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Coffee Satisfies Bagel, Why Coffee Meets Bagel Selects Redis Labs

Coffee Satisfies Bagel, Why Coffee Meets Bagel Selects Redis Labs

Coffee matches Bagel is really a highly curated online dating service. 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 hinges 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.

Coffee matches Bagel initially struggled along with its utilization of Cassandra and soon after its use of Elasticache. While Cassandra delivered on fundamental write that is high needs, it experienced partial outages that impacted the end-user experience. Although ElastiCache at first became a essential section of Coffee Meets Bagel’s manufacturing environment, the DevOps group discovered they required an extremely available and scalable solution with 24?7 help. For Coffee Meets Bagel, high end ended up being a crucial with their operations and Redis Labs’ expertise has helped them troubleshoot problems while optimizing Redis’ performance capabilities.

Needs

High end. Processing upwards of 1 terabyte of information a full hour with lightning-fast performance Redis expertise. Desired a qualified partner to assist troubleshoot dilemmas, optimize performance, and smoothly measure operations Lowered expenses. Minimizing AWS spend on Redis circumstances.

Redis Enterprise Advantages

Zero hassle that is operational. Completely handled solution and Redis expertise and help, allowing Coffee Meets Bagel to spotlight 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 Significant savings that are operational. Flash storage space for cool values reduces dependence on costly RAM and saving over 40% of AWS expenses.

“Redis Enterprise’s car scaling abilities have actually eradicated times of handbook work formerly necessary to make sure that employees had been designed for scaling during high-traffic times. In addition, we’ve had no nagging issue attaining 99.99% uptime. ”

Stephen Brandon Engineering Manager, Infrastructure Coffee Meet Bagel

High end is Mission Critical

Before adopting Redis, Coffee Meets Bagel had been struggling along with its utilization of Cassandra. While Cassandra delivered on fundamental high write amount needs, it experienced noticeable dilemmas when it stumbled on simultaneous updates and deletions, causing partial outages that impacted end-user experience.

Coffee matches Bagel looked to Redis Enterprise to provide 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 been critical to the operations, ” claims John Valdez, DevOps Engineer at Coffee Meets Bagel. “It had been the reason that is key opted for open-source in-memory Redis whenever building away our application architecture a long time ago, and, now, it had been an important facet within 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 very individualized suggestions for its an incredible number of users, and procedure huge amounts of individual matches at high rates, utilizing several of Redis’s versatile data structures bloom that is including, sets, sorted sets, geospatial indexes and sinter operations. Redis Enterprise could be the database that is primary a lot more than two terabytes (and growing) of individual information. Redis Enterprise’s information consume capabilities seamlessly scale to process well over one terabyte of information an hour or so, including over 300 million exchanged messages and much more than one billion matches, with no need for worker throttling. As well as 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 Advantages

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 eventually leverage Redis Enterprise’s CRDT-based active-active architecture, which can be created for geographically distributed applications. “Active-active replication is supposed to be a fantastic fit we continue our expansion outside the United States, ” says Valdez for us as. “But in the meantime, we’re just experiencing the breathing of fresh air-—and the breathing room—that Redis Enterprise has taken to the findmate operations. ”