Managing Worker Load with Scalingo Auto-scaling
Learn how to implement auto-scaling for worker processes in Scalingo to handle traffic bursts while controlling costs and avoiding resource thrashing.
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Learn how to implement auto-scaling for worker processes in Scalingo to handle traffic bursts while controlling costs and avoiding resource thrashing.
Decide whether to manually set dyno counts or enable auto‑scaling on Scalingo by comparing cost, control, responsiveness. This guide outlines constraints, trade‑offs, and a concrete YAML example to help you pick the right strategy.
Learn how to configure Scalingo’s built‑in CPU‑based autoscaler for a stateless web app: requirements, minimal setup, trust boundaries, operational checks, failure modes, and verification steps.
When a DynamoDB table in Provisioned Capacity Mode hits throttling, latency spikes and ProvisionedThroughputExceededException errors surface. This guide walks you through symptoms, a quick diagnostic table, ordered checks, targeted fixes, and when to contact AWS support.
Guide to diagnosing DynamoDB ProvisionedThroughputExceededException throttling, with checks for burst capacity, hot partitions, auto scaling, item size, and strongly consistent reads.
Diagnose why Discloud auto-scaling ignores CPU thresholds. This guide covers metric bridge latency, interval mismatches, and v2.3 naming convention errors.
Deploy a stateless web service on Scalingo and let the platform auto‑scale it with minimal configuration. Learn the trust boundaries, operational checks, and failure modes that can force a redesign.
A step‑by‑step guide to diagnose and correct unexpected auto‑scaling behavior in Discloud, with checks, fixes, and escalation paths.
Goal Select a DynamoDB capacity mode for a table serving bursty read traffic while staying under a fixed monthly cost ceiling. On-demand mode bills per request and requires no capacity planning, which fits unpredictable spikes. Provisioned mode with Application Auto Scaling sets read capacity units and a target utilization, usually lowering the cost per requ