Coffee Satisfies Bagel, Why Coffee Meets Bagel Selects Redis Labs

Coffee Satisfies Bagel, Why Coffee Meets Bagel Selects Redis Labs

Coffee satisfies Bagel is really a highly curated online service that is dating. Since its founding in 2012, the app that is dating has grown to significantly more than three million users world wide. 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 user 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 needs, it experienced partial outages that impacted the end-user experience. Although ElastiCache at first became a important 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 had been a critical with their operations and Redis Labs’ expertise has helped them troubleshoot problems whilst 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 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 pay attention to 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 importance of high priced RAM and saving over 40% of AWS expenses.

“Redis Enterprise’s automobile scaling abilities have actually eradicated times of handbook work previously 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. https://datingperfect.net/dating-sites/abdlmatch-reviews-comparison

Stephen Brandon Engineering Manager, Infrastructure Coffee Meet Bagel

High end is Mission Important

Before adopting Redis, Coffee Meets Bagel ended up being struggling having its utilization of Cassandra. While Cassandra delivered on basic write that is high needs, it experienced noticeable dilemmas whenever it found simultaneous updates and deletions, causing 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 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 several years ago, and, now, it absolutely was a significant factor inside our choice 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 create extremely individualized suggestions for its an incredible number of users, and procedure vast amounts of individual matches at high rates, making use of lots of Redis’s versatile data structures bloom that is including, sets, sorted sets, geospatial indexes and sinter operations. Redis Enterprise may 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 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 processing that is in-memory backlog queue, Coffee Meets Bagel has the capacity to keep information for later on use.

Reaping benefits that are many

Coffee matches Bagel has seen a great many other advantages after its go on to Redis Enterprise, including 24/7 help, straighforward automated operations, reduced AWS spend, cloud-agnostic persistence and significant financial savings. As Coffee Meets Bagel expands its worldwide existence, it could want to fundamentally leverage Redis Enterprise’s CRDT-based architecture that is active-active that is made for geographically distributed applications. “Active-active replication are going to be a great fit we continue our expansion outside the United States, ” says Valdez for us as. “But in the meantime, we’re just enjoying the breathing of fresh air-—and the breathing room—that Redis Enterprise has taken to the operations. ”

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