Company and use case

Flightcrew is a cutting-edge startup focused on automating infrastructure configuration management to prevent incidents before they reach production. By scanning and creating automated GitHub pull requests, Flightcrew helps SRE and platform teams manage complex configurations efficiently. Their solution reduces cloud costs and engineering toil, providing real-time insights from cloud deployments. The company operates remotely with a team spread across the United States, ensuring flexibility and diversity in their operations.

Performance problems to solve

Before adopting Timescale, Flightcrew faced challenges in handling high-throughput data ingestion and real-time analytics. Their primary concerns were optimizing the storage and retrieval of large volumes of configuration data and ensuring low-latency access to this data for their machine learning models. The team needed a solution that could seamlessly integrate with their existing infrastructure and scale with their growing data needs without compromising on performance or reliability.

Performance gains unlocked

Flightcrew achieved significant improvements in data handling and processing. The database's hyper table feature allowed them to manage large datasets efficiently, facilitating high-throughput data ingestion and real-time analytics. This improvement not only reduced the complexity and cost of their data infrastructure but also enhanced the reliability of their services. The support from the Timescale team provided an additional layer of confidence, ensuring that any issues could be swiftly resolved. These advancements have been critical in maintaining the high standards of performance and reliability required for their automated configuration management system.