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bongoDev | Chaos Engineering & Resilience Testing Pro - Knowledge Hub

Knowledge Hub/Chaos Engineering & Resilience Testing Pro

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Chaos Engineering & Resilience Testing Pro

Production chaos engineering and resilience testing with steady-state hypotheses, controlled fault injection, blast-radius and stop controls, Kubernetes and cloud chaos platforms, game days, CI/CD resilience gates, failure-mode validation and evidence-driven recovery.

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৳ 320.00৳ 120.00Save ৳ 200.00

Lessons

62 published lessons · 1 free preview

01Chaos Engineering & Resilience Testing Mental ModelBuild the correct mental model for controlled failure injection, evidence-driven resilience validation and safe learning.Beginner · 32 min readFree previewFree preview
02Resilience Testing vs Chaos Engineering vs Game DaysChoose the right validation technique: deterministic resilience tests, controlled chaos experiments, operational game days or disaster-recovery exercises.

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03Preconditions: Production Readiness Before ChaosEstablish ownership, observability, rollback and operational controls before injecting production faults.Beginner · 34 min readLockedLocked

04Steady State: Define What Must Remain TrueTurn business and technical health into measurable invariants that can be evaluated before, during and after a fault.Beginner · 34 min readLockedLocked

05Hypothesis Engineering: Make the Experiment FalsifiableWrite hypotheses that predict observable system behavior and can clearly pass or fail.Beginner · 32 min readLockedLocked

06Blast Radius EngineeringControl how many users, resources, zones and dependencies a failure can affect while still testing the intended assumption.Intermediate · 36 min readLockedLocked

07Guardrails, Abort Conditions & Stop ControlsDesign independent safety controls that stop or contain an experiment when customer impact exceeds the allowed boundary.Intermediate · 38 min readLockedLocked

08The Chaos Experiment LifecycleRun experiments through preparation, baseline, injection, observation, recovery, validation and learning.Intermediate · 36 min readLockedLocked

09Failure Taxonomy & Fault ModelingBuild a failure catalog from real architecture risks rather than choosing experiments only from a tool menu.Intermediate · 38 min readLockedLocked

10Experiment Design: One Variable, Clear ControlsDesign experiments so evidence can be attributed to the injected failure rather than unrelated change or noisy conditions.Intermediate · 36 min readLockedLocked

11Observability Before Fault InjectionInstrument the system so a chaos experiment can answer what failed, who was impacted and how recovery occurred.Intermediate · 38 min readLockedLocked

12SLIs, SLOs & Error Budgets in Chaos ExperimentsUse reliability objectives to define acceptable degradation and decide when production experimentation is too risky.Intermediate · 40 min readLockedLocked

13Measure Detection, Mitigation & RecoveryQuantify resilience using detection time, failover time, customer impact and return-to-steady-state instead of binary pass/fail only.Intermediate · 38 min readLockedLocked

14Preproduction to Production: Progressive ExperimentationGraduate experiments through environments and progressively increase realism, traffic and blast radius.Intermediate · 38 min readLockedLocked

15Security, RBAC, Audit & Approval ControlsTreat fault injection as a privileged production capability with least privilege, explicit target scope and auditable execution.Advanced · 42 min readLockedLocked

16Process & Service Termination FaultsTest whether supervisors, replicas, health checks and traffic routing recover correctly from process-level failure.Intermediate · 34 min readLockedLocked

17CPU Pressure & Throttling ExperimentsValidate behavior when compute becomes saturated, throttled or unavailable without assuming autoscaling will save the service.Intermediate · 36 min readLockedLocked

18Memory Pressure, OOM & Leak ResilienceTest memory pressure, process OOM behavior, restart safety and degraded node conditions.Intermediate · 38 min readLockedLocked

19Disk, Filesystem & I/O FaultsValidate behavior under disk latency, full filesystems, inode exhaustion, read/write errors and storage unavailability.Advanced · 42 min readLockedLocked

20Network Latency, Loss, Jitter & Bandwidth FaultsTest how the system behaves when the network becomes slow or unreliable rather than completely unavailable.Advanced · 42 min readLockedLocked

21Network Partitions & Split-Brain ScenariosValidate quorum, leader election, fencing and safe behavior when components can no longer communicate.Advanced · 46 min readLockedLocked

22DNS Failure & Resolver DegradationTest caching, resolver failover, connection reuse and application behavior when DNS is slow, wrong or unavailable.Advanced · 40 min readLockedLocked

23Clock Skew, Timeouts & Certificate-Time FaultsTest hidden dependence on synchronized clocks across tokens, certificates, leases, retries and distributed ordering.Advanced · 42 min readLockedLocked

24Dependency Failure: Timeout, Error & Rate-Limit InjectionValidate fallbacks, timeout budgets, retries and graceful degradation when a mandatory or optional dependency misbehaves.Advanced · 42 min readLockedLocked

25Database Failover & Connection-Pool ResilienceTest failover, stale connections, transaction behavior, retry safety and application reconnection to a new database writer.Advanced · 46 min readLockedLocked

26Redis & Cache Failure ExperimentsTest cache loss, eviction, latency and cold-cache behavior without triggering an uncontrolled database stampede.Advanced · 42 min readLockedLocked

27Kafka, Queue & Backlog Resilience ExperimentsTest broker/consumer failure, processing slowdown, redelivery, ordering, lag growth and safe backlog recovery.Advanced · 44 min readLockedLocked

28Container Runtime & Docker Failure InjectionTest container death, resource constraints, image/runtime dependencies and restart behavior below Kubernetes orchestration.Intermediate · 36 min readLockedLocked

29Kubernetes Pod & Container ChaosValidate replica redundancy, readiness, disruption handling, idempotency and recovery when pods or containers fail.Advanced · 42 min readLockedLocked

30Kubernetes Node Failure & Capacity LossTest scheduling, eviction, topology spread, spare capacity and recovery when a worker node disappears.Advanced · 44 min readLockedLocked

31Kubernetes Network, DNS & Service-Path ChaosInject faults into service-to-service traffic, CoreDNS-dependent resolution and cluster networking while keeping scope precise.Advanced · 44 min readLockedLocked

32Chaos Mesh: Kubernetes-Native Fault InjectionUse Chaos Mesh CRDs and workflows to orchestrate pod, network, stress, I/O and time faults safely in Kubernetes.Advanced · 46 min readLockedLocked

33LitmusChaos: Experiments, Probes & WorkflowsUse LitmusChaos to compose cloud-native faults with probes, workflows and declarative resilience checks.Advanced · 44 min readLockedLocked

34AWS Fault Injection Service (FIS)Design managed AWS fault-injection experiments using targets, actions, experiment roles, stop conditions and logs.Advanced · 46 min readLockedLocked

35Azure Chaos Studio: Experiments, Scenarios & TargetsUse Azure Chaos Studio with fault targets, capabilities, managed identities, experiments and newer scenario-based resilience testing.Advanced · 46 min readLockedLocked

36Service Mesh & Application-Layer Fault InjectionInject delay, aborts and synthetic failures close to the request path to validate resilience without disrupting underlying infrastructure.Advanced · 42 min readLockedLocked

37Availability-Zone & Regional Failure DrillsValidate real failure-domain independence, traffic routing, data placement and spare capacity at zone and region scale.Advanced · 48 min readLockedLocked

38Autoscaling Under FailureTest how HPA, node autoscaling and cloud scaling control loops behave when failure reduces capacity or increases latency.Advanced · 42 min readLockedLocked

39Retries, Circuit Breakers, Backpressure & Load SheddingUse chaos to verify resilience patterns behave correctly under slow and failing dependencies.Advanced · 44 min readLockedLocked

40Stateful Systems & Data-Safety BoundariesDesign chaos experiments for databases and storage without confusing availability testing with destructive data corruption.Advanced · 48 min readLockedLocked

41Combine Load Testing with Fault InjectionValidate resilience at realistic utilization so redundancy and recovery are tested under the conditions where they matter.Advanced · 44 min readLockedLocked

42Chaos in CI/CD: Resilience GatesAutomate small, deterministic resilience checks in delivery pipelines without turning every deployment into a risky production experiment.Advanced · 42 min readLockedLocked

43Experiment as Code & GitOpsVersion chaos definitions, policies, probes and expected outcomes so experiments are reviewable and reproducible.Advanced · 40 min readLockedLocked

44Continuous Resilience Testing & SchedulingMove from one-off demonstrations to recurring validation while preventing experiments from becoming noisy or unsafe.Advanced · 40 min readLockedLocked

45Game Days: Rehearse the Whole SystemDesign game days that exercise technology, people, runbooks, communication and decision-making under controlled failure.Advanced · 46 min readLockedLocked

46Incident Response & On-Call Rehearsal with ChaosUse controlled failure to validate paging, escalation, incident command, triage and mitigation readiness.Advanced · 44 min readLockedLocked

47DR & Backup Recovery Game DaysCombine failure injection with disaster-recovery and restore procedures to prove recovery objectives and operator readiness.Advanced · 48 min readLockedLocked

48Cyber Resilience & Security Failure ScenariosExercise isolation, credential revocation, dependency denial and recovery controls for security-driven service disruption without simulating harmful intrusion.Advanced · 46 min readLockedLocked

49Third-Party & SaaS Dependency FailureValidate behavior when payment, identity, messaging or other external providers become slow, unavailable or rate limited.Advanced · 42 min readLockedLocked

50Platform & Shared-Service Failure ExperimentsTest hidden coupling to DNS, identity, service discovery, registry, secret stores, ingress and other shared platform services.Advanced · 44 min readLockedLocked

51Data Corruption, Poison Messages & Semantic FaultsTest malformed, stale and semantically invalid data paths safely without corrupting authoritative production state.Advanced · 44 min readLockedLocked

52Configuration, Feature-Flag & Secret Failure InjectionValidate resilience to missing, stale or invalid configuration and controlled credential/secret failures.Advanced · 42 min readLockedLocked

53Observability-System Failure & Dark OperationsTest whether the service and responders can operate when metrics, logs, traces or paging are partially unavailable.Advanced · 42 min readLockedLocked

54Control-Plane Failure TestingValidate behavior when orchestration or management APIs are impaired while the data plane may continue serving traffic.Advanced · 46 min readLockedLocked

55Experiment Results, Debriefs & RemediationTurn experiment evidence into durable engineering improvements instead of one-off demonstrations.Intermediate · 38 min readLockedLocked

56Chaos Engineering Anti-PatternsRecognize unsafe or low-value practices that create disruption without reliable learning.Intermediate · 38 min readLockedLocked

57Resilience Maturity, Governance & ScorecardsBuild an organizational program that tracks proven assumptions, experiment freshness, remediation and risk coverage.Advanced · 44 min readLockedLocked

58End-to-End Lab: Kubernetes Checkout ResilienceRun a staged Kubernetes chaos exercise across pod loss, dependency latency and CPU pressure while preserving business correctness.Advanced · 58 min readLockedLocked

59End-to-End Lab: Cloud Zonal Failure & Dependency DegradationExercise a production-like cloud service through one-zone capacity loss followed by a controlled external-dependency degradation.Advanced · 60 min readLockedLocked

60Chaos Experiment Troubleshooting PlaybookTroubleshoot whether an unexpected result came from target selection, injection failure, guardrail behavior, workload response or incomplete cleanup.Advanced · 48 min readLockedLocked

61Chaos Engineering Command & Evidence PlaybookUse commands and APIs to prove experiment state, target scope, workload impact and recovery across Kubernetes, AWS and Azure.Advanced · 50 min readLockedLocked

62Chaos Engineering & Resilience Testing Pro CheatsheetA compact production reference for hypotheses, guardrails, blast radius, fault classes, tools, game days and experiment evidence.Advanced · 38 min readLockedLocked