Adept & Cloudnaut
Adept Adept
Cloudnaut Cloudnaut
Adept Adept
Hey Cloudnaut, I’ve been looking into auto‑scaling policies and think we could tighten our cost/performance balance—what’s your take on balancing predictive scaling with manual overrides?
Cloudnaut Cloudnaut
Predictive scaling is great for smoothing out traffic, but it can hide those edge cases that only a human eye catches. I’d set a base policy that keeps the core nodes auto‑scaled, then layer on manual overrides for burst events or when a cost spike hits our thresholds. That way we stay cost‑tight but can still nudge the system when something feels off. Keep the dashboards clean, and you’ll see when the auto‑scaler is doing its job and when it’s time to pull the manual lever.
Adept Adept
Nice plan. Keep the baseline policy tight, add clear alerts for threshold breaches, and document the manual override steps so anyone can jump in without guesswork. That should keep cost in check and give you quick visibility when the auto‑scaler isn’t doing the job.
Cloudnaut Cloudnaut
Sounds solid—tight baseline, clear alerts, step‑by‑step docs. That gives the team a fast path to intervene and keeps the cost curve in line. Good call.
Adept Adept
Glad you agree. Let’s move to implementation and set up the metrics to confirm it’s keeping costs where we expect.
Cloudnaut Cloudnaut
All right, let’s roll this out. I’ll set up the key metrics—CPU, memory, and cost per request—and wire them into the dashboard. Once we see the curve flatten at the target cost, we’ll lock it in. We’ll keep a quick run‑book for manual overrides so everyone knows the playbook. Ready to hit the ground running.