Coffee suits Bagel is a highly curated online service that is dating. Since its founding in 2012, the app that is dating has grown to a lot more than three million users around the world. As Coffee Meets Bagel makes an effort that is concerted expand its worldwide existence, it depends on Redis Enterprise Virtual Private Cloud (VPC) for lightning-fast performance that seamlessly scales across lots of critical functions—from caching and individual analytics to real-time data streaming bristlr login.
Coffee satisfies Bagel initially struggled having its utilization of Cassandra and soon after its use of Elasticache. While Cassandra delivered on fundamental write that is high demands, it experienced partial outages that impacted the end-user experience. The DevOps team found they needed a highly available and scalable solution with 24?7 support although ElastiCache initially became a integral part of Coffee Meets Bagel’s production environment. For Coffee Meets Bagel, high end had been a crucial with their operations and Redis Labs’ expertise has helped them troubleshoot problems while optimizing Redis’ performance capabilities.
High end. Processing upwards of 1 terabyte of information a full hour with lightning-fast performance Redis expertise. Desired an educated partner to assist troubleshoot dilemmas, optimize performance, and smoothly measure operations Lowered expenses. Minimizing AWS expend on Redis circumstances.
Redis Enterprise Advantages
Zero functional hassle. Completely handled solution and Redis expertise and help, allowing Coffee Meets Bagel to pay attention to application innovation Fast information consume. Seamless scales to process over 300 million communications and much more than one billion matches an hour or so, without the necessity for worker throttling immense functional savings. Flash storage for cool values reduces requirement for costly RAM and saving over 40% of AWS expenses.
“Redis Enterprise’s automobile scaling abilities have actually eradicated times of handbook work formerly expected to make certain that employees had been designed for scaling during high-traffic times. (más…)