Lambda Optimized Continuously, Not Just Once
Memory, concurrency, and cold starts require constant tuning as traffic and code change — but most teams set them once and move on. Sedai autonomously finds the optimal configuration for every function, continuously.
Lambda's Simplicity Is Real. Its Cost Model Is Genuinely Hard to Optimize.
Memory allocation controls CPU, and CPU controls execution time, which controls cost. These relationships make Lambda difficult to tune manually — especially across hundreds of functions with different traffic profiles and runtime behaviors.
Memory is the wrong knob when what you're tuning is CPU.
Lambda allocates CPU proportionally to memory. Teams that optimize on memory alone — without accounting for execution time tradeoffs — routinely end up paying for unused RAM or creating latency problems by under-allocating CPU.
Static provisioned concurrency wastes money by design.
Provisioned concurrency eliminates cold starts but is billed continuously regardless of actual traffic. A fixed setting that made sense at peak will overspend during every off-peak hour until someone adjusts it.
Reserved concurrency across hundreds of functions doesn't manage itself.
Maintaining appropriate concurrency limits across a large function fleet — as traffic patterns and deployment frequencies change — is ongoing work that SRE teams consistently deprioritize.
"Pretty much everything that we're doing is using Lambdas and Step Functions. It was a whole area that I thought I was going to have to spend a lot of resources on. But [now] the optimization of the memory and the CPU of our lambdas is something that I just have Sedai worry about. And we just see the results."
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Robert Berger
Chief Architect // Informed
How We Help
Memory & Performance Optimization
Sedai continuously adjusts each function's memory allocation — measuring impact on duration and cost — to find the configuration that delivers best performance at the lowest price.
Provisioned Concurrency Management
Sedai analyzes traffic patterns to dynamically adjust provisioned concurrency throughout the day, eliminating cold starts without the cost of a static configuration.
Reserved Concurrency Visibility
Sedai surfaces how account-level concurrency is distributed across all functions, making it practical to protect critical functions from being throttled by high-volume, non-critical ones.