Coffee Meets Bagel

06
Mar

Coffee Meets Bagel

Coffee satisfies Bagel is just 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 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 user analytics to real-time data streaming.

Why Coffee Meets Bagel Selects Redis Labs

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Coffee satisfies 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. 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 ended up being a crucial to their operations and Redis Labs’ expertise has helped them troubleshoot problems whilst optimizing Redis’ performance capabilities.

Demands

High end. Processing upwards of one 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 instances.

Redis Enterprise Advantages

Zero hassle that is operational. Completely handled solution and Redis expertise and help, allowing Coffee Meets Bagel to pay attention to application innovation Fast data 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 Significant operational savings. Flash storage for cool values reduces dependence on high priced 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 sure 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 Important

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

Coffee suits Bagel looked to Redis Enterprise to produce constant high-performance. Redis Enterprise Virtual Private Cloud (VPC) had been deployed to seamlessly scale around the world while serving a number 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 reason that is key decided open-source in-memory Redis when building away our application architecture several years ago, and, now, it had been 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 enable Coffee Meets Bagel to create extremely personalized suggestions for its an incredible number of users, and procedure vast amounts of individual matches at high rates, making use of a lot 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 significantly more than two terabytes (and growing) of individual information. Redis Enterprise’s information consume abilities 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. Along with that, through Redis Enterprise’s processing that is in-memory backlog queue, Coffee Meets Bagel has the capacity to store data for later on use.

Reaping Benefits

Coffee suits Bagel has seen a great many other advantages following its go on to Redis Enterprise, including 24/7 help, hassle free automated operations, reduced AWS spend, cloud-agnostic consistency and significant cost benefits. As Coffee Meets Bagel expands its international existence, it can prefer to fundamentally leverage Redis Enterprise’s CRDT-based architecture that is active-active which will be created for geographically distributed applications. “Active-active replication may be an excellent 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 had to the operations.”

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