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Oracle Tuxedo is a well known application server known for its scalability and flexibility in deploying and managing several mission-critical applications. Also, it is known for its prowess in communicating among applications written in languages like C, C++, COBOL, Java, PHP, Python and Ruby, which co-exist in the same container.
Applications Manager delves deep into Oracle Tuxedo's architecture, and monitors parameters that determine the efficiency and speed of applications running on it
Track the status of the bulletin board (accessers, conversations and objects), number of clients logged in, service load, etc. and detect if service requests are being properly assigned to specific servers. Know more about the queue status, and the number of requests that are queued or processed, to determine any possible bottlenecks in processing.
In multi-node architectures, bridges are used to communicate between two Tuxedo systems. In such cases, it is critical to know about the bridge status, number of messages processed, etc. as it affects the potential of data throughput.
Monitor the percentage of transactions used, amongst the maximum number of transactions that can be processed to enhance an application's performance, by allocating an optimum number of transactions that can be processed.
Know more dynamic information about the state of an application by monitoring the queue details ( status of the queue, queue length, number of requests queued or processed) to determine any possible delay in processing a request.
Track the state of the server and the transactions running on it ( aborted, initiated or committed) to determine the number of server process instances that have successfully started, and whether client requests are distributed evenly between them
When a transaction is initiated, it is critical to ensure that all service invocations be part of the transaction. This can be determined by monitoring Tuxedo service details ( name and state of running services). Ensure load balancing by spreading load across various machines within a domain so that several services can run on multiple machines.
It allows us to track crucial metrics such as response times, resource utilization, error rates, and transaction performance. The real-time monitoring alerts promptly notify us of any issues or anomalies, enabling us to take immediate action.
Reviewer Role: Research and Development