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 dating application provider has grown to significantly more than three million users world wide. As Coffee Meets Bagel makes an effort that is concerted expand its worldwide existence, it utilizes Redis Enterprise Virtual Private Cloud (VPC) for lightning-fast performance that meddle search 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 use of Elasticache. While Cassandra delivered on fundamental high write amount needs, it experienced partial outages that impacted the end-user experience. The DevOps team found they needed a highly available and scalable solution with 24×7 support although ElastiCache initially became a integral part of Coffee Meets Bagel’s production environment. For Coffee Meets Bagel, powerful had been a crucial for their operations and Redis Labs’ expertise has helped them troubleshoot problems while optimizing Redis’ performance capabilities.

Needs

Powerful. Processing upwards of 1 terabyte of information 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 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 communications and much more than one billion matches an hour or so, with no need for worker throttling immense operational savings. Flash storage space for cold values reduces significance of high priced RAM and saving over 40% of AWS costs.

“Redis Enterprise’s car scaling capabilities have actually eradicated times of handbook work formerly necessary to make sure 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 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 suits Bagel looked to Redis Enterprise to supply high-performance that is consistent. Redis Enterprise Virtual Private Cloud (VPC) had been 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 been critical to the operations,” says John Valdez, DevOps Engineer at Coffee Meets Bagel. “It ended up being the reason that is key decided open-source in-memory Redis whenever building away our application architecture several years ago, and, recently, it absolutely was a key point in our choice to go 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 build very individualized strategies 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 database that is primary significantly more than two terabytes (and growing) of individual information. Redis Enterprise’s information consume abilities seamlessly scale to process up to one terabyte of information one hour, including over 300 million exchanged communications and much more than one billion matches, without the necessity 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 number of other advantages following its relocate to Redis Enterprise, including 24/7 support, 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 will be made for geographically distributed applications. “Active-active replication should be an excellent 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 brought to your operations.”