Coffee matches 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 around the world. As Coffee Meets Bagel makes an effort that is concerted expand its worldwide existence, it utilizes 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 having 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 interracial cupid ElastiCache at first became a fundamental section of Coffee Meets Bagel’s manufacturing environment, the DevOps team discovered they required an extremely available and scalable solution with 24?7 help. For Coffee Meets Bagel, powerful had been a crucial with their operations and Redis Labs’ expertise has helped them troubleshoot problems whilst optimizing Redis’ performance capabilities.
Powerful. 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 scale operations Lowered expenses. Minimizing AWS expend on Redis circumstances.
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, without the necessity for worker throttling immense functional savings. 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 eradicated times of manual work formerly necessary to make sure workers had been designed for scaling during high-traffic times. In addition, we’ve had no nagging issue achieving 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 fundamental write that is high 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 consistent high-performance. Redis Enterprise Virtual Private Cloud (VPC) ended up being 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 been critical to the operations, ” claims John Valdez, DevOps Engineer at Coffee Meets Bagel. “It had been the reason that is key selected 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 move 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, making use of a lot 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 information one hour, including over 300 million exchanged messages and much more than one billion matches, without the necessity for worker throttling. As well as that, through Redis Enterprise’s in-memory processing and backlog queue, Coffee Meets Bagel has the capacity to keep information for later on use.
Coffee matches Bagel has seen a great many other benefits 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 might love to fundamentally leverage Redis Enterprise’s CRDT-based architecture that is active-active that will be created for geographically distributed applications. “Active-active replication is 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. ”