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bongoDev | Scale-In Safety: Draining, Graceful Termination & Consolidation - Capacity Planning & Scaling Pro

TopicCapacity Planning & Scaling Pro

01Capacity Planning Mental Model: Capacity Is a Reliability DecisionPreview
02Capacity vs Performance vs Scalability vs Elasticity
03Demand Modeling: Requests, Transactions, Users, Events & Bytes
04Define a Capacity Unit: Throughput per Pod, VM, Worker or Shard
05Utilization, Saturation & Headroom
06Little's Law & Queueing Intuition for Capacity Planning
07Capacity Curves, the Knee & Safe Operating Point
08Bottleneck-First Capacity: Shared Dependencies Define the Ceiling
09Traffic Shape: Baseline, Burst, Spike, Seasonality & Diurnal Patterns
10Peak-to-Average Ratio & Percentile Demand
11Forecasting Fundamentals: Trend, Growth Rate & Planning Horizon
12Forecasting Methods: Trend, Seasonality, Moving Windows & Scenario Models
13Forecast Error, Confidence Bands & Safety Margins
14Launches, Migrations & Business Events: Capacity for Known Discontinuities
15Growth Budgeting, N+1 Capacity & Capacity Debt
16CPU Capacity: Utilization, Run Queue, Throttling & Work per Core
17Memory Capacity: Working Set, Leaks, Cache, GC & OOM Risk
18Storage Capacity I: Space, Growth, Retention & Inodes
19Storage Capacity II: IOPS, Throughput, Latency & Queue Depth
20Network Capacity: Bandwidth, PPS, Connections, NAT & Ephemeral Ports
21Database Capacity: CPU, I/O, Locks, Replication & Storage Growth
22Connection Pools & Concurrency Budgets
23Cache & Redis Capacity: Memory, Hit Rate, Hot Keys & Eviction
24Queue Capacity: Arrival Rate, Service Rate, Backlog & Drain Time
25Kafka & Event-Streaming Capacity: Partitions, Consumers, Broker I/O & Retention
26External APIs, Quotas & Rate-Limit Capacity
27Horizontal Scaling: Replicas, Efficiency & Shared Limits
28Vertical Scaling & Rightsizing
29Stateless vs Stateful Scaling
30Scaling Lag, Warm-Up & Time-to-Useful-Capacity
31Autoscaling as a Feedback Control Loop: Hysteresis, Stabilization & Flapping
32Kubernetes Resource Requests, Limits & Bin Packing
33Kubernetes HPA: Metrics, Replica Math & Scaling Behavior
34Kubernetes VPA & Rightsizing Automation
35Kubernetes Node Autoscaling: Cluster Autoscaler, Karpenter & Pending Pods
36Event-Driven Scaling with KEDA
37AWS Auto Scaling: Target Tracking, Step & Predictive Capacity
38Azure Autoscale: Profiles, Metric Rules & Predictive Scale-Out
39Google Cloud Autoscaling: MIG Targets, Initialization & Predictive Scaling
40Scheduled & Predictive Pre-Scaling
41Failure Headroom: N+1, Zone Loss & Degraded Dependency Capacity
42Multi-Region & Failover Capacity
43Cloud Quotas, Regional Scarcity & Capacity Reservations
44Cost-Aware Capacity: Cost per Successful Unit of Work
45Scale-In Safety: Draining, Graceful Termination & Consolidation
46Overload Protection: Admission Control, Backpressure & Load Shedding
47Capacity Observability: Dashboards, Forecasts & Leading Indicators
48Capacity Reviews, Ownership & Governance
49End-to-End Capacity Planning Lab: Scale a Production API for Growth & Failure
50Capacity Incident Debugging & Command Playbook
51Capacity Planning & Scaling Pro Cheatsheet

Englishবাংলা

Knowledge Hub/Capacity Planning & Scaling Pro/Scale-In Safety: Draining, Graceful Termination & Consolidation

Capacity Planning & Scaling Pro

Paid lesson · Advanced · 38 min read

Scale-In Safety: Draining, Graceful Termination & Consolidation

Remove excess capacity without dropping requests, losing work or destabilizing stateful systems.

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