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 world wide. As Coffee Meets Bagel makes a concerted work to expand its worldwide existence, it depends on Redis Enterprise Virtual Private Cloud (VPC) for lightning-fast performance that seamlessly scales across a number 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 demands, it experienced partial outages that impacted the end-user experience. Although ElastiCache at first became a important element 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 ended up being a crucial for their operations and Redis Labs’ expertise has helped them troubleshoot problems whilst optimizing Redis’ performance capabilities.
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 issues, optimize performance, and smoothly measure operations Lowered expenses. Minimizing AWS expend on Redis circumstances.
Redis Enterprise Advantages
Zero functional hassle. 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, without the necessity for worker throttling immense functional savings. Flash storage space for cool values reduces significance of high priced RAM and saving over 40% of AWS expenses.
“Redis Enterprise’s car scaling capabilities have actually eradicated times of handbook work formerly needed to make sure that employees were 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 Critical
Before adopting Redis, Coffee Meets Bagel had been struggling along with its utilization of Cassandra. While Cassandra delivered on fundamental write that is high needs, it experienced noticeable dilemmas whenever it stumbled on simultaneous updates https://datingperfect.net/dating-sites/bdsm-singles-reviews-comparison and deletions, leading to partial outages that impacted end-user experience.
Coffee suits Bagel looked to Redis Enterprise to produce 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 been critical to the operations, ” says John Valdez, DevOps Engineer at Coffee Meets Bagel. “It had been the reason that is key decided to go with open-source in-memory Redis when building down our application architecture years ago, and, now, it absolutely was a significant factor 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 build very individualized suggestions for its an incredible number of users, and procedure vast amounts of individual matches at high rates, utilizing several 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 seamlessly ingest capabilities scale to process up to one terabyte of information one hour, including over 300 million exchanged communications 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 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 could love to fundamentally leverage Redis Enterprise’s CRDT-based architecture that is active-active which can be made for geographically distributed applications. “Active-active replication will undoubtedly be an excellent fit for people even as we carry on our expansion outside of the usa, ” says Valdez. “But in the meantime, we’re just experiencing the breathing of fresh air-—and the breathing room—that Redis Enterprise has had to the operations. ”