Coffee Suits Bagel

Coffee Suits Bagel

Coffee satisfies Bagel is just 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 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 basic high write amount requirements, it experienced partial outages that impacted the end-user experience. Although ElastiCache initially became a key section of Coffee Meets Bagel’s manufacturing environment, the DevOps team discovered they required an extremely available and scalable solution with 24?7 help. For Coffee Meets Bagel, high end had been a vital with their operations and Redis Labs’ expertise has helped them troubleshoot problems whilst optimizing Redis’ performance capabilities.

Requirements

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

Redis Enterprise Benefits

Zero hassle that is operational. Fully 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, without the necessity for worker throttling immense operational savings. Flash storage space for cool values reduces importance of high priced RAM and saving over 40% of AWS expenses.

“Redis Enterprise’s automobile scaling abilities have eradicated times of handbook work formerly necessary to make sure that employees were 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 write that is high 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 produce high-performance that is consistent. 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,” says John Valdez, DevOps Engineer at Coffee Meets Bagel. “It had been the key explanation we decided open-source in-memory Redis whenever building down our application architecture several years ago, and, now, it had been an important facet within 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 come up with extremely individualized suggestions for its an incredible number of users, and procedure huge amounts of individual matches at high rates, utilizing a lot of Redis’s versatile data structures bloom that is including, sets, sorted sets, geospatial indexes and sinter operations. Redis Enterprise may be the primary database for significantly more than two terabytes (and growing) of individual information. Redis Enterprise’s information consume capabilities seamlessly 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. 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 use.

Reaping Advantages

Coffee suits Bagel has seen a great many other benefits following its relocate to Redis Enterprise, including 24/7 support, straighforward automated operations, reduced AWS invest, cloud-agnostic persistence and significant financial savings. As Coffee Meets Bagel expands its worldwide existence, it could choose to fundamentally leverage Redis Enterprise’s CRDT-based active-active anastasia-date.review | anastasiadate dating site review architecture, which can be created for geographically distributed applications. “Active-active replication may be an excellent fit for all of us once we continue our expansion outside of the usa,” says Valdez. “But in the meantime, we’re just experiencing the breath of fresh air-—and the breathing room—that Redis Enterprise has brought to your operations.”

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