Coffee suits Bagel is really a highly curated online service that is dating. Since its founding in 2012, the dating application provider has grown to a lot 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 across lots of critical functions—from caching and individual analytics to real-time data streaming.
Coffee satisfies Bagel initially struggled along with 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 ElastiCache at first became a vital element of Coffee Meets Bagel’s manufacturing environment, the DevOps group found they required an extremely available and scalable solution with 24?7 help. For Coffee Meets Bagel, high end ended up being a vital for 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 partner that is knowledgeable assist troubleshoot dilemmas, optimize performance, and smoothly measure operations Lowered costs. 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 automobile scaling abilities have actually eradicated times of handbook work formerly needed to make sure 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 using its utilization of Cassandra. While Cassandra delivered on fundamental high write amount needs, 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 long been critical to your operations, ” claims John Valdez, DevOps Engineer at Coffee Meets Bagel. “It ended up being the key explanation we decided on open-source in-memory Redis whenever building down our application architecture several years ago, and, more recently, it absolutely was a significant factor in 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 come up with extremely individualized suggestions for its an incredible number of users, and procedure huge amounts of individual matches at high rates, making use of 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 data seamlessly ingest capabilities scale to process well over one terabyte of information 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 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 eventually leverage Redis Enterprise’s CRDT-based active-active architecture, which can be made for geographically distributed applications. “Active-active replication will likely 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 the operations. ”