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bongoDev | Capacity Planning & Scaling Pro - Knowledge Hub

Knowledge Hub/Capacity Planning & Scaling Pro

Englishবাংলা

Learning path

Capacity Planning & Scaling Pro

Production capacity engineering across demand modeling, forecasting, headroom, CPU/memory/storage/network/database/queue capacity, Kubernetes and cloud autoscaling, failure reserve, quotas, cost-aware scaling, overload protection and capacity incident prevention.

Discount price

৳ 320.00৳ 120.00Save ৳ 200.00

Lessons

51 published lessons · 1 free preview

01Capacity Planning Mental Model: Capacity Is a Reliability DecisionBuild a production capacity mindset that connects business demand, service limits, headroom, failure scenarios, scaling latency and cost.Beginner · 32 min readFree previewFree preview
02Capacity vs Performance vs Scalability vs ElasticitySeparate four related concepts so teams do not confuse a fast service, a scalable architecture and an adequately provisioned production system.Beginner · 28 min readLockedLocked
03Demand Modeling: Requests, Transactions, Users, Events & BytesChoose workload units that represent real production demand instead of vague measures such as users or traffic.Beginner · 30 min readLockedLocked
04Define a Capacity Unit: Throughput per Pod, VM, Worker or ShardCreate a measurable unit of service capacity so demand can be translated into replicas, instances, workers, partitions or shards.Beginner · 30 min readLockedLocked
05Utilization, Saturation & HeadroomDistinguish resource utilization from actual waiting and design headroom around risk rather than arbitrary percentages.Beginner · 32 min readLockedLocked
06Little's Law & Queueing Intuition for Capacity PlanningUse arrival rate, time in system and concurrency to reason about capacity and detect when latency growth creates hidden demand.Intermediate · 34 min readLockedLocked
07Capacity Curves, the Knee & Safe Operating PointFind the load level where latency or errors accelerate and choose a safe operating point below the breakpoint.Intermediate · 34 min readLockedLocked
08Bottleneck-First Capacity: Shared Dependencies Define the CeilingModel end-to-end capacity as the minimum capacity across all critical resources and dependencies.Intermediate · 34 min readLockedLocked
09Traffic Shape: Baseline, Burst, Spike, Seasonality & Diurnal PatternsPlan for the shape and speed of demand changes, not only the daily average or monthly peak.Beginner · 30 min readLockedLocked
10Peak-to-Average Ratio & Percentile DemandUse demand distributions and peak-to-average ratios to avoid sizing from averages or rare single-sample extremes.Intermediate · 30 min readLockedLocked
11Forecasting Fundamentals: Trend, Growth Rate & Planning HorizonTurn historical demand and business growth assumptions into an explicit capacity forecast over the correct planning horizon.Intermediate · 34 min readLockedLocked
12Forecasting Methods: Trend, Seasonality, Moving Windows & Scenario ModelsChoose a forecasting method appropriate to the workload and combine statistical history with business scenarios.Intermediate · 36 min readLockedLocked
13Forecast Error, Confidence Bands & Safety MarginsMeasure forecast accuracy and convert uncertainty into a deliberate capacity reserve instead of hidden overprovisioning.Intermediate · 34 min readLockedLocked
14Launches, Migrations & Business Events: Capacity for Known DiscontinuitiesPlan capacity for product launches, customer migrations, campaigns, batch backfills and other events that historical traffic cannot predict.Intermediate · 34 min readLockedLocked
15Growth Budgeting, N+1 Capacity & Capacity DebtReserve capacity for growth and failures while tracking architectural limits that become future capacity debt.Intermediate · 34 min readLockedLocked
16CPU Capacity: Utilization, Run Queue, Throttling & Work per CorePlan CPU capacity using work-per-core efficiency and saturation signals rather than a single utilization threshold.Intermediate · 36 min readLockedLocked
17Memory Capacity: Working Set, Leaks, Cache, GC & OOM RiskPlan memory around working-set behavior, concurrency, garbage collection and failure thresholds.Intermediate · 36 min readLockedLocked
18Storage Capacity I: Space, Growth, Retention & InodesForecast storage growth using ingest, retention, replication, compaction and filesystem limits.Intermediate · 34 min readLockedLocked
19Storage Capacity II: IOPS, Throughput, Latency & Queue DepthPlan storage performance capacity separately from storage space and identify when I/O is the true limiter.Advanced · 36 min readLockedLocked
20Network Capacity: Bandwidth, PPS, Connections, NAT & Ephemeral PortsPlan network capacity beyond Mbps by including packets, concurrent connections, connection establishment and address/port limits.Advanced · 38 min readLockedLocked
21Database Capacity: CPU, I/O, Locks, Replication & Storage GrowthBuild a database capacity model from transactions, query cost, working set, write rate, replication and recovery requirements.Advanced · 40 min readLockedLocked
22Connection Pools & Concurrency BudgetsSize connection pools from downstream service capacity and concurrency rather than assuming more connections increase throughput.Advanced · 36 min readLockedLocked
23Cache & Redis Capacity: Memory, Hit Rate, Hot Keys & EvictionPlan cache capacity using dataset size, hit rate, request concentration, memory overhead, eviction behavior and failure fallback.Intermediate · 36 min readLockedLocked
24Queue Capacity: Arrival Rate, Service Rate, Backlog & Drain TimeSize asynchronous workers so queues remain bounded and can drain after spikes or outages.Intermediate · 36 min readLockedLocked
25Kafka & Event-Streaming Capacity: Partitions, Consumers, Broker I/O & RetentionPlan event-stream capacity across producers, partitions, consumers, brokers, storage, retention and recovery traffic.Advanced · 38 min readLockedLocked
26External APIs, Quotas & Rate-Limit CapacityTreat third-party limits, cloud quotas and contractual rate limits as first-class capacity constraints.Intermediate · 34 min readLockedLocked
27Horizontal Scaling: Replicas, Efficiency & Shared LimitsUnderstand when adding replicas increases useful capacity and how to measure scaling efficiency.Intermediate · 34 min readLockedLocked
28Vertical Scaling & RightsizingUse larger resource allocations when workload characteristics require them and understand the ceiling and disruption trade-offs.Intermediate · 32 min readLockedLocked
29Stateless vs Stateful ScalingRecognize why stateful systems have different scaling lead times, consistency constraints and operational risks.Intermediate · 34 min readLockedLocked
30Scaling Lag, Warm-Up & Time-to-Useful-CapacityMeasure the entire delay from demand signal to a new unit actually serving useful work.Intermediate · 34 min readLockedLocked
31Autoscaling as a Feedback Control Loop: Hysteresis, Stabilization & FlappingDesign autoscaling behavior as a delayed feedback system and prevent oscillation, overreaction and unsafe scale-in.Advanced · 38 min readLockedLocked
32Kubernetes Resource Requests, Limits & Bin PackingUnderstand how pod requests define schedulable capacity and how inaccurate requests create both waste and scale failures.Intermediate · 38 min readLockedLocked
33Kubernetes HPA: Metrics, Replica Math & Scaling BehaviorUse Horizontal Pod Autoscaler with appropriate metrics, min/max capacity and stabilization behavior.Advanced · 42 min readLockedLocked
34Kubernetes VPA & Rightsizing AutomationUse Vertical Pod Autoscaler recommendations and update modes safely without hiding leaks or conflicting with scaling goals.Advanced · 40 min readLockedLocked
35Kubernetes Node Autoscaling: Cluster Autoscaler, Karpenter & Pending PodsPlan node capacity around pod scheduling constraints, provisioning latency, consolidation and failure-domain needs.Advanced · 42 min readLockedLocked
36Event-Driven Scaling with KEDAScale workers from queue/event demand and reason about polling, activation, cooldown and scale-to-zero trade-offs.Advanced · 38 min readLockedLocked
37AWS Auto Scaling: Target Tracking, Step & Predictive CapacityUse AWS scaling policies with utilization/throughput targets, warm-up and forecast-aware pre-scaling.Advanced · 40 min readLockedLocked
38Azure Autoscale: Profiles, Metric Rules & Predictive Scale-OutPlan Azure horizontal autoscale with profiles, rules, minimum/maximum capacity and forecast-aware options where supported.Advanced · 38 min readLockedLocked
39Google Cloud Autoscaling: MIG Targets, Initialization & Predictive ScalingPlan Compute Engine managed instance group capacity using target metrics, initialization periods and predictive pre-scaling.Advanced · 38 min readLockedLocked
40Scheduled & Predictive Pre-ScalingAdd capacity before known or forecast demand when reactive scaling cannot arrive fast enough.Intermediate · 34 min readLockedLocked
41Failure Headroom: N+1, Zone Loss & Degraded Dependency CapacityReserve enough capacity to meet critical demand after realistic component or failure-domain loss.Advanced · 38 min readLockedLocked
42Multi-Region & Failover CapacityDesign active-active or active-passive regional capacity so failover does not create a second outage.Advanced · 40 min readLockedLocked
43Cloud Quotas, Regional Scarcity & Capacity ReservationsPrevent autoscaling failures caused by account quotas, subnet/IP exhaustion, instance scarcity and provider capacity constraints.Advanced · 36 min readLockedLocked
44Cost-Aware Capacity: Cost per Successful Unit of WorkOptimize capacity with reliability guardrails using cost per successful transaction instead of utilization alone.Intermediate · 34 min readLockedLocked
45Scale-In Safety: Draining, Graceful Termination & ConsolidationRemove excess capacity without dropping requests, losing work or destabilizing stateful systems.Advanced · 38 min readLockedLocked
46Overload Protection: Admission Control, Backpressure & Load SheddingProtect the system when demand exceeds available or provisionable capacity instead of allowing cascading failure.Advanced · 40 min readLockedLocked
47Capacity Observability: Dashboards, Forecasts & Leading IndicatorsBuild capacity dashboards that show demand, safe limits, headroom, saturation, forecast and time-to-exhaustion.Intermediate · 36 min readLockedLocked
48Capacity Reviews, Ownership & GovernanceCreate a recurring operating process that turns forecasts and capacity debt into owned engineering work.Intermediate · 34 min readLockedLocked
49End-to-End Capacity Planning Lab: Scale a Production API for Growth & FailureBuild a complete capacity plan from business demand through web, database, cache, queue, Kubernetes and cloud constraints.Advanced · 55 min readLockedLocked
50Capacity Incident Debugging & Command PlaybookUse evidence to distinguish demand growth, autoscaling lag, quota exhaustion, resource saturation and dependency ceilings during a capacity incident.Advanced · 48 min readLockedLocked
51Capacity Planning & Scaling Pro CheatsheetA compact reference for demand modeling, forecasting, headroom, bottlenecks, autoscaling, quotas, failure reserve and capacity incidents.Intermediate · 36 min readLockedLocked