With so much data to track and analyze on a daily basis, having a robust, scalable, and cost-effective database is key. However, the company’s existing database was slow, with underused and mismanaged clusters. So FoodLogiQ migrated to ​MongoDB Enterprise Advanced as the first step towards a truly flexible, agile document database.

“We had lots of database problems. Things were going wrong, and we didn’t know why or how to solve them,” explained Leon Johnson, DevOps Manager, FoodLogiQ. “Then, when we first moved to MongoDB, we bit off more than we could chew and were trying to use it in a relational model, which obviously wasn’t optimal. So we decided to upgrade to Atlas.”

MongoDB Atlas is a global cloud database service for modern applications that can be deployed fully managed across AWS, Google Cloud, and Azure. It offers best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. FoodLogiQ is currently running Atlas on AWS.

“We are a small shop, so we can’t just hire 10 people and dub them database administrators. With Atlas, we can achieve more with fewer people,” added Johnson.

Leon Johnson, DevOps Manager, FoodLogiQ

Leon Johnson, DevOps Manager, FoodLogiQ

LaBreck and MongoDB helped optimize code, explained Johnson. “In previous data iterations, the teams found themselves making abstractions on top of abstractions; they couldn’t trace data sources due to the way the code was written. Justin suggested ways to make our code more idiomatic and easier to debug.” LaBreck also helped FoodLogiQ put a process in place where developers can verify whether a query is performant, in Johnson’s words, “instead of having the customer serve as your test bed.”

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While it used to take FoodLogiQ a full day to create a production clone of the database, it can now be done in just half an hour, saving valuable time: “We can set it and forget it without having to worry if the import was correct because Atlas automates issue resolution,” said Johnson.

With MongoDB, Johnson and the team implemented 15 new indexes in the span of a year, and most importantly, they were able to do it efficiently; they dropped a number of indexes completely, he said. Another area of improvement is their ability to isolate and optimize slow queries. “If I change the query in conjunction with a new index, by pairing hotfixes with new indexes, we can supercharge results,” he added.

Atlas is also helping FoodLogiQ save money: by merging two replica datasets into one, the company’s hosting bills have been cut in half. And, because it is fully hosted, FoodLogiQ doesn’t have to worry about maintenance and upkeep, and can focus on its core competencies instead.

FoodLogiQ is now looking to the future and offering a world-class, scalable platform to its customers, and MongoDB’s true multi-cloud capability is a big part of that. “MongoDB Atlas allows us to deal with multiple cloud providers while avoiding complexity. With Atlas, it’s just BOOM, and make the move. No need to scramble,” said Johnson. The multi-cloud story is also helping FoodLogiQ serve enterprise customers who ask about enabling continuity through multi-cloud. “So, for example, they may want to move from three nodes to five, and two of those may be with another cloud provider in other regions. With Atlas, we can make that happen for them without increasing complexity.”

Leon Johnson, DevOps Manager, FoodLogiQ