Coffee Suits Bagel
Coffee satisfies Bagel is 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 world wide. As Coffee Meets Bagel makes an effort that is concerted expand its worldwide presence, it depends on Redis Enterprise Virtual Private Cloud (VPC) for lightning-fast performance that seamlessly mylol where friends meet scales across lots of critical functions—from caching and user analytics to real-time data streaming.
Why Coffee Meets Bagel Selects Redis Labs
Coffee satisfies Bagel initially struggled featuring its utilization of Cassandra and later its use of Elasticache. While Cassandra delivered on basic high write amount demands, it experienced partial outages that impacted the end-user experience. Although ElastiCache at first became a important section of Coffee Meets Bagel’s production environment, the DevOps group discovered they required a very 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.
Powerful. Processing upwards of 1 terabyte of data hour with lightning-fast performance Redis expertise. Desired a qualified partner to assist troubleshoot dilemmas, optimize performance, and smoothly measure operations Lowered expenses. Minimizing AWS expend on Redis instances.
Redis Enterprise Benefits
Zero hassle that is operational. Completely managed solution and Redis expertise and help, allowing Coffee Meets Bagel to pay attention to application innovation Fast data 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 Significant 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 actually eliminated times of handbook work formerly necessary to make sure workers 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 end is Mission Important
Before adopting Redis, Coffee Meets Bagel had been struggling using its utilization of Cassandra. While Cassandra delivered on basic high write amount needs, it experienced noticeable dilemmas 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 high-performance that is consistent. Redis Enterprise Virtual Private Cloud (VPC) was 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 become critical to the operations,” claims John Valdez, DevOps Engineer at Coffee Meets Bagel. “It ended up being the key reason we decided on open-source in-memory Redis when building down our application architecture years ago, and, recently, it had been a significant factor in our choice to go to Redis Enterprise.”
Caching, User Session Shop, Fast Data Ingest, Main Database
Redis Enterprise provides high-performing in-memory operations that make it possible for Coffee Meets Bagel to come up with very personalized suggestions for its an incredible number of users, and procedure vast amounts of individual matches at high rates, making use of 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 individual information. Redis Enterprise’s information 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, with no need for worker throttling. Along with that, through Redis Enterprise’s in-memory processing and backlog queue, Coffee Meets Bagel is able to keep information for later on use.
Coffee Meets Bagel has seen other advantages following its go on to Redis Enterprise, including 24/7 help, hassle free automated operations, reduced AWS invest, cloud-agnostic persistence and significant cost savings. As Coffee Meets Bagel expands its worldwide presence, it could choose to eventually leverage Redis Enterprise’s CRDT-based active-active architecture, which will be made for geographically distributed applications. “Active-active replication may be a good fit for people once 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 taken to the operations.”