Coffee Matches Bagel. Why Coffee Meets Bagel Selects Redis Labs 2021-01-14 14:06:29

Coffee Matches Bagel. Why Coffee Meets Bagel Selects Redis Labs

Coffee suits Bagel is a highly curated online dating service. Since its founding in 2012, the dating application provider has grown to a lot more than three million users world wide. As Coffee Meets Bagel makes a concerted work to expand its worldwide existence, it utilizes 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 featuring its utilization of Cassandra and soon after its use of Elasticache. While Cassandra delivered on fundamental high write volume demands, 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, high end had been a critical for their operations and Redis Labs’ expertise has helped them troubleshoot problems while optimizing Redis’ performance capabilities.

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Needs

High end. Processing upwards of 1 terabyte of information hour with lightning-fast performance Redis expertise. Wanted a partner that is knowledgeable assist troubleshoot dilemmas, optimize performance, and smoothly measure operations Lowered costs. Minimizing AWS spend on Redis circumstances.

Redis Enterprise Advantages

Zero functional hassle. 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 significance of high priced RAM and saving over 40% of AWS expenses.

“Redis Enterprise’s car scaling capabilities 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 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 having its utilization of Cassandra. While Cassandra delivered on fundamental 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 suits Bagel looked to Redis Enterprise to provide consistent high-performance. Redis Enterprise Virtual Private Cloud (VPC) had been deployed to seamlessly measure around 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 on open-source in-memory Redis whenever building away our application architecture several years ago, and, recently, it absolutely was an important facet within our choice to move 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 create extremely individualized suggestions for its an incredible number of users, and procedure vast amounts of individual matches at high rates, utilizing a lot of Redis’s versatile data structures including bloom filters, sets, sorted sets, geospatial indexes and sinter operations. Redis Enterprise could be the main database for a lot more than two terabytes (and growing) of individual information. Redis Enterprise’s information seamlessly ingest capabilities scale to process well over one terabyte of information one hour, including over 300 million exchanged messages 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 Advantages

Coffee suits Bagel has seen a number of other advantages 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 international existence, it could prefer to eventually leverage Redis Enterprise’s CRDT-based architecture that is active-active which can be created for geographically distributed applications. “Active-active replication will likely 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 had to the operations.”

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