Coffee Suits Bagel

Coffee Suits Bagel

Coffee matches Bagel is really a highly curated online dating service. Since its founding in 2012, the app that is dating has grown to significantly more than three million users around the world. As Coffee Meets Bagel makes a concerted work to expand its worldwide presence, 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 matches Bagel initially struggled along with its utilization of Cassandra and later its use of Elasticache. While Cassandra delivered on basic write that is high demands, it experienced partial outages that impacted the end-user experience. Although ElastiCache at first became a vital section of Coffee Experts review of anastasiadates 2020 – Meets Bagel’s manufacturing environment, the DevOps group discovered they needed an extremely available and scalable solution with 24?7 support. For Coffee Meets Bagel, powerful had been a critical 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 a full hour with lightning-fast performance Redis expertise. Wanted 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 functional hassle. Completely managed solution and Redis expertise and help, allowing Coffee Meets Bagel to spotlight application innovation Fast information consume. Seamless scales to process over 300 million messages and much more than one billion matches an hour or so, without the necessity for worker throttling immense savings that are operational. Flash storage for cool values reduces requirement for high priced RAM and saving over 40% of AWS costs.

“Redis Enterprise’s automobile scaling abilities have actually eradicated days of handbook work formerly necessary to make sure employees had been designed for scaling during high-traffic times. In addition, we’ve had no issue achieving 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 fundamental write that is high demands, it experienced noticeable dilemmas when it stumbled on simultaneous updates and deletions, causing partial outages that impacted end-user experience.

Coffee satisfies Bagel turned to Redis Enterprise to supply high-performance that is consistent. Redis Enterprise Virtual Private Cloud (VPC) ended up being deployed to seamlessly measure 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 the operations,” claims John Valdez, DevOps Engineer at Coffee Meets Bagel. “It ended up being the key explanation we opted for open-source in-memory Redis whenever building down our application architecture a long time ago, and, recently, it absolutely was a significant factor inside our choice to maneuver to Redis Enterprise.”

Caching, User Session Shop, Fast Data Ingest, Main Database

Redis Enterprise provides high-performing in-memory operations that enable Coffee Meets Bagel to come up with very individualized strategies for its scores of users, and procedure vast amounts of individual matches at high speeds, making use of a lot 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 significantly more than two terabytes (and growing) of individual information. Redis Enterprise’s data 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, without the necessity 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 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 consistency and significant financial savings. As Coffee Meets Bagel expands its worldwide existence, it can prefer to fundamentally leverage Redis Enterprise’s CRDT-based active-active architecture, that is made for geographically distributed applications. “Active-active replication may be a good fit for all of us once we carry on our expansion away from United States,” says Valdez. “But in the meantime, we’re just enjoying the breath of fresh air-—and the breathing room—that Redis Enterprise has taken to the operations.”


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