Case Study

Wavefront Enables Algolia to Optimize Operations at Scale

Wavefront Enables Algolia to Optimize Operations at Scale

Pages 2 Pages

Wavefront Enables Algolia to Optimize Operations at Scale The Challenge Algolia provides a hosted search service for a wide variety of customers. Because they replicate their engines geographically, their customers experience search results instantaneously. Given that both the customer base and the service usage are growing, Algolia must not only watch current performance to detect unexpected anomalies, but they must also trend data to ensure that, as they scale, their performance doesn’t bog down. The infrastructure components that must be monitored include: • CPU usage • RAM usage • Disk usage • Read and write I/Os • SSD state • Indexing speed • Queue size • Network latency • Inter-provider latency • Number of crashes Algolia also exposes an API both for setting and getting data,

Join for free to read