Coffee Matches Bagel. Why Coffee Meets Bagel Selects Redis Labs

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 functions—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 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 vital for 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 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.

“Redis Enterprise’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, we’ve had no problem attaining 99.99% uptime.”

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.

“High performance has become critical to your operations,” claims John Valdez, DevOps Engineer at Coffee Meets Bagel. “It 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.”

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 Redis’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 Enterprise’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 Enterprise’s processing that is in-memory backlog queue, Coffee Meets Bagel has the capacity to keep information for later on use.

Reaping Benefits

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 Enterprise’s CRDT-based architecture that is active-active which can be created for geographically distributed applications. “Active-active replication is going to be a fantastic fit for all of us once we continue our expansion away from united states of america,” says Valdez. “But in the meantime, we’re just enjoying the breathing of fresh air-—and the breathing room—that Redis Enterprise has had to the operations.”

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