in purpose, scale, and complexity, one common point is that monitoring is rarely conducted. When it is done, it typically only involves alerts for the start, end, and abnormal termination of the batch. The perception that batch processing finishes on time and has fewer failures compared to online processing is one reason for the lack of monitoring. However, in the current context where service outages directly impact sales and customer trust, not only is the speed of recovery during failures important, but regular performance checks to prevent failures beforehand are also becoming crucial. Additionally, in the transition from on-premises environments to cloud environments, it becomes possible to ensure stable operations by conducting design, development, and testing using objective performance data. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*
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We develop, sell, and support the web application monitoring tool "JENNIFER," the Kubernetes monitoring tool "JENNIFER Kubernetes," and the front-end monitoring tool "JENNIFER Front."