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bongoDev | Production Troubleshooting Pro - Knowledge Hub

Knowledge Hub/Production Troubleshooting Pro

Englishবাংলা

Learning path

Production Troubleshooting Pro

Evidence-driven troubleshooting across applications, Linux, networking, DNS, TLS, containers, Kubernetes, cloud, databases, Redis, queues/Kafka, storage, CI/CD, GitOps, configuration, dependencies, performance, capacity, distributed systems and production-safe mitigation.

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৳ 320.00৳ 120.00Save ৳ 200.00

Lessons

48 published lessons · 1 free preview

01Production Troubleshooting Mental Model: Evidence Before ActionBuild a disciplined troubleshooting loop that moves from user impact to evidence, hypothesis, safe test, mitigation and verification.Beginner · 30 min readFree previewFree preview
02Troubleshooting vs Incident Response vs Root Cause AnalysisSeparate live diagnosis, coordinated incident response and post-incident causal analysis so each activity happens at the right time.Beginner · 24 min readLockedLocked
03Hypothesis-Driven Troubleshooting: Use the Scientific MethodUse falsifiable hypotheses and predicted evidence to replace random debugging with controlled learning.Beginner · 28 min readLockedLocked
04Scope, Timeline & Recent Change: Establish the Shape of the FailureDetermine who is affected, where, when, how much and what changed before going deep into any subsystem.Beginner · 30 min readLockedLocked
05Trace the Critical Request Path: Edge → Service → Dependency → DataMap the full request path so symptoms are tested layer by layer instead of blamed on the nearest visible component.Intermediate · 32 min readLockedLocked
06Observability Evidence: Correlate Metrics, Logs, Traces & EventsCombine metrics, logs, traces and change events to answer different troubleshooting questions without relying on a single telemetry type.Intermediate · 32 min readLockedLocked
07Evidence Hygiene: Timestamps, Vantage Points, Baselines & State PreservationCollect trustworthy evidence with clear timestamps, source, baseline and limitations while protecting sensitive data and volatile state.Intermediate · 28 min readLockedLocked
08Production Triage Decision Tree: Classify Before You DiveClassify symptoms into traffic, compute, memory, storage, network, dependency, data or change domains to choose the highest-value next test.Intermediate · 30 min readLockedLocked
09Linux Host Triage: Establish Host Health in Five MinutesUse a bounded Linux triage sequence to determine whether CPU, memory, storage, process, network or kernel conditions are constraining the service.Intermediate · 34 min readLockedLocked
10CPU Saturation, Load, Scheduler Pressure & ThrottlingDistinguish true CPU saturation from load, throttling, lock contention and I/O wait, then choose the correct mitigation.Advanced · 34 min readLockedLocked
11Memory Pressure, OOM, Leaks, Swap & Garbage CollectionDiagnose memory exhaustion without confusing Linux cache usage, application heap pressure, container limits and OOM kills.Advanced · 36 min readLockedLocked
12Disk, Filesystems, Inodes & I/O LatencyTroubleshoot storage failures caused by full filesystems, inode exhaustion, read-only mounts, device latency, IOPS limits and noisy I/O.Advanced · 36 min readLockedLocked
13Processes, Threads, File Descriptors & Socket ExhaustionFind process-level exhaustion such as stuck threads, zombie processes, file-descriptor limits, connection leaks and runaway child processes.Advanced · 34 min readLockedLocked
14systemd, Journald, Kernel & Boot-Time FailuresDiagnose service startup, dependency, permission, unit, kernel and boot issues using systemd and journald evidence.Intermediate · 30 min readLockedLocked
15Network Path Troubleshooting: Layer by LayerTroubleshoot connectivity by proving name resolution, route, reachability, transport, TLS and application response in sequence.Intermediate · 34 min readLockedLocked
16DNS Troubleshooting: Resolution, Delegation, Caching & Split-HorizonDiagnose DNS failures involving wrong answers, stale caches, search domains, delegation, TTLs, private/public zones and Kubernetes DNS.Advanced · 36 min readLockedLocked
17TCP, Ports & Connection States: Refused vs Timeout vs ResetInterpret TCP connection failures and socket states to distinguish missing listeners, filtering, resets, backlog pressure and connection leaks.Advanced · 36 min readLockedLocked
18TLS, Certificates, SNI & mTLS TroubleshootingDiagnose handshake, trust, hostname, expiration, chain, SNI and mutual-TLS failures without disabling verification.Advanced · 38 min readLockedLocked
19HTTP & API Troubleshooting: Status, Headers, Timeouts & PayloadsUse HTTP semantics and timing to distinguish authentication, routing, application, upstream and timeout failures.Intermediate · 34 min readLockedLocked
20CDN, WAF, Proxies & Load BalancersTroubleshoot edge and proxy layers including health checks, target registration, routing, headers, WAF rules, draining and upstream timeout behavior.Advanced · 36 min readLockedLocked
21Docker & Container Runtime TroubleshootingDiagnose image, startup, filesystem, network, healthcheck, resource and exit failures inside containers without treating containers as opaque boxes.Intermediate · 36 min readLockedLocked
22Kubernetes Pod & Container Lifecycle TroubleshootingInterpret Pod phase, container state, readiness, probes, restart reasons, events and rollout state to find workload failures.Advanced · 40 min readLockedLocked
23Kubernetes Services, DNS, CNI & NetworkPolicy TroubleshootingTroubleshoot pod-to-service traffic through Service selectors, EndpointSlices, DNS, kube-proxy/data plane, CNI and NetworkPolicy.Advanced · 42 min readLockedLocked
24Kubernetes Nodes, Scheduling, Evictions & Resource PressureDiagnose Pending pods, taints/affinity conflicts, node pressure, eviction, kubelet issues and resource fragmentation.Advanced · 40 min readLockedLocked
25Cloud Troubleshooting: IAM, Network, Quotas & Managed ServicesUse a cloud-layer checklist for identity, networking, quotas, control-plane state and managed-service limits across AWS, Azure or GCP.Advanced · 40 min readLockedLocked
26Database Troubleshooting: Connections, Locks, Slow Queries & ReplicasTroubleshoot database-backed incidents through connection pools, session limits, locks, query latency, replication and storage pressure.Advanced · 42 min readLockedLocked
27Redis & Cache Troubleshooting: Latency, Memory, Eviction & Hot KeysDiagnose cache incidents involving hit rate, memory pressure, eviction, hot keys, blocked clients, persistence and failover behavior.Advanced · 38 min readLockedLocked
28Queues, Kafka & Event Pipeline TroubleshootingTroubleshoot asynchronous systems through producer success, broker health, backlog, consumer lag, poison messages, retries and downstream bottlenecks.Advanced · 40 min readLockedLocked
29Storage Troubleshooting: Block, File, Object & Persistent VolumesReason about storage by semantics—block, file, object and Kubernetes PVs—so capacity, latency, mount and consistency failures are diagnosed correctly.Advanced · 36 min readLockedLocked
30CI/CD & Deployment Troubleshooting: When Production Breaks After ChangeTroubleshoot release failures by comparing artifact, configuration, rollout state, environment and runtime behavior without blaming the pipeline generically.Advanced · 38 min readLockedLocked
31GitOps & Argo CD Troubleshooting: Desired State vs Live StateDistinguish Git/repository, manifest-generation, diff, sync, Kubernetes and workload-health failures in GitOps deployments.Advanced · 38 min readLockedLocked
32Configuration, Secrets, Feature Flags & Environment DriftDiagnose failures caused by missing, stale, malformed or environment-specific configuration while keeping secrets protected.Advanced · 38 min readLockedLocked
33Dependency Failures, Timeouts, Retries & Cascading OutagesIdentify when a downstream dependency turns into an upstream outage through timeout mismatch, retry amplification, exhausted pools and missing isolation.Advanced · 42 min readLockedLocked
34Latency & Performance Troubleshooting: Find Where the Time GoesBreak latency into queueing, CPU, network, dependency, lock and storage time using percentiles and request-path evidence.Advanced · 42 min readLockedLocked
35Capacity, Autoscaling, Throttling & Rate-Limit TroubleshootingDiagnose when demand exceeds safe capacity or scaling/control mechanisms respond too late, too little or in the wrong dimension.Advanced · 40 min readLockedLocked
36Concurrency, Locks, Thread Pools & Race ConditionsTroubleshoot stalls and intermittent failures caused by lock contention, thread-pool exhaustion, deadlocks and race-sensitive timing.Advanced · 42 min readLockedLocked
37Time, Clock Skew, NTP, Token & Certificate FailuresRecognize failures caused by incorrect time, timezone assumptions, clock skew, expiry windows and distributed timestamp interpretation.Advanced · 30 min readLockedLocked
38Data Correctness, Stale Reads & Corruption TroubleshootingTroubleshoot cases where the service is available but returns stale, inconsistent, duplicated or corrupted data.Advanced · 40 min readLockedLocked
39Distributed-System Partial Failure & Consistency ProblemsReason about partial failure, partitions, duplicate delivery, leader changes, stale replicas and inconsistent views without expecting one global truth instantly.Advanced · 42 min readLockedLocked
40“Works Here, Fails There”: Environment & Vantage-Point TroubleshootingSystematically compare identity, network, DNS, version, configuration and data when a request succeeds in one environment or location but fails in another.Intermediate · 34 min readLockedLocked
41Production-Safe Mitigation: Restart, Rollback, Scale, Drain or Fail Over?Choose mitigation based on failure mode, reversibility, blast radius and evidence instead of using restart as the universal response.Advanced · 40 min readLockedLocked
42Escalation, Vendor Evidence & Knowing When to Stop DiggingEscalate with a concise evidence packet when ownership boundaries, access or time make further local debugging inefficient or unsafe.Intermediate · 30 min readLockedLocked
43Lab 1 — Slow API After Deployment: Find the BottleneckRun a realistic investigation where latency rises after deployment but the newest code is not automatically the root cause.Advanced · 50 min readLockedLocked
44Lab 2 — 502/503 Across Kubernetes & Load BalancerDiagnose an edge failure that crosses load balancer health checks, Kubernetes Service routing and application readiness.Advanced · 50 min readLockedLocked
45Lab 3 — Database Saturation, Cache Miss Storm & Queue BacklogTroubleshoot a cascading production failure where a cache event amplifies database load and creates asynchronous backlog.Advanced · 55 min readLockedLocked
46Cross-Stack Production Troubleshooting PlaybookUse one consistent cross-stack sequence to move from user impact to the failing layer across Linux, network, Kubernetes, cloud and data systems.Advanced · 46 min readLockedLocked
47Production Troubleshooting Command & Evidence PlaybookConnect common Linux, network, Kubernetes, Docker, database, Redis and Kafka commands to the exact question each can and cannot answer.Advanced · 48 min readLockedLocked
48Production Troubleshooting Pro CheatsheetA compact field reference for evidence-driven troubleshooting across application, host, network, Kubernetes, cloud and data layers.Intermediate · 34 min readLockedLocked