Coffee satisfies Bagel is just 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 world wide. As Coffee Meets Bagel makes an effort that is concerted 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 individual 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 high write amount needs, it experienced partial outages that impacted the end-user experience. Although ElastiCache at first became a vital section of Coffee Meets Bagel’s manufacturing environment, the DevOps group discovered they required a very available and scalable solution with 24?7 help. For Coffee Meets Bagel, high end had been a vital with 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 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 spend on Redis circumstances.
Redis Enterprise Advantages
Zero hassle that is operational. Fully 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 https://datingperfect.net/dating-sites/iamnaughty-reviews-comparison and 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 significance of costly RAM and saving over 40% of AWS expenses.
“Redis Enterprise’s automobile scaling abilities have actually eradicated times of manual effort formerly necessary to make sure that workers 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. While Cassandra delivered on basic high write amount needs, 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 provide high-performance that is consistent. 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 long been critical to the operations, ” claims John Valdez, DevOps Engineer at Coffee Meets Bagel. “It ended up being the reason that is key opted for open-source in-memory Redis whenever building away our application architecture several years ago, and, recently, it had been an important facet within 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 personalized strategies for its an incredible number of users, and procedure vast amounts of individual matches at high rates, making use of several of Redis’s versatile data structures including bloom filters, sets, sorted sets, geospatial indexes and sinter operations. Redis Enterprise may be the main database for significantly more than two terabytes (and growing) of individual information. Redis Enterprise’s information seamlessly ingest capabilities scale to process up to one terabyte of data 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 on use.
Reaping benefits that are many
Coffee matches Bagel has seen a number of other advantages after its go on to Redis Enterprise, including 24/7 help, straighforward automated operations, reduced AWS spend, 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 active-active architecture, which can be created for geographically distributed applications. “Active-active replication should be a good 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 your operations. ”