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Coffee Satisfies Bagel, Why Coffee Meets Bagel Selects Redis Labs

Coffee matches Bagel is a highly curated online service that is dating. 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 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 suits Bagel initially struggled using 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. Although ElastiCache at first became a fundamental section of Coffee Meets Bagel’s manufacturing environment, the DevOps group discovered they required a very available and scalable solution with 24?7 help. For Coffee Meets Bagel, high end had been a vital 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 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 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 immense savings that are operational. Flash storage space for cool values reduces dependence on high priced RAM and saving over 40% of https://datingperfect.net/dating-sites/mate1-reviews-comparison AWS expenses.

“Redis Enterprise’s automobile scaling abilities have actually eradicated times of handbook work formerly expected to ensure 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 ended up being struggling having its utilization of Cassandra. While Cassandra delivered on basic high write amount demands, it experienced noticeable problems whenever it stumbled on simultaneous updates and deletions, leading to partial outages that impacted end-user experience.

Coffee matches Bagel looked to Redis Enterprise to supply constant high-performance. Redis Enterprise Virtual Private Cloud (VPC) ended up being 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 the operations, ” claims John Valdez, DevOps Engineer at Coffee Meets Bagel. “It had been the reason that is key decided on open-source in-memory Redis whenever building down our application architecture a long time ago, and, now, it absolutely was a significant factor within our choice to go 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 strategies for its scores of users, and procedure huge amounts of individual matches at high rates, utilizing lots of Redis’s versatile data structures including bloom filters, sets, sorted sets, geospatial indexes and sinter operations. Redis Enterprise could be the database that is primary significantly 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 in-memory processing and backlog queue, Coffee Meets Bagel has the capacity to keep information for later on use.

Reaping benefits that are many

Coffee satisfies Bagel has seen a number of other advantages following its go on to Redis Enterprise, including 24/7 help, straighforward automated operations, reduced AWS invest, cloud-agnostic persistence and significant cost benefits. As Coffee Meets Bagel expands its worldwide existence, it could want to fundamentally leverage Redis Enterprise’s CRDT-based active-active architecture, that will be made for geographically distributed applications. “Active-active replication is going 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 operations. ”