Project Name
How Ksolves Managed Peak Load with Apache Cassandra to Ensure Reliability and Performance Under High Demand?

Our client oversees critical government projects and relies on an open-source Cassandra cluster to power its high-demand, public-facing application, which is essential for government services. However, seasonal peak loads caused query timeouts due to unpredictable spikes in data volume and user traffic, necessitating a solution for uninterrupted service.
The client faced several challenges that impacted their database performance and overall system stability. Some of the challenges are as follows:
- The client experienced a slowdown in the application’s performance, which increased response times for read queries.
- The client’s Cassandra database encountered escalated read query latencies primarily due to the growing volume of data management and a higher number of concurrent users.
- Even the disk space for Cassandra began to fill up rapidly, preventing the client from conducting essential maintenance activities and posing a potential threat to system stability.
Our team provided a comprehensive Apache Cassandra Support solution to address the challenges faced by the client. Some of them are as follows:
- We helped them identify the root cause of the Cassandra query timeout
- We helped them add nodes in their Cassandra cluster management without any downtime.
- Enabled them to clean up old data from existing node management that Cassandra does not do by default.
- Help them streamline their Cassandra maintenance activity through the open-source tool Cassandra Reaper.
- Improved Performance: A significant improvement in Read query response times ensured smooth application performance during peak loads.
- Scalability: The client could dynamically scale the database by adding new nodes without service interruptions.
- Optimized Maintenance: Automated tools like Cassandra Reaper reduced manual intervention, allowing them to schedule and manage maintenance efficiently.
- Storage Management: Old data cleanup prevented rapid disk space consumption, ensuring long-term stability.
With our Apache Cassandra support, the client overcame their database performance challenges and ensured application reliability even during seasonal peak loads. This use case underscores the valuable flexibility of Cassandra’s performance in managing fluctuating workloads. By leveraging Apache Cassandra’s scalability, they successfully added nodes without downtime, allowing them to handle increased traffic efficiently.
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