Before being acquired by Facebook in 2017 and integrated into Messenger, Ozlo was a startup tech company with a vision for an interactive and personable AI app that aided customers in finding nearby and well-rated service industry businesses. Known as "Your friendly AI sidekick,” it was the first chatbot with a persona that used individual chat history and geolocation to understand a question’s context. It collected data across various sources such as Facebook, YouTube, Yelp, etc., to perform tasks such as finding restaurants, discovering recipes, ordering delivery, or buying movie tickets. Ozlo’s vision and work proved successful. It was acquired by Facebook about a year after its entry into the marketplace. nClouds is proud to have been a part of Ozlo’s success story.
Software, Artificial intelligence (AI), Machine Learning (ML)
Palo Alto, CA
Accelerate the throughput rate of data infrastructure builds to improve cost optimization, scalability, and developer productivity on AWS.
Application Modernization, Containerization, DevOps
Increased developer productivity
Ozlo began with a single massive test suite that validated the integrity of all application components. Each pull request triggered a data infrastructure build. As the size of its team grew, builds became backlogged, which affected developer productivity. It needed to accelerate the throughput rate of data infrastructure builds to improve cost optimization, scalability, and developer productivity on AWS.
Ozlo selected nClouds to create this solution based on its application modernization, containerization, and DevOps expertise.
Using Troposphere and an AWS CloudFormation template, nClouds teamed with Ozlo to create an Amazon ECS cluster, a Docker registry, and two AWS Auto Scaling Groups (one group with a single RI and three Amazon EC2 Spot Instances).
The Amazon ECS cluster provides containers that can act as Jenkins agents. nClouds moved shared data to Amazon EFS to provide a strong data consistency model with a high throughput rate and shared file access. By mounting the volume to the container agent, Ozlo can more quickly perform these jobs and consolidate multiple local file repositories into a single location for all users.
nClouds reserved 95% of the CPU for each build job and defined scaling policies based on the Amazon ECS Cluster CPU reservation. Using Amazon EC2 Auto Scaling groups, Ozlo can maintain, scale up, or scale down the Amazon EC2 Spot Instance cluster based on its application’s demands. As a result, configurable cluster agents can automatically scale up to 4X based on the demand for running multiple jobs.
Teaming with nClouds, Ozlo now has a faster throughput rate for its data infrastructure builds. The project has yielded numerous benefits:
Build results are now delivered 3X faster for multiple parallel builds, increasing Ozlo’s developers’ productivity.
Amazon ECS, Amazon EFS, and AWS Auto Scaling group provide Ozlo with improved scalability. Configurable cluster agents can automatically scale up to 4X based on the demand for running multiple jobs.
nClouds optimized Ozlo’s costs by implementing RIs and Spot Instances that provide significant discounts compared to On-Demand pricing. Amazon ECS, Amazon EFS, and AWS Auto Scaling groups automatically adjust capacity to maintain steady, predictable performance at the lowest possible cost.
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