Coffee Satisfies Bagel. Why Coffee Meets Bagel Selects Redis Labs

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Coffee Satisfies 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 a lot more than three million users around the world. As Coffee Meets Bagel makes a concerted effort to expand its international 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.

Why Coffee Meets Bagel Selects Redis Labs

Coffee suits Bagel initially struggled along with its utilization of Cassandra and soon after its adoption 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 vital for 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 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 spend on Redis instances.

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 immense functional savings. Flash storage space for cool values reduces requirement for costly RAM and saving over 40% of AWS expenses.

“Redis Enterprise’s automobile scaling abilities have actually eradicated times of handbook work formerly needed 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 Important

Before adopting Redis, Coffee Meets Bagel had been struggling featuring its utilization of Cassandra myladyboydate. While Cassandra delivered on basic write that is high demands, it experienced noticeable dilemmas whenever it stumbled on simultaneous updates and deletions, leading to partial outages that impacted end-user experience.

Coffee satisfies Bagel looked to Redis Enterprise to supply constant high-performance. 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 open-source in-memory Redis whenever building down our application architecture a long time ago, and, recently, it had been a key point in our decision 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 create extremely individualized suggestions for its an incredible number of users, and procedure vast amounts of individual matches at high rates, utilizing lots of Redis’s versatile data structures bloom that is including, 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 information consume abilities seamlessly 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. As well as that, through Redis Enterprise’s in-memory processing and backlog queue, Coffee Meets Bagel has the capacity to store 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 cost benefits. As Coffee Meets Bagel expands its worldwide existence, it can prefer to fundamentally leverage Redis Enterprise’s CRDT-based architecture that is active-active that will be created for geographically distributed applications. “Active-active replication are going to 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 breath of fresh air-—and the breathing room—that Redis Enterprise has taken to the operations.”