Coffee Suits Bagel

Coffee matches Bagel is just 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 an effort that is concerted 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 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 needs, it experienced partial outages that impacted the end-user experience. Although ElastiCache at first became a essential section of Coffee Meets Bagel’s production environment, the DevOps team found they required a very available and scalable solution with 24?7 help. For Coffee Meets Bagel, high end had been a crucial with their operations and Redis Labs’ expertise has helped them troubleshoot problems while optimizing Redis’ performance capabilities.

Demands

High end. Processing upwards of one terabyte of information hour with lightning-fast performance Redis expertise. Wanted an educated partner to assist troubleshoot dilemmas, optimize performance, and smoothly measure operations Lowered costs. Minimizing AWS spend 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 savings that are operational. Flash storage space for cool values reduces importance of costly RAM and saving over 40% of AWS expenses.

“Redis Enterprise’s car scaling abilities have actually 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 problem attaining 99.99% uptime.”

Stephen Brandon Engineering Manager, Infrastructure Coffee Meet Bagel

High Performance is Mission Critical

Before adopting Redis, Coffee Meets Bagel was struggling along with its utilization of Cassandra. While Cassandra delivered on fundamental high write amount needs, it experienced noticeable problems whenever it found simultaneous anastasia date updates and deletions, causing partial outages that impacted end-user experience.

Coffee Meets Bagel looked to Redis Enterprise to provide constant high-performance. Redis Enterprise Virtual Private Cloud (VPC) ended up being deployed to seamlessly scale throughout 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 reason that is key decided to go with open-source in-memory Redis whenever building down our application architecture several years ago, and, recently, it absolutely was a key point within our decision to go to Redis Enterprise.”

Caching, User Session Store, Fast Information Ingest, Main Database

Redis Enterprise provides high-performing in-memory operations that make it possible for Coffee Meets Bagel to create extremely personalized suggestions for its an incredible number of users, and procedure huge amounts of individual 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 primary database for significantly more than two terabytes (and growing) of individual information. Redis Enterprise’s data seamlessly ingest capabilities 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, without the necessity 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 a number of other advantages 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 prefer to fundamentally leverage Redis Enterprise’s CRDT-based active-active architecture, which can be made for geographically distributed applications. “Active-active replication may 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 had to the operations.”