Coffee Satisfies Bagel. Why Coffee Meets Bagel Selects Redis Labs
Coffee suits Bagel is really 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 around the world. 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 lots of critical functions—from caching and individual analytics to real-time data streaming.
Why Coffee Meets Bagel Selects Redis Labs
Coffee suits Bagel initially struggled having its utilization of Cassandra and soon after its adoption 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 fundamental section of Coffee Meets Bagel’s manufacturing environment, the DevOps group discovered they needed a very available and scalable solution with 24×7 help. For Coffee Meets Bagel, powerful ended up being a vital with their operations and Redis Labs’ expertise has helped them troubleshoot problems whilst optimizing Redis’ performance capabilities.
Demands
High end. Processing upwards of 1 terabyte of information a full hour with lightning-fast performance Redis expertise. Desired a partner that is knowledgeable help troubleshoot dilemmas, optimize performance, and smoothly measure operations Lowered expenses. Minimizing AWS expend on Redis circumstances.
Redis Enterprise Advantages
Zero functional hassle. 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 and much 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 requirement for high priced RAM and saving over 40% of AWS expenses.
“Redis Enterprise’s automobile scaling abilities have eradicated days of handbook work formerly expected to make sure that employees 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 ended up being struggling featuring 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, causing 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) ended up being deployed to seamlessly measure around the world while serving lots of critical functions, including caching, user 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 key explanation we selected open-source in-memory Redis whenever building away our application architecture years ago, and, now, it absolutely was a key point within our choice to go to Redis Enterprise.”
Caching, User Session Shop, Fast Information Ingest, Primary Database
Redis Enterprise provides high-performing in-memory operations that make it possible for Coffee Meets Bagel to build very individualized strategies for its an incredible number of users, and procedure huge amounts of user matches at high rates, making use of lots of Redis’s versatile data structures bloom that is including, sets, sorted sets, geospatial indexes and sinter operations. Redis Enterprise could be the database that is primary a lot more than two terabytes (and growing) of individual information. Redis Enterprise’s information consume capabilities seamlessly 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 Meets Bagel has seen a great many other benefits after its relocate to Redis Enterprise, including 24/7 help, straighforward automated operations, reduced AWS invest, cloud-agnostic persistence and significant financial savings. As Coffee Meets Bagel expands its worldwide presence, it might prefer to fundamentally leverage Redis Enterprise’s CRDT-based active-active architecture, that is made for geographically distributed applications. “Active-active replication is likely to be a good fit for all of us even as 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 had to the operations.”
