Coffee Matches Bagel. Why Coffee Meets Bagel Selects Redis Labs

Coffee satisfies Bagel is really a highly curated online service that is dating. 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 hinges on Redis Enterprise Virtual Private Cloud (VPC) for lightning-fast performance that seamlessly 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 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 important element of Coffee Meets Bagel’s production environment, the seniorpeoplemeet DevOps group discovered they required a very available and scalable solution with 24×7 support. For Coffee Meets Bagel, high end had been a vital with their operations and Redis Labs’ expertise has helped them troubleshoot problems while optimizing Redis’ performance capabilities.

Needs

High performance. Processing upwards of 1 terabyte of data a full hour with lightning-fast performance Redis expertise. Desired a partner that is knowledgeable assist troubleshoot issues, optimize performance, and smoothly measure operations Lowered expenses. Minimizing AWS spend on Redis circumstances.

Redis Enterprise Advantages

Zero hassle that is operational. Completely managed solution and Redis expertise and help, allowing Coffee Meets Bagel to spotlight application innovation Fast information consume. Seamless scales to process over 300 million messages 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 dependence on high priced RAM and saving over 40% of AWS expenses.

“Redis Enterprise’s car scaling abilities have actually eradicated times of handbook work formerly needed 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 had been struggling featuring its utilization of Cassandra. While Cassandra delivered on fundamental high write amount requirements, 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 supply constant high-performance. Redis Enterprise Virtual Private Cloud (VPC) ended up being deployed to seamlessly measure throughout the world while serving lots of critical functions, including caching, individual analytics and real-time data streaming.

“High performance has long been critical to the operations,” says John Valdez, DevOps Engineer at Coffee Meets Bagel. “It had been the key explanation we decided to go with open-source in-memory Redis whenever building down our application architecture years ago, and, recently, it absolutely was an important facet inside our choice to move 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 huge amounts of individual matches at high rates, utilizing lots 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 information seamlessly ingest capabilities scale to process up to one terabyte of information one hour, including over 300 million exchanged communications and much more than one billion matches, with no need for worker throttling. As well as 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 Advantages

Coffee matches Bagel has seen a great many other advantages following its go on 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 existence, it can prefer to fundamentally leverage Redis Enterprise’s CRDT-based active-active architecture, that will be made for geographically distributed applications. “Active-active replication are going to be a good fit for people once we carry on our expansion outside of the 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.”

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