MEITY DELIVERS DISTRIBUTION AND SUPPLY CHAIN EXCELLENCE WITH CAVISSON

CHALLENGE

Down fall in distribution caused by application break down. 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 entire enterprise 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 the RCA 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.

❖ Second step was to provision full stack monitoring to identify struggling users and correlate that struggle with issues at the back-end infra.

ABOUT MEITY

Industry: Electronics and Information Technology

Location: India

Challenge: Product Used: Result(s): Legacy System unable to identify issues with Java based application, with Multiple integration points and different kind of schedulers working within an integrated system to manage a complex distribution network.

Product Used: End-To-End APM

Result(s): Legacy System unable to identify issues with Java based application, with Multiple integration points and different kind of schedulers working within an integrated system to manage a complex distribution network. End-To-End APM Identified unfavorable user experience (form errors, page errors, high page load, etc.) Correlation between very slow and error category transactions enabled with DB monitoring helped identifying the offending db queries.

❖ Designed customer dashboard favorites for effortless monitoring for all critical segments. Designed custom reports for key performance metrics.

❖ User Experience Monitoring: Identify exact user struggle, 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 for performance impacts.

❖ 24×7 End-to-end monitoring of complete enterprise beginning from 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 identifying 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.

About the author: Cavisson Systems