I would be grateful for some feedback and advice. I would be surprised if it was just me having this problem. I have searched the forum and I found a similar topic 3 years ago but there is no concrete solution to the problem. Nothing unfortunately has worked out and I am quite desperate since I cannot perform my work. Charles Parish, invited parishioners to send in photos of themselves to be placed in the church pews during the Easter Mass so that they could be present in a. and Italy, Father John Tuohey, administrator of St. Inspired by news reports about Catholic parishes in the U.S. I contacted the technical support of Microsoft and with remote desktop they took several steps to resolve the problem, among others update of the drivers, compatibility troubleshooting, memory and disk checks, even an in-place upgrade in case there were system files corrupted. PITTSFIELD One might say it was a picture perfect Easter Sunday Mass at St. I had never seen that screen before in the laptop that I am using. After a while I observe that the RAM usage gets significantly high (1.8 to 2 GB) and at some point everything blocks and windows crashes with the blue screen and error code DPC_WATCHDOG_VIOLATION. The application starts without issues and I can work for a while loading data from excel tables and performing queries and reports. I have a lenovo laptop with 8 GB RAM and i7 processor. You may find all sources and an introductory readme on github ( ).Due to professional reasons, I have started using Power BI Desktop (latest 64-bit version) on Windows 10 圆4 version 1909. Our setup comes with proper Docker files for each service and a Docker Compose script to execute the complete shop system. As the order and cart component share the database, they are deployed on the same service. These could be replaced by another database implementing JDBC. iObserve is a video and audio recording app that allows you to record observations, time stamp criteria, give instant feedback and create a signed declaration. The account service, the catalog service and the order service all contain their own database based on HSQLDB. Therefore, we forked the original case study implementation to be able to add monitoring probes without polluting the original case study repositories. Furthermore, we utilize different case studies to evaluate the approach. The current design of the distributed JPetStore is as follows: Architecture and deployment of the distributed JPetStore The iObserve approach provides a wide range of software artifacts and other resources. iobserve-monitoring contains a version instrumented with extended iObserve monitoring probes which also log request parameters.kieker-monitoring contains a version instrumented with Kieker monitoring probes.distributed-with-presentation-layer contains the distributed version of the JPetStore without monitoring instrumentation.We support three branches in this repository for different purposes: You may find the distributed JPetStore in our github repository ( ). Therefore, we recently forked the original JPetStore and created a distributed application out of it. While the JPetStore is a neat application for software engineering purposes, it is not designed as a distributed system.
Yet it is also functional complete, as it implements all typical aspects of a shopping system, including a catalog, a search function, a shopping cart, a customer management, and a sales and order management. The preference for the JPetStore originates from its minimalistic design. It is a servlet-based web application which is widely used in academia to test and evaluate approaches.
The MyBatis-JPetStore is a well known example application to demonstrate the stripes framework.
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