Autonomously optimize AWS Lambda deployments with Sedai and Datadog
In dynamic production environments, unpredictable traffic loads and frequent code changes can make it difficult for organizations to consistently optimize their cloud infrastructure, resulting in application performance issues, latency, and wasted cloud spend. Teams that manage large-scale cloud infrastructure deployments are often forced to tune their workloads’ configurations using a complicated mesh of script jobs—or worse, manual remediation by on-call engineers prompted by alerts.