Coffee suits Bagel is really a highly curated online service that is dating. Since its founding in 2012, the app that is dating has grown to a lot more than three million users around the world. As Coffee Meets Bagel makes an effort that is concerted expand its international 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 individual analytics to real-time data streaming.
Coffee satisfies Bagel initially struggled using 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. Although ElastiCache at first became a vital section of Coffee https://datingperfect.net/dating-sites/mature-free-and-single-reviews-comparison Meets Bagel’s production environment, the DevOps group discovered they needed an extremely available and scalable solution with 24?7 help. For Coffee Meets Bagel, high end ended up being a critical with their operations and Redis Labs’ expertise has helped them troubleshoot problems while optimizing Redis’ performance capabilities.
Needs
High end. Processing upwards of 1 terabyte of information 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 expend on Redis circumstances.
Redis Enterprise Benefits
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 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 requirement for costly RAM and saving over 40% of AWS expenses.
“Redis Enterprise’s automobile scaling abilities have eradicated times of handbook effort formerly necessary 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 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 demands, it experienced noticeable problems 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 produce constant high-performance. Redis Enterprise Virtual Private Cloud (VPC) ended up being 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 your operations, ” claims John Valdez, DevOps Engineer at Coffee Meets Bagel. “It had been the key explanation we decided open-source in-memory Redis whenever building away our application architecture a long time ago, and, recently, it absolutely was a significant factor within 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 create extremely individualized strategies for its an incredible number of users, and procedure huge 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 may be the main database for significantly more than two terabytes (and growing) of user 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. Along with that, through Redis Enterprise’s in-memory processing and backlog queue, Coffee Meets Bagel has the capacity to keep information for later on use.
Reaping benefits that are many
Coffee suits Bagel has seen other advantages after 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 want to fundamentally leverage Redis Enterprise’s CRDT-based architecture that is active-active that is made for geographically distributed applications. “Active-active replication should be a good fit for all of us once 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. ”