About Meity
Industry: Electronics and Information Technology
Location: India
Challenge: Legacy System unable to identify issues with Java-based application, with Multiple integration points and different kinds of schedulers working within an integrated system to manage a complex distribution network.
Product Used: End-To-End APM
Result(s): Identified unfavorable user experience (form errors, page errors, high page load, etc.) The correlation between very slow and error category transactions, enabled by DB monitoring, helped identify the offending database queries.
Challenge
Down fall in distribution caused by an application breakdown. Dealers and distributors were in trouble and not been able to deliver on time for certain application failures. The application collapsed due to massive data process operations. This caused high response that resulted into the failure of back-end application to serve users with 4XX errors. The bigger challenge was understanding what’s happening in production environment in real time during the peak hours. They tried to leverage production logs to diagnose the issue issues but couldn’t find root cause that lead to the application break down during the peak traffic hours every time.
End-to-end Monitoring And Diagnostics
Cavisson enables MEITY to monitor performance across the entire enterprise end-to-end. Starting from the user experience, application back-end, DB, Integration points, and Application logs as well.
Monitoring the complex infrastructure and to do the RCA uponanyissues.
Cavisson enables us to monitor performance across DBT-FERT application from end-to-end. Starting from the user experience, application back-end, DB, Integration points, Application logs as well. Monitoring the complex infrastructure and to do theRCA uponanyissues
Solution
Using our solution, MEITY was able to use a single box for performance monitoring, achieving the following milestones:
❖ Real-time monitoring to generate alerts upon unfavorable events, identify the bottlenecks with concurrent load, capture the top contributing queries, methods, etc.
❖ Started with application and infra monitoring that provided insights into infrastructure and all related components (server, database, integration points, third-party services, scheduler, etc.) availability.
❖ The second step was to provision full-stack monitoring to identify struggling users and correlate that struggle with issues at the back-end infra.
❖ Designed customer dashboard favorites for effortless monitoring for all critical segments. Designed custom reports for key performance metrics.
❖ User Experience Monitoring: Identify exact user struggles, which can be reproduced within the test environment and fixed, since most of it was not even detected at the back-end.
❖ DB Analysis: Analyze DB queries, number of active connections, leak connections, CPU, and the locks. This will lead to a conclusion whether DB is a cause of slow response. This upon fix can be compared for optimization.
Benefits
Cavisson’s APM implementation resulted in major optimization across the MEITY application ecosystem. Some of the benefits derived after deploying our APM solution as follows:
❖ Real-time alerts for unfavorable system stats (response time, CPU, memory, network, etc.) as well as for unfavorable user experience (form errors, page errors, high page load, etc.) to notify users of performance impacts.
❖ 24×7 End-to-end monitoring of the complete enterprise, beginning from the user journey right up to method timing/code level visibility.
❖ Web-based dashboards to drill down to any breakdown to correlate the issue and do the root cause analysis. Analytics, including top business transactions, flow path, exception/errors, method timing, etc., led to the discovery of issues.
❖ Correlation between very slow and error category transactions enabled with DB monitoring helped identify the offending DB queries.
❖ Application back-end bottlenecks identified with code-level granularity with the package, class, and method level visibility gave decision-making insights to the technical team.