Lambda Kata
Eliminate AWS Lambda Cold Starts for Node.js
Lambda Kata is a high-performance runtime that removes cold starts and stabilizes p95/p99 latency for Node.js Lambda functions. Predictable performance for mission-critical serverless workloads.
Lambda Kata provides a runtime designed to flatten cold-start impact and stabilize tail latency so your functions behave consistently, even when traffic is spiky and workloads are complex.
With Lambda Kata, teams see a clear reduction in cold-start incidents and a tighter clustering of p95/p99 latency for Node.js Lambdas. That translates into fewer production fires and more predictable performance graphs.
When Node.js Lambdas become predictable, cost optimization stops being guesswork. Lambda Kata helps organizations run latency-critical workloads on serverless without constantly compensating for cold-start spikes.
Instead of asking you to rewrite services or leave serverless, Lambda Kata upgrades the runtime under your existing Node.js Lambdas. You keep the same APIs, domains, and infrastructure.
Cold starts and random tail latency are not academic problems—they show up as failed payments, broken SLAs, and frustrated teams. One slow Node.js Lambda on an authorization path or pricing API can cascade into timeouts, retries, and lost revenue, even when the average latency looks "fine".
Modern cloud platforms depend on real-time responses, but AWS Lambda cold starts make Node.js functions behave like a roulette wheel. Most requests are okay, and then a few suddenly take 1,400–4,000 ms longer, triggering alerts and breaking dashboards.
Teams are forced to build fragile warm-up hacks just to stay within contractual SLAs. You can scale out Lambdas across regions and accounts, but you cannot scale out trust if runtime behavior is unpredictable.
Lambda Kata is built for organizations where latency is tightly linked to money, risk, or customer trust.
A payment provider used Node.js Lambdas for authorization but suffered from rare 600–900 ms spikes on cold starts, causing failed payments. With Lambda Kata, authorization latency became stable enough to tighten SLAs.
A trading platform relied on Lambda-based pricing functions that occasionally missed their 200 ms target at p99. After introducing Lambda Kata, the p95/p99 spread narrowed, making it safe to rely on Lambda for real-time pricing.
An internal B2B platform exposed APIs backed by Node.js Lambdas, and sporadic latency spikes triggered noisy alerts. Lambda Kata smoothed tail latency, drastically reducing false-positive alerts.
The path to production with Lambda Kata is incremental. Start with one or two high-value Node.js Lambdas, observe the impact on latency and incident patterns, and then roll out the runtime to a wider set of services.