Result

No performance or availability issues were reported by any of the branches or channels and it was business as usual. The migration had been executed smoothly with zero post go-live defects and the system was firing on all cylinders, as predicted by the Avekshaa team who was monitoring the system closely in production. They worked with multiple internal teams across multiple products seamlessly to help make this transition a smooth and silent success

Result

Architectural changes leveraging parallel processing were identified to help increase hardware utilization and the throughput. The changes were accepted by the product vendor and the recommendations were implemented in their next release. This version showed a more than 200% increase in scalability and the electronic batch processes now completed well within the SLA-defined limits.

Result

Implementing Avekshaa’s performance assurance recommendations resulted in a 200% increase in SMS throughput without any hardware augmentation. Optimizing the data retrieval mechanisms reduced the load on the database by more than 80%, thereby drastically improving response times. Recommendations for further performance improvements included implementing appropriate load balancing techniques as well as an I/O framework specifically designed to handle high volumes of messages.

Result

Overall 500% improvement in performance and scalability. Multiple daily server reboots were eliminated entirely and there were no unplanned reboots in a month. Significant improvements in transaction times and user experience. Performance modelling platform COMP-A-S-S™ generated comprehensive and concrete error-free reports within a couple of hours, which otherwise would have taken 2 months to generate, thus reducing the total project duration by around 100%.

Result

Avekshaa’s P-A-S-S™ optimization resulted in significant performance improvements across the system. Web server downtime was eliminated (earlier it went offline 3-4 times per day). Database performance tuning resulted in significantly faster response times (around 50% improvement), resulting in a better user experience and increased productivity. Avekshaa also provided a comprehensive capacity plan to the customer to handle future growth.

Result

Avekshaa’s P-A-S-S™ optimization resulted in significant performance improvements that boosted the bank’s service levels. The database layer specific solutions reduced the down-time by more than 20% and the downtime incidents by 26%. The application layer solutions reduced the downtime by more than 30% along with a 50% reduction in downtime incidents.

Result

As a result of Avekshaa’s first phase of work, the gateway was stabilized to handle 60,000 transactions/day without disruptions. The database utilization was almost doubled without any additions to the hardware, allowing headroom to effectively handle twice the number of transactions. Memory utilization was also drastically reduced from 70% to 10%.

The second phase focused on a 10x scale-up. A poorly performing system that capped out at 29,000 transactions/day while requiring multiple restarts, now handled 300,000 transactions/day smoothly and without disruptions. Avekshaa delivered a 10x improvement without additional hardware or upgrades, all in an impressively short time of 8 weeks.

Result

The Finacle CRM system supporting 18,000+ users, deployed at a large bank was suffering from performance and scalability issues. Frequent outages, multiple times a day impacted up to 4,000 concurrent sessions. Unscheduled outages resulted in the system being unavailable for an average of 15 minutes a day, which translated into a significant impact on productivity.

Result

The migration was completed and the system went live on schedule. Post-deployment monitoring and updates demonstrated that the upgraded system was meeting all the performance and scalability requirements and the migration was termed a huge success. Performance of various modules was improved between 200% - 500%.

Result

Using Avekshaa's unique P-A-S-S™ optimization methodology we identified key bottlenecks and resolved the performance issues in the Back-end Administration System which were leading to delays in policy delivery booked through the web channel. A total of 25 recommendations helped solve the problem.

Result

At a large organization was involved in the performance optimization of Finacle CRM that supported more than 3000 concurrent call center agents. We improved transaction time, user experience and de-coupled the dependent components by identifying solutions leveraging parallel processing, caching mechanisms and incorporating a layered design. The recommended solutions helped eliminate frequent server crashes - thereby significantly improving Availability of the application.