Coffee Matches Bagel, Why Coffee Meets Bagel Selects Redis Labs

Coffee Matches Bagel, Why Coffee Meets Bagel Selects Redis Labs

Coffee satisfies Bagel is just 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 https://datingperfect.net/dating-sites/blackplanet-reviews-comparison across lots of critical functions—from caching and individual analytics to real-time data streaming.

Coffee suits Bagel initially struggled having 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. 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 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 hour with lightning-fast performance Redis expertise. Desired a knowledgeable partner to assist troubleshoot dilemmas, optimize performance, and smoothly measure operations Lowered expenses. Minimizing AWS expend on Redis circumstances.

Redis Enterprise Advantages

Zero hassle that is operational. Completely handled solution and Redis expertise and support, 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 AWS expenses.

“Redis Enterprise’s car scaling abilities have actually eliminated times of manual work formerly expected to make sure that employees had been designed for scaling during high-traffic times. In addition, we’ve had no 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 featuring its utilization of Cassandra. While Cassandra delivered on fundamental high write amount needs, it experienced noticeable problems whenever it found simultaneous updates and deletions, leading to partial outages that impacted end-user experience.

Coffee matches Bagel looked to Redis Enterprise to provide high-performance that is consistent. Redis Enterprise Virtual Private Cloud (VPC) had been deployed to seamlessly measure throughout the world while serving lots of critical functions, including caching, individual analytics and real-time data streaming.

“High performance has long been critical to the operations, ” claims John Valdez, DevOps Engineer at Coffee Meets Bagel. “It ended up being the reason that is key decided open-source in-memory Redis whenever building away our application architecture several years ago, and, now, it absolutely was a key point inside 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 very individualized suggestions for its an incredible number of users, and procedure vast amounts of individual matches at high rates, utilizing a lot 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 a lot more than two terabytes (and growing) of individual information. Redis Enterprise’s information consume capabilities 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. 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 on use.

Reaping Benefits

Coffee matches Bagel has seen a number of other advantages following its relocate 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 might love to fundamentally leverage Redis Enterprise’s CRDT-based architecture that is active-active that is made for geographically distributed applications. “Active-active replication may be a good fit for people even as we carry on our expansion away from united states of america, ” says Valdez. “But in the meantime, we’re just enjoying the breathing of fresh air-—and the breathing room—that Redis Enterprise has taken to your operations. ”