Coffee suits Bagel is just a highly curated online dating service. Since its founding in 2012, the dating application provider has grown to significantly more than three million users around the world. As Coffee Meets Bagel makes a concerted work to expand its worldwide existence, it depends on Redis Enterprise Virtual Private Cloud (VPC) for lightning-fast performance that seamlessly scales across lots of critical functionsвЂ”from caching and individual analytics to real-time data streaming.
Why Coffee Meets Bagel Selects Redis Labs
Coffee suits Bagel initially struggled along with its utilization of Cassandra and soon after its use of Elasticache. While Cassandra delivered on fundamental adult hub on kodi high write amount needs, it experienced partial outages that impacted the end-user experience. The DevOps team found they needed a highly available and scalable solution with 24Г—7 support although ElastiCache initially became a integral part of Coffee Meets BagelвЂ™s production environment. For Coffee Meets Bagel, high end had been a vital for their operations and Redis LabsвЂ™ expertise has helped them troubleshoot problems while optimizing RedisвЂ™ performance capabilities.
High end. Processing upwards of 1 terabyte of information hour with lightning-fast performance Redis expertise. Desired a partner that is knowledgeable 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, with no need for worker throttling immense savings that are operational. Flash storage space for cold values reduces importance of costly RAM and saving over 40% of AWS costs.
вЂњRedis EnterpriseвЂ™s automobile scaling capabilities have actually eradicated times of handbook work previously needed to ensure that employees had been designed for scaling during high-traffic times. In addition, weвЂ™ve had no problem attaining 99.99% uptime.вЂќ
Stephen Brandon Engineering Manager, Infrastructure Coffee Meet Bagel
High Performance is Mission Critical
Before adopting Redis, Coffee Meets Bagel had been struggling using its utilization of Cassandra. While Cassandra delivered on fundamental high write amount demands, it experienced noticeable dilemmas whenever it stumbled on simultaneous updates and deletions, causing partial outages that impacted end-user experience.
Coffee suits Bagel turned to Redis Enterprise to produce high-performance that is consistent. Redis Enterprise Virtual Private Cloud (VPC) had been deployed to seamlessly measure around the world while serving lots of critical functions, including caching, individual analytics and real-time data streaming.
вЂњHigh performance has become critical to your operations,вЂќ claims John Valdez, DevOps Engineer at Coffee Meets Bagel. вЂњIt had been the key explanation we decided on open-source in-memory Redis whenever building away our application architecture a long time ago, and, recently, it had been an important facet inside our decision to maneuver to Redis Enterprise.вЂќ
Caching, User Session Shop, Fast Information Ingest, Main Database
Redis Enterprise provides high-performing in-memory operations that make it possible for Coffee Meets Bagel to come up with extremely individualized suggestions for its scores of users, and procedure vast amounts of individual matches at high rates, making use of lots of RedisвЂ™s versatile data structures including bloom filters, sets, sorted sets, geospatial indexes and sinter operations. Redis Enterprise could be the main database for a lot more than two terabytes (and growing) of individual information. Redis EnterpriseвЂ™s information seamlessly ingest capabilities scale to process up to one terabyte of information an hour or so, including over 300 million exchanged communications and much more than one billion matches, with no need for worker throttling. Along with that, through Redis EnterpriseвЂ™s processing that is in-memory backlog queue, Coffee Meets Bagel has the capacity to keep information for later on use.
Coffee matches Bagel has seen a great many other advantages following its go on to Redis Enterprise, including 24/7 help, straighforward automated operations, reduced AWS invest, cloud-agnostic persistence and significant financial savings. As Coffee Meets Bagel expands its international existence, it can want to fundamentally leverage Redis EnterpriseвЂ™s CRDT-based architecture that is active-active which can be created for geographically distributed applications. вЂњActive-active replication is going to be a fantastic fit for all of us once we continue our expansion away from united states of america,вЂќ says Valdez. вЂњBut in the meantime, weвЂ™re just enjoying the breathing of fresh air-вЂ”and the breathing roomвЂ”that Redis Enterprise has had to the operations.вЂќ